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refactor: remove skill workshop plugin package
This commit is contained in:
Shakker
@@ -1,90 +0,0 @@
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# Skill Workshop animated GIF autocreate
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```yaml qa-scenario
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id: skill-workshop-animated-gif-autocreate
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title: Skill Workshop animated GIF autocreate
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surface: plugins
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coverage:
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primary:
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- plugins.skill-workshop
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secondary:
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- plugins.skills
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- skills.hot-refresh
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objective: Verify a non-trivial animated GIF correction is captured as a workspace skill and becomes visible without restart.
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plugins:
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- skill-workshop
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gatewayConfigPatch:
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plugins:
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entries:
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skill-workshop:
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enabled: true
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config:
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autoCapture: true
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approvalPolicy: auto
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reviewMode: heuristic
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successCriteria:
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- The model receives a realistic animated GIF task plus a durable correction.
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- Skill Workshop writes an animated GIF workflow skill automatically.
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- The new skill appears in skills.status without restarting the gateway.
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docsRefs:
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- docs/plugins/skill-workshop.md
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- docs/tools/skills.md
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codeRefs:
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- extensions/skill-workshop/index.ts
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- extensions/skill-workshop/src/signals.ts
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- extensions/skill-workshop/src/skills.ts
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execution:
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kind: flow
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summary: Ask for an animated GIF workflow correction and verify Skill Workshop creates a hot workspace skill.
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config:
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prompt: |-
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Find two sources for small animated loading GIFs and summarize what should be checked before using one.
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Next time when asked for animated GIFs, verify the URL really resolves to an animated GIF, record attribution, and avoid hotlinking when a local asset is needed.
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```
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```yaml qa-flow
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steps:
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- name: creates an animated GIF skill from a durable correction
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actions:
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- call: reset
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- call: runAgentPrompt
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args:
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- ref: env
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- sessionKey: agent:qa:skill-workshop-gif
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message:
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expr: config.prompt
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timeoutMs:
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expr: liveTurnTimeoutMs(env, 45000)
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- call: waitForCondition
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saveAs: skillText
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args:
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- lambda:
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async: true
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expr: |-
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await (async () => {
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const root = path.join(env.gateway.workspaceDir, 'skills');
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const names = await fs.readdir(root).catch(() => []);
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for (const name of names.toSorted()) {
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const text = await fs.readFile(path.join(root, name, 'SKILL.md'), 'utf8').catch(() => '');
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if (text.includes('record attribution') && text.toLowerCase().includes('animated')) {
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return text;
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}
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}
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return undefined;
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})()
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- 15000
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- 200
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- call: waitForCondition
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args:
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- lambda:
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async: true
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expr: |-
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(await readSkillStatus(env)).some((skill) => {
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const haystack = `${skill.name ?? ''} ${skill.description ?? ''}`.toLowerCase();
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return skill.eligible && haystack.includes('gif');
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}) ? true : undefined
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- 15000
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- 200
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detailsExpr: skillText
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```
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@@ -1,129 +0,0 @@
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# Skill Workshop pending approval
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```yaml qa-scenario
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id: skill-workshop-pending-approval
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title: Skill Workshop pending approval
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surface: plugins
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coverage:
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primary:
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- plugins.skill-workshop
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secondary:
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- plugins.plugin-tools
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- plugins.skills
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objective: Verify an explicit pending skill suggestion queues for review, then approval writes a workspace skill.
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plugins:
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- skill-workshop
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gatewayConfigPatch:
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tools:
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alsoAllow:
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- skill_workshop
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plugins:
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entries:
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skill-workshop:
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enabled: true
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config:
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autoCapture: true
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approvalPolicy: auto
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reviewMode: heuristic
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successCriteria:
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- A realistic screenshot asset workflow queues a pending skill suggestion.
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- The skill_workshop tool reports the pending item.
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- Applying the item writes the workspace skill and refreshes skill status.
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docsRefs:
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- docs/plugins/skill-workshop.md
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- docs/tools/skills.md
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codeRefs:
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- extensions/skill-workshop/src/tool.ts
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- extensions/skill-workshop/src/store.ts
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- extensions/qa-lab/src/suite-runtime-agent-tools.ts
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execution:
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kind: flow
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summary: Queue a pending screenshot workflow suggestion and approve it through the plugin tool.
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config:
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skillName: screenshot-asset-workflow
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proposalTitle: Verify screenshot asset replacements before final reply
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proposalReason: User established a repeatable screenshot asset update workflow.
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proposalDescription: Capture the repeatable checklist for app screenshot asset replacements.
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proposalBody: |-
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When updating an app screenshot asset, first identify the newest PNG in Desktop or Downloads if the user has not specified a file.
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Verify the image dimensions against the target asset before replacement.
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Preserve the expected asset size and aspect constraints, optimize the PNG after replacement, and run the relevant validation gate before reporting completion.
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```
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```yaml qa-flow
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steps:
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- name: queues and applies a pending skill update
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actions:
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- call: reset
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- call: callPluginToolsMcp
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saveAs: suggestResult
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args:
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- env:
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ref: env
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toolName: skill_workshop
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args:
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action: suggest
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apply: false
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skillName:
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expr: config.skillName
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title:
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expr: config.proposalTitle
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reason:
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expr: config.proposalReason
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description:
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expr: config.proposalDescription
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body:
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expr: config.proposalBody
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- call: waitForCondition
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saveAs: pendingResult
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args:
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- lambda:
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async: true
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expr: |-
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(async () => {
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const result = await callPluginToolsMcp({
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env,
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toolName: 'skill_workshop',
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args: { action: 'list_pending' },
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});
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const text = JSON.stringify(result);
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return text.includes(config.skillName) ? result : undefined;
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})()
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- 15000
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- 500
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- set: pendingText
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value:
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expr: "JSON.stringify({ suggestResult, pendingResult })"
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- set: pendingId
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value:
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expr: "JSON.parse(pendingResult.content[0].text)[0].id"
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- call: callPluginToolsMcp
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saveAs: applyResult
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args:
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- env:
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ref: env
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toolName: skill_workshop
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args:
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action: apply
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id:
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ref: pendingId
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- set: skillPath
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value:
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expr: "path.join(env.gateway.workspaceDir, 'skills', config.skillName, 'SKILL.md')"
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- call: waitForCondition
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args:
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- lambda:
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async: true
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expr: "findSkill(await readSkillStatus(env), config.skillName)?.eligible ? true : undefined"
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- 15000
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- 200
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- call: fs.readFile
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saveAs: skillText
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args:
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- ref: skillPath
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- utf8
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- assert:
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expr: "skillText.includes('optimize the PNG') && JSON.stringify(applyResult).includes('applied')"
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message: expected approved skill text and applied result
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detailsExpr: "`PENDING:${pendingText}\\n${skillText}`"
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```
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@@ -1,92 +0,0 @@
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# Skill Workshop reviewer autonomous capture
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```yaml qa-scenario
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id: skill-workshop-reviewer-autonomous
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title: Skill Workshop reviewer autonomous capture
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surface: plugins
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coverage:
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primary:
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- plugins.skill-workshop
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secondary:
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- plugins.skills
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- plugins.plugin-tools
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objective: Verify threshold review can turn a non-trivial workflow into a workspace skill without an explicit correction phrase.
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plugins:
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- skill-workshop
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gatewayConfigPatch:
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plugins:
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entries:
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skill-workshop:
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enabled: true
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config:
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autoCapture: true
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approvalPolicy: auto
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reviewMode: llm
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reviewInterval: 1
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reviewMinToolCalls: 1
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successCriteria:
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- The task asks for a reusable animated-media QA workflow without saying "next time" or "remember".
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- The reviewer creates or updates a workspace skill automatically.
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- The skill becomes visible through skills.status without restarting the gateway.
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docsRefs:
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- docs/plugins/skill-workshop.md
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- docs/tools/skills.md
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codeRefs:
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- extensions/skill-workshop/index.ts
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- extensions/skill-workshop/src/reviewer.ts
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- extensions/skill-workshop/src/workshop.ts
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execution:
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kind: flow
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summary: Trigger the LLM reviewer after one successful turn and verify it persists a reusable animated-media workflow.
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config:
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prompt: |-
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Build a compact QA checklist for accepting an externally sourced animated GIF asset in a product UI.
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Include checks for true animation, dimensions, attribution, local copy policy, and a final verification step. Treat this as a workflow we will reuse on similar media tasks.
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```
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```yaml qa-flow
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steps:
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- name: reviewer creates a reusable skill
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actions:
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- call: reset
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- call: runAgentPrompt
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args:
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- ref: env
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- sessionKey: agent:qa:skill-workshop-reviewer
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message:
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expr: config.prompt
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timeoutMs:
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expr: liveTurnTimeoutMs(env, 90000)
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- call: waitForCondition
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saveAs: skillText
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args:
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- lambda:
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async: true
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expr: |-
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(async () => {
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const root = path.join(env.gateway.workspaceDir, 'skills');
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const names = await fs.readdir(root).catch(() => []);
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for (const name of names.toSorted()) {
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const text = await fs.readFile(path.join(root, name, 'SKILL.md'), 'utf8').catch(() => '');
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if (text.includes('attribution') && text.toLowerCase().includes('animated')) {
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return text;
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}
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}
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return undefined;
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})()
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- 30000
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- 500
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- call: waitForCondition
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args:
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- lambda:
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async: true
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expr: |-
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(await readSkillStatus(env)).some((skill) => {
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const haystack = `${skill.name ?? ''} ${skill.description ?? ''}`.toLowerCase();
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return skill.eligible && (haystack.includes('gif') || haystack.includes('animated'));
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}) ? true : undefined
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- 15000
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- 200
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detailsExpr: skillText
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```
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