[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M719SWYD9RGS97HJ69PXWY62":3,"skill-same:01M719SWYD9RGS97HJ69PXWY62":2043},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":15,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":28,"linkOnly":29,"markdownContent":30,"markdownBody":31,"frontMatter":32,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":36,"repositoryHtmlUrl":37,"repositoryHomepageUrl":38,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":40,"install":41,"resources":54},"01M719SWYD9RGS97HJ69PXWY62","add-new-agent",null,"خطوات تفصيليّة لإضافة وكيل ذكاء اصطناعي جديد إلى منصّة Kalmeron من الفكرة إلى الإنتاج","dahaliztupe-sketch\u002FKalmeron-Two","dahaliztupe-sketch","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F271085317?v=4","01M719765Q83P08JCQ1SWNQR0N","01M719766HQBGF44W90MPJKTD2",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27],"new agent","add","new","add new agent","2026-11-10 10:12:30",false,"---\nname: add-new-agent\ndescription: خطوات تفصيليّة لإضافة وكيل ذكاء اصطناعي جديد إلى منصّة Kalmeron من الفكرة إلى الإنتاج\n---\n\n# Skill: إضافة وكيل جديد إلى Kalmeron\n\n> **متى تستخدم هذه المهارة؟** حين تطلب إضافة قسم\u002Fدور جديد (مثلاً «وكيل المخزون»، «وكيل الشحن»، «وكيل الأمان السيبراني»).\n\n> **متى لا تستخدمها؟** لتعديل سلوك وكيل قائم — هذا تغيير في `prompt.ts` فقط، ليس وكيلاً جديداً.\n\n---\n\n## المرحلة 1 — التخطيط (قبل أيّ كود)\n\n### 1.1 صنّف الوكيل\nأجب على هذه الأسئلة وضعها في System Card:\n- **الاسم:** بالعربية + الإنجليزية (kebab-case للملفّ).\n- **القسم:** Strategy \u002F Finance \u002F Legal \u002F Marketing \u002F Sales \u002F HR \u002F Operations \u002F Product \u002F Investor \u002F Customer \u002F Vertical.\n- **المهمّة الأساسيّة:** جملة واحدة.\n- **الـ EU AI Act risk class:** Minimal \u002F Limited \u002F High \u002F Unacceptable.\n  - **High** = تعطي توصيات قانونيّة\u002Fطبّيّة\u002Fتوظيف. يحتاج DPIA في `docs\u002Fdpia\u002F`.\n  - **Limited** = استشاري بدون أثر مباشر.\n  - **Minimal** = ترفيهي\u002Fمعلوماتي.\n\n### 1.2 حدّد الأدوات (Tools)\nارجع إلى `src\u002Fai\u002Fsafety\u002Fplan-guard.ts` لقائمة الأدوات المتاحة. لكل أداة حدّد:\n- اسمها (مثلاً `rag.search`, `web.fetch`, `firestore.create`).\n- مستوى المخاطر (`low`\u002F`medium`\u002F`high`\u002F`critical`).\n- هل تحتاج موافقة بشريّة؟\n\n### 1.3 حدّد البيانات\n- ما البيانات اللي يقرأها؟ (RAG corpus، collections في Firestore، web).\n- ما البيانات اللي يكتبها؟\n- مدّة الاحتفاظ.\n- هل تحوي PII؟\n\n---\n\n## المرحلة 2 — السكافولد\n\n### 2.1 أنشئ مجلّد الوكيل\n```bash\nAGENT_KEBAB=\"my-new-agent\"\nAGENT_PASCAL=\"MyNewAgent\"\n\nmkdir -p src\u002Fai\u002Fagents\u002F$AGENT_KEBAB\ntouch src\u002Fai\u002Fagents\u002F$AGENT_KEBAB\u002F{prompt.ts,agent.ts,tools.ts}\n```\n\n### 2.2 املأ `prompt.ts` (طبّق هيكل SCOPE)\nانظر `docs\u002FPROMPT_QUALITY.md` لتفاصيل SCOPE.\n\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002Fmy-new-agent\u002Fprompt.ts\nexport const MY_NEW_AGENT_SYSTEM_PROMPT = `أنت [الدور] في منصّة كلميرون.\n\n[S — Situation]\nالسياق: تخدم مؤسّسي شركات ناشئة عربية في مرحلة Pre-seed → Seed.\nالجمهور: مستخدم واحد، عربي، يكتب بالعامّيّة المصريّة.\n\n[C — Constraints]\n- تردّ بالعربيّة الفصحى المبسّطة دائماً.\n- تستخدم أرقاماً واقعيّة من السوق المصري.\n- لا تعطي وعوداً بـ \"النجاح المضمون\".\n- إذا كان السؤال خارج تخصّصك، حوّله للوكيل المناسب.\n\n[O — Outcome]\nالمخرج المثالي: [اوصف الشكل النهائي للرد — قائمة، تقرير، JSON، إلخ].\n\n[P — Patterns]\nاستخدم هذه القوالب:\n- لو السؤال \"كيف...\": ابدأ بـ \"في 3 خطوات: ...\"\n- لو السؤال \"ما...\": ابدأ بتعريف ثمّ مثال.\n\n[E — Exceptions]\n- لو السؤال يحوي بيانات شخصيّة لشخص ثالث: ارفض بأدب.\n- لو السؤال يطلب تنفيذ شيء يستلزم موافقة بشريّة: قل ذلك صراحةً.\n\nأنهِ كلّ رد بـ:\n\"هذه إجابة مولّدة آلياً وقد تحتوي على أخطاء — تحقّق من الأرقام مع متخصّص قبل اتّخاذ قرار.\"`;\n```\n\n### 2.3 املأ `agent.ts`\nانسخ من `src\u002Fai\u002Fagents\u002Fcfo-agent\u002Fagent.ts` كقالب — يحوي pattern الـ learned-skills addon.\n\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002Fmy-new-agent\u002Fagent.ts\nimport { generateText } from 'ai';\nimport { MODELS } from '@\u002Fsrc\u002Fai\u002Fmodels';\nimport { sanitizeContext } from '@\u002Fsrc\u002Fai\u002Fsafety\u002Fsanitize-context';\nimport { applyLearnedSkills } from '@\u002Fsrc\u002Fai\u002Fagents\u002F_shared\u002Flearned-skills';\nimport { MY_NEW_AGENT_SYSTEM_PROMPT } from '.\u002Fprompt';\nimport { tools } from '.\u002Ftools';\n\nexport async function runMyNewAgent(input: { userId: string; workspaceId?: string; question: string; context?: string }) {\n  const safeContext = input.context ? sanitizeContext(input.context) : '';\n  const learnedAddon = await applyLearnedSkills('my-new-agent', input.workspaceId);\n  const systemPrompt = learnedAddon\n    ? `${MY_NEW_AGENT_SYSTEM_PROMPT}\\n\\n${learnedAddon}`\n    : MY_NEW_AGENT_SYSTEM_PROMPT;\n\n  return generateText({\n    model: MODELS.FLASH,\n    system: systemPrompt,\n    prompt: safeContext\n      ? `[CONTEXT]\\n${safeContext}\\n\\n[QUESTION]\\n${input.question}`\n      : input.question,\n    tools,\n  });\n}\n```\n\n### 2.4 املأ `tools.ts`\nكل أداة لازم لها `risk` level — يفرضه `plan-guard`.\n\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002Fmy-new-agent\u002Ftools.ts\nimport { z } from 'zod';\nimport { tool } from 'ai';\nimport { requireHumanApproval } from '@\u002Fsrc\u002Fai\u002Fsafety\u002Fagent-governance';\n\nexport const tools = {\n  searchKnowledgeBase: tool({\n    description: 'يبحث في قاعدة المعرفة عن مستندات ذات صلة',\n    inputSchema: z.object({ query: z.string().min(3).max(500) }),\n    execute: async ({ query }) => {\n      \u002F\u002F risk: 'low' — read-only RAG\n      \u002F\u002F ... استدعاء embeddings-worker\n      return { results: [] };\n    },\n  }),\n\n  scheduleMeeting: tool({\n    description: 'يحجز اجتماعاً في تقويم المستخدم',\n    inputSchema: z.object({ when: z.string(), with: z.string().email() }),\n    execute: async (input, ctx) => {\n      \u002F\u002F risk: 'high' — يكتب في تقويم خارجي\n      await requireHumanApproval({\n        userId: ctx.userId,\n        action: 'schedule_meeting',\n        payload: input,\n      });\n      \u002F\u002F ... استدعاء Calendar API\n      return { ok: true };\n    },\n  }),\n};\n```\n\n---\n\n## المرحلة 3 — System Card\n\nأنشئ `docs\u002Fagents\u002Fmy-new-agent.md` بناءً على `docs\u002Fagents\u002F_TEMPLATE.md`. **إجباري قبل الـ merge.**\n\nثمّ أضف الوكيل إلى الـ index في `docs\u002Fagents\u002FREADME.md`.\n\n---\n\n## المرحلة 4 — التكامل في الواجهة\n\n### 4.1 سجّل الوكيل في الراوتر\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002F_router.ts (أو ما يقابله)\nimport { runMyNewAgent } from '.\u002Fmy-new-agent\u002Fagent';\n\nexport const AGENT_REGISTRY = {\n  \u002F\u002F ...\n  'my-new-agent': runMyNewAgent,\n};\n```\n\n### 4.2 أضف صفحة (لو الوكيل له واجهة مخصّصة)\n```bash\nmkdir -p app\u002F\\(dashboard\\)\u002Fmy-new-agent\ntouch app\u002F\\(dashboard\\)\u002Fmy-new-agent\u002Fpage.tsx\n```\n\n### 4.3 أضف الترجمات\n```json\n\u002F\u002F messages\u002Far.json\n\"my-new-agent\": {\n  \"title\": \"عنوان الوكيل\",\n  \"description\": \"وصف قصير\",\n  \"cta\": \"ابدأ الحوار\"\n}\n```\n\n---\n\n## المرحلة 5 — التقييم (Evals)\n\n### 5.1 أضف 50 سؤال إلى `test\u002Feval\u002Fgolden-dataset.json` تحت قسم `my-new-agent`.\n### 5.2 شغّل `npm run eval` وتأكّد من:\n- `recall@3 ≥ 0.75`\n- `LLM-judge score ≥ 0.80`\n\n### 5.3 أضف اختبار unit لكل tool في `test\u002Funit\u002Fagents\u002Fmy-new-agent.test.ts`.\n\n---\n\n## المرحلة 6 — الأمان والحوكمة\n\n### Checklist إلزاميّة قبل الـ merge:\n- [ ] System prompt **ثابت** — لا يدمج user input مباشرةً.\n- [ ] كل user input يمرّ بـ `sanitizeContext()` قبل LLM.\n- [ ] كل tool له `risk` level.\n- [ ] Tools `high|critical` تستدعي `requireHumanApproval()`.\n- [ ] System Card في `docs\u002Fagents\u002F`.\n- [ ] لو risk class = `High` → DPIA في `docs\u002Fdpia\u002F`.\n- [ ] Disclosures في الرد (\"هذه إجابة مولّدة...\").\n- [ ] Citations عند استخدام RAG.\n- [ ] Output يمرّ بـ `xss()` لو سيُعرض كـ HTML.\n- [ ] Rate limit في الـ API endpoint اللي يستدعي الوكيل.\n\n---\n\n## المرحلة 7 — التحقّق النهائي\n\n```bash\nnpm run typecheck   # 0 errors\nnpm run lint        # 0 errors\nnpm run test        # كل الاختبارات تمرّ\nnpm run eval        # ≥ thresholds\nnpm run test:rules  # لو غيّرت rules\n```\n\nثمّ حدّث `replit.md` بقسم Recent Major Updates يصف الوكيل الجديد.\n\n---\n\n## أنماط مشهورة (Templates)\n\n- **وكيل استشاري بسيط:** انسخ `cfo-agent` (read-heavy, كتابة قليلة).\n- **وكيل tools-heavy:** انسخ `opportunity-radar` (web fetch + scoring).\n- **وكيل Vertical:** انسخ `real-estate` (RAG على corpus متخصّص).\n- **وكيل routing:** انسخ `general-chat` (يحوّل للوكلاء الآخرين).\n","# Skill: إضافة وكيل جديد إلى Kalmeron\n\n> **متى تستخدم هذه المهارة؟** حين تطلب إضافة قسم\u002Fدور جديد (مثلاً «وكيل المخزون»، «وكيل الشحن»، «وكيل الأمان السيبراني»).\n\n> **متى لا تستخدمها؟** لتعديل سلوك وكيل قائم — هذا تغيير في `prompt.ts` فقط، ليس وكيلاً جديداً.\n\n---\n\n## المرحلة 1 — التخطيط (قبل أيّ كود)\n\n### 1.1 صنّف الوكيل\nأجب على هذه الأسئلة وضعها في System Card:\n- **الاسم:** بالعربية + الإنجليزية (kebab-case للملفّ).\n- **القسم:** Strategy \u002F Finance \u002F Legal \u002F Marketing \u002F Sales \u002F HR \u002F Operations \u002F Product \u002F Investor \u002F Customer \u002F Vertical.\n- **المهمّة الأساسيّة:** جملة واحدة.\n- **الـ EU AI Act risk class:** Minimal \u002F Limited \u002F High \u002F Unacceptable.\n  - **High** = تعطي توصيات قانونيّة\u002Fطبّيّة\u002Fتوظيف. يحتاج DPIA في `docs\u002Fdpia\u002F`.\n  - **Limited** = استشاري بدون أثر مباشر.\n  - **Minimal** = ترفيهي\u002Fمعلوماتي.\n\n### 1.2 حدّد الأدوات (Tools)\nارجع إلى `src\u002Fai\u002Fsafety\u002Fplan-guard.ts` لقائمة الأدوات المتاحة. لكل أداة حدّد:\n- اسمها (مثلاً `rag.search`, `web.fetch`, `firestore.create`).\n- مستوى المخاطر (`low`\u002F`medium`\u002F`high`\u002F`critical`).\n- هل تحتاج موافقة بشريّة؟\n\n### 1.3 حدّد البيانات\n- ما البيانات اللي يقرأها؟ (RAG corpus، collections في Firestore، web).\n- ما البيانات اللي يكتبها؟\n- مدّة الاحتفاظ.\n- هل تحوي PII؟\n\n---\n\n## المرحلة 2 — السكافولد\n\n### 2.1 أنشئ مجلّد الوكيل\n```bash\nAGENT_KEBAB=\"my-new-agent\"\nAGENT_PASCAL=\"MyNewAgent\"\n\nmkdir -p src\u002Fai\u002Fagents\u002F$AGENT_KEBAB\ntouch src\u002Fai\u002Fagents\u002F$AGENT_KEBAB\u002F{prompt.ts,agent.ts,tools.ts}\n```\n\n### 2.2 املأ `prompt.ts` (طبّق هيكل SCOPE)\nانظر `docs\u002FPROMPT_QUALITY.md` لتفاصيل SCOPE.\n\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002Fmy-new-agent\u002Fprompt.ts\nexport const MY_NEW_AGENT_SYSTEM_PROMPT = `أنت [الدور] في منصّة كلميرون.\n\n[S — Situation]\nالسياق: تخدم مؤسّسي شركات ناشئة عربية في مرحلة Pre-seed → Seed.\nالجمهور: مستخدم واحد، عربي، يكتب بالعامّيّة المصريّة.\n\n[C — Constraints]\n- تردّ بالعربيّة الفصحى المبسّطة دائماً.\n- تستخدم أرقاماً واقعيّة من السوق المصري.\n- لا تعطي وعوداً بـ \"النجاح المضمون\".\n- إذا كان السؤال خارج تخصّصك، حوّله للوكيل المناسب.\n\n[O — Outcome]\nالمخرج المثالي: [اوصف الشكل النهائي للرد — قائمة، تقرير، JSON، إلخ].\n\n[P — Patterns]\nاستخدم هذه القوالب:\n- لو السؤال \"كيف...\": ابدأ بـ \"في 3 خطوات: ...\"\n- لو السؤال \"ما...\": ابدأ بتعريف ثمّ مثال.\n\n[E — Exceptions]\n- لو السؤال يحوي بيانات شخصيّة لشخص ثالث: ارفض بأدب.\n- لو السؤال يطلب تنفيذ شيء يستلزم موافقة بشريّة: قل ذلك صراحةً.\n\nأنهِ كلّ رد بـ:\n\"هذه إجابة مولّدة آلياً وقد تحتوي على أخطاء — تحقّق من الأرقام مع متخصّص قبل اتّخاذ قرار.\"`;\n```\n\n### 2.3 املأ `agent.ts`\nانسخ من `src\u002Fai\u002Fagents\u002Fcfo-agent\u002Fagent.ts` كقالب — يحوي pattern الـ learned-skills addon.\n\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002Fmy-new-agent\u002Fagent.ts\nimport { generateText } from 'ai';\nimport { MODELS } from '@\u002Fsrc\u002Fai\u002Fmodels';\nimport { sanitizeContext } from '@\u002Fsrc\u002Fai\u002Fsafety\u002Fsanitize-context';\nimport { applyLearnedSkills } from '@\u002Fsrc\u002Fai\u002Fagents\u002F_shared\u002Flearned-skills';\nimport { MY_NEW_AGENT_SYSTEM_PROMPT } from '.\u002Fprompt';\nimport { tools } from '.\u002Ftools';\n\nexport async function runMyNewAgent(input: { userId: string; workspaceId?: string; question: string; context?: string }) {\n  const safeContext = input.context ? sanitizeContext(input.context) : '';\n  const learnedAddon = await applyLearnedSkills('my-new-agent', input.workspaceId);\n  const systemPrompt = learnedAddon\n    ? `${MY_NEW_AGENT_SYSTEM_PROMPT}\\n\\n${learnedAddon}`\n    : MY_NEW_AGENT_SYSTEM_PROMPT;\n\n  return generateText({\n    model: MODELS.FLASH,\n    system: systemPrompt,\n    prompt: safeContext\n      ? `[CONTEXT]\\n${safeContext}\\n\\n[QUESTION]\\n${input.question}`\n      : input.question,\n    tools,\n  });\n}\n```\n\n### 2.4 املأ `tools.ts`\nكل أداة لازم لها `risk` level — يفرضه `plan-guard`.\n\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002Fmy-new-agent\u002Ftools.ts\nimport { z } from 'zod';\nimport { tool } from 'ai';\nimport { requireHumanApproval } from '@\u002Fsrc\u002Fai\u002Fsafety\u002Fagent-governance';\n\nexport const tools = {\n  searchKnowledgeBase: tool({\n    description: 'يبحث في قاعدة المعرفة عن مستندات ذات صلة',\n    inputSchema: z.object({ query: z.string().min(3).max(500) }),\n    execute: async ({ query }) => {\n      \u002F\u002F risk: 'low' — read-only RAG\n      \u002F\u002F ... استدعاء embeddings-worker\n      return { results: [] };\n    },\n  }),\n\n  scheduleMeeting: tool({\n    description: 'يحجز اجتماعاً في تقويم المستخدم',\n    inputSchema: z.object({ when: z.string(), with: z.string().email() }),\n    execute: async (input, ctx) => {\n      \u002F\u002F risk: 'high' — يكتب في تقويم خارجي\n      await requireHumanApproval({\n        userId: ctx.userId,\n        action: 'schedule_meeting',\n        payload: input,\n      });\n      \u002F\u002F ... استدعاء Calendar API\n      return { ok: true };\n    },\n  }),\n};\n```\n\n---\n\n## المرحلة 3 — System Card\n\nأنشئ `docs\u002Fagents\u002Fmy-new-agent.md` بناءً على `docs\u002Fagents\u002F_TEMPLATE.md`. **إجباري قبل الـ merge.**\n\nثمّ أضف الوكيل إلى الـ index في `docs\u002Fagents\u002FREADME.md`.\n\n---\n\n## المرحلة 4 — التكامل في الواجهة\n\n### 4.1 سجّل الوكيل في الراوتر\n```ts\n\u002F\u002F src\u002Fai\u002Fagents\u002F_router.ts (أو ما يقابله)\nimport { runMyNewAgent } from '.\u002Fmy-new-agent\u002Fagent';\n\nexport const AGENT_REGISTRY = {\n  \u002F\u002F ...\n  'my-new-agent': runMyNewAgent,\n};\n```\n\n### 4.2 أضف صفحة (لو الوكيل له واجهة مخصّصة)\n```bash\nmkdir -p app\u002F\\(dashboard\\)\u002Fmy-new-agent\ntouch app\u002F\\(dashboard\\)\u002Fmy-new-agent\u002Fpage.tsx\n```\n\n### 4.3 أضف الترجمات\n```json\n\u002F\u002F messages\u002Far.json\n\"my-new-agent\": {\n  \"title\": \"عنوان الوكيل\",\n  \"description\": \"وصف قصير\",\n  \"cta\": \"ابدأ الحوار\"\n}\n```\n\n---\n\n## المرحلة 5 — التقييم (Evals)\n\n### 5.1 أضف 50 سؤال إلى `test\u002Feval\u002Fgolden-dataset.json` تحت قسم `my-new-agent`.\n### 5.2 شغّل `npm run eval` وتأكّد من:\n- `recall@3 ≥ 0.75`\n- `LLM-judge score ≥ 0.80`\n\n### 5.3 أضف اختبار unit لكل tool في `test\u002Funit\u002Fagents\u002Fmy-new-agent.test.ts`.\n\n---\n\n## المرحلة 6 — الأمان والحوكمة\n\n### Checklist إلزاميّة قبل الـ merge:\n- [ ] System prompt **ثابت** — لا يدمج user input مباشرةً.\n- [ ] كل user input يمرّ بـ `sanitizeContext()` قبل LLM.\n- [ ] كل tool له `risk` level.\n- [ ] Tools `high|critical` تستدعي `requireHumanApproval()`.\n- [ ] System Card في `docs\u002Fagents\u002F`.\n- [ ] لو risk class = `High` → DPIA في `docs\u002Fdpia\u002F`.\n- [ ] Disclosures في الرد (\"هذه إجابة مولّدة...\").\n- [ ] Citations عند استخدام RAG.\n- [ ] Output يمرّ بـ `xss()` لو سيُعرض كـ HTML.\n- [ ] Rate limit في الـ API endpoint اللي يستدعي الوكيل.\n\n---\n\n## المرحلة 7 — التحقّق النهائي\n\n```bash\nnpm run typecheck   # 0 errors\nnpm run lint        # 0 errors\nnpm run test        # كل الاختبارات تمرّ\nnpm run eval        # ≥ thresholds\nnpm run test:rules  # لو غيّرت rules\n```\n\nثمّ حدّث `replit.md` بقسم Recent Major Updates يصف الوكيل الجديد.\n\n---\n\n## أنماط مشهورة (Templates)\n\n- **وكيل استشاري بسيط:** انسخ `cfo-agent` (read-heavy, كتابة قليلة).\n- **وكيل tools-heavy:** انسخ `opportunity-radar` (web fetch + 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Use when asked to \"review my UI\", \"check accessibility\", \"audit design\", \"review UX\", or \"check my site against best practices\".","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fweb-design-guidelines\u002FSKILL.md",[2095,2098],{"categoryNo":2096,"categoryName":2097,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":2099,"categoryName":2100,"taxonomyType":2059,"taxonomyTypeDesc":2060},"01JBSEEDCAT000000000000032","设计师",[2102,2103,2104,2105,2106,2107,2108,2085,2109,2110,2069,2067,2111,2112,2081,2113,2114,2115,2116,2117],"guidelines","design","web","web design guidelines","web design","vercel","review","file","best practices","web interface guidelines","interface","check","accessibility","ux","audit","compliance",{"skillNo":2119,"name":2120,"nameZh":6,"description":2121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":2122,"licenseFileUrl":6,"sourceHtmlUrl":2123,"categories":2124,"keywords":2129,"publishedAt":28},"01M719SK11T05QYVPTWWYMYY5B","vitest","Set up Vitest testing in any project — detects project type (Cloudflare Workers, React, Node), generates vitest.config.ts, test setup, utilities, and sample tests. Also covers mocking patterns, coverage config, workspace setup, and Jest migration. Trigger with 'set up vitest', 'add tests', 'configure vitest', 'migrate from jest', 'vitest config', 'add unit tests', or 'testing setup'.","MIT","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fvitest\u002FSKILL.md",[2125,2126],{"categoryNo":2051,"categoryName":2052,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":2127,"categoryName":2128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[2120,2130,2131,2132,2133,2134,2135,2136,2137,2138,2139,2140,2141,2142,2143,2144,2145,2146,2147,2148],"patterns","up","Utilities","cloudflare workers","config","node","sample","react","jest","migrate","configure","cloudflare","test setup","testing","workspace setup","project","unit","SET","coverage",{"skillNo":2150,"name":2151,"nameZh":6,"description":2152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":2153,"categories":2154,"keywords":2155,"publishedAt":28},"01M719SGV9R1N88QWAB7Y925HD","verification-loops","Use when about to claim work is complete, fixed, or passing, before committing or creating PRs. Requires running verification commands and confirming output before making any success claims. Evidence before assertions always.","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fverification-loops\u002FSKILL.md",[],[2156,2157,2158,2069,2159,2067,2160,2161,2162,2163,2164,2165,2166,2167,2064,2168],"verification loops","loops","verification","assertions","claim","prs","complete","evidence","running","output","commands","about","claims",{"skillNo":2170,"name":2171,"nameZh":6,"description":2172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":2173,"categories":2174,"keywords":2175,"publishedAt":28},"01M719SF6NEB0KV6FGM5TPQAYS","verification-before-completion","Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always","https:\u002F\u002Fgithub.com\u002Fdahaliztupe-sketch\u002FKalmeron-Two\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fverification-before-completion\u002FSKILL.md",[],[2176,2158,2064,2166,2167,2168,2165,2069,2159,2067,2160,2161,2162,2163,2164],"verification before completion"]