[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FJGAB9KF520DFHC03H2QRJ":3,"skill-same:01M6FJGAB9KF520DFHC03H2QRJ":74},{"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":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":59,"install":60,"resources":73},"01M6FJGAB9KF520DFHC03H2QRJ","ln-627-observability-auditor",null,"Checks structured logging, health checks, metrics collection, request tracing, log levels. Use when auditing observability.","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-627-observability-auditor\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"observability","auditor","ln","ln 627 observability auditor","when","MCP","request","structured logging","paths","line","hex","outline","references","log","use","read","find","grep","Bash","health","collection","tracing","file","search","2026-11-10 10:12:30",false,"---\nname: ln-627-observability-auditor\ndescription: \"Checks structured logging, health checks, metrics collection, request tracing, log levels. Use when auditing observability.\"\nallowed-tools: Read, Grep, Glob, Bash, mcp__hex-graph__find_references, mcp__hex-graph__trace_paths, 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# Observability Auditor (L3 Worker)\n\n**Type:** L3 Worker\n\nSpecialized worker auditing logging, monitoring, and observability.\n\n## Purpose & Scope\n\n- Audit **observability** (Category 10: Medium Priority)\n- Check logging, health checks, metrics, tracing\n- Calculate compliance score (X\u002F10)\n\n## Inputs\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n**MANDATORY READ:** Load `shared\u002Freferences\u002Fmcp_tool_preferences.md` and `shared\u002Freferences\u002Fmcp_integration_patterns.md`\n\nReceives `contextStore` with tech stack, framework, codebase root, output_dir.\n\nUse `hex-graph` first when traces, call paths, or cross-file references materially improve the audit. 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## Workflow\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Ftwo_layer_detection.md` for detection methodology.\n\n1) Parse context + output_dir\n2) **Determine project type (Layer 2 pre-check):** Is this a web service (all checks apply), CLI tool (health\u002Fprobes not applicable), or library (most checks optional)? Adjust applicable checks accordingly.\n3) Check observability patterns (Layer 1: grep)\n4) Analyze context per candidate (Layer 2):\n   - Structured logging: is this a library (no logging OK) or a service (logging required)?\n   - Health endpoints: web service -> required. CLI\u002Flibrary -> skip\n   - Request tracing: monolith -> less needed. Microservice -> critical\n5) Collect confirmed findings\n6) Calculate score\n7) **Write Report:** Build full markdown report in memory per `shared\u002Ftemplates\u002Faudit_worker_report_template.md`, write to `{output_dir}\u002Fln-627--global.md` in single Write call\n8) **Return Summary:** Return minimal summary to coordinator\n\n## Audit Rules\n\n### 1. Structured Logging\n**Detection:**\n- Grep for `console.log` (unstructured)\n- Check for proper logger: winston, pino, logrus, zap\n\n**Severity:**\n- **MEDIUM:** Production code using console.log\n- **LOW:** Dev code using console.log\n\n**Recommendation:** Use structured logger (winston, pino)\n\n**Effort:** M (add logger, replace calls)\n\n### 2. Health Check Endpoints\n**Detection:**\n- Grep for `\u002Fhealth`, `\u002Fready`, `\u002Flive` routes\n- Check API route definitions\n\n**Severity:**\n- **HIGH:** No health check endpoint (monitoring blind spot)\n\n**Recommendation:** Add `\u002Fhealth` endpoint\n\n**Effort:** S (add simple route)\n\n### 3. Metrics Collection\n**Detection:**\n- Check for Prometheus client, StatsD, CloudWatch\n- Grep for metric recording: `histogram`, `counter`\n\n**Severity:**\n- **MEDIUM:** No metrics instrumentation\n\n**Recommendation:** Add Prometheus metrics\n\n**Effort:** M (instrument code)\n\n### 4. Request Tracing\n**Detection:**\n- Check for correlation IDs in logs\n- Verify trace propagation (OpenTelemetry, Zipkin)\n\n**Severity:**\n- **MEDIUM:** No correlation IDs (hard to debug distributed systems)\n\n**Recommendation:** Add request ID middleware\n\n**Effort:** M (add middleware, propagate IDs)\n\n### 5. Log Levels\n**Detection:**\n- Check if logger supports levels (info, warn, error, debug)\n- Verify proper level usage\n\n**Severity:**\n- **LOW:** Only error logging (insufficient visibility)\n\n**Recommendation:** Add info\u002Fdebug logs\n\n**Effort:** S (add log statements)\n\n## Scoring Algorithm\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md` and `shared\u002Freferences\u002Faudit_scoring.md`.\n\n## Output Format\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\nWrite report to `{output_dir}\u002Fln-627--global.md` with `category: \"Observability\"` and checks: structured_logging, health_endpoints, metrics_collection, request_tracing, log_levels.\n\nReturn summary per `shared\u002Freferences\u002Faudit_summary_contract.md`.\n\nWhen `summaryArtifactPath` is absent, write the standalone runtime summary under `.hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Fevaluation-worker\u002F{worker}--{identifier}.json` and optionally echo the same summary in structured output.\n```\nReport written: .hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Faudit-report\u002Fln-627--global.md\nScore: X.X\u002F10 | Issues: N (C:N H:N M:N L:N)\n```\n\n## Reference Files\n\n- **Audit output schema:** `shared\u002Freferences\u002Faudit_output_schema.md`\n\n## Critical Rules\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- **Do not auto-fix:** Report only, never inject logging or endpoints\n- **Framework-aware detection:** Adapt patterns to project's tech stack (winston\u002Fpino for Node, logrus\u002Fzap for Go, etc.)\n- **Effort realism:** S = \u003C1h, M = 1-4h, L = >4h\n- **Exclusions:** Skip test files for console.log detection, skip dev-only scripts\n- **Context-sensitive severity:** console.log in production code = MEDIUM, in dev utilities = LOW\n\n## Definition of Done\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- [ ] contextStore parsed (tech stack, framework, output_dir)\n- [ ] All 5 checks completed (structured logging, health endpoints, metrics, request tracing, log levels)\n- [ ] Findings collected with severity, location, effort, recommendation\n- [ ] Score calculated per `shared\u002Freferences\u002Faudit_scoring.md`\n- [ ] Report written to `{output_dir}\u002Fln-627--global.md` (atomic single Write call)\n- [ ] Summary written per contract\n\n---\n**Version:** 3.0.0\n**Last Updated:** 2025-12-23\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# Observability Auditor (L3 Worker)\n\n**Type:** L3 Worker\n\nSpecialized worker auditing logging, monitoring, and observability.\n\n## Purpose & Scope\n\n- Audit **observability** (Category 10: Medium Priority)\n- Check logging, health checks, metrics, tracing\n- Calculate compliance score (X\u002F10)\n\n## Inputs\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n**MANDATORY READ:** Load `shared\u002Freferences\u002Fmcp_tool_preferences.md` and `shared\u002Freferences\u002Fmcp_integration_patterns.md`\n\nReceives `contextStore` with tech stack, framework, codebase root, output_dir.\n\nUse `hex-graph` first when traces, call paths, or cross-file references materially improve the audit. 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## Workflow\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Ftwo_layer_detection.md` for detection methodology.\n\n1) Parse context + output_dir\n2) **Determine project type (Layer 2 pre-check):** Is this a web service (all checks apply), CLI tool (health\u002Fprobes not applicable), or library (most checks optional)? Adjust applicable checks accordingly.\n3) Check observability patterns (Layer 1: grep)\n4) Analyze context per candidate (Layer 2):\n   - Structured logging: is this a library (no logging OK) or a service (logging required)?\n   - Health endpoints: web service -> required. CLI\u002Flibrary -> skip\n   - Request tracing: monolith -> less needed. Microservice -> critical\n5) Collect confirmed findings\n6) Calculate score\n7) **Write Report:** Build full markdown report in memory per `shared\u002Ftemplates\u002Faudit_worker_report_template.md`, write to `{output_dir}\u002Fln-627--global.md` in single Write call\n8) **Return Summary:** Return minimal summary to coordinator\n\n## Audit Rules\n\n### 1. Structured Logging\n**Detection:**\n- Grep for `console.log` (unstructured)\n- Check for proper logger: winston, pino, logrus, zap\n\n**Severity:**\n- **MEDIUM:** Production code using console.log\n- **LOW:** Dev code using console.log\n\n**Recommendation:** Use structured logger (winston, pino)\n\n**Effort:** M (add logger, replace calls)\n\n### 2. Health Check Endpoints\n**Detection:**\n- Grep for `\u002Fhealth`, `\u002Fready`, `\u002Flive` routes\n- Check API route definitions\n\n**Severity:**\n- **HIGH:** No health check endpoint (monitoring blind spot)\n\n**Recommendation:** Add `\u002Fhealth` endpoint\n\n**Effort:** S (add simple route)\n\n### 3. Metrics Collection\n**Detection:**\n- Check for Prometheus client, StatsD, CloudWatch\n- Grep for metric recording: `histogram`, `counter`\n\n**Severity:**\n- **MEDIUM:** No metrics instrumentation\n\n**Recommendation:** Add Prometheus metrics\n\n**Effort:** M (instrument code)\n\n### 4. Request Tracing\n**Detection:**\n- Check for correlation IDs in logs\n- Verify trace propagation (OpenTelemetry, Zipkin)\n\n**Severity:**\n- **MEDIUM:** No correlation IDs (hard to debug distributed systems)\n\n**Recommendation:** Add request ID middleware\n\n**Effort:** M (add middleware, propagate IDs)\n\n### 5. Log Levels\n**Detection:**\n- Check if logger supports levels (info, warn, error, debug)\n- Verify proper level usage\n\n**Severity:**\n- **LOW:** Only error logging (insufficient visibility)\n\n**Recommendation:** Add info\u002Fdebug logs\n\n**Effort:** S (add log statements)\n\n## Scoring Algorithm\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md` and `shared\u002Freferences\u002Faudit_scoring.md`.\n\n## Output Format\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\nWrite report to `{output_dir}\u002Fln-627--global.md` with `category: \"Observability\"` and checks: structured_logging, health_endpoints, metrics_collection, request_tracing, log_levels.\n\nReturn summary per `shared\u002Freferences\u002Faudit_summary_contract.md`.\n\nWhen `summaryArtifactPath` is absent, write the standalone runtime summary under `.hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Fevaluation-worker\u002F{worker}--{identifier}.json` and optionally echo the same summary in structured output.\n```\nReport written: .hex-skills\u002Fruntime-artifacts\u002Fruns\u002F{run_id}\u002Faudit-report\u002Fln-627--global.md\nScore: X.X\u002F10 | Issues: N (C:N H:N M:N L:N)\n```\n\n## Reference Files\n\n- **Audit output schema:** `shared\u002Freferences\u002Faudit_output_schema.md`\n\n## Critical Rules\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- **Do not auto-fix:** Report only, never inject logging or endpoints\n- **Framework-aware detection:** Adapt patterns to project's tech stack (winston\u002Fpino for Node, logrus\u002Fzap for Go, etc.)\n- **Effort realism:** S = \u003C1h, M = 1-4h, L = >4h\n- **Exclusions:** Skip test files for console.log detection, skip dev-only scripts\n- **Context-sensitive severity:** console.log in production code = MEDIUM, in dev utilities = LOW\n\n## Definition of Done\n\n**MANDATORY READ:** Load `shared\u002Freferences\u002Faudit_worker_core_contract.md`.\n\n- [ ] contextStore parsed (tech stack, framework, output_dir)\n- [ ] All 5 checks completed (structured logging, health endpoints, metrics, request tracing, log levels)\n- [ ] Findings collected with severity, location, effort, recommendation\n- [ ] Score calculated per `shared\u002Freferences\u002Faudit_scoring.md`\n- [ ] Report written to `{output_dir}\u002Fln-627--global.md` (atomic single Write call)\n- [ ] Summary written per contract\n\n---\n**Version:** 3.0.0\n**Last Updated:** 2025-12-23\n",{"name":5,"license":14,"description":7,"allowed-tools":52},"Read, Grep, Glob, Bash, mcp__hex-graph__find_references, mcp__hex-graph__trace_paths, mcp__hex-line__read_file, mcp__hex-line__grep_search, mcp__hex-line__outline","main","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Flevn-ln-627-observability-auditor",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-11 14:20:43",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add boisenoise\u002Fskills-collections --skill ln-627-observability-auditor",{"tool":66,"command":67},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill ln-627-observability-auditor",{"tool":69,"command":70},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill ln-627-observability-auditor","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Flevn-ln-627-observability-auditor\u002FSKILL.md",true,[],[75,102,124,150,169,192],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":80,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":47},"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",[],[84,85,86,87,88,89,46,90,91,38,92,93,94,95,96,97,98,99,100,27,101],"web","access","web access","official","development","browser","data","Tools","fetch","only","youtube","free tools","platform","critical","free","cover","normal","2026",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":106,"sourceHtmlUrl":107,"categories":108,"keywords":110,"publishedAt":47},"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",[109],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[104,28,111,112,87,88,113,91,114,115,116,117,37,118,119,97,120,121,122,123,101],"cli","github","license","Budget","credentials","team","catalog","call","discover","external tools","with","scoped","blob",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":128,"sourceHtmlUrl":129,"categories":130,"keywords":136,"publishedAt":47},"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",[131],{"categoryNo":132,"categoryName":133,"taxonomyType":134,"taxonomyTypeDesc":135},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[126,112,87,113,137,138,139,140,141,142,97,143,144,145,121,146,147,148,149,123,104,101],"https","email","enrichment","business","evidence","phone","ranking","post","job description","for","person","candidate","reason",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":154,"sourceHtmlUrl":155,"categories":156,"keywords":157,"publishedAt":47},"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",[],[158,159,160,112,87,113,161,162,137,163,114,164,165,166,141,97,167,168,123,104,101],"growth","rea","rea growth","produce","content","playbook","marketing","analyze","public","observations","company",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":173,"sourceHtmlUrl":174,"categories":175,"keywords":176,"publishedAt":47},"01M6WN2EVE3RQRGWAKBT4S7YT2","make-ugc","Create original AI UGC-style product videos through Treg: research hooks, approve a licensed presenter and voice, generate clips, add captions and report costs.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FSKILL.md",[],[177,178,112,179,87,180,113,181,182,183,184,185,97,186,187,188,189,190,191,123],"make","make ugc","research","create","Video","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":79,"licenseFileUrl":196,"sourceHtmlUrl":197,"categories":198,"keywords":199,"publishedAt":47},"01M6WN10ARAA63Y8K1YNGXJ2RM","lead-signals","Find and qualify public buying signals through Treg, rank fitting business accounts and optionally enrich authorized business contact information.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FSKILL.md",[],[200,201,202,112,87,113,203,39,140,204,205,97,206,207,208,209,210,211,212,123],"signals","lead","lead signals","how","ready","as","how to","qualify","people","information","enrich","changes","funding"]