[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mshadmanrahman-meta-observer-zh-CN":3,"guides-for-mshadmanrahman-meta-observer":505,"similar-k172jnxq28h65x6zn1p19r731586md2x-zh-CN":506},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":244,"isFallback":226,"parentExtension":249,"providers":250,"relations":255,"repo":257,"tags":502,"workflow":503},1778694240519.7402,"k172jnxq28h65x6zn1p19r731586md2x",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Track skill performance and emerging patterns",{"claudeCode":12},"mshadmanrahman/pm-pilot","meta-observer","https://github.com/mshadmanrahman/pm-pilot",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":224,"workflow":242},1778694605108.1304,"kn78bvmv9w90j66w3yan01r1mh86ngf6","en",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"promptVersionExtension":205,"promptVersionScoring":206,"purpose":207,"rationale":208,"score":209,"summary":210,"tags":211,"targetMarket":217,"tier":218,"useCases":219},[21,26,29,32,36,39,43,47,50,53,57,61,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description \"Track skill performance and emerging patterns\" clearly states the problem of understanding how skills are being used and identifying areas for improvement.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill actively tracks and analyzes skill usage, outcomes, and emerging patterns, providing insights beyond default LLM behavior.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill is designed for workflow integration, logging observations and detecting patterns, covering a complete lifecycle of skill usage analysis.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses solely on tracking and analyzing skill performance and patterns, adhering to a single responsibility.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The provided description accurately and concisely reflects the skill's purpose of tracking and analyzing skill performance and patterns.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The skill uses specific logging and pattern detection mechanisms rather than a single generalist tool.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","The SKILL.md file clearly documents the output format and provides specific instructions for logging and pattern detection.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","The skill name 'meta-observer' and its associated triggers are descriptive and relevant to its function.",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","The skill's inputs (triggers, session data) and outputs (log file, surfaced insights) are focused and directly related to its purpose.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The extension is licensed under the MIT license, which is a permissive open-source license.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The last commit was on April 18, 2026, well within the last 3 months.",{"category":58,"check":62,"severity":63,"summary":64},"Dependency Management","not_applicable","The skill does not appear to use any third-party dependencies.",{"category":66,"check":67,"severity":63,"summary":68},"Security","Secret Management","The skill does not handle or expose any secrets.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill focuses on logging and analysis, with no indication of loading or executing untrusted third-party data as instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill does not fetch external files at runtime or execute remote code.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill operates by logging to a local file within a predefined directory and does not modify files outside its designated scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","The skill's procedure does not involve detached process spawns or retry loops around denied calls.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill logs internal performance data and does not submit any confidential user data to third parties.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks and uses clean, printable characters.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's procedure is written in plain markdown and does not involve obfuscated code or runtime execution of downloaded scripts.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill correctly assumes the presence of a `.claude/logs/` directory and instructs its creation if missing.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","The repository has 1 open issue and 0 closed issues in the last 90 days, indicating good maintainer engagement.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The skill has a `version: 1.0.0` in its frontmatter and a CHANGELOG.md, indicating clear versioning.",{"category":104,"check":105,"severity":24,"summary":106},"Code Execution","Validation","The skill's procedure specifies expected input formats for logging and pattern detection, implying validation.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill's primary operation is logging, which is not a destructive operation.",{"category":104,"check":111,"severity":24,"summary":112},"Error Handling","The skill's rules emphasize logging and reporting patterns, implying structured handling of observations.",{"category":104,"check":114,"severity":24,"summary":115},"Logging","The skill explicitly logs observations to a local audit file (`.claude/logs/skill-observations.md`), capturing a structured audit record.",{"category":117,"check":118,"severity":24,"summary":119},"Compliance","GDPR","The skill tracks internal performance metrics and does not operate on personal data.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The skill's functionality is general and not tied to any specific geographic or legal jurisdiction.",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","The skill's operations are based on markdown logging and pattern detection, which are portable across standard environments.",{"category":44,"check":127,"severity":24,"summary":128},"README","The README file clearly states the extension's purpose as an AI product management co-pilot and includes relevant details.",{"category":33,"check":130,"severity":63,"summary":131},"Tool surface size","This is a single-tool skill with a defined procedure, not a collection of multiple distinct tools.",{"category":40,"check":133,"severity":63,"summary":134},"Overlapping near-synonym tools","This is a single-tool skill and does not expose multiple tools with overlapping functionality.",{"category":44,"check":136,"severity":24,"summary":137},"Phantom features","All advertised features in the README and SKILL.md, such as tracking skill usage and detecting patterns, are implemented in the skill's procedure.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","The README provides clear installation instructions for various levels, including copy-paste examples for Claude Code.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","The skill provides guidance on how to handle missing directories and offers suggestions for improving skill usage, indicating actionable error messages.",{"category":147,"check":148,"severity":63,"summary":149},"Execution","Pinned dependencies","The skill does not rely on third-party dependencies and does not bundle scripts requiring specific interpreters.",{"category":33,"check":151,"severity":63,"summary":152},"Dry-run preview","The skill's primary function is logging and analysis, which are not state-changing or outbound operations requiring a dry-run.",{"category":154,"check":155,"severity":63,"summary":156},"Protocol","Idempotent retry & timeouts","The skill's operations are local logging and analysis, not involving remote calls or state-changing mutations.",{"category":117,"check":158,"severity":24,"summary":159},"Telemetry opt-in","The skill's logging is internal and opt-in by nature, with no indication of external telemetry collection.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The skill's purpose is precisely defined to track skill performance and emerging patterns, with clear triggers and a defined procedure.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The frontmatter is concise and clearly states the skill's purpose and triggers.",{"category":44,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md body is concise and delegates deeper material to separate files and examples.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The SKILL.md outlines the procedure clearly and does not embed large amounts of third-party material.",{"category":170,"check":174,"severity":63,"summary":175},"Forked exploration","This skill is focused on logging and analysis and does not involve deep exploration that would require forking.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The README provides clear examples of how to use the skill, including specific prompts and expected outcomes.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill handles edge cases such as creating the log directory if it doesn't exist and provides guidance on interpreting patterns.",{"category":104,"check":183,"severity":63,"summary":184},"Tool Fallback","The skill does not rely on external MCP servers and uses only Claude-internal tools.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill's procedure is designed to log observations and detect patterns without relying on specific pre-states that could halt the workflow.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills being loaded.",1778694604999,"This skill tracks skill invocation, outcomes, and emerging patterns to help users understand and refine their AI agent workflows. It logs observations to a local file and surfaces insights about skill usage, correction rates, and potential improvements.",[195,196,197,198,199],"Track skill usage and performance","Log observations to a local file","Detect emerging patterns in skill usage","Surface insights on skill effectiveness","Provide suggestions for improvement",[201,202,203,204],"Blocking workflow for observation","Deleting observation log entries","Including internal observations in external documentation","Operating on personal data","3.0.0","4.4.0","To provide users with insights into how their AI skills are performing, enabling them to optimize usage and identify areas for refinement.","All checks passed with high severity, indicating a well-designed and documented skill.",100,"A high-quality skill for tracking and analyzing skill performance.",[212,213,214,215,216],"monitoring","analytics","productivity","logging","skills","global","verified",[220,221,222,223],"Reviewing weekly skill usage","Identifying skills that are frequently corrected","Finding unused skills for potential removal","Detecting trigger mismatches and suggesting improvements",{"codeQuality":225,"collectedAt":227,"documentation":228,"maintenance":231,"popularity":237,"security":238,"testCoverage":241},{"hasLockfile":226},true,1778694593471,{"descriptionLength":229,"readmeSize":230},45,19143,{"closedIssues90d":8,"forks":232,"hasChangelog":226,"manifestVersion":233,"openIssues90d":234,"pushedAt":235,"stars":236},4,"1.0.0",1,1776549978000,10,{"npmDownloads":8},{"hasNpmPackage":226,"license":239,"smitheryVerified":240},"MIT",false,{"hasCi":240,"hasTests":240},{"updatedAt":243},1778694605108,{"basePath":245,"githubOwner":246,"githubRepo":247,"locale":18,"slug":13,"type":248},"skills/productivity/meta-observer","mshadmanrahman","pm-pilot","skill",null,{"evaluate":251,"extract":253},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":252,"targetMarket":217,"tier":218},[212,213,214,215,216],{"commitSha":254},"HEAD",{"repoId":256},"kd728wqst6vwd95ymycxb97nrx86mnsn",{"_creationTime":258,"_id":256,"identity":259,"providers":260,"workflow":497},1778694234559.4905,{"githubOwner":246,"githubRepo":247,"sourceUrl":14},{"classify":261,"discover":470,"extract":473,"github":474,"npm":496},{"commitSha":254,"extensions":262},[263,273,281,289,297,305,313,321,329,337,345,353,361,369,377,385,393,401,409,417,425,433,441,446,454,462],{"basePath":264,"description":265,"displayName":264,"installMethods":266,"rationale":267,"selectedPaths":268,"source":272,"sourceLanguage":18,"type":248},"configure-pm-pilot","Interactive setup wizard for PM Pilot. Detects MCP tools, sets company name, creates memory template, validates installation.",{"claudeCode":12},"SKILL.md frontmatter at configure-pm-pilot/SKILL.md",[269],{"path":270,"priority":271},"SKILL.md","mandatory","rule",{"basePath":274,"description":275,"displayName":276,"installMethods":277,"rationale":278,"selectedPaths":279,"source":272,"sourceLanguage":18,"type":248},"skills/content/market-research","Competitive analysis and market research with source attribution. Parallel fan-out across web, review sites, and news. Triggers on: \"market research\", \"competitive analysis\", \"competitor comparison\".\n","market-research",{"claudeCode":12},"SKILL.md frontmatter at skills/content/market-research/SKILL.md",[280],{"path":270,"priority":271},{"basePath":282,"description":283,"displayName":284,"installMethods":285,"rationale":286,"selectedPaths":287,"source":272,"sourceLanguage":18,"type":248},"skills/content/writing-style","Voice profile configuration and application for consistent writing. Configure once with 2-3 samples, apply everywhere. Triggers on: \"writing style\", \"voice profile\", \"apply my voice\", writing long-form content.\n","writing-style",{"claudeCode":12},"SKILL.md frontmatter at skills/content/writing-style/SKILL.md",[288],{"path":270,"priority":271},{"basePath":290,"description":291,"displayName":292,"installMethods":293,"rationale":294,"selectedPaths":295,"source":272,"sourceLanguage":18,"type":248},"skills/content/writing-substack","Platform-optimized Substack Notes creation. 500-char limit, hook-driven, engagement-focused. Triggers on: \"write a Substack Note\", \"Substack content\", \"Note ideas\".\n","writing-substack",{"claudeCode":12},"SKILL.md frontmatter at skills/content/writing-substack/SKILL.md",[296],{"path":270,"priority":271},{"basePath":298,"description":299,"displayName":300,"installMethods":301,"rationale":302,"selectedPaths":303,"source":272,"sourceLanguage":18,"type":248},"skills/dev/search-first","Research existing solutions before writing custom code","search-first",{"claudeCode":12},"SKILL.md frontmatter at skills/dev/search-first/SKILL.md",[304],{"path":270,"priority":271},{"basePath":306,"description":307,"displayName":308,"installMethods":309,"rationale":310,"selectedPaths":311,"source":272,"sourceLanguage":18,"type":248},"skills/dev/security-review","Security checklist for code changes with severity classification","security-review",{"claudeCode":12},"SKILL.md frontmatter at skills/dev/security-review/SKILL.md",[312],{"path":270,"priority":271},{"basePath":314,"description":315,"displayName":316,"installMethods":317,"rationale":318,"selectedPaths":319,"source":272,"sourceLanguage":18,"type":248},"skills/dev/tdd-workflow","Test-driven development enforcement with RED-GREEN-IMPROVE cycle","tdd-workflow",{"claudeCode":12},"SKILL.md frontmatter at skills/dev/tdd-workflow/SKILL.md",[320],{"path":270,"priority":271},{"basePath":322,"description":323,"displayName":324,"installMethods":325,"rationale":326,"selectedPaths":327,"source":272,"sourceLanguage":18,"type":248},"skills/dev/verification-loop","Pre-commit verification with lint, type-check, tests, and security scan","verification-loop",{"claudeCode":12},"SKILL.md frontmatter at skills/dev/verification-loop/SKILL.md",[328],{"path":270,"priority":271},{"basePath":330,"description":331,"displayName":332,"installMethods":333,"rationale":334,"selectedPaths":335,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/ask-company","Enterprise knowledge assistant template. Searches Confluence, Jira, Slack, and internal docs to answer questions about your company. Users customize the company name, MCP sources, and team structure. Triggers on: \"ask [company]\", \"who owns\", \"which team\", \"how does [thing] work\".\n","ask-company",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/ask-company/SKILL.md",[336],{"path":270,"priority":271},{"basePath":338,"description":339,"displayName":340,"installMethods":341,"rationale":342,"selectedPaths":343,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/critique","Pressure-test any document for logic gaps, unsupported assumptions, missing perspectives, and completeness. Works on PRDs, briefs, strategy docs, proposals, and any PM artifact. Triggers on: \"critique this\", \"pressure test\", \"poke holes\", \"review this doc\", \"what am I missing\", \"devil's advocate\".\n","critique",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/critique/SKILL.md",[344],{"path":270,"priority":271},{"basePath":346,"description":347,"displayName":348,"installMethods":349,"rationale":350,"selectedPaths":351,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/deep-context","Cross-channel research on any topic. Searches all connected MCP tools in parallel, then synthesizes into a comprehensive briefing with timeline, status, stakeholders, and sources. Triggers on: \"deep context\", \"tell me everything about\", \"research X\", \"full context on\".\n","deep-context",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/deep-context/SKILL.md",[352],{"path":270,"priority":271},{"basePath":354,"description":355,"displayName":356,"installMethods":357,"rationale":358,"selectedPaths":359,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/dogfood","Systematic web app QA using Playwright browser automation. Tests across viewports, checks navigation flows, form submissions, error states, accessibility basics, and visual consistency. Produces a structured bug report. Triggers on: \"dogfood\", \"QA\", \"find bugs\", \"test this app\".\n","dogfood",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/dogfood/SKILL.md",[360],{"path":270,"priority":271},{"basePath":362,"description":363,"displayName":364,"installMethods":365,"rationale":366,"selectedPaths":367,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/lenny-podcast","Product management advisor drawing from 269+ Lenny's Podcast episodes and established PM frameworks. Searches transcripts for practitioner wisdom on strategy, growth, prioritization, user research, metrics, and product decisions. Triggers on: \"what does Lenny say about\", \"ask lenny\", \"PM advice\", \"product strategy advice\", \"lenny podcast\".\n","lenny-podcast",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/lenny-podcast/SKILL.md",[368],{"path":270,"priority":271},{"basePath":370,"description":371,"displayName":372,"installMethods":373,"rationale":374,"selectedPaths":375,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/market-sizing","TAM/SAM/SOM market sizing analysis. Uses web search and research tools to produce a structured analysis with data sources, assumptions, calculations, and confidence ranges. Triggers on: \"calculate TAM\", \"size the market\", \"market opportunity\".\n","market-sizing",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/market-sizing/SKILL.md",[376],{"path":270,"priority":271},{"basePath":378,"description":379,"displayName":380,"installMethods":381,"rationale":382,"selectedPaths":383,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/meeting-prep","Pre-meeting context gathering across all connected systems. Pulls recent interactions, open items, and suggested talking points for any person or topic. Triggers on: \"meeting prep\", \"prep for my meeting\", \"meeting with X\", \"prep for 1:1\".\n","meeting-prep",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/meeting-prep/SKILL.md",[384],{"path":270,"priority":271},{"basePath":386,"description":387,"displayName":388,"installMethods":389,"rationale":390,"selectedPaths":391,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/people-sync","Pulls a Granola meeting transcript and updates people files with per-person intelligence: what they said, what they pushed back on, what they committed to. Compounds over time — each meeting adds a layer. Triggers on: \"sync people\", \"update people from meeting\", \"update stakeholders\", \"/people-sync\".\n","people-sync",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/people-sync/SKILL.md",[392],{"path":270,"priority":271},{"basePath":394,"description":395,"displayName":396,"installMethods":397,"rationale":398,"selectedPaths":399,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/prd","Write product requirements documents at variable depth: one-pager, brief, full PRD, or RFC. Auto-detects depth from context. Reads existing research and context if available. Triggers on: \"write a PRD\", \"product spec\", \"one-pager\", \"RFC\", \"requirements doc\", \"spec for\", \"brief for\".\n","prd",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/prd/SKILL.md",[400],{"path":270,"priority":271},{"basePath":402,"description":403,"displayName":404,"installMethods":405,"rationale":406,"selectedPaths":407,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/prioritize","Feature and initiative prioritization using 7 frameworks (RICE, ICE, WSJF, MoSCoW, Value/Effort, Kano, Weighted Scoring). Auto-detects mode: stack rank, scoring, opportunity assessment, trade-off analysis, or scope cut. Triggers on: \"prioritize\", \"rank these features\", \"RICE score\", \"what should we build next\", \"scope cut\", \"trade-off\".\n","prioritize",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/prioritize/SKILL.md",[408],{"path":270,"priority":271},{"basePath":410,"description":411,"displayName":412,"installMethods":413,"rationale":414,"selectedPaths":415,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/synthesize-interviews","Turn raw user interviews, transcripts, and feedback into structured themes, pain points, and recommendations. Produces both a synthesis report and a standalone pain points document. Triggers on: \"synthesize interviews\", \"interview findings\", \"user research synthesis\", \"what did users say\", \"analyze feedback\".\n","synthesize-interviews",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/synthesize-interviews/SKILL.md",[416],{"path":270,"priority":271},{"basePath":418,"description":419,"displayName":420,"installMethods":421,"rationale":422,"selectedPaths":423,"source":272,"sourceLanguage":18,"type":248},"skills/pm-core/weekly-status","Weekly accomplishment report. Pulls from Jira, GitHub, Confluence, and Slack to produce a structured status report with accomplishments, metrics, blockers, and next week plan. Triggers on: \"weekly status\", \"status report\", \"what did I do this week\".\n","weekly-status",{"claudeCode":12},"SKILL.md frontmatter at skills/pm-core/weekly-status/SKILL.md",[424],{"path":270,"priority":271},{"basePath":426,"description":427,"displayName":428,"installMethods":429,"rationale":430,"selectedPaths":431,"source":272,"sourceLanguage":18,"type":248},"skills/productivity/handoff-doc","Create portable handoff document when switching sessions","handoff-doc",{"claudeCode":12},"SKILL.md frontmatter at skills/productivity/handoff-doc/SKILL.md",[432],{"path":270,"priority":271},{"basePath":434,"description":435,"displayName":436,"installMethods":437,"rationale":438,"selectedPaths":439,"source":272,"sourceLanguage":18,"type":248},"skills/productivity/manifest-reader","Read and summarize sub-agent manifest files","manifest-reader",{"claudeCode":12},"SKILL.md frontmatter at skills/productivity/manifest-reader/SKILL.md",[440],{"path":270,"priority":271},{"basePath":245,"description":10,"displayName":13,"installMethods":442,"rationale":443,"selectedPaths":444,"source":272,"sourceLanguage":18,"type":248},{"claudeCode":12},"SKILL.md frontmatter at skills/productivity/meta-observer/SKILL.md",[445],{"path":270,"priority":271},{"basePath":447,"description":448,"displayName":449,"installMethods":450,"rationale":451,"selectedPaths":452,"source":272,"sourceLanguage":18,"type":248},"skills/productivity/orchestrator","Wave-based parallel task execution with sub-agents","orchestrator",{"claudeCode":12},"SKILL.md frontmatter at skills/productivity/orchestrator/SKILL.md",[453],{"path":270,"priority":271},{"basePath":455,"description":456,"displayName":457,"installMethods":458,"rationale":459,"selectedPaths":460,"source":272,"sourceLanguage":18,"type":248},"skills/productivity/session-init","Lightweight session initialization with context recovery","session-init",{"claudeCode":12},"SKILL.md frontmatter at skills/productivity/session-init/SKILL.md",[461],{"path":270,"priority":271},{"basePath":463,"description":464,"displayName":465,"installMethods":466,"rationale":467,"selectedPaths":468,"source":272,"sourceLanguage":18,"type":248},"skills/productivity/strategic-compact","Monitor context usage and suggest compaction at logical milestones","strategic-compact",{"claudeCode":12},"SKILL.md frontmatter at skills/productivity/strategic-compact/SKILL.md",[469],{"path":270,"priority":271},{"sources":471},[472],"manual",{"npmPackage":247},{"closedIssues90d":8,"description":475,"forks":232,"homepage":476,"license":239,"openIssues90d":234,"pushedAt":235,"readmeSize":230,"stars":236,"topics":477},"Claude Code configured for PMs. Meeting prep, PRDs, stakeholder intel — 25 skills, ready to install.","https://github.com/mshadmanrahman/pm-pilot#readme",[478,479,480,481,482,483,484,485,486,487,488,489,490,491,214,216,492,493,494,495],"ai-agents","ai-toolkit","anthropic","automation","claude-code","cli-tool","code-review","confluence","developer-tools","jira","mcp","open-source","pm-tools","product-management","slack","tdd","ai-assistant","workflow",{"downloads":8},{"classifiedAt":498,"discoverAt":499,"extractAt":500,"githubAt":500,"npmAt":501,"updatedAt":498},1778694240331,1778694234559,1778694237232,1778694238887,[213,215,212,214,216],{"evaluatedAt":243,"extractAt":504,"updatedAt":243},1778694240519,[],[507,541,569,598,629,660],{"_creationTime":508,"_id":509,"community":510,"display":511,"identity":517,"providers":523,"relations":533,"tags":536,"workflow":537},1778699133476.6787,"k1781nsw0x98bnp3a0cnw94z1n86mgd4",{"reviewCount":8},{"description":512,"installMethods":513,"name":515,"sourceUrl":516},"AI 代理的时间序列预测。ARIMA 和 Holt-Winters 预测（含置信区间）。预测收入、流量、价格或任何序列数据。推理延迟低于 5 毫秒。",{"claudeCode":514},"Whatsonyourmind/oraclaw","OraClaw Forecast","https://github.com/Whatsonyourmind/oraclaw",{"basePath":518,"githubOwner":519,"githubRepo":520,"locale":521,"slug":522,"type":248},"mission-control/packages/clawhub-skills/oraclaw-forecast","Whatsonyourmind","oraclaw","zh-CN","oraclaw-forecast",{"evaluate":524,"extract":532},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":525,"targetMarket":217,"tier":218},[526,527,528,529,530,213,531],"forecasting","time-series","prediction","arima","holt-winters","data-science",{"commitSha":254,"license":239},{"repoId":534,"translatedFrom":535},"kd76fmxm1ng903s4fmj0p7hxxs86ndkg","k17a19x757qjaehqa5jah8k7y986n55p",[213,529,531,526,530,528,527],{"evaluatedAt":538,"extractAt":539,"updatedAt":540},1778698975269,1778698837670,1778699133476,{"_creationTime":542,"_id":543,"community":544,"display":545,"identity":551,"providers":555,"relations":562,"tags":565,"workflow":566},1778695720086.77,"k17dem9k6ck7j5dvtc629g0cdh86np6g",{"reviewCount":8},{"description":546,"installMethods":547,"name":549,"sourceUrl":550},"Specifies requirements for an analytics dashboard including metrics, visualizations, filters, and data sources. Use when requesting dashboards from data teams, defining KPI tracking, or documenting reporting needs.",{"claudeCode":548},"product-on-purpose/pm-skills","measure-dashboard-requirements","https://github.com/product-on-purpose/pm-skills",{"basePath":552,"githubOwner":553,"githubRepo":554,"locale":18,"slug":549,"type":248},"skills/measure-dashboard-requirements","product-on-purpose","pm-skills",{"evaluate":556,"extract":561},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":557,"targetMarket":217,"tier":218},[213,558,559,491,560],"dashboard","requirements","data-visualization",{"commitSha":254},{"parentExtensionId":563,"repoId":564},"k1721116hsfj7zg78w03432n8986n6y8","kd78ksv1wjj826ds5j1sh2kqnx86mhqf",[213,558,560,491,559],{"evaluatedAt":567,"extractAt":568,"updatedAt":567},1778696393987,1778695720086,{"_creationTime":570,"_id":571,"community":572,"display":573,"identity":579,"providers":583,"relations":591,"tags":594,"workflow":595},1778686547483.5203,"k172586j85zy6ed9hr0r7pwby986m8z3",{"reviewCount":8},{"description":574,"installMethods":575,"name":577,"sourceUrl":578},"When the user wants to track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions \"chart movers\", \"rank changes\", \"who's rising\", \"who's falling\", \"new chart entries\", \"top gainers\", or \"market shifts\". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.",{"claudeCode":576},"Eronred/aso-skills","market-movers","https://github.com/Eronred/aso-skills",{"basePath":580,"githubOwner":581,"githubRepo":582,"locale":18,"slug":577,"type":248},"skills/market-movers","Eronred","aso-skills",{"evaluate":584,"extract":590},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":585,"targetMarket":217,"tier":218},[586,587,588,213,589],"app-store","aso","market-intelligence","mobile-marketing",{"commitSha":254},{"parentExtensionId":592,"repoId":593},"k1727n4vhgt43pj3y260sxsq3x86m9ew","kd7cmwz9bgzp6ww0emxg8jfez186n7c2",[213,586,587,588,589],{"evaluatedAt":596,"extractAt":597,"updatedAt":596},1778687205370,1778686547483,{"_creationTime":599,"_id":600,"community":601,"display":602,"identity":608,"providers":613,"relations":622,"tags":625,"workflow":626},1778686037155.62,"k171b0gmdtned9xfwa62tb031d86mx06",{"reviewCount":8},{"description":603,"installMethods":604,"name":606,"sourceUrl":607},"Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.",{"claudeCode":605},"deanpeters/Product-Manager-Skills","Acquisition Channel Advisor","https://github.com/deanpeters/Product-Manager-Skills",{"basePath":609,"githubOwner":610,"githubRepo":611,"locale":18,"slug":612,"type":248},"skills/acquisition-channel-advisor","deanpeters","Product-Manager-Skills","acquisition-channel-advisor",{"evaluate":614,"extract":620},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":615,"targetMarket":217,"tier":218},[491,616,617,213,618,619],"acquisition","marketing","decision-making","unit-economics",{"commitSha":254,"license":621},"NOASSERTION",{"parentExtensionId":623,"repoId":624},"k17fvvtse56j7y3zaag454yw5986m2q1","kd79w54je3w4zrhk2stxg9246186nbp1",[616,213,618,617,491,619],{"evaluatedAt":627,"extractAt":628,"updatedAt":627},1778687204952,1778686037155,{"_creationTime":630,"_id":631,"community":632,"display":633,"identity":639,"providers":644,"relations":653,"tags":656,"workflow":657},1778675056600.2642,"k17aczx5qdprvyyqzzhkg5epys86nv76",{"reviewCount":8},{"description":634,"installMethods":635,"name":637,"sourceUrl":638},"Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.",{"claudeCode":636},"alirezarezvani/claude-skills","Social Media Analyzer","https://github.com/alirezarezvani/claude-skills",{"basePath":640,"githubOwner":641,"githubRepo":642,"locale":18,"slug":643,"type":248},"marketing-skill/skills/social-media-analyzer","alirezarezvani","claude-skills","social-media-analyzer",{"evaluate":645,"extract":652},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":646,"targetMarket":217,"tier":218},[647,617,213,648,649,650,651],"social-media","performance-tracking","roi","engagement-metrics","benchmarking",{"commitSha":254,"license":239},{"parentExtensionId":654,"repoId":655},"k170sws65f0ebecn36z3q8c2z186m477","kd7ff9s1w43mfyy1n7hf87816186m6px",[213,651,650,617,648,649,647],{"evaluatedAt":658,"extractAt":659,"updatedAt":658},1778685204538,1778675056600,{"_creationTime":661,"_id":662,"community":663,"display":664,"identity":670,"providers":674,"relations":682,"tags":684,"workflow":685},1778684091954.6716,"k17fm8zm9ymz1gxqc179tkkfxh86m1rf",{"reviewCount":8},{"description":665,"installMethods":666,"name":668,"sourceUrl":669},"GTM Event Tracking & Setup Reference — dataLayer fundamentals, trigger types, variable types, GA4 tag configuration, debug mode, and best practices",{"claudeCode":667},"cognyai/claude-code-marketing-skills","gtm-setup","https://github.com/cognyai/claude-code-marketing-skills",{"basePath":671,"githubOwner":672,"githubRepo":673,"locale":18,"slug":668,"type":248},"skills/gtm-setup","cognyai","claude-code-marketing-skills",{"evaluate":675,"extract":681},{"promptVersionExtension":205,"promptVersionScoring":206,"score":209,"tags":676,"targetMarket":217,"tier":218},[677,678,213,617,679,680],"gtm","google-tag-manager","tracking","ga4",{"commitSha":254},{"repoId":683},"kd7371gwzbdr07nc839hsmagw986nje6",[213,680,678,677,617,679],{"evaluatedAt":686,"extractAt":687,"updatedAt":686},1778684551256,1778684091954]