[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F87H4Y2ZFJ2ABF8AA4TRK5":3,"skill-same:01M6F87H4Y2ZFJ2ABF8AA4TRK5":80},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":48,"linkOnly":49,"markdownContent":50,"markdownBody":51,"frontMatter":52,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M6F87H4Y2ZFJ2ABF8AA4TRK5","mistral-rate-limits",null,"Implement Mistral AI rate limiting, backoff, and request management.\nUse when handling rate limit errors, implementing retry logic,\nor optimizing API request throughput for Mistral AI.\nTrigger with phrases like \"mistral rate limit\", \"mistral throttling\",\n\"mistral 429\", \"mistral retry\", \"mistral backoff\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1981,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fmistral-pack\u002Fskills\u002Fmistral-rate-limits\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"Mistral","limits","rate","mistral rate limits","api request","implement","when","request","rate limit","for","implementing","limit","errors","429","backoff","retry","with","throughput","trigger","io","rate limiting","logic","use","management","edit","write","read","api","throttling","2026-11-10 10:12:30",false,"---\nname: mistral-rate-limits\ndescription: |\n  Implement Mistral AI rate limiting, backoff, and request management.\n  Use when handling rate limit errors, implementing retry logic,\n  or optimizing API request throughput for Mistral AI.\n  Trigger with phrases like \"mistral rate limit\", \"mistral throttling\",\n  \"mistral 429\", \"mistral retry\", \"mistral backoff\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# Mistral AI Rate Limits\n\n## Overview\nHandle Mistral AI rate limits gracefully with exponential backoff and request management.\n\n## Prerequisites\n- Mistral AI SDK installed\n- Understanding of async\u002Fawait patterns\n- Access to rate limit headers\n\n## Instructions\n\n### Step 1: Understand Rate Limit Tiers\n\n| Tier | Requests\u002Fmin | Tokens\u002Fmin | Tokens\u002Fmonth |\n|------|-------------|------------|--------------|\n| Free | 2 | 500K | 1B |\n| Production | 120 | 1M | 10B |\n| Enterprise | Custom | Custom | Custom |\n\n**Note:** Limits vary by model and are subject to change. Check console.mistral.ai for current limits.\n\n### Step 2: Implement Exponential Backoff with Jitter\n\n```typescript\ninterface RetryConfig {\n  maxRetries: number;\n  baseDelayMs: number;\n  maxDelayMs: number;\n  jitterMs: number;\n}\n\nasync function withExponentialBackoff\u003CT>(\n  operation: () => Promise\u003CT>,\n  config: RetryConfig = {\n    maxRetries: 5,\n    baseDelayMs: 1000,\n    maxDelayMs: 60000,\n    jitterMs: 500\n  }\n): Promise\u003CT> {\n  for (let attempt = 0; attempt \u003C= config.maxRetries; attempt++) {\n    try {\n      return await operation();\n    } catch (error: any) {\n      if (attempt === config.maxRetries) throw error;\n\n      const status = error.status;\n\n      \u002F\u002F Only retry on rate limits (429) or server errors (5xx)\n      if (status !== 429 && (status \u003C 500 || status >= 600)) throw error;\n\n      \u002F\u002F Check for Retry-After header\n      const retryAfter = error.headers?.['retry-after'];\n      let delay: number;\n\n      if (retryAfter) {\n        delay = parseInt(retryAfter) * 1000;\n      } else {\n        \u002F\u002F Exponential delay with jitter to prevent thundering herd\n        const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt);\n        const jitter = Math.random() * config.jitterMs;\n        delay = Math.min(exponentialDelay + jitter, config.maxDelayMs);\n      }\n\n      console.log(`Attempt ${attempt + 1} failed (${status}). Retrying in ${delay.toFixed(0)}ms...`);\n      await new Promise(r => setTimeout(r, delay));\n    }\n  }\n  throw new Error('Unreachable');\n}\n\n\u002F\u002F Usage\nconst response = await withExponentialBackoff(() =>\n  client.chat.complete({\n    model: 'mistral-small-latest',\n    messages: [{ role: 'user', content: 'Hello!' }],\n  })\n);\n```\n\n### Step 3: Token-Based Rate Limiting\n\n```typescript\nclass TokenRateLimiter {\n  private tokensUsed = 0;\n  private windowStart = Date.now();\n  private readonly tokensPerMinute: number;\n  private readonly windowMs = 60000; \u002F\u002F 1 minute\n\n  constructor(tokensPerMinute = 500000) {\n    this.tokensPerMinute = tokensPerMinute;\n  }\n\n  async waitForCapacity(estimatedTokens: number): Promise\u003Cvoid> {\n    const now = Date.now();\n    const elapsed = now - this.windowStart;\n\n    \u002F\u002F Reset window if needed\n    if (elapsed >= this.windowMs) {\n      this.tokensUsed = 0;\n      this.windowStart = now;\n    }\n\n    \u002F\u002F Check if we need to wait\n    if (this.tokensUsed + estimatedTokens > this.tokensPerMinute) {\n      const waitTime = this.windowMs - elapsed;\n      console.log(`Token limit approaching. Waiting ${waitTime}ms...`);\n      await new Promise(r => setTimeout(r, waitTime));\n      this.tokensUsed = 0;\n      this.windowStart = Date.now();\n    }\n  }\n\n  recordUsage(tokensUsed: number): void {\n    this.tokensUsed += tokensUsed;\n  }\n}\n\n\u002F\u002F Usage\nconst rateLimiter = new TokenRateLimiter(500000);\n\nasync function rateLimitedChat(messages: Message[]): Promise\u003Cstring> {\n  \u002F\u002F Estimate tokens (rough: 4 chars per token)\n  const estimatedTokens = JSON.stringify(messages).length \u002F 4;\n\n  await rateLimiter.waitForCapacity(estimatedTokens + 500); \u002F\u002F +500 for response\n\n  const response = await client.chat.complete({\n    model: 'mistral-small-latest',\n    messages,\n  });\n\n  if (response.usage) {\n    rateLimiter.recordUsage(response.usage.totalTokens || 0);\n  }\n\n  return response.choices?.[0]?.message?.content ?? '';\n}\n```\n\n### Step 4: Request Queue with Concurrency Control\n\n```typescript\nimport PQueue from 'p-queue';\n\nconst requestQueue = new PQueue({\n  concurrency: 5,        \u002F\u002F Max concurrent requests\n  interval: 1000,        \u002F\u002F 1 second interval\n  intervalCap: 10,       \u002F\u002F Max 10 requests per interval\n});\n\nasync function queuedRequest\u003CT>(operation: () => Promise\u003CT>): Promise\u003CT> {\n  return requestQueue.add(async () => {\n    return withExponentialBackoff(operation);\n  });\n}\n\n\u002F\u002F Usage\nconst results = await Promise.all(\n  prompts.map(prompt =>\n    queuedRequest(() =>\n      client.chat.complete({\n        model: 'mistral-small-latest',\n        messages: [{ role: 'user', content: prompt }],\n      })\n    )\n  )\n);\n```\n\n### Step 5: Rate Limit Monitor\n\n```typescript\nclass RateLimitMonitor {\n  private requestCount = 0;\n  private lastReset = Date.now();\n  private readonly alertThreshold: number;\n\n  constructor(alertThreshold = 0.8) {\n    this.alertThreshold = alertThreshold;\n  }\n\n  recordRequest(): void {\n    const now = Date.now();\n    if (now - this.lastReset >= 60000) {\n      this.requestCount = 0;\n      this.lastReset = now;\n    }\n    this.requestCount++;\n  }\n\n  checkThreshold(maxRequests: number): void {\n    if (this.requestCount \u002F maxRequests > this.alertThreshold) {\n      console.warn(`Rate limit warning: ${this.requestCount}\u002F${maxRequests} requests used`);\n    }\n  }\n\n  getStats(): { requestCount: number; windowRemaining: number } {\n    return {\n      requestCount: this.requestCount,\n      windowRemaining: 60000 - (Date.now() - this.lastReset),\n    };\n  }\n}\n```\n\n## Output\n- Reliable API calls with automatic retry\n- Token-based rate limiting\n- Request queue with concurrency control\n- Rate limit monitoring\n\n## Error Handling\n| Header | Description | Action |\n|--------|-------------|--------|\n| Retry-After | Seconds to wait | Honor this value |\n| X-RateLimit-Limit | Max requests | Monitor usage |\n| X-RateLimit-Remaining | Remaining requests | Throttle if low |\n| X-RateLimit-Reset | Reset timestamp | Wait until reset |\n\n## Examples\n\n### Python Rate Limiting\n```python\nimport time\nimport asyncio\nfrom mistralai import Mistral\n\nasync def with_retry(client, max_retries=3):\n    for attempt in range(max_retries):\n        try:\n            return await client.chat.complete(\n                model=\"mistral-small-latest\",\n                messages=[{\"role\": \"user\", \"content\": \"Hello\"}]\n            )\n        except Exception as e:\n            if hasattr(e, 'status') and e.status == 429:\n                delay = (2 ** attempt) + (random.random() * 0.5)\n                print(f\"Rate limited. Waiting {delay:.1f}s...\")\n                await asyncio.sleep(delay)\n            else:\n                raise\n    raise Exception(\"Max retries exceeded\")\n```\n\n### Batch Processing with Rate Limiting\n```typescript\nasync function processBatch\u003CT, R>(\n  items: T[],\n  processor: (item: T) => Promise\u003CR>,\n  batchSize = 5,\n  delayMs = 1000\n): Promise\u003CR[]> {\n  const results: R[] = [];\n\n  for (let i = 0; i \u003C items.length; i += batchSize) {\n    const batch = items.slice(i, i + batchSize);\n\n    const batchResults = await Promise.all(\n      batch.map(item => withExponentialBackoff(() => processor(item)))\n    );\n\n    results.push(...batchResults);\n\n    \u002F\u002F Delay between batches\n    if (i + batchSize \u003C items.length) {\n      await new Promise(r => setTimeout(r, delayMs));\n    }\n  }\n\n  return results;\n}\n```\n\n## Resources\n- [Mistral AI Rate Limits](https:\u002F\u002Fdocs.mistral.ai\u002Fapi\u002F#rate-limits)\n- [Mistral AI Console](https:\u002F\u002Fconsole.mistral.ai\u002F)\n- [p-queue Documentation](https:\u002F\u002Fgithub.com\u002Fsindresorhus\u002Fp-queue)\n\n## Next Steps\nFor security configuration, see `mistral-security-basics`.\n","# Mistral AI Rate Limits\n\n## Overview\nHandle Mistral AI rate limits gracefully with exponential backoff and request management.\n\n## Prerequisites\n- Mistral AI SDK installed\n- Understanding of async\u002Fawait patterns\n- Access to rate limit headers\n\n## Instructions\n\n### Step 1: Understand Rate Limit Tiers\n\n| Tier | Requests\u002Fmin | Tokens\u002Fmin | Tokens\u002Fmonth |\n|------|-------------|------------|--------------|\n| Free | 2 | 500K | 1B |\n| Production | 120 | 1M | 10B |\n| Enterprise | Custom | Custom | Custom |\n\n**Note:** Limits vary by model and are subject to change. Check console.mistral.ai for current limits.\n\n### Step 2: Implement Exponential Backoff with Jitter\n\n```typescript\ninterface RetryConfig {\n  maxRetries: number;\n  baseDelayMs: number;\n  maxDelayMs: number;\n  jitterMs: number;\n}\n\nasync function withExponentialBackoff\u003CT>(\n  operation: () => Promise\u003CT>,\n  config: RetryConfig = {\n    maxRetries: 5,\n    baseDelayMs: 1000,\n    maxDelayMs: 60000,\n    jitterMs: 500\n  }\n): Promise\u003CT> {\n  for (let attempt = 0; attempt \u003C= config.maxRetries; attempt++) {\n    try {\n      return await operation();\n    } catch (error: any) {\n      if (attempt === config.maxRetries) throw error;\n\n      const status = error.status;\n\n      \u002F\u002F Only retry on rate limits (429) or server errors (5xx)\n      if (status !== 429 && (status \u003C 500 || status >= 600)) throw error;\n\n      \u002F\u002F Check for Retry-After header\n      const retryAfter = error.headers?.['retry-after'];\n      let delay: number;\n\n      if (retryAfter) {\n        delay = parseInt(retryAfter) * 1000;\n      } else {\n        \u002F\u002F Exponential delay with jitter to prevent thundering herd\n        const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt);\n        const jitter = Math.random() * config.jitterMs;\n        delay = Math.min(exponentialDelay + jitter, config.maxDelayMs);\n      }\n\n      console.log(`Attempt ${attempt + 1} failed (${status}). Retrying in ${delay.toFixed(0)}ms...`);\n      await new Promise(r => setTimeout(r, delay));\n    }\n  }\n  throw new Error('Unreachable');\n}\n\n\u002F\u002F Usage\nconst response = await withExponentialBackoff(() =>\n  client.chat.complete({\n    model: 'mistral-small-latest',\n    messages: [{ role: 'user', content: 'Hello!' }],\n  })\n);\n```\n\n### Step 3: Token-Based Rate Limiting\n\n```typescript\nclass TokenRateLimiter {\n  private tokensUsed = 0;\n  private windowStart = Date.now();\n  private readonly tokensPerMinute: number;\n  private readonly windowMs = 60000; \u002F\u002F 1 minute\n\n  constructor(tokensPerMinute = 500000) {\n    this.tokensPerMinute = tokensPerMinute;\n  }\n\n  async waitForCapacity(estimatedTokens: number): Promise\u003Cvoid> {\n    const now = Date.now();\n    const elapsed = now - this.windowStart;\n\n    \u002F\u002F Reset window if needed\n    if (elapsed >= this.windowMs) {\n      this.tokensUsed = 0;\n      this.windowStart = now;\n    }\n\n    \u002F\u002F Check if we need to wait\n    if (this.tokensUsed + estimatedTokens > this.tokensPerMinute) {\n      const waitTime = this.windowMs - elapsed;\n      console.log(`Token limit approaching. Waiting ${waitTime}ms...`);\n      await new Promise(r => setTimeout(r, waitTime));\n      this.tokensUsed = 0;\n      this.windowStart = Date.now();\n    }\n  }\n\n  recordUsage(tokensUsed: number): void {\n    this.tokensUsed += tokensUsed;\n  }\n}\n\n\u002F\u002F Usage\nconst rateLimiter = new TokenRateLimiter(500000);\n\nasync function rateLimitedChat(messages: Message[]): Promise\u003Cstring> {\n  \u002F\u002F Estimate tokens (rough: 4 chars per token)\n  const estimatedTokens = JSON.stringify(messages).length \u002F 4;\n\n  await rateLimiter.waitForCapacity(estimatedTokens + 500); \u002F\u002F +500 for response\n\n  const response = await client.chat.complete({\n    model: 'mistral-small-latest',\n    messages,\n  });\n\n  if (response.usage) {\n    rateLimiter.recordUsage(response.usage.totalTokens || 0);\n  }\n\n  return response.choices?.[0]?.message?.content ?? '';\n}\n```\n\n### Step 4: Request Queue with Concurrency Control\n\n```typescript\nimport PQueue from 'p-queue';\n\nconst requestQueue = new PQueue({\n  concurrency: 5,        \u002F\u002F Max concurrent requests\n  interval: 1000,        \u002F\u002F 1 second interval\n  intervalCap: 10,       \u002F\u002F Max 10 requests per interval\n});\n\nasync function queuedRequest\u003CT>(operation: () => Promise\u003CT>): Promise\u003CT> {\n  return requestQueue.add(async () => {\n    return withExponentialBackoff(operation);\n  });\n}\n\n\u002F\u002F Usage\nconst results = await Promise.all(\n  prompts.map(prompt =>\n    queuedRequest(() =>\n      client.chat.complete({\n        model: 'mistral-small-latest',\n        messages: [{ role: 'user', content: prompt }],\n      })\n    )\n  )\n);\n```\n\n### Step 5: Rate Limit Monitor\n\n```typescript\nclass RateLimitMonitor {\n  private requestCount = 0;\n  private lastReset = Date.now();\n  private readonly alertThreshold: number;\n\n  constructor(alertThreshold = 0.8) {\n    this.alertThreshold = alertThreshold;\n  }\n\n  recordRequest(): void {\n    const now = Date.now();\n    if (now - this.lastReset >= 60000) {\n      this.requestCount = 0;\n      this.lastReset = now;\n    }\n    this.requestCount++;\n  }\n\n  checkThreshold(maxRequests: number): void {\n    if (this.requestCount \u002F maxRequests > this.alertThreshold) {\n      console.warn(`Rate limit warning: ${this.requestCount}\u002F${maxRequests} requests used`);\n    }\n  }\n\n  getStats(): { requestCount: number; windowRemaining: number } {\n    return {\n      requestCount: this.requestCount,\n      windowRemaining: 60000 - (Date.now() - this.lastReset),\n    };\n  }\n}\n```\n\n## Output\n- Reliable API calls with automatic retry\n- Token-based rate limiting\n- Request queue with concurrency control\n- Rate limit monitoring\n\n## Error Handling\n| Header | Description | Action |\n|--------|-------------|--------|\n| Retry-After | Seconds to wait | Honor this value |\n| X-RateLimit-Limit | Max requests | Monitor usage |\n| X-RateLimit-Remaining | Remaining requests | Throttle if low |\n| X-RateLimit-Reset | Reset timestamp | Wait until reset |\n\n## Examples\n\n### Python Rate Limiting\n```python\nimport time\nimport asyncio\nfrom mistralai import Mistral\n\nasync def with_retry(client, max_retries=3):\n    for attempt in range(max_retries):\n        try:\n            return await client.chat.complete(\n                model=\"mistral-small-latest\",\n                messages=[{\"role\": \"user\", \"content\": \"Hello\"}]\n            )\n        except Exception as e:\n            if hasattr(e, 'status') and e.status == 429:\n                delay = (2 ** attempt) + (random.random() * 0.5)\n                print(f\"Rate limited. Waiting {delay:.1f}s...\")\n                await asyncio.sleep(delay)\n            else:\n                raise\n    raise Exception(\"Max retries exceeded\")\n```\n\n### Batch Processing with Rate Limiting\n```typescript\nasync function processBatch\u003CT, R>(\n  items: T[],\n  processor: (item: T) => Promise\u003CR>,\n  batchSize = 5,\n  delayMs = 1000\n): Promise\u003CR[]> {\n  const results: R[] = [];\n\n  for (let i = 0; i \u003C items.length; i += batchSize) {\n    const batch = items.slice(i, i + batchSize);\n\n    const batchResults = await Promise.all(\n      batch.map(item => withExponentialBackoff(() => processor(item)))\n    );\n\n    results.push(...batchResults);\n\n    \u002F\u002F Delay between batches\n    if (i + batchSize \u003C items.length) {\n      await new Promise(r => setTimeout(r, delayMs));\n    }\n  }\n\n  return results;\n}\n```\n\n## Resources\n- [Mistral AI Rate Limits](https:\u002F\u002Fdocs.mistral.ai\u002Fapi\u002F#rate-limits)\n- [Mistral AI Console](https:\u002F\u002Fconsole.mistral.ai\u002F)\n- [p-queue Documentation](https:\u002F\u002Fgithub.com\u002Fsindresorhus\u002Fp-queue)\n\n## Next Steps\nFor security configuration, see `mistral-security-basics`.\n",{"name":5,"author":53,"license":15,"version":54,"description":55,"allowed-tools":56},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Implement Mistral AI rate limiting, backoff, and request management.\nUse when handling rate limit errors, implementing retry logic,\nor optimizing API request throughput for Mistral AI.\nTrigger with phrases like \"mistral rate limit\", \"mistral throttling\",\n\"mistral 429\", \"mistral retry\", \"mistral backoff\".\n","Read, Write, Edit","main","90b50ed0778745a80fd5bfb13b1843d45b9e82f7","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fmistral-pack\u002Fskills\u002Fmistral-rate-limits",231,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-12 03:15:57",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill mistral-rate-limits",{"tool":72,"command":73},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill mistral-rate-limits",{"tool":75,"command":76},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill mistral-rate-limits","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fmistral-pack\u002Fskills\u002Fmistral-rate-limits\u002FSKILL.md",true,[],[81,120,144,170,197,218],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":86,"sourceHtmlUrl":87,"categories":88,"keywords":94,"publishedAt":48},"01M6FEGPPK0ZTKCCM0R3E3KS33","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). 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Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[127,130],{"categoryNo":128,"categoryName":129,"taxonomyType":92,"taxonomyTypeDesc":93},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":90,"categoryName":91,"taxonomyType":92,"taxonomyTypeDesc":93},[132,133,134,100,135,136,96,137,138,139,110,140,141,142,143,35,28],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":148,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":48},"01M6FE20F7ZTQBFWKF4MPJ2SBX","neuropixels-analysis","Neuropixels neural recording analysis. Load SpikeGLX\u002FOpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen\u002FIBL curation, AI-assisted visual analysis, for Neuropixels 1.0\u002F2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FSKILL.md",[],[152,153,154,155,156,157,158,159,41,160,161,162,163,164,165,166,35,167,168,169,28,25],"analysis","neuropixels analysis","spike","metrics","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":174,"sourceHtmlUrl":175,"categories":176,"keywords":180,"publishedAt":48},"01M6FDP0PDK6F1GGX395C7625Z","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[177],{"categoryNo":178,"categoryName":179,"taxonomyType":92,"taxonomyTypeDesc":93},"01JBSEEDCAT000000000000023","Skill与智能体开发",[181,182,183,184,185,186,187,188,189,190,191,192,193,194,35,28,195,25,196],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":201,"sourceHtmlUrl":202,"categories":203,"keywords":205,"publishedAt":48},"01M6FDM8Y7VK7NYG9SM7QPA3PW","notebooklm","Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",[204],{"categoryNo":178,"categoryName":179,"taxonomyType":92,"taxonomyTypeDesc":93},[199,206,207,208,209,210,211,139,212,42,41,213,214,215,216,28,217],"google","browser automation","gemini","automation","auth","code","library","only","document","query","Citation","source",{"skillNo":219,"name":220,"nameZh":6,"description":221,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":222,"sourceHtmlUrl":223,"categories":224,"keywords":231,"publishedAt":48},"01M6FDHPXE10J3XGTCH5HBHS1M","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[225,228],{"categoryNo":226,"categoryName":227,"taxonomyType":92,"taxonomyTypeDesc":93},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":229,"categoryName":230,"taxonomyType":92,"taxonomyTypeDesc":93},"01JBSEEDCAT000000000000016","图像与多媒体",[232,233,234,182,235,111,236,237,187,41,238,194,239,240,241,28,26,25],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts"]