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deployment.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's advanced recursive research capabilities, including its decision-making processes and handling of context limits.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The skill utilizes well-defined tools (Firecrawl, Context7, WebSearch, WebFetch) with specific functions, avoiding a single generalist execution tool.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","The SKILL.md file clearly documents all parameters, interactive questions, and workflow phases, including default values and expected inputs.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","Tools like `firecrawl_scrape`, `query-docs`, `WebSearch`, and `WebFetch` are descriptively named and appropriate for their functions.",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","The skill's interactive prompts and tool usage appear to request only necessary information and produce focused outputs, with clear documentation for inputs and outputs.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The extension is licensed under MIT, a permissive open-source license, clearly declared in the LICENSE file and referenced in the README and SKILL.md.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The last commit was on April 22, 2026, well within the last 3 months, indicating active maintenance.",{"category":58,"check":62,"severity":63,"summary":64},"Dependency Management","not_applicable","The extension does not appear to use third-party dependencies beyond those inherent to the Claude Code environment.",{"category":66,"check":67,"severity":63,"summary":68},"Security","Secret Management","The skill does 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usage.",{"category":33,"check":130,"severity":63,"summary":131},"Tool surface size","This is a single-tool skill with interactive prompts, not a collection of distinct tools.",{"category":40,"check":133,"severity":24,"summary":134},"Overlapping near-synonym tools","The skill uses distinct MCPs like Firecrawl, Context7, WebSearch, and WebFetch for specific purposes, avoiding synonym overlap.",{"category":44,"check":136,"severity":24,"summary":137},"Phantom features","All advertised features, such as WDM, Munger inversion, and checkpointing, are clearly implemented and documented in the SKILL.md and README.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","Clear, copy-pasteable installation instructions are provided for multiple methods (marketplace, standalone skill) along with usage examples.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","The skill provides clear guidance on error conditions, such as missing directories or the need for manual intervention during a pause.",{"category":147,"check":148,"severity":63,"summary":149},"Execution","Pinned dependencies","The skill does not explicitly list or pin third-party dependencies beyond the integrated Claude Code environment.",{"category":33,"check":151,"severity":63,"summary":152},"Dry-run preview","The skill's primary function is information gathering and analysis, with no state-changing operations that would require a dry-run mode.",{"category":154,"check":155,"severity":63,"summary":156},"Protocol","Idempotent retry & timeouts","The skill's operations are primarily local file I/O and tool calls within Claude Code, not external mutating APIs requiring explicit idempotency checks.",{"category":117,"check":158,"severity":24,"summary":159},"Telemetry opt-in","The skill operates locally and does not emit any telemetry, thus meeting the opt-in requirement by 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to be deep but self-contained within its own checkpoints, not flooding the main conversation; `context: fork` is not applicable here.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","Multiple, clear usage examples are provided for various domains, demonstrating the skill's versatility and guiding the user.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill documents edge cases like the creation of the 'memoria/' directory, resume functionality, and proactive context limit warnings, with recovery steps.",{"category":104,"check":183,"severity":24,"summary":184},"Tool Fallback","The skill uses internal Claude Code tools and preferred MCPs with fallbacks, documenting the expected runtime environment.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill explicitly states the need for the 'memoria/' directory and handles its absence gracefully, implying it halts if critical preconditions aren't met.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill is designed to be standalone and does not implicitly rely on other skills being loaded.",1778675358273,"This skill performs recursive, PhD-level research on any topic by iteratively exploring sources, tiering them by reliability, and applying decision-making frameworks like WDM and Munger Inversion. It saves progress to disk checkpoints, manages context limits proactively, and provides detailed outputs on findings, gaps, and actions.",[195,196,197,198,199,200],"Recursive research up to PhD level","Auto-regulated research cycles with progress checkpointing","Transparent source tiering (Tier 1-3, Rejected)","WDM + Munger Inversion for autonomous decisions","Proactive context limit management and session resume","Cross-domain applicability (science, tech, arts, business, humanities)",[202,203,204,205],"Performing simple keyword searches","Generating creative content without rigorous sourcing","Replacing direct human expert consultation","Operating without user guidance on research seeds and parameters","3.0.0","4.4.0","To empower users to conduct in-depth, expert-level research across any domain, systematically identifying reliable information and knowledge gaps.","All checks passed, indicating high quality, thorough documentation, and robust implementation. 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Source tiering, WDM + Munger inversion for autonomous decisions, and disk checkpointing to survive context compaction.",[273,275,345,214,346,274,13,347],"claude-code-skill","mental-models","weighted-decision-matrix",{"classifiedAt":349,"discoverAt":350,"extractAt":351,"githubAt":351,"updatedAt":349},1778675291330,1778675287813,1778675289690,[216,217,214,215,213],{"evaluatedAt":240,"extractAt":287,"updatedAt":354},1778675391687,[],[357,384,413,442,471,503],{"_creationTime":358,"_id":359,"community":360,"display":361,"identity":367,"providers":371,"relations":377,"tags":380,"workflow":381},1778699234184.6135,"k175frmf44tn80mcd6gvw1c1th86ngq9",{"reviewCount":8},{"description":362,"installMethods":363,"name":365,"sourceUrl":366},"Invoke parallel document-specialist agents for external web searches and documentation lookup",{"claudeCode":364},"Yeachan-Heo/oh-my-claudecode","external-context","https://github.com/Yeachan-Heo/oh-my-claudecode",{"basePath":368,"githubOwner":369,"githubRepo":370,"locale":256,"slug":365,"type":244},"skills/external-context","Yeachan-Heo","oh-my-claudecode",{"evaluate":372,"extract":376},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":373,"targetMarket":218,"tier":219},[374,217,213,292,375],"search","multi-agent",{"commitSha":277},{"parentExtensionId":378,"repoId":379},"k17brg5egdw1jbncj1j4wfv3fh86n639","kd74zv63fryf9prygtq7gf4es986n22y",[217,292,375,213,374],{"evaluatedAt":382,"extractAt":383,"updatedAt":382},1778699449790,1778699234184,{"_creationTime":385,"_id":386,"community":387,"display":388,"identity":394,"providers":399,"relations":406,"tags":409,"workflow":410},1778695116697.199,"k17cex5hqwje7qgvts5evct1d186nd4m",{"reviewCount":8},{"description":389,"installMethods":390,"name":392,"sourceUrl":393},"Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.",{"claudeCode":391},"Orchestra-Research/AI-Research-SKILLs","ARA Research Manager","https://github.com/Orchestra-Research/AI-Research-SKILLs",{"basePath":395,"githubOwner":396,"githubRepo":397,"locale":256,"slug":398,"type":244},"22-agent-native-research-artifact/research-manager","Orchestra-Research","AI-Research-SKILLs","research-manager",{"evaluate":400,"extract":405},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":401,"targetMarket":218,"tier":219},[213,402,214,403,404],"provenance","session-logging","ara",{"commitSha":277,"license":237},{"parentExtensionId":407,"repoId":408},"k17155ws9qc0hw7a568bg79sfd86max8","kd70hj1y80mhra5xm5g188j5n586mg18",[404,214,402,213,403],{"evaluatedAt":411,"extractAt":412,"updatedAt":411},1778697541177,1778695116697,{"_creationTime":414,"_id":415,"community":416,"display":417,"identity":423,"providers":427,"relations":435,"tags":438,"workflow":439},1778675056600.238,"k17bzapecn7k6jdgt1ag6rda2s86m06p",{"reviewCount":8},{"description":418,"installMethods":419,"name":421,"sourceUrl":422},"Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.",{"claudeCode":420},"alirezarezvani/claude-skills","rag-architect","https://github.com/alirezarezvani/claude-skills",{"basePath":424,"githubOwner":425,"githubRepo":426,"locale":256,"slug":421,"type":244},"engineering/skills/rag-architect","alirezarezvani","claude-skills",{"evaluate":428,"extract":434},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":429,"targetMarket":218,"tier":219},[430,215,431,432,433,214],"rag","embedding","vector-search","retrieval",{"commitSha":277},{"parentExtensionId":436,"repoId":437},"k173223hfbd6c4mx6r1jdx23wn86mbpb","kd7ff9s1w43mfyy1n7hf87816186m6px",[431,214,215,430,433,432],{"evaluatedAt":440,"extractAt":441,"updatedAt":440},1778678924736,1778675056600,{"_creationTime":443,"_id":444,"community":445,"display":446,"identity":452,"providers":456,"relations":464,"tags":466,"workflow":467},1778698837670.7993,"k17fe7ybjme5s1n10mmg3emmns86nr26",{"reviewCount":8},{"description":447,"installMethods":448,"name":450,"sourceUrl":451},"Decision intelligence for AI agents. Analyze options, map decision dependencies with PageRank, detect when information sources conflict, and find the choices that matter most.",{"claudeCode":449},"Whatsonyourmind/oraclaw","oraclaw-decide","https://github.com/Whatsonyourmind/oraclaw",{"basePath":453,"githubOwner":454,"githubRepo":455,"locale":256,"slug":450,"type":244},"mission-control/packages/clawhub-skills/oraclaw-decide","Whatsonyourmind","oraclaw",{"evaluate":457,"extract":463},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":458,"targetMarket":218,"tier":219},[216,459,460,461,462],"analysis","optimization","graph-theory","ai-agent-tools",{"commitSha":277},{"repoId":465},"kd76fmxm1ng903s4fmj0p7hxxs86ndkg",[462,459,216,461,460],{"evaluatedAt":468,"extractAt":469,"updatedAt":470},1778698934136,1778698837670,1778699187402,{"_creationTime":472,"_id":473,"community":474,"display":475,"identity":481,"providers":486,"relations":496,"tags":499,"workflow":500},1778686037155.62,"k171b0gmdtned9xfwa62tb031d86mx06",{"reviewCount":8},{"description":476,"installMethods":477,"name":479,"sourceUrl":480},"Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.",{"claudeCode":478},"deanpeters/Product-Manager-Skills","Acquisition Channel Advisor","https://github.com/deanpeters/Product-Manager-Skills",{"basePath":482,"githubOwner":483,"githubRepo":484,"locale":256,"slug":485,"type":244},"skills/acquisition-channel-advisor","deanpeters","Product-Manager-Skills","acquisition-channel-advisor",{"evaluate":487,"extract":494},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":488,"targetMarket":218,"tier":219},[489,490,491,492,216,493],"product-management","acquisition","marketing","analytics","unit-economics",{"commitSha":277,"license":495},"NOASSERTION",{"parentExtensionId":497,"repoId":498},"k17fvvtse56j7y3zaag454yw5986m2q1","kd79w54je3w4zrhk2stxg9246186nbp1",[490,492,216,491,489,493],{"evaluatedAt":501,"extractAt":502,"updatedAt":501},1778687204952,1778686037155,{"_creationTime":504,"_id":505,"community":506,"display":507,"identity":511,"providers":513,"relations":521,"tags":523,"workflow":524},1778675056600.218,"k17ejygw8vekhzk4wfjxw235z586nt0y",{"reviewCount":8},{"description":508,"installMethods":509,"name":510,"sourceUrl":422},"/em -hard-call — Framework for Decisions With No Good Options",{"claudeCode":420},"hard-call",{"basePath":512,"githubOwner":425,"githubRepo":426,"locale":256,"slug":510,"type":244},"c-level-advisor/executive-mentor/skills/hard-call",{"evaluate":514,"extract":520},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":515,"targetMarket":218,"tier":219},[216,516,517,518,519],"framework","leadership","strategy","ethics",{"commitSha":277},{"parentExtensionId":522,"repoId":437},"k17cdzaj97ewc2bbxtzkwcdy7h86mar5",[216,519,516,517,518],{"evaluatedAt":525,"extractAt":441,"updatedAt":525},1778677000601]