[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H62KBAR174EM024RKERD2H":3,"skill-same:01M6H62KBAR174EM024RKERD2H":77},{"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":6,"sourceHtmlUrl":15,"categories":16,"keywords":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":62,"install":63,"resources":76},"01M6H62KBAR174EM024RKERD2H","deepgram-core-workflow-b",null,"Implement real-time streaming transcription with Deepgram.\nUse when building live transcription, voice interfaces,\nor real-time audio processing applications.\nTrigger with phrases like \"deepgram streaming\", \"real-time transcription\",\n\"live transcription\", \"websocket transcription\", \"voice streaming\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fdeepgram-pack\u002Fskills\u002Fdeepgram-core-workflow-b\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"workflow","core","deepgram core workflow b","deepgram","Bash","pip","with","processing","trigger","io","time","use","codex","Audio","applications","real-time","websocket","streaming","code","implement","2026-11-10 10:12:30",false,"---\nname: deepgram-core-workflow-b\ndescription: |\n  Implement real-time streaming transcription with Deepgram.\n  Use when building live transcription, voice interfaces,\n  or real-time audio processing applications.\n  Trigger with phrases like \"deepgram streaming\", \"real-time transcription\",\n  \"live transcription\", \"websocket transcription\", \"voice streaming\".\nallowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# Deepgram Core Workflow B: Streaming Transcription\n\n## Overview\nBuild real-time streaming transcription with Deepgram WebSocket API. Covers live audio capture, WebSocket connection management, interim\u002Ffinal result handling, and speaker diarization in streaming mode.\n\n## Prerequisites\n- Deepgram API key\n- `@deepgram\u002Fsdk` npm package installed\n- Microphone access (for live capture) or audio stream source\n- WebSocket support in your runtime\n\n## Instructions\n\n### Step 1: WebSocket Streaming Connection\n```typescript\nimport { createClient, LiveTranscriptionEvents } from '@deepgram\u002Fsdk';\n\nconst deepgram = createClient(process.env.DEEPGRAM_API_KEY!);\n\nasync function startLiveTranscription(onTranscript: (text: string, isFinal: boolean) => void) {\n  const connection = deepgram.listen.live({\n    model: 'nova-2',\n    language: 'en-US',\n    smart_format: true,\n    interim_results: true,\n    utterance_end_ms: 1000,  # 1000: 1 second in ms\n    vad_events: true,\n    diarize: true,\n  });\n\n  connection.on(LiveTranscriptionEvents.Open, () => {\n    console.log('Deepgram connection opened');\n  });\n\n  connection.on(LiveTranscriptionEvents.Transcript, (data) => {\n    const transcript = data.channel.alternatives[0];\n    if (transcript.transcript) {\n      onTranscript(transcript.transcript, data.is_final);\n    }\n  });\n\n  connection.on(LiveTranscriptionEvents.UtteranceEnd, () => {\n    onTranscript('\\n', true); \u002F\u002F End of utterance\n  });\n\n  connection.on(LiveTranscriptionEvents.Error, (err) => {\n    console.error('Deepgram error:', err);\n  });\n\n  connection.on(LiveTranscriptionEvents.Close, () => {\n    console.log('Deepgram connection closed');\n  });\n\n  return connection;\n}\n```\n\n### Step 2: Audio Stream from Microphone\n```typescript\nimport { Readable } from 'stream';\n\n\u002F\u002F Node.js: capture audio from system microphone\nasync function captureAndTranscribe() {\n  const connection = await startLiveTranscription((text, isFinal) => {\n    if (isFinal) {\n      process.stdout.write(text);\n    }\n  });\n\n  \u002F\u002F Using Sox for audio capture (install: apt-get install sox)\n  const { spawn } = await import('child_process');\n  const mic = spawn('rec', [\n    '-q',            \u002F\u002F Quiet\n    '-t', 'raw',     \u002F\u002F Raw format\n    '-r', '16000',   \u002F\u002F 16kHz sample rate  # 16000 = configured value\n    '-e', 'signed',  \u002F\u002F Signed integer encoding\n    '-b', '16',      \u002F\u002F 16-bit\n    '-c', '1',       \u002F\u002F Mono\n    '-',             \u002F\u002F Output to stdout\n  ]);\n\n  mic.stdout.on('data', (chunk: Buffer) => {\n    connection.send(chunk);\n  });\n\n  \u002F\u002F Stop after 30 seconds\n  setTimeout(() => {\n    mic.kill();\n    connection.finish();\n  }, 30000);  # 30000: 30 seconds in ms\n}\n```\n\n### Step 3: Handle Interim and Final Results\n```typescript\nclass TranscriptionManager {\n  private finalTranscript = '';\n  private interimTranscript = '';\n\n  handleResult(text: string, isFinal: boolean) {\n    if (isFinal) {\n      this.finalTranscript += text + ' ';\n      this.interimTranscript = '';\n    } else {\n      this.interimTranscript = text;\n    }\n  }\n\n  getDisplayText(): string {\n    return this.finalTranscript + this.interimTranscript;\n  }\n\n  getFinalTranscript(): string {\n    return this.finalTranscript.trim();\n  }\n\n  reset() {\n    this.finalTranscript = '';\n    this.interimTranscript = '';\n  }\n}\n\n\u002F\u002F Usage with WebSocket\nconst manager = new TranscriptionManager();\nconst connection = await startLiveTranscription((text, isFinal) => {\n  manager.handleResult(text, isFinal);\n  \u002F\u002F Update UI with current display text\n  updateUI(manager.getDisplayText());\n});\n```\n\n### Step 4: Speaker Diarization in Streaming\n```typescript\ninterface SpeakerSegment {\n  speaker: number;\n  text: string;\n  startTime: number;\n  endTime: number;\n}\n\nfunction processDiarizedTranscript(data: any): SpeakerSegment[] {\n  const words = data.channel.alternatives[0].words || [];\n  const segments: SpeakerSegment[] = [];\n  let currentSegment: SpeakerSegment | null = null;\n\n  for (const word of words) {\n    if (!currentSegment || currentSegment.speaker !== word.speaker) {\n      if (currentSegment) segments.push(currentSegment);\n      currentSegment = {\n        speaker: word.speaker,\n        text: word.punctuated_word || word.word,\n        startTime: word.start,\n        endTime: word.end,\n      };\n    } else {\n      currentSegment.text += ' ' + (word.punctuated_word || word.word);\n      currentSegment.endTime = word.end;\n    }\n  }\n\n  if (currentSegment) segments.push(currentSegment);\n  return segments;\n}\n\n\u002F\u002F Display with speaker labels\nfunction formatDiarizedOutput(segments: SpeakerSegment[]): string {\n  return segments\n    .map(s => `[Speaker ${s.speaker}]: ${s.text}`)\n    .join('\\n');\n}\n```\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| WebSocket disconnects | Network instability | Implement auto-reconnect with backoff |\n| No audio data | Microphone not captured | Check audio device permissions and format |\n| High latency | Network congestion | Use `interim_results: true` for perceived speed |\n| Missing speakers | Diarization not enabled | Set `diarize: true` in connection options |\n\n## Examples\n\n### Express SSE Streaming Endpoint\n```typescript\napp.get('\u002Fapi\u002Ftranscribe-stream', (req, res) => {\n  res.setHeader('Content-Type', 'text\u002Fevent-stream');\n\n  const connection = startLiveTranscription((text, isFinal) => {\n    res.write(`data: ${JSON.stringify({ text, isFinal })}\\n\\n`);\n  });\n\n  req.on('close', () => connection.finish());\n});\n```\n\n## Resources\n- [Deepgram Streaming API](https:\u002F\u002Fdevelopers.deepgram.com\u002Fdocs\u002Fstreaming)\n- [Deepgram Node SDK](https:\u002F\u002Fgithub.com\u002Fdeepgram\u002Fdeepgram-node-sdk)\n- [Deepgram Models](https:\u002F\u002Fdevelopers.deepgram.com\u002Fdocs\u002Fmodels-overview)\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale","# Deepgram Core Workflow B: Streaming Transcription\n\n## Overview\nBuild real-time streaming transcription with Deepgram WebSocket API. Covers live audio capture, WebSocket connection management, interim\u002Ffinal result handling, and speaker diarization in streaming mode.\n\n## Prerequisites\n- Deepgram API key\n- `@deepgram\u002Fsdk` npm package installed\n- Microphone access (for live capture) or audio stream source\n- WebSocket support in your runtime\n\n## Instructions\n\n### Step 1: WebSocket Streaming Connection\n```typescript\nimport { createClient, LiveTranscriptionEvents } from '@deepgram\u002Fsdk';\n\nconst deepgram = createClient(process.env.DEEPGRAM_API_KEY!);\n\nasync function startLiveTranscription(onTranscript: (text: string, isFinal: boolean) => void) {\n  const connection = deepgram.listen.live({\n    model: 'nova-2',\n    language: 'en-US',\n    smart_format: true,\n    interim_results: true,\n    utterance_end_ms: 1000,  # 1000: 1 second in ms\n    vad_events: true,\n    diarize: true,\n  });\n\n  connection.on(LiveTranscriptionEvents.Open, () => {\n    console.log('Deepgram connection opened');\n  });\n\n  connection.on(LiveTranscriptionEvents.Transcript, (data) => {\n    const transcript = data.channel.alternatives[0];\n    if (transcript.transcript) {\n      onTranscript(transcript.transcript, data.is_final);\n    }\n  });\n\n  connection.on(LiveTranscriptionEvents.UtteranceEnd, () => {\n    onTranscript('\\n', true); \u002F\u002F End of utterance\n  });\n\n  connection.on(LiveTranscriptionEvents.Error, (err) => {\n    console.error('Deepgram error:', err);\n  });\n\n  connection.on(LiveTranscriptionEvents.Close, () => {\n    console.log('Deepgram connection closed');\n  });\n\n  return connection;\n}\n```\n\n### Step 2: Audio Stream from Microphone\n```typescript\nimport { Readable } from 'stream';\n\n\u002F\u002F Node.js: capture audio from system microphone\nasync function captureAndTranscribe() {\n  const connection = await startLiveTranscription((text, isFinal) => {\n    if (isFinal) {\n      process.stdout.write(text);\n    }\n  });\n\n  \u002F\u002F Using Sox for audio capture (install: apt-get install sox)\n  const { spawn } = await import('child_process');\n  const mic = spawn('rec', [\n    '-q',            \u002F\u002F Quiet\n    '-t', 'raw',     \u002F\u002F Raw format\n    '-r', '16000',   \u002F\u002F 16kHz sample rate  # 16000 = configured value\n    '-e', 'signed',  \u002F\u002F Signed integer encoding\n    '-b', '16',      \u002F\u002F 16-bit\n    '-c', '1',       \u002F\u002F Mono\n    '-',             \u002F\u002F Output to stdout\n  ]);\n\n  mic.stdout.on('data', (chunk: Buffer) => {\n    connection.send(chunk);\n  });\n\n  \u002F\u002F Stop after 30 seconds\n  setTimeout(() => {\n    mic.kill();\n    connection.finish();\n  }, 30000);  # 30000: 30 seconds in ms\n}\n```\n\n### Step 3: Handle Interim and Final Results\n```typescript\nclass TranscriptionManager {\n  private finalTranscript = '';\n  private interimTranscript = '';\n\n  handleResult(text: string, isFinal: boolean) {\n    if (isFinal) {\n      this.finalTranscript += text + ' ';\n      this.interimTranscript = '';\n    } else {\n      this.interimTranscript = text;\n    }\n  }\n\n  getDisplayText(): string {\n    return this.finalTranscript + this.interimTranscript;\n  }\n\n  getFinalTranscript(): string {\n    return this.finalTranscript.trim();\n  }\n\n  reset() {\n    this.finalTranscript = '';\n    this.interimTranscript = '';\n  }\n}\n\n\u002F\u002F Usage with WebSocket\nconst manager = new TranscriptionManager();\nconst connection = await startLiveTranscription((text, isFinal) => {\n  manager.handleResult(text, isFinal);\n  \u002F\u002F Update UI with current display text\n  updateUI(manager.getDisplayText());\n});\n```\n\n### Step 4: Speaker Diarization in Streaming\n```typescript\ninterface SpeakerSegment {\n  speaker: number;\n  text: string;\n  startTime: number;\n  endTime: number;\n}\n\nfunction processDiarizedTranscript(data: any): SpeakerSegment[] {\n  const words = data.channel.alternatives[0].words || [];\n  const segments: SpeakerSegment[] = [];\n  let currentSegment: SpeakerSegment | null = null;\n\n  for (const word of words) {\n    if (!currentSegment || currentSegment.speaker !== word.speaker) {\n      if (currentSegment) segments.push(currentSegment);\n      currentSegment = {\n        speaker: word.speaker,\n        text: word.punctuated_word || word.word,\n        startTime: word.start,\n        endTime: word.end,\n      };\n    } else {\n      currentSegment.text += ' ' + (word.punctuated_word || word.word);\n      currentSegment.endTime = word.end;\n    }\n  }\n\n  if (currentSegment) segments.push(currentSegment);\n  return segments;\n}\n\n\u002F\u002F Display with speaker labels\nfunction formatDiarizedOutput(segments: SpeakerSegment[]): string {\n  return segments\n    .map(s => `[Speaker ${s.speaker}]: ${s.text}`)\n    .join('\\n');\n}\n```\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| WebSocket disconnects | Network instability | Implement auto-reconnect with backoff |\n| No audio data | Microphone not captured | Check audio device permissions and format |\n| High latency | Network congestion | Use `interim_results: true` for perceived speed |\n| Missing speakers | Diarization not enabled | Set `diarize: true` in connection options |\n\n## Examples\n\n### Express SSE Streaming Endpoint\n```typescript\napp.get('\u002Fapi\u002Ftranscribe-stream', (req, res) => {\n  res.setHeader('Content-Type', 'text\u002Fevent-stream');\n\n  const connection = startLiveTranscription((text, isFinal) => {\n    res.write(`data: ${JSON.stringify({ text, isFinal })}\\n\\n`);\n  });\n\n  req.on('close', () => connection.finish());\n});\n```\n\n## Resources\n- [Deepgram Streaming API](https:\u002F\u002Fdevelopers.deepgram.com\u002Fdocs\u002Fstreaming)\n- [Deepgram Node SDK](https:\u002F\u002Fgithub.com\u002Fdeepgram\u002Fdeepgram-node-sdk)\n- [Deepgram Models](https:\u002F\u002Fdevelopers.deepgram.com\u002Fdocs\u002Fmodels-overview)\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale",{"name":5,"author":51,"license":14,"version":52,"description":53,"allowed-tools":54,"compatible-with":55},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Implement real-time streaming transcription with Deepgram.\nUse when building live transcription, voice interfaces,\nor real-time audio processing applications.\nTrigger with phrases like \"deepgram streaming\", \"real-time transcription\",\n\"live transcription\", \"websocket transcription\", \"voice streaming\".\n","Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep","claude-code, codex, openclaw","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","claude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fdeepgram-pack\u002Fskills\u002Fdeepgram-core-workflow-b",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add micsapp\u002Fmicstec-skills --skill deepgram-core-workflow-b",{"tool":69,"command":70},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill deepgram-core-workflow-b",{"tool":72,"command":73},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill deepgram-core-workflow-b","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fdeepgram-pack\u002Fskills\u002Fdeepgram-core-workflow-b\u002FSKILL.md",true,[],[78,113,140,159,179,204],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":92,"publishedAt":46},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. Use when discussing APIM component selection, network topology, cost optimization, or comparing alternatives like workspaces vs instances, VNet Internal vs External mode, or Front Door vs Application Gateway.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fazure-apim-architecture\u002FSKILL.md",[84,87],{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112],"architecture","azure","azure apim architecture","component","authentication","gateway","topology","Optimization","network","api","team","environment","multi-environment","workspaces","instances","selection","strategies","azure api management","mode","for",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":125,"publishedAt":46},"01M6HBT7J4H082JEEA670B3EQ9","apiops-deployment","Guides deployment of Azure API Management infrastructure using Infrastructure as Code (Bicep\u002FTerraform), CI\u002FCD pipelines (GitHub Actions\u002FAzure DevOps), and APIOps workflows. Use when deploying APIM, creating pipelines, or implementing dev→test→prod promotion strategies.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapiops-deployment\u002FSKILL.md",[119,120,123,124],{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":121,"categoryName":122,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},[126,127,128,129,94,130,44,131,132,133,134,135,102,103,109,136,137,110,138,139],"deployment","apiops deployment","workflows","azure devops","infrastructure","infrastructure as code","actions","ci","github actions","github-actions","as","guides","CI\u002FCD","implementing",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":147,"publishedAt":46},"01M6HBT2HEA23THNE9E00GYQBE","apim-policy-authoring","Creates production-ready Azure API Management policy XML for authentication (OAuth 2.0, JWT validation, subscription keys), rate limiting, CORS configuration, error handling, and API transformations. Use when implementing API security, access control, or request\u002Fresponse processing logic.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapim-policy-authoring\u002FSKILL.md",[146],{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},[148,149,150,151,94,97,102,103,152,37,153,154,155,156,33,110,157,158,139,112],"policy","authoring","apim policy authoring","security","access","ready","api security","Access Control","error","cors configuration","production-ready",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":167,"publishedAt":46},"01M6HBSY65SB29J9WE9KYD0K6T","api-security-review","Reviews Azure API Management configurations for security vulnerabilities, OWASP API Security Top 10 compliance, VNet Internal mode validation, Private Link verification, and Azure Security Benchmark alignment. Use when performing security audits, pre-deployment validation, or compliance reviews.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapi-security-review\u002FSKILL.md",[165,166],{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},[168,151,169,102,154,170,94,126,171,172,173,174,103,175,110,176,177,178,111,112],"review","security review","api security review","benchmark","verification","owasp","owasp-api","alignment","azure security","reviews","top",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":185,"publishedAt":46},"01M6HBSRW4PDFE6K4F8JYPZQ05","jira-cli","Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows. Use when the user asks about Jira tasks, tickets, issues, sprints, or needs to manage project work items.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fjira-cli\u002FSKILL.md",[],[186,187,188,128,189,190,191,192,102,193,194,195,196,197,198,199,200,201,202,203],"cli","jira","jira cli","init","tasks","create","issues","common","work","command","edit","list","view","project","project work","token","line","sprints",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":210,"publishedAt":46},"01M6HBSNS3JHMW603G47TWE31H","calculator","Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fcalculator\u002FSKILL.md",[],[206,211,212,213,214,215,216,37,217,218],"npm","js","calculate","node","math","user","compute","errors"]