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docs: replace OpenClaw docs skill and add plugin permissions guide

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* docs: replace openclaw docs skill

* docs: align technical documentation skill policy

* docs: restore openclaw refactor docs skill
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---
name: openclaw-docs
description: Write or review high-quality OpenClaw developer documentation.
dependencies: []
---
# OpenClaw Docs
## Overview
Use this skill when writing, editing, or reviewing OpenClaw developer documentation for APIs, SDKs, CLI tools, integrations, quickstarts, platform guides, or technical product docs.
Write documentation that is concise, helpful, and comprehensive: fast for first success, precise for production, and easy to scan when debugging.
## Core Model
Use an OpenClaw documentation model, strengthened by Write the Docs principles:
- Lead with what the developer is trying to do.
- Give one recommended path before alternatives.
- Make examples runnable and realistic.
- Keep guides task-oriented and references exhaustive.
- Explain production risks exactly where developers can make mistakes.
- Link concepts, guides, API references, SDKs, testing, and troubleshooting so readers can move between them without rereading.
- Treat docs as part of the product lifecycle: draft them before or alongside implementation, review them with code, and keep them current.
- Make each page discoverable, addressable, cumulative, complete within its stated scope, and easy to skim.
## Structure
Choose the page type before writing:
- Overview: route readers to the right product, integration path, or guide.
- Quickstart: get a new user to a working result with the fewest safe steps.
- Topic page: give an end-to-end overview of a major domain entity, with setup,
key subtopics, troubleshooting, and links to deeper references.
- Guide: explain one workflow from prerequisites to production readiness.
- API reference: define every object, endpoint, parameter, enum, response, error, and version rule.
- SDK or CLI reference: document install, auth, commands or methods, options, examples, and failure modes.
- Testing guide: show sandbox setup, fixtures, test data, simulated failures, and live-mode differences.
- Troubleshooting guide: map symptoms to checks, causes, and fixes.
Use this default topic page structure:
1. Title: name the major entity or surface.
2. Opening overview: start with a few unheaded sentences that explain what it
is, what it owns, and what it does not own. Do not add a `## Overview`
heading unless the page is itself an overview index.
3. Requirements: include only when setup needs specific accounts, versions,
permissions, plugins, operating systems, or credentials.
4. Quickstart: show the recommended setup path and smallest reliable verification.
5. Configuration: show the minimum configuration needed to use the surface,
common variants users must choose between, and where each option is set:
CLI, config file, environment variable, plugin manifest, dashboard, or API.
6. Major subtopics: organize the entity's major concepts, workflows, and
decisions by reader intent. Put each major subtopic under its own heading;
do not wrap them in a generic `## Subtopics` section.
7. Troubleshooting: diagnose common observable failures under an explicit
`## Troubleshooting` heading.
8. Related: link to guides, references, commands, concepts, and adjacent topics.
Topic pages may be longer than quickstarts, but they should not become exhaustive
references. Move field tables, API contracts, narrow internals, legacy details,
and rare debugging workflows to linked reference or troubleshooting pages when
they interrupt the end-to-end overview.
For configuration, keep task-critical options inline. Link to reference docs for
full option lists, defaults, enums, generated schemas, and advanced settings. Do
not duplicate exhaustive config reference tables in topic pages unless the topic
page is itself the reference.
Use this default guide structure:
1. Title: name the outcome, not the implementation detail.
2. Opening: state what the reader can accomplish in one or two sentences.
3. Before you begin: list accounts, keys, permissions, versions, tools, and assumptions.
4. Choose a path: compare options only when the reader must decide.
5. Steps: use verb-led headings with code, expected output, and checks.
6. Test: show the smallest reliable proof that the integration works.
7. Production readiness: cover security, idempotency, retries, limits, observability, migrations, and cleanup.
8. Troubleshooting: include common errors near the workflow that causes them.
9. See also: link to concepts, API references, SDK docs, and adjacent guides.
Keep navigation user-intent based. Do not force readers to understand internal product taxonomy before they can pick a task.
## Documentation Lifecycle
Write and maintain docs with the same discipline as code:
- Draft docs early enough to expose unclear product, API, CLI, or config design.
- Keep docs source near the code, config, command, plugin, or protocol it describes when the repo layout allows it.
- Avoid duplicate truth. If the same contract appears in multiple places, pick the canonical page and link to it.
- Update docs in the same change as behavior, config, API, CLI, plugin, or troubleshooting changes.
- Remove, redirect, or clearly mark stale docs. Incorrect docs are worse than missing docs.
- Involve the right reviewers: code owners for behavior, support or QA for user failure modes, and docs maintainers for structure and style.
- Preserve older-version guidance only when users need it; otherwise document the current supported behavior.
Do not use FAQs as a dumping ground for unrelated material. Promote recurring questions into task, concept, troubleshooting, or reference pages.
## Writing Style
Write in a direct, practical voice:
- Use present tense and active voice.
- Address the reader as "you" when giving instructions.
- Prefer short paragraphs and scannable lists.
- Use concrete nouns: "agent profile", "Gateway webhook", "plugin manifest", "session state".
- Put caveats exactly where they affect the step.
- Avoid marketing language, hype, generic benefits, and vague claims.
- Avoid long conceptual lead-ins before the first actionable step.
- Do not over-explain common developer concepts unless the product has a nonstandard contract.
- Define OpenClaw-specific jargon and abbreviations before first use.
- Use sentence case for headings unless an OpenClaw product name, command, or identifier requires capitalization.
- Use descriptive link text that names the destination or action; avoid vague links such as "this page" or "click here".
- Avoid culturally specific idioms, violent idioms, and jokes that make docs harder to translate or scan.
- Write accessible prose: do not rely on color, screenshots, or visual position as the only way to understand an instruction.
Use headings that describe actions or reference surfaces:
- Good: "Create an agent", "Configure a Slack channel", "Repair plugin installation"
- Avoid: "How it works", "Under the hood", "Important notes" unless the section truly needs that shape
Use precise modal language:
- Use "must" for required behavior.
- Use "can" for optional capability.
- Use "recommended" for the default path.
- Use "avoid" for known footguns.
- Explain "why" only when it changes a developer decision.
## Detail Level
Vary detail by page type:
- Overview pages: be brief; help readers choose.
- Quickstarts: be procedural; include only what is needed for first success.
- Guides: be complete for one workflow; include decisions, side effects, and failure handling.
- References: be exhaustive; document every field, default, enum, nullable value, constraint, response, and error.
- Troubleshooting: be explicit; assume the reader is blocked and needs observable checks.
Go deep where mistakes are expensive:
- Authentication and secret handling
- Money movement, billing, permissions, and irreversible actions
- Webhooks, retries, duplicate events, and ordering
- Idempotency and concurrency
- Sandbox versus production differences
- Versioning, migrations, and backwards compatibility
- Limits, rate limits, quotas, and timeouts
- Error codes and recovery paths
- Data retention, privacy, and compliance-sensitive behavior
Do not bury this detail in a distant reference if developers need it to complete the task safely.
## Examples
Make examples production-shaped, even when using test data:
- Prefer complete copy-pasteable commands or snippets.
- Use realistic variable names and values.
- Mark placeholders clearly with angle-bracket names such as `<API_KEY>` or `<CUSTOMER_ID>`.
- Show expected success output after commands.
- Show full request and response examples for API references when response shape matters.
- Keep one conceptual unit per code block.
- Use language-specific code fences.
- Avoid toy examples that hide required setup, auth, error handling, or cleanup.
When multiple languages are useful, keep the same scenario across languages so readers can compare equivalents.
## Discoverability and Navigation
Design every page so readers can find it, link to it, and decide quickly whether it answers their question:
- Use goal-oriented titles and headings that match likely search terms.
- Start each page with a concise answer to "what can I do here?"
- Include metadata or frontmatter required by the OpenClaw docs index.
- Add "Read when" hints for docs-list routing when creating or changing OpenClaw docs pages that participate in the docs index.
- Link from likely entry points, not only from nearby internal taxonomy pages.
- Keep section headings stable enough for links from issues, PRs, support replies, and chat answers.
- Order tutorials and examples from prerequisites to advanced tasks; order reference pages alphabetically or topically when that helps lookup.
- State scope up front when a page is intentionally partial.
## API Reference Pattern
For endpoints, methods, objects, or commands, include:
1. Short purpose statement.
2. Auth or permission requirements.
3. Request shape, including path, query, headers, and body fields.
4. Parameter table with type, requiredness, default, constraints, enum values, and side effects.
5. Return shape with object lifecycle states.
6. Error cases with codes, causes, and recovery guidance.
7. Runnable example request.
8. Representative successful response.
9. Related guides and adjacent reference pages.
For nested objects, document child fields near their parent. Do not make readers jump across pages to understand the shape of a single request.
## Verification
Verify docs changes like product changes:
- Run the relevant docs build, docs index, formatter, link checker, or generated-doc check when available.
- Run commands, snippets, and examples that the page tells users to run whenever feasible.
- Confirm screenshots, UI labels, CLI output, config keys, flags, defaults, errors, and file paths match current behavior.
- Prefer executable checks over prose-only review for API, CLI, config, generated reference, and troubleshooting docs.
- If a verification step is not feasible, say what was not verified and why.
## Completeness Checks
Before finalizing a page, verify:
- The first screen tells readers what they can accomplish.
- The recommended path is obvious.
- Prerequisites are explicit and testable.
- Examples can run with documented inputs.
- The page has a clear audience: user, operator, plugin author, contributor, or maintainer.
- Test-mode and production-mode behavior are separated.
- Security-sensitive values are never exposed in examples.
- Every warning is attached to the step where it matters.
- Edge cases are documented where they affect implementation.
- API fields include types, defaults, constraints, and errors.
- Troubleshooting starts from observable symptoms.
- Related links help the reader continue without duplicating the page.
- The page says where to get support, file issues, or contribute when that is relevant to the reader's next step.
- The page is complete for the scope it claims, or the limitation is stated up front.
## Review Pass
Edit in this order:
1. Remove repetition and generic explanation.
2. Move conceptual background below the first useful action unless it is required to choose correctly.
3. Replace passive or abstract wording with concrete instructions.
4. Tighten headings until the outline reads like a task map.
5. Add missing operational details for production safety.
6. Check examples for copy-paste accuracy.
7. Add links between guide, reference, SDK, testing, and troubleshooting surfaces.
8. Check discoverability, addressability, accessibility, and docs-as-code verification.

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---
name: technical-documentation
description: Build and review high-quality technical docs as well as agent instruction files in your repository.
license: MIT
metadata:
source: "https://github.com/vincentkoc/dotskills"
---
# Technical Documentation
## Purpose
Produce and review technical documentation that is clear, actionable, and maintainable for both humans and agents, including contributor-governance files and agent instruction files.
## When to use
- Creating or overhauling docs in an existing product/codebase (brownfield).
- Building evergreen docs meant to stay accurate and reusable over time.
- Reviewing doc diffs for structure, clarity, and operational correctness.
- Running full-repo documentation audits that must include both governance files and product docs surfaces (`docs/`, `README*`, `.md/.mdx/.mdc`, Fern/Sphinx/Mintlify-style sources).
- Updating or reviewing AGENTS.md and/or CONTRIBUTING.md to keep agent and contributor workflows aligned with current repo practices.
- Improving repository onboarding/docs that include contribution instructions, issue templates, PR flow, and review gates.
- Designing governance documentation strategy for repos with alias instruction files (for example `CLAUDE.md`, `AGENT.md`, `.cursorrules`, `.cursor/rules/*`, `.agent/`, `.agents/`, `.pi/`) where `AGENTS.md` is treated as canonical when present and aliases should be kept as compatibility surfaces.
- Diagnosing agent-file drift where teams had to prompt iteratively to surface missing files, broken commands, or policy conflicts.
- Applying repository-specific documentation overlays, including OpenClaw page-type, docs IA, preservation, and validation rules when present.
## Workflow
1. Classify task: `build` or `review`; context: `brownfield` or `evergreen`.
2. Inventory full documentation scope early (governance + product docs): AGENTS/CONTRIBUTING/aliases plus docs directories, framework sources, and root/module READMEs.
3. Detect multilingual scope (README/docs in multiple languages) and define required parity level.
4. Read `references/agent-and-contributing.md` for agent instruction and `CONTRIBUTING.md` workflow rules (inventory, canonical/alias mapping, dual-mode balance, deliverable standards, and precedence/conflict handling).
5. Read `references/principles.md` for the governing ruleset (Matt Palmer & OpenAI).
6. For OpenClaw docs work, read `references/openclaw.md` before the build/review playbook.
7. For build tasks, follow `references/build.md`.
8. For review tasks, follow `references/review.md` and proactively detect issues without waiting for repeated prompts.
9. For complex or high-risk tasks (build or review), it is acceptable to run longer, deeper, and more exhaustive investigations when needed for confidence.
10. When available, use sub-agents for bounded parallel discovery/review work, then merge outputs into one coherent final deliverable.
11. Use `references/tooling.md` when platform/tooling choices affect recommendations.
12. Run a proactive issue sweep for both governance and docs-content surfaces, and fix high-confidence defects in the same pass unless explicitly asked for report-only mode.
13. In brownfield mode, prioritize compatibility with current docs IA, tooling, and release state.
14. In evergreen mode, prioritize timeless wording, update strategy, and durable structure.
15. Return deliverables plus validation notes, parity status, and remaining gaps.
## Sub-agent orchestration guidance
Prefer sub-agents when the repo is large or the requested change set is broad; use them by default for repo-wide, multi-framework, or high-conflict work.
- `inventory-agent` -> `agents/inventory-agent.md` (`fast` / Claude `haiku`): file/config discovery, coverage map, and missing-path checks.
- `governance-agent` -> `agents/governance-agent.md` (`thinking` / Claude `sonnet`): AGENTS/CONTRIBUTING/alias precedence, conflicts, and policy drift.
- `docs-framework-agent` -> `agents/docs-framework-agent.md` (`thinking` / Claude `sonnet`): framework config, relative path base, and file-path vs URL-path mapping checks.
- `synthesis-agent` -> `agents/synthesis-agent.md` (`long` / Claude `opus`): merge sub-agent outputs into one prioritized fix plan and unified precedence model.
## Inputs
- Doc type (tutorial, how-to, reference, explanation) and audience.
- File scope or diff scope.
- Docs framework/tooling constraints (Fern, Mintlify, Sphinx, etc.).
- Build/review mode and brownfield/evergreen intent.
- Target agent and human compatibility intent.
- Docs framework surfaces in scope (for example Fern, Sphinx, Mintlify, Markdown/MDX/MDC/RST/RSC files).
- Desired investigation depth/time budget (quick pass vs exhaustive review).
- Execution mode (`single-agent` or `sub-agent-assisted` when available).
- Remediation mode (`apply-fixes` by default, or `report-only` when requested).
- Multilingual scope: source-of-truth language, target locales, and parity expectations.
- Repository-specific overlay constraints, if any.
## Outputs
- Updated draft or review findings with clear next actions.
- Validation notes (what was checked, what remains).
- Navigation/maintenance recommendations for long-term quality.
- Governance-doc alignment summary when AGENTS/CONTRIBUTING were touched.
- Agent instruction-surface map (primary file, alias files, Codex/Claude/Cursor handling plan).
- Documentation-surface coverage map (what was reviewed under `/docs`, README hierarchy, and framework-specific source trees).
- Autodetected issue list with applied fixes (or explicit report-only findings).
- Delegation notes when sub-agents were used (scope delegated and how findings were merged).
- Multilingual parity note (in-sync, partial with rationale, or intentionally divergent).
- Repository-specific overlay notes when one was used.

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---
name: docs-framework-agent
description: Thinking-focused docs framework checker for config-relative paths and route/file mapping consistency.
model: sonnet
tools:
- Read
- Glob
- Grep
permissionMode: default
maxTurns: 10
---
You are the docs-framework sub-agent for technical documentation.
Goals:
- validate framework config-driven docs behavior
- prevent path-mapping drift between source files and published routes
Tasks:
- detect and read framework config first (Fern/Sphinx/Mintlify/custom)
- resolve paths relative to the declaring file/config
- validate both maps:
- config -> file exists
- config/nav/routing -> URL path is valid and consistent
Return:
- config files reviewed
- path assumptions made
- mismatches (`missing file`, `stale route`, `wrong base path`)

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---
name: governance-agent
description: Thinking-focused governance reviewer for AGENTS/CONTRIBUTING/alias precedence, conflict detection, and policy drift analysis.
model: sonnet
tools:
- Read
- Glob
- Grep
permissionMode: default
maxTurns: 10
---
You are the governance sub-agent for technical documentation.
Goals:
- validate AGENTS/CONTRIBUTING/alias alignment and precedence
- identify policy drift and conflicting instructions
Tasks:
- determine canonical instruction source and alias compatibility mapping
- detect conflicts across nested scope files and tool-specific rule consumers
- validate command examples against stated governance expectations
Return:
- precedence model
- conflict list with severity
- recommended low-risk remediations

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---
name: inventory-agent
description: Fast repo-surface discovery for technical documentation audits. Use for coverage mapping and missing-path detection before deeper review.
model: haiku
tools:
- Read
- Glob
- Grep
- LS
permissionMode: default
maxTurns: 6
---
You are the inventory sub-agent for technical documentation.
Goals:
- enumerate governance and docs-content surfaces in scope
- detect missing files, broken references, and obvious command/path failures
Tasks:
- map `AGENTS.md`/`CONTRIBUTING.md`/aliases and docs surfaces (`docs/**`, README hierarchy, `.md/.mdx/.mdc/.rst/.rsc`)
- list framework config files discovered (Fern/Sphinx/Mintlify or equivalent)
- report hard failures only, with exact file paths
Return:
- coverage map
- missing/broken path list
- unresolved blockers

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interface:
display_name: "Technical Documentation"
short_description: "Build and review technical documentation for brownfield and evergreen systems."
icon_small: "./assets/icon.jpg"
icon_large: "./assets/icon.jpg"
brand_color: "#111827"
default_prompt: "Build or review technical documentation with a clear, maintainable, and production-ready workflow."
policy:
allow_implicit_invocation: true

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---
name: synthesis-agent
description: Long-context synthesis agent that merges sub-agent outputs into one prioritized and deduplicated documentation action plan.
model: opus
tools:
- Read
permissionMode: default
maxTurns: 12
---
You are the synthesis sub-agent for technical documentation.
Goal:
- merge sub-agent outputs into one coherent, non-duplicated action plan
Tasks:
- prioritize blockers first, then non-blocking improvements
- normalize to one precedence model for governance decisions
- remove duplicated recommendations and contradictory fixes
- keep final output concise and execution-ready
Return:
- prioritized fix plan
- validation summary (done vs pending)
- explicit remaining gaps/blockers

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# AGENT and CONTRIBUTING Principles
This reference consolidates the core rules for agent-policy and contributor-governance docs.
You must:
1. Discover repo-level and nested instruction files with:
`rg --files -g 'AGENTS.md' -g 'CONTRIBUTING.md' -g 'CLAUDE.md' -g 'AGENT.md' -g '.cursor/rules/*' -g '.cursorrules' -g '.agent/**' -g '.agents/**' -g '.pi/**' -g 'AGENTS.*.md'`
2. Read the root and nearest-scope `AGENTS.md`/`CONTRIBUTING.md` pair before editing.
3. If alias files exist, normalize to one canonical source (`AGENTS.md` preferred when present; otherwise nearest alias), plus compatibility pointers or explicit symlink notes.
4. Document conflicting instructions and precedence decisions.
## GitHub + AGENTS baseline
Source: https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/setting-guidelines-for-repository-contributors
Source: https://agents.md/
Source: https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/
Source: https://cobusgreyling.substack.com/p/what-is-agentsmd
Source: https://www.infoq.com/news/2025/08/agents-md/
Use these as default operating principles:
1. Keep `CONTRIBUTING.md` discoverable and actionable (`.github`, root, or `docs`).
2. Keep agent instructions concrete: real commands, real paths, clear boundaries.
3. Use explicit behavior boundaries for agents: `Always`, `Ask first`, `Never`.
4. Keep contributor and agent rules aligned with actual repository workflows.
5. Ensure clear guidance is provided to agents on if, when and how to raise issues and pull requests.
## Canonical and alias policy
Source: https://agents.md/
Source: https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/
1. Treat `AGENTS.md` as canonical when present.
2. If `AGENTS.md` is absent, treat the nearest alias file as canonical.
3. Keep compatibility surfaces explicit: `AGENTS.md`, `AGENT.md`, `.cursorrules`, `.cursor/rules/*`, `.agent/`, `.agents/`, `.pi/`.
4. If aliases are used, document how they map back to canonical policy (or symlink when supported).
5. When repos use `.agents/` as canonical rule storage, keep `.cursor` as a compatibility symlink to `.agents` for Cursor rule auto-loading.
6. Keep policy DRY: store one shared policy core and expose it via aliases/symlinks instead of duplicating rule text.
## Context-awareness by agent platform
Source: https://github.com/vercel-labs/agent-skills/blob/main/AGENTS.md
Source: https://github.com/openai/codex/blob/main/AGENTS.md
1. For Cursor and Claude-style glob consumers, keep rule files narrow and bounded.
2. Avoid over-referencing large path sets that inflate context for glob-based agents.
3. For Codex-style workflows, prefer explicit file references and deterministic commands.
4. Keep long runbooks outside top-level policy files; link to scoped docs.
5. Ensure all agents have a happy path regardless so ensuring everything works across Codex, Claude and other coding agents.
## Symlink and compatibility operations
1. Preferred layout for multi-agent compatibility:
- canonical rule directory: `.agents/`
- Cursor compatibility path: `.cursor -> .agents` symlink
- canonical policy doc: `AGENTS.md` pointing to `.agents` paths where relevant
2. Validate symlink state before finalizing changes:
- if `.agents/` exists and `.cursor` is missing, create `.cursor` symlink to `.agents`
- if `.cursor` is a symlink to another target, fix target or document why it must differ
- if `.cursor` is a real directory/file, treat as migration conflict and ask before replacement
3. Validate rule payload through the canonical directory:
- rules: `.agents/rules/*.mdc` with valid frontmatter (`description`, `globs`, `alwaysApply` as needed)
- commands: `.agents/commands/*.md` when command routing is used
- MCP config: `.agents/mcp.json` when MCP is in scope
4. Keep Codex behavior explicit:
- `AGENTS.md` is primary for Codex repository instructions
- `.cursor` compatibility is for Cursor auto-loading and does not replace canonical AGENTS policy
5. Record applied symlink fixes and unresolved compatibility gaps in validation notes.
## Dual-mode and deliverable standards
Source: https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/
Source: https://agents.md/
Source: https://github.com/openai/codex/blob/main/AGENTS.md
Source: https://github.com/vercel-labs/agent-skills/blob/main/AGENTS.md
1. Author one shared policy core (same commands, boundaries, and precedence) for all agents.
2. For Cursor/Claude-style agents, expose that core through glob-driven and bounded files (small `AGENTS.md`/rule surface).
3. For Codex, expose that same core through explicit file references with precise scope.
4. Where styles diverge, prefer the smallest common structure that satisfies both and avoid duplicating policy text.
5. Treat AGENTS/CONTRIBUTING as first-class deliverables when in scope.
6. Preserve required structure, constraints, and examples from existing files.
7. Align wording and commands with active repository instructions.
## Proactive issue discovery and remediation
Source: https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/
Source: https://github.com/openai/codex/blob/main/AGENTS.md
Source: https://github.com/vercel-labs/agent-skills/blob/main/AGENTS.md
1. Run a conflict matrix review across AGENTS/aliases/CONTRIBUTING and related command/rule docs before finalizing.
2. Treat the following as high-priority defects: missing referenced files, non-existent setup commands, command scope mismatches, and branch/commit policy conflicts.
3. Do not stop at caveat-only notes when a low-risk fix is clear; apply the fix in the same pass.
4. If a canonical entry file is missing (for example a directory `README.md` that docs depend on), create a minimal actionable file and update references.
5. Long-running investigations are acceptable when needed to uncover cross-file drift, especially in agent-instruction ecosystems.
## Discovery
1. Agents prefer simple terminal commands so having a well defined `make *` or `npm run *` is ideal
2. Agents can discover terminal commands through shell completion so providing shell completion helps
## CONTRIBUTING size and scope control
Source: https://contributing.md/how-to-build-contributing-md/
Source: https://blog.codacy.com/best-practices-to-manage-an-open-source-project
Source: https://mozillascience.github.io/working-open-workshop/contributing/
Source: https://github.com/openclaw/openclaw/blob/main/CONTRIBUTING.md
1. Keep root `CONTRIBUTING.md` focused on setup, issue flow, PR flow, testing, and review gates.
2. Use issue/PR template links instead of embedding every process detail inline.
3. When the file grows too large, split by domain and link from root.
4. Move any large content into docs if avalible (for example Mintlify/Fern/Sphinx workflows) to avoid large contributor guide.
5. Optimize for agent/machine readability as well as humans.
## Example repos to emulate
Source: https://github.com/openclaw/openclaw/blob/main/AGENTS.md
Source: https://github.com/openclaw/openclaw/blob/main/CONTRIBUTING.md
Source: https://github.com/openclaw/openclaw/blob/main/VISION.md
Source: https://github.com/openai/codex/blob/main/AGENTS.md
Source: https://github.com/processing/p5.js/blob/main/AGENTS.md
Source: https://github.com/vercel-labs/agent-skills/blob/main/AGENTS.md
Source: https://github.com/agentsmd/agents.md/blob/main/AGENTS.md
Source: https://github.com/rails/rails/blob/main/CONTRIBUTING.md
Source: https://github.com/kubernetes/kubernetes/blob/master/CONTRIBUTING.md
Source: https://github.com/atom/atom/blob/master/CONTRIBUTING.md
Source: https://github.com/github/docs/blob/main/CONTRIBUTING.md
Source: https://github.com/facebook/react/blob/main/CONTRIBUTING.md
1. OpenClaw: strong real-world alias policy and AGENTS/CONTRIBUTING/VISION cohesion.
2. OpenAI Codex: strict command discipline and explicit scope control.
3. p5.js: explicit AI-policy guardrails in agent instructions.
4. Vercel + agentsmd spec: compact, context-efficient AGENTS patterns.
5. Rails/Kubernetes/Atom/GitHub Docs/React: contributor guidance patterns at different project scales.
## Practical merge policy
When these rules conflict:
1. Preserve contributor and reader task success first.
2. Preserve instruction clarity and unambiguous boundaries second.
3. Preserve long-term maintainability and context-efficiency third.
4. Add extra agent optimization only if it does not reduce human clarity or there is explict need.
5. Use your judgement as the expert.

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# Build Docs Playbook
Read `principles.md` first, then follow this execution flow.
## 1. Detect and align agent instruction and governance instructions
- Use `references/agent-and-contributing.md` as the source of truth for inventory, canonical/alias mapping, and precedence/conflict handling.
- Apply the symlink compatibility policy when in scope (`.agents` canonical directory with `.cursor` compatibility symlink when required by tooling).
- Long-running and extensive build investigations are acceptable when needed to resolve ambiguous or conflicting documentation sources.
- When available, use sub-agents for bounded parallel inventory/cross-check tasks and merge results into one canonical decision set.
- Capture required constraints before writing:
- nested-agent rules, command/test requirements, PR workflow, and style checks.
- Use the same command and validation expectations in proposed snippets and examples.
## 2. Inventory product documentation surfaces (not governance only)
- For repo-wide builds, include docs content surfaces in addition to AGENTS/CONTRIBUTING.
- Inventory docs files and frameworks in scope (examples): `README*.md`, `docs/**`, `**/*.md`, `**/*.mdx`, `**/*.mdc`, `**/*.rst`, `**/*.rsc`, Fern/Mintlify config, Sphinx `conf.py`.
- Build a coverage map before drafting so governance and product docs are both represented.
- If scope is ambiguous, default to broader docs discovery first, then narrow intentionally.
## 3. Framework config and path mapping rules
- Detect framework/config first (for example Fern config, Sphinx `conf.py`, Mintlify config, or equivalent).
- Resolve every referenced path relative to the file/config that declares it, not assumed repo root.
- Treat filesystem paths and published URL routes as separate mappings; do not infer one from the other without config evidence.
- Validate both layers:
- config -> file exists on disk
- config/nav/routing -> URL path is consistent and reachable
- Record path-mapping assumptions and mismatches in handoff (`missing file`, `stale route`, `wrong base path`).
## 4. Define intent and success
- Audience, prerequisites, and job-to-be-done.
- Expected reader outcome immediately after completion.
- Doc type: tutorial, how-to, reference, explanation.
- Success criteria: what must be true after publish.
## 5. Build structure before prose
- Follow the funnel: what/why, quickstart, next steps.
- Keep headings informative and scannable.
- Open each section with the takeaway sentence.
- Add decision points with concrete branch guidance.
- For OpenClaw docs work, choose a page type from `references/openclaw.md` before drafting.
- Keep task-critical OpenClaw configuration inline; link exhaustive defaults, enums, schemas, generated references, and rare debugging workflows.
## 6. Build AGENTS.md and CONTRIBUTING.md intentionally
- Keep AGENTS.md structure consistent with `agents.md` ecosystem patterns:
- include YAML frontmatter when present in repo style (`name`, `description`).
- state persona scope and explicit instruction boundaries: `Always`, `Ask first`, `Never`.
- include concrete commands and representative code examples.
- For CONTRIBUTING.md, prioritize issue triage flow, PR expectations, setup/test commands, and review gates.
- Add `Code of Conduct`, `Testing`, `Local checks`, and `PR expectations` sections when missing but required by the repo.
- If CONTRIBUTING.md is becoming too large, split by scope into linked docs (for example, framework/tool-specific setup and release workflows) and keep the root file as a concise entry point.
- Keep cross-file consistency: links from CONTRIBUTING.md to AGENTS.md (and vice versa) should be accurate and non-circular.
- If multiple AGENTS.md files exist, document the directory-level scope and avoid conflicting advice.
- If a required canonical entry file is missing (for example referenced `README.md` under a major directory), create the file in the same pass instead of adding a caveat-only note.
- For new entry files, keep them minimal and actionable: purpose, prerequisites, concrete run commands, and pointers to deeper docs.
## 7. Keep agent context tight
- Author once, expose twice:
- keep one shared policy core and avoid duplicating guidance in separate agent-specific files.
- publish that core through bounded glob-friendly files for Cursor/Claude plus explicit path references for Codex.
- For Cursor and Claude-style agents, avoid broad references. Use minimal globbing and narrow rule files that each serve one concern (for example, repo-wide setup, test rules, security checks).
- Keep AGENTS and alias files short-to-medium; move detailed runbooks to linked docs.
- For Codex, prefer explicit file references and concrete paths for exact reuse.
- Avoid adding unrelated historical or process details to avoid token/context drift during future tool reads.
## 8. Brownfield build mode
- Match existing terminology, navigation, and component patterns.
- Preserve existing IA unless there is a documented migration plan.
- For rewrites, include a migration note from old to new paths.
- Prefer smallest safe change set that improves utility.
## 9. Evergreen build mode
- Prefer stable concepts over release-tied narrative.
- Isolate volatile details under clearly marked version sections.
- Include maintenance signals: owners, refresh triggers, stale criteria.
- Include lifecycle notes: deprecation and replacement paths.
## 10. Writing constraints
- Use precise language and short, imperative instructions.
- Keep code examples copy-ready and self-contained.
- Include common failure modes and safe defaults.
- Avoid placeholder guidance that cannot be executed.
## 11. Agent and automation readiness
- Keep key facts in text (not image-only).
- Prefer structured lists/tables when choices matter.
- Add links and anchors that allow deterministic navigation.
- Document what can be checked automatically in CI.
## 12. Build validation
- Validate commands and snippets where possible.
- Verify links and references in changed sections.
- Run a reference existence sweep for every path/command you introduced.
- Verify docs-framework consistency when in scope (for example Sphinx/Fern config and referenced doc paths).
- For OpenClaw docs work, apply the validation checklist in `references/openclaw.md`.
## 13. Multilingual parity mode (when applicable)
- Pick one source-of-truth language for technical accuracy and release timing.
- Define parity target: full parity, staged parity, or intentional divergence per section.
- Keep structure aligned across locales (headings, anchors, section order) when possible.
- Preserve command/code correctness first; localize explanatory text second.
- If parity is not feasible, add a visible note with missing scope and expected sync window.
- Run a locale parity check for changed sections (added/removed steps, warnings, prerequisites).
- Record unresolved checks explicitly in handoff.

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# OpenClaw Documentation Overlay
Use this reference only for OpenClaw docs work. It layers OpenClaw-specific page
types, navigation, preservation, and validation rules on top of the general
technical-documentation skill.
## Reader Model
- Lead with the task the reader is trying to complete.
- Give one recommended path before alternatives.
- Keep main docs focused on the common path; move dense contracts and rare
debugging detail to linked reference or troubleshooting pages.
- Explain production risks exactly where the reader can make the mistake.
- Link concepts, guides, references, CLI pages, SDK docs, testing, and
troubleshooting so readers can continue without rereading.
## Page Types
Choose the page type before writing or reviewing:
- Overview: route readers to the right product area, integration path, or guide.
- Quickstart: get a new user to a working result with the fewest safe steps.
- Topic page: explain a major OpenClaw entity or surface end to end.
- Guide: walk through one workflow from prerequisites to production readiness.
- API/SDK/CLI reference: define every object, method, command, option, response,
error, enum, default, and version rule in scope.
- Testing guide: show sandbox setup, fixtures, simulated failures, and live-mode
differences.
- Troubleshooting guide: map observable symptoms to checks, causes, and fixes.
- Governance file: keep agent/contributor policy concrete, scoped, and aligned
with current OpenClaw repo behavior.
## Topic Pages
Use this shape for major-entity pages:
1. Title naming the entity or surface.
2. Unheaded opening that says what it is, what it owns, and what it does not own.
3. Requirements, only when setup needs accounts, versions, permissions, plugins,
operating systems, or credentials.
4. Quickstart with the recommended path and smallest reliable verification.
5. Configuration with task-critical options inline and exhaustive details linked
to reference docs.
6. Major subtopics organized by reader intent, not under a generic "Subtopics"
heading.
7. Troubleshooting with observable failures and concrete checks.
8. Related links to guides, references, commands, concepts, and adjacent topics.
## Guides
Use this shape for workflow pages:
1. Title naming the outcome, not the implementation detail.
2. Opening that states what the reader can accomplish.
3. Before you begin: accounts, keys, permissions, versions, tools, and
assumptions.
4. Choose a path, only when the reader must decide.
5. Steps with verb-led headings, commands, expected output, and checks.
6. Test with the smallest reliable proof that the workflow works.
7. Production readiness: security, retries, limits, observability, migrations,
and cleanup.
8. Troubleshooting near the workflow that causes the failures.
9. See also links to concepts, references, SDK docs, and adjacent guides.
## Docs IA And Navigation
- Read `docs/docs.json` before navigation changes.
- Keep topic pages and common workflows on the main reader path.
- Put exhaustive contracts, generated references, maintainer-only detail, and
support material under `Reference` or another clearly scoped support page.
- Keep generated `plugins/reference/*` children and redirect-only pages out of
visible navigation unless explicitly required.
- For moved pages, include a keep/drop/move/destination matrix in the handoff.
- Add "Read when" hints for docs-list routing when creating or changing pages
that participate in the docs index.
## Source-Backed Content
- CLI docs must match current flags, output, errors, and examples.
- API/SDK docs must include fields, defaults, enum values, constraints, nullable
behavior, lifecycle states, errors, and recovery guidance.
- Config docs must align exported types, schema/help output, metadata, baselines,
and current docs.
- Dependency-backed behavior must be verified from upstream docs, source, or
types before documenting defaults, timing, errors, or API behavior.
- Separate current behavior, shipped behavior, planned behavior, and maintainer
intent.
## Examples
- Prefer complete copy-pasteable commands and snippets.
- Use realistic variable names and values.
- Mark placeholders with angle-bracket names such as `<API_KEY>`.
- Show expected success output when it helps verification.
- Keep one conceptual unit per code block and use language-specific fences.
- Avoid examples that hide setup, auth, error handling, or cleanup.
- Never expose real secrets, live config, phone numbers, private videos, or
credentials.
## Preservation Reviews
For rewrites or splits:
- Identify source units before rewriting: headings, paragraphs, tables, examples,
CLI/API contracts, warnings, and troubleshooting facts.
- Map each retained unit to a destination page or section.
- Do not treat a broad "covered" row as proof for dense source material; use
line- or claim-level evidence when the source unit is dense.
- For dropped content, state whether it is obsolete, duplicated elsewhere,
unsupported, or moved to a reference/support page.
- When a docs-audit artifact is used, verify it is mapped audit data with
non-empty `mappings[]`, not only inventory or reindexed JSON.
## Validation
Choose the narrowest proof that covers the touched surface:
- `pnpm docs:list`
- `pnpm docs:check-mdx`
- `pnpm docs:check-links`
- `pnpm docs:check-i18n-glossary`
- `pnpm format:docs:check` or `pnpm lint:docs`
- `git diff --check`
- generated-doc or inventory checks when generated references, plugin catalogs,
labeler, or docs scripts changed
- behavior tests or command probes when docs claim runtime behavior
If proof is blocked, say exactly which command was not run and why.

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# Documentation Principles
This reference consolidates the core rules used by this skill.
## Matt Palmer: 8 rules for better docs
Source: https://mattpalmer.io/posts/2025/10/8-rules-for-better-docs/
Use these as default operating principles:
1. Write for humans, optimize for agents.
2. Start with a funnel: what/why, quickstart, next steps.
3. Use Diataxis to scaffold content.
4. Write with AI, but structure for agents.
5. Offload routine docs operations to background agents.
6. Automate quality with CI.
7. Automate scaffolding and repetitive workflow tasks.
8. Make contribution easy and visible.
## OpenAI cookbook: what makes documentation good
Source: https://cookbook.openai.com/articles/what_makes_documentation_good
Key quality constraints:
- Prefer specific and accurate terminology over niche jargon.
- Keep examples self-contained and minimize dependencies.
- Prioritize high-value topics over edge-case depth.
- Do not teach unsafe patterns (for example, exposed secrets).
- Open with context that helps readers orient quickly.
- Apply empathy and override rigid rules when it clearly improves outcomes.
## Practical merge policy
When these rules conflict:
1. Preserve reader task success first.
2. Preserve structural clarity second.
3. Preserve long-term maintainability third.
4. Add agent optimization only if it does not reduce human clarity.
For agent-instructions and contributor-governance specifics (AGENTS/aliases/CONTRIBUTING), use `references/agent-and-contributing.md` as the detailed additional source of truth.
When the target repo or request is OpenClaw-specific, layer `references/openclaw.md` on top of these general rules. Otherwise ignore that repo-specific overlay.
## Execution policy for this skill
- Long-running and extensive investigations are allowed for both build and review work when needed to resolve ambiguity or cross-file drift.
- Use sub-agents when available for bounded parallel discovery, verification, or cross-source comparison.
- Keep one merged outcome: sub-agent outputs must be normalized into a single consistent recommendation/fix set.
## Multilingual parity rule
When docs exist in multiple languages, target cross-locale parity for task-critical content (steps, warnings, prerequisites, and limits). If full parity is not possible, publish explicit parity status and sync intent.

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# Review Docs Playbook
Read `principles.md` first, then apply this checklist.
## 1. Scope and classification
- Identify doc type and target audience.
- Confirm brownfield vs evergreen intent.
- Confirm expected outcome for the reader.
- For full-repo reviews, explicitly include both governance surfaces and product-doc surfaces (`docs/`, README trees, `.md/.mdx/.mdc`, `.rst/.rsc`, framework docs configs).
- For OpenClaw docs reviews, apply `references/openclaw.md` for page type, docs IA, preservation, examples, and validation checks.
## 2. Investigation behavior
- Proactively find issues and risks without waiting for repeated prompts.
- If there are signals of deeper problems, continue investigation beyond the first pass.
- Long-running and extensive investigations are acceptable when needed for confidence and correctness.
- When available, use sub-agents for bounded parallel discovery (for example file-inventory, command validation, or cross-doc consistency checks), then merge to one final issue set.
- When no issues are found, state that explicitly and call out residual risks or validation gaps.
- Default to `apply-fixes` for high-confidence documentation defects unless the user explicitly requests `report-only`.
- Do not stop at AGENTS/CONTRIBUTING checks when the task is documentation-wide; continue into docs-content and docs-framework surfaces.
## 3. Governance surface review
- Use `references/agent-and-contributing.md` as the source of truth for inventory, canonical/alias mapping, and precedence/conflict handling.
For AGENTS.md:
- confirm persona intent, scope, and command/tool boundaries are explicit.
- check frontmatter style matches repo conventions when present.
- ensure `Always`, `Ask first`, and `Never` boundaries are present when expected.
- require concrete command examples and repo-specific paths to avoid ambiguity.
For CONTRIBUTING.md:
- verify issue/PR workflow is complete and actionable.
- ensure local setup, lint/test commands, and review criteria are accurate.
- ensure governance does not conflict with nested AGENTS instructions.
- flag oversized files that should be split into linked section docs (for example tool-specific setup and release docs).
For agent-platform awareness:
- confirm references are minimal and scoped for Cursor/Claude glob behavior.
- confirm Codex-facing guidance uses explicit file references.
- confirm both surfaces represent the same shared policy core (commands, boundaries, and precedence), not divergent guidance.
- audit `.agents`/`.cursor` compatibility behavior:
- verify canonical rule directory and symlink state match repo policy
- verify symlink target integrity and platform/tooling expectations
- verify AGENTS policy references remain canonical for Codex even when `.cursor` compatibility exists
- check for context bloat from duplicated policy statements across agent and contributor files.
- check for conflicting rules, skills and agent instructions
- check for conflicting information in agent instructions vs codebase
- check for broken or missing referenced files (for example README/index files named as canonical entry points).
- check for setup/command drift (for example non-existent install commands, root-level commands that should be module-scoped).
## 4. Product documentation surface review
- Verify docs IA coverage across root/module `README*` files and `docs/**` trees.
- Review framework-native docs sources in scope (for example Fern, Mintlify, Sphinx, MkDocs) and ensure guidance matches actual source-of-truth files.
- Check `.md/.mdx/.mdc/.rst/.rsc` for stale commands, missing prerequisites, and broken cross-links.
- Confirm referenced doc paths and anchors exist.
- Flag docs that should be split/merged to improve discoverability and maintenance.
- For OpenClaw docs, check `docs/docs.json`, docs-list routing hints, main path versus `Reference` placement, and generated-reference visibility.
- For OpenClaw rewrites or page splits, require source-backed keep/drop/move/destination coverage for important claims, warnings, examples, commands, fields, and troubleshooting facts.
## 5. Framework config and path mapping checks
- Detect and read framework config first (for example Fern config, Sphinx `conf.py`, Mintlify config, or equivalent).
- Resolve path references relative to the declaring file/config.
- Treat filesystem paths and published URL routes as separate maps; verify both.
- Flag path-map drift explicitly (`missing file`, `stale route`, `wrong base path`).
## 6. Structural review
- Funnel check: what/why, quickstart, next steps.
- Validate heading flow and navigation discoverability.
- Flag critical content trapped in images or buried sections.
- Check Diataxis alignment and split mixed-purpose sections.
- For OpenClaw docs, confirm the content matches an explicit page type from `references/openclaw.md`.
## 7. Writing quality review
- Check for concise, scannable paragraphs.
- Remove ambiguous pronouns and undefined terms.
- Verify examples are executable and scoped correctly.
- Verify tone is directive, technical, and non-hand-wavy.
## 8. Brownfield review mode
- Verify compatibility with existing docs IA and conventions.
- Verify anchors, redirects, and cross-doc links remain valid.
- Flag regressions in onboarding and task completion paths.
- Ensure changed terminology is intentionally propagated.
## 9. Evergreen review mode
- Flag date-stamped or brittle wording without version scope.
- Check ownership and refresh signals are present.
- Ensure recommendations remain valid after routine product evolution.
- Flag missing deprecation/migration guidance.
## 10. Tooling and platform review
Read `tooling.md` if platform fit is uncertain.
- Check whether content uses platform primitives effectively.
- Flag structure that fights the chosen docs platform.
- Recommend targeted platform-aware improvements.
## 11. Multilingual parity review (when applicable)
- Confirm declared source-of-truth language and expected parity policy.
- Compare changed sections across locales for step/order/warning drift.
- Flag missing updates to prerequisites, version notes, limits, and safety guidance.
- Allow intentional divergence only when rationale is explicit and user-impact is low.
- Require a reader-visible status note when locale parity is partial.
## 12. Output format
1. Blocking issues (file + required fix)
2. Non-blocking improvements
3. Validation notes (done vs pending)

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# Documentation Tooling Guide
Source: https://www.mintlify.com/blog/top-7-api-documentation-tools-of-2025
Use this file when deciding build/review expectations for doc platforms.
## Tool-selection checkpoints
- Existing stack lock-in: do not force migration for minor gains.
- API workflow depth: generated references, OpenAPI support, testability.
- Collaboration model: docs-as-code, review workflow, versioning.
- Runtime quality: search, navigation, and copy-ready code snippets.
- AI readiness: structured content, stable URLs, machine-friendly layout yet human readable.
- Human readiness: reading complexity, reading UX, navigation depth, minimize jargon.
## Apply in brownfield mode
- Prioritize compatibility with the current platform.
- Use available components and style conventions before introducing new patterns.
- Propose migration only when current constraints block critical outcomes.
## Apply in evergreen mode
- Favor platforms and templates that make routine updates low-friction.
- Standardize section templates to reduce drift.
- Capture ownership, update cadence, and stale-content detection rules.
## Review implications
- Check whether content uses platform primitives correctly (tabs, callouts, endpoint blocks).
- Flag docs that are technically correct but hard to scan in the chosen platform.
- Recommend platform-specific improvements only when they reduce cognitive load.