[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FJHWYTT2VCN3ZF3NEPTGSK":3,"skill-same:01M6FJHWYTT2VCN3ZF3NEPTGSK":73},{"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":22,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6FJHWYTT2VCN3ZF3NEPTGSK","ln-641-pattern-analyzer",null,"Analyzes single pattern implementation, calculates compliance\u002Fcompleteness\u002Fquality scores, identifies gaps. Use when auditing a specific pattern.","boisenoise\u002Fskills-collections","boisenoise","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F193180?v=4","01M6CDBDQK6BDN55ZMA6B6PKBM","01M6CDBDVSJ3JPTBYN26FZ7TZK",12,"MIT","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Flevn-ln-641-pattern-analyzer\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"ln","analyzer","ln 641 pattern analyzer","pattern","implementation","when","gaps","single","completeness","line","hex","outline","MCP","use","read","find","grep","quality","Bash","compliance","file","graph","search","2026-11-10 10:12:30",false,"---\nname: ln-641-pattern-analyzer\ndescription: \"Analyzes single pattern implementation, calculates compliance\u002Fcompleteness\u002Fquality scores, identifies gaps. Use when auditing a specific pattern.\"\nallowed-tools: Read, Grep, Glob, Bash, mcp__hex-graph__find_implementations, mcp__hex-graph__find_symbols, mcp__hex-line__read_file, mcp__hex-line__grep_search, mcp__hex-line__outline\nlicense: MIT\n---\n\n> **Paths:** File paths (`shared\u002F`, `references\u002F`, `..\u002Fln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If `shared\u002F` is missing, fetch files via WebFetch from `https:\u002F\u002Fraw.githubusercontent.com\u002Flevnikolaevich\u002Fclaude-code-skills\u002Fmaster\u002Fskills\u002F{path}`.\n\n# Pattern Analyzer\n\n**Type:** L3 Worker\n\nL3 Worker that analyzes a single architectural pattern against best practices and calculates 4 scores.\n\n## Purpose & Scope\n- Analyze ONE pattern per invocation (receives pattern name, locations, best practices from coordinator)\n- Find all implementations in codebase (Glob\u002FGrep)\n- Validate implementation exists and works\n- Calculate 4 scores: compliance, completeness, quality, implementation\n- Identify gaps and issues with severity and effort estimates\n- Return structured analysis result to coordinator\n\n**Out of Scope** (owned by ln-624-code-quality-auditor):\n- Cyclomatic complexity thresholds (>10, >20)\n- Method\u002Fclass length thresholds (>50, >100, >500 lines)\n- Quality Score focuses on pattern-specific quality (SOLID within pattern, pattern-level smells), not generic code metrics\n\n## Inputs\n\n```\n- pattern: string          # Pattern name (e.g., \"Job Processing\")\n- locations: string[]      # Known file paths\u002Fdirectories\n- bestPractices: object    # Best practices from MCP Ref\u002FContext7\u002FWebSearch\n- output_dir: string       # e.g., \".hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Faudit-report\"\n```\n\n> **Note:** All patterns arrive pre-verified (passed ln-640 Phase 1d applicability gate with >= 2 structural components confirmed).\n\n## Workflow\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Ftwo_layer_detection.md` for detection methodology.\n**MANDATORY READ:** Load `shared\u002Freferences\u002Fmcp_tool_preferences.md` and `shared\u002Freferences\u002Fmcp_integration_patterns.md`\n\nUse `hex-graph` first when implementation discovery materially improves confidence. Use `hex-line` first for local code reads when available. If MCP is unavailable, unsupported, or not indexed, continue with built-in `Read\u002FGrep\u002FGlob\u002FBash` and state the fallback in the report.\n\n### Phase 1: Find Implementations\n\n**MANDATORY READ:** Load `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fpattern_library.md` -- use \"Pattern Detection (Grep)\" table for detection keywords per pattern.\n\n```\nIF pattern.source == \"adaptive\":\n  # Pattern discovered by coordinator Phase 1b -- evidence already provided\n  files = pattern.evidence.files\n  SKIP detection keyword search (already done in Phase 1b)\nELSE:\n  # Baseline pattern -- use library detection keywords\n  files = Glob(locations)\n  additional = Grep(\"{pattern_keywords}\", \"**\u002F*.{ts,js,py,rb,cs,java}\")\n  files = deduplicate(files + additional)\n```\n\n### Phase 2: Read and Analyze Code\n\n```\nFOR EACH file IN files (limit: 10 key files):\n  Read(file)\n  Extract: components, patterns, error handling, logging, tests\n```\n\n### Phase 3: Calculate 4 Scores\n\n**MANDATORY READ:** Load `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fscoring_rules.md` -- follow Detection column for each criterion.\n\n| Score | Source in scoring_rules.md | Max |\n|-------|---------------------------|-----|\n| Compliance | \"Compliance Score\" section -- industry standard, naming, conventions, anti-patterns | 100 |\n| Completeness | \"Completeness Score\" section -- required components table (per pattern), error handling, tests | 100 |\n| Quality | \"Quality Score\" section -- method length, complexity, code smells, SOLID | 100 |\n| Implementation | \"Implementation Score\" section -- compiles, production usage, integration, monitoring | 100 |\n\n**Scoring process for each criterion:**\n1. Run the Detection Grep\u002FGlob from scoring_rules.md\n2. If matches found -> add points per criterion\n3. If anti-pattern\u002Fsmell detected -> subtract per deduction table\n4. Document evidence: file path + line for each score justification\n\n### Phase 4: Identify Issues and Gaps\n\n```\nFOR EACH bestPractice NOT implemented:\n  issues.append({\n    severity: \"HIGH\" | \"MEDIUM\" | \"LOW\",\n    category: \"compliance\" | \"completeness\" | \"quality\" | \"implementation\",\n    issue: description,\n    suggestion: how to fix,\n    effort: \"S\" | \"M\" | \"L\"\n  })\n\n# Layer 2 context check (MANDATORY):\n# Deviation documented in code comment or ADR? -> downgrade to LOW\n# Pattern intentionally simplified for project scale? -> skip\n\n\ngaps = {\n  missingComponents: required components not found in code,\n  inconsistencies: conflicting or incomplete implementations\n}\n```\n\n### Phase 5: Calculate Score\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md` and `shared\u002Freferences\u002Faudit_scoring.md`.\n\n**Diagnostic sub-scores** (0-100 each) are calculated separately and reported in AUDIT-META for diagnostic purposes only:\n- compliance, completeness, quality, implementation\n\n### Phase 6: Write Report\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md` and `shared\u002Ftemplates\u002Faudit_worker_report_template.md`.\n\nWrite JSON summary per `shared\u002Freferences\u002Faudit_summary_contract.md`. In managed mode the caller passes both `runId` and `summaryArtifactPath`; in standalone mode the worker generates its own run-scoped artifact path per shared contract.\n\n```\n# Build pattern name slug: \"Job Processing\" -> \"job-processing\"\nslug = pattern.name.lower().replace(\" \", \"-\")\n\n# Build markdown report in memory with:\n# - AUDIT-META (extended: score [penalty-based] + diagnostic score_compliance\u002Fcompleteness\u002Fquality\u002Fimplementation)\n# - Checks table (compliance_check, completeness_check, quality_check, implementation_check)\n# - Findings table (issues sorted by severity)\n# - DATA-EXTENDED: {pattern, codeReferences, gaps, recommendations}\n\nWrite to {output_dir}\u002Fln-641--{slug}.md (atomic single Write call)\n```\n\n### Phase 7: Return Summary\n\n```\nReport written: .hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Faudit-report\u002Fln-641--job-processing.md\nScore: 7.9\u002F10 (C:72 K:85 Q:68 I:90) | Issues: 3 (H:1 M:2 L:0)\n```\n\n## Critical Rules\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- **One pattern only:** Analyze only the pattern passed by coordinator\n- **Read before score:** Never score without reading actual code\n- **Detection-based scoring:** Use Grep\u002FGlob patterns from scoring_rules.md, not assumptions\n- **Effort estimates:** Always provide S\u002FM\u002FL for each issue\n- **Code references:** Always include file paths for findings\n\n## Definition of Done\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- [ ] All implementations found via Glob\u002FGrep (using pattern_library.md keywords or adaptive evidence)\n- [ ] Key files read and analyzed\n- [ ] 4 scores calculated using scoring_rules.md Detection patterns\n- [ ] Issues identified with severity, category, suggestion, effort\n- [ ] Gaps documented (missing components, inconsistencies)\n- [ ] Recommendations provided\n- [ ] Report written to `{output_dir}\u002Fln-641--{slug}.md` (atomic single Write call)\n- [ ] Summary written per contract\n\n## Reference Files\n\n- Scoring rules: `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fscoring_rules.md`\n- Pattern library: `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fpattern_library.md`\n- **MANDATORY READ:** Load `shared\u002Freferences\u002Fresearch_tool_fallback.md`\n\n---\n**Version:** 2.0.0\n**Last Updated:** 2026-02-08\n","> **Paths:** File paths (`shared\u002F`, `references\u002F`, `..\u002Fln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If `shared\u002F` is missing, fetch files via WebFetch from `https:\u002F\u002Fraw.githubusercontent.com\u002Flevnikolaevich\u002Fclaude-code-skills\u002Fmaster\u002Fskills\u002F{path}`.\n\n# Pattern Analyzer\n\n**Type:** L3 Worker\n\nL3 Worker that analyzes a single architectural pattern against best practices and calculates 4 scores.\n\n## Purpose & Scope\n- Analyze ONE pattern per invocation (receives pattern name, locations, best practices from coordinator)\n- Find all implementations in codebase (Glob\u002FGrep)\n- Validate implementation exists and works\n- Calculate 4 scores: compliance, completeness, quality, implementation\n- Identify gaps and issues with severity and effort estimates\n- Return structured analysis result to coordinator\n\n**Out of Scope** (owned by ln-624-code-quality-auditor):\n- Cyclomatic complexity thresholds (>10, >20)\n- Method\u002Fclass length thresholds (>50, >100, >500 lines)\n- Quality Score focuses on pattern-specific quality (SOLID within pattern, pattern-level smells), not generic code metrics\n\n## Inputs\n\n```\n- pattern: string          # Pattern name (e.g., \"Job Processing\")\n- locations: string[]      # Known file paths\u002Fdirectories\n- bestPractices: object    # Best practices from MCP Ref\u002FContext7\u002FWebSearch\n- output_dir: string       # e.g., \".hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Faudit-report\"\n```\n\n> **Note:** All patterns arrive pre-verified (passed ln-640 Phase 1d applicability gate with >= 2 structural components confirmed).\n\n## Workflow\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Ftwo_layer_detection.md` for detection methodology.\n**MANDATORY READ:** Load `shared\u002Freferences\u002Fmcp_tool_preferences.md` and `shared\u002Freferences\u002Fmcp_integration_patterns.md`\n\nUse `hex-graph` first when implementation discovery materially improves confidence. Use `hex-line` first for local code reads when available. If MCP is unavailable, unsupported, or not indexed, continue with built-in `Read\u002FGrep\u002FGlob\u002FBash` and state the fallback in the report.\n\n### Phase 1: Find Implementations\n\n**MANDATORY READ:** Load `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fpattern_library.md` -- use \"Pattern Detection (Grep)\" table for detection keywords per pattern.\n\n```\nIF pattern.source == \"adaptive\":\n  # Pattern discovered by coordinator Phase 1b -- evidence already provided\n  files = pattern.evidence.files\n  SKIP detection keyword search (already done in Phase 1b)\nELSE:\n  # Baseline pattern -- use library detection keywords\n  files = Glob(locations)\n  additional = Grep(\"{pattern_keywords}\", \"**\u002F*.{ts,js,py,rb,cs,java}\")\n  files = deduplicate(files + additional)\n```\n\n### Phase 2: Read and Analyze Code\n\n```\nFOR EACH file IN files (limit: 10 key files):\n  Read(file)\n  Extract: components, patterns, error handling, logging, tests\n```\n\n### Phase 3: Calculate 4 Scores\n\n**MANDATORY READ:** Load `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fscoring_rules.md` -- follow Detection column for each criterion.\n\n| Score | Source in scoring_rules.md | Max |\n|-------|---------------------------|-----|\n| Compliance | \"Compliance Score\" section -- industry standard, naming, conventions, anti-patterns | 100 |\n| Completeness | \"Completeness Score\" section -- required components table (per pattern), error handling, tests | 100 |\n| Quality | \"Quality Score\" section -- method length, complexity, code smells, SOLID | 100 |\n| Implementation | \"Implementation Score\" section -- compiles, production usage, integration, monitoring | 100 |\n\n**Scoring process for each criterion:**\n1. Run the Detection Grep\u002FGlob from scoring_rules.md\n2. If matches found -> add points per criterion\n3. If anti-pattern\u002Fsmell detected -> subtract per deduction table\n4. Document evidence: file path + line for each score justification\n\n### Phase 4: Identify Issues and Gaps\n\n```\nFOR EACH bestPractice NOT implemented:\n  issues.append({\n    severity: \"HIGH\" | \"MEDIUM\" | \"LOW\",\n    category: \"compliance\" | \"completeness\" | \"quality\" | \"implementation\",\n    issue: description,\n    suggestion: how to fix,\n    effort: \"S\" | \"M\" | \"L\"\n  })\n\n# Layer 2 context check (MANDATORY):\n# Deviation documented in code comment or ADR? -> downgrade to LOW\n# Pattern intentionally simplified for project scale? -> skip\n\n\ngaps = {\n  missingComponents: required components not found in code,\n  inconsistencies: conflicting or incomplete implementations\n}\n```\n\n### Phase 5: Calculate Score\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md` and `shared\u002Freferences\u002Faudit_scoring.md`.\n\n**Diagnostic sub-scores** (0-100 each) are calculated separately and reported in AUDIT-META for diagnostic purposes only:\n- compliance, completeness, quality, implementation\n\n### Phase 6: Write Report\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md` and `shared\u002Ftemplates\u002Faudit_worker_report_template.md`.\n\nWrite JSON summary per `shared\u002Freferences\u002Faudit_summary_contract.md`. In managed mode the caller passes both `runId` and `summaryArtifactPath`; in standalone mode the worker generates its own run-scoped artifact path per shared contract.\n\n```\n# Build pattern name slug: \"Job Processing\" -> \"job-processing\"\nslug = pattern.name.lower().replace(\" \", \"-\")\n\n# Build markdown report in memory with:\n# - AUDIT-META (extended: score [penalty-based] + diagnostic score_compliance\u002Fcompleteness\u002Fquality\u002Fimplementation)\n# - Checks table (compliance_check, completeness_check, quality_check, implementation_check)\n# - Findings table (issues sorted by severity)\n# - DATA-EXTENDED: {pattern, codeReferences, gaps, recommendations}\n\nWrite to {output_dir}\u002Fln-641--{slug}.md (atomic single Write call)\n```\n\n### Phase 7: Return Summary\n\n```\nReport written: .hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Faudit-report\u002Fln-641--job-processing.md\nScore: 7.9\u002F10 (C:72 K:85 Q:68 I:90) | Issues: 3 (H:1 M:2 L:0)\n```\n\n## Critical Rules\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- **One pattern only:** Analyze only the pattern passed by coordinator\n- **Read before score:** Never score without reading actual code\n- **Detection-based scoring:** Use Grep\u002FGlob patterns from scoring_rules.md, not assumptions\n- **Effort estimates:** Always provide S\u002FM\u002FL for each issue\n- **Code references:** Always include file paths for findings\n\n## Definition of Done\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- [ ] All implementations found via Glob\u002FGrep (using pattern_library.md keywords or adaptive evidence)\n- [ ] Key files read and analyzed\n- [ ] 4 scores calculated using scoring_rules.md Detection patterns\n- [ ] Issues identified with severity, category, suggestion, effort\n- [ ] Gaps documented (missing components, inconsistencies)\n- [ ] Recommendations provided\n- [ ] Report written to `{output_dir}\u002Fln-641--{slug}.md` (atomic single Write call)\n- [ ] Summary written per contract\n\n## Reference Files\n\n- Scoring rules: `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fscoring_rules.md`\n- Pattern library: `..\u002Fln-640-pattern-evolution-auditor\u002Freferences\u002Fpattern_library.md`\n- **MANDATORY READ:** Load `shared\u002Freferences\u002Fresearch_tool_fallback.md`\n\n---\n**Version:** 2.0.0\n**Last Updated:** 2026-02-08\n",{"name":5,"license":14,"description":7,"allowed-tools":51},"Read, Grep, Glob, Bash, mcp__hex-graph__find_implementations, mcp__hex-graph__find_symbols, mcp__hex-line__read_file, mcp__hex-line__grep_search, mcp__hex-line__outline","main","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Flevn-ln-641-pattern-analyzer",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-12 14:21:24",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add boisenoise\u002Fskills-collections --skill ln-641-pattern-analyzer",{"tool":65,"command":66},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill ln-641-pattern-analyzer",{"tool":68,"command":69},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill ln-641-pattern-analyzer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Flevn-ln-641-pattern-analyzer\u002FSKILL.md",true,[],[74,101,123,149,168,191],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":79,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":46},"01M6WNH92BHVFXHGPDZCPJ0AG0","web-access","Use Treg for public web or platform data only when existing search, browser and connected tools cannot cover the task, with explicit cost and data boundaries.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FSKILL.md",[],[83,84,85,86,87,88,45,89,90,37,91,92,93,94,95,96,97,98,99,28,100],"web","access","web access","official","development","browser","data","Tools","fetch","only","youtube","free tools","platform","critical","free","cover","normal","2026",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":105,"sourceHtmlUrl":106,"categories":107,"keywords":109,"publishedAt":46},"01M6WNF9XAYAB2CZDDJBAKNM93","treg","Use the Treg CLI or MCP catalog to discover, price and call authorized external tools with team-scoped credentials and a user-approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FSKILL.md",[108],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[103,35,110,111,86,87,112,90,113,114,115,116,36,117,118,96,119,120,121,122,100],"cli","github","license","Budget","credentials","team","catalog","call","discover","external tools","with","scoped","blob",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":127,"sourceHtmlUrl":128,"categories":129,"keywords":135,"publishedAt":46},"01M6WN93MEAZ4E41DYAHJRPHQT","recruit","Turn a job description into an evidence-linked candidate shortlist through Treg, with job-related ranking and optional authorized business contact enrichment.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FSKILL.md",[130],{"categoryNo":131,"categoryName":132,"taxonomyType":133,"taxonomyTypeDesc":134},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[125,111,86,112,136,137,138,139,140,141,96,142,143,144,120,145,146,147,148,122,103,100],"https","email","enrichment","business","evidence","phone","ranking","post","job description","for","person","candidate","reason",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":153,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":46},"01M6WN8R5RXSMHM9B4D9FAFX42","rea-growth","Analyze a company’s public growth and content through Treg, distinguish observations from hypotheses, and produce an evidence-linked playbook within an approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FSKILL.md",[],[157,158,159,111,86,112,160,161,136,162,113,163,164,165,140,96,166,167,122,103,100],"growth","rea","rea 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ugc","research","create","Video","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":195,"sourceHtmlUrl":196,"categories":197,"keywords":198,"publishedAt":46},"01M6WN10ARAA63Y8K1YNGXJ2RM","lead-signals","Find and qualify public buying signals through Treg, rank fitting business accounts and optionally enrich authorized business contact 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