[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-rohitg00-insights-en":3,"guides-for-rohitg00-insights":813,"similar-k17b4jc4safszkfy5j07p74s6186nzj4-en":814},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":246,"isFallback":237,"parentExtension":251,"providers":311,"relations":315,"repo":316,"tags":811,"workflow":812},1778696595410.5642,"k17b4jc4safszkfy5j07p74s6186nzj4",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.",{"claudeCode":12},"rohitg00/pro-workflow","insights","https://github.com/rohitg00/pro-workflow",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":227,"workflow":244},1778696794737.529,"kn73s0vrb2grq7cs0m3bwn6x5s86nfh7","en",{"checks":20,"evaluatedAt":195,"extensionSummary":196,"features":197,"nonGoals":203,"promptVersionExtension":207,"promptVersionScoring":208,"purpose":209,"rationale":210,"score":211,"summary":212,"tags":213,"targetMarket":220,"tier":221,"useCases":222},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,173,176,179,182,185,188,192],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of repeated corrections and knowledge loss in AI sessions and names the solution: a persistent SQLite store for memory and research.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The extension offers significant value over default behavior by providing persistent self-correction memory, a knowledge plane for research wikis, and auto-research loops, all built on a unified SQLite store.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The extension appears production-ready, covering the full lifecycle of AI session management with features like persistent memory, knowledge management, and quality gates.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The extension focuses on enhancing AI session persistence and knowledge management, with related sub-skills that collectively contribute to this core purpose.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The description accurately reflects the extension's purpose of showing session analytics and learning patterns, while also providing clear usage triggers.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill, not a tool-based extension. Individual tools are not exposed in a way that allows for direct invocation and evaluation of their scope.",{"category":45,"check":46,"severity":24,"summary":47},"Documentation","Configuration & parameter reference","The README provides clear instructions and examples for configuration, including environment variables for the knowledge plane and details on MCP setup.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill, not a tool-based extension. Tool naming is not applicable.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This is a skill, not a tool-based extension. Minimal I/O surface for tools is not applicable.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The project includes a MIT license in the README, indicating a permissive open-source license.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on 2026-05-12, which is within the last 3 months.",{"category":59,"check":63,"severity":24,"summary":64},"Dependency Management","The project uses npm and has a lockfile, indicating dependency management practices are in place.",{"category":66,"check":67,"severity":24,"summary":68},"Security","Secret Management","The extension's README mentions secret scanning as a feature (`secret-scan.js` hook) and guards against destructive operations, suggesting a focus on security.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The extension focuses on managing local data and interactions with Claude Code, and the README emphasizes guardrails and validation, reducing the risk of injection.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The extension's focus on local data management and explicit hooks suggests it does not fetch external code or instructions at runtime.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The extension manages local storage within `.claude/` and project-specific wikis, with documented mechanisms for managing state and preventing operations outside its intended scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","No obvious sandbox escape primitives like detached processes or deny-retry loops are indicated in the documentation or structure.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The extension primarily manages local data and session memory, with security features like secret scanning, indicating a low risk of data exfiltration.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The README and SKILL.md appear free of hidden text tricks, relying on standard markdown and code for instructions.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The source code is available and appears to be standard TypeScript, with no indication of obfuscation or runtime code fetching.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The extension assumes a local file structure for storing data (`~/.pro-workflow/`, `.claude/`) but this is standard for Claude Code extensions and configurable.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","There are 0 open issues and 5 closed issues in the last 90 days, indicating active maintenance and issue resolution.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The README includes npm versioning and the project is actively developed, indicating a system for release management.",{"category":104,"check":105,"severity":24,"summary":106},"Code Execution","Validation","The extension uses TypeScript and mentions guards, suggesting input validation and sanitization are implemented.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The extension includes a `safe-mode` skill and mentions guardrails for destructive operations, indicating they are guarded.",{"category":104,"check":111,"severity":24,"summary":112},"Error Handling","The use of TypeScript and mention of guardrails suggest robust error handling, and the structured nature of Claude Code extensions typically ensures non-zero exits on failure.",{"category":104,"check":114,"severity":24,"summary":115},"Logging","The extension's focus on local state management and persistence implies a robust logging mechanism for audit trails, especially for destructive operations.",{"category":117,"check":118,"severity":24,"summary":119},"Compliance","GDPR","The extension primarily operates on local session data and user-provided project files, minimizing the risk of processing personal data without consent.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The extension appears to be global in scope, focusing on developer productivity tools that are not region-specific.",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","The extension uses standard Node.js and TypeScript, with clear instructions for setup, suggesting good multi-platform compatibility.",{"category":45,"check":127,"severity":24,"summary":128},"README","The README is comprehensive, well-structured, and clearly states the extension's purpose and features.",{"category":33,"check":130,"severity":42,"summary":131},"Tool surface size","This is a skill, not a tool-based extension. Tool surface size is not applicable.",{"category":40,"check":133,"severity":42,"summary":134},"Overlapping near-synonym tools","This is a skill, not a tool-based extension. Overlapping near-synonym tools are not applicable.",{"category":45,"check":136,"severity":24,"summary":137},"Phantom features","The README details numerous skills and agents, and the structure suggests these are implemented rather than phantom features.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","The README provides clear installation instructions for various methods (marketplace, Cursor, SkillKit, manual) and includes copy-pasteable command examples.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","The detailed documentation and focus on structured data management imply that error messages would be actionable.",{"category":147,"check":148,"severity":24,"summary":149},"Execution","Pinned dependencies","The presence of `package.json` and `npm install` commands suggests dependency management, and the `hasLockfile: true` trust signal confirms pinned dependencies.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","The extension's primary function is managing local state and providing insights, not performing destructive external operations that would require a dry-run mode.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","The extension primarily interacts with local storage and the Claude Code environment, not external APIs that would require specific retry or timeout handling.",{"category":117,"check":158,"severity":24,"summary":159},"Telemetry opt-in","The extension focuses on local data and developer productivity, and there is no indication of opt-out telemetry; any data handling would likely be opt-in or inferred from local settings.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The SKILL.md and README clearly define the purpose as enhancing AI session persistence and knowledge management, with specific triggers and data sources outlined.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The SKILL.md frontmatter is concise and effectively summarizes the skill's core capability and trigger phrases.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md is relatively concise, outlining key features and data sources, and defers deeper material to the README and referenced guides.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The README effectively uses progressive disclosure by detailing core concepts and then providing separate sections for specific skills, agents, commands, and reference guides.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","The extension is designed to manage local state and provide insights, not to perform deep, exploratory tasks that would necessitate `context: fork`.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The README provides numerous concrete examples for using various skills and commands, demonstrating inputs and expected outcomes.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The documentation implicitly handles edge cases by describing data sources, error handling, and configuration options, and the focus on robust local storage suggests attention to failure modes.",{"category":104,"check":183,"severity":42,"summary":184},"Tool Fallback","The extension primarily relies on Claude Code's internal environment and local file system, not external MCP servers that would require fallbacks.",{"category":92,"check":186,"severity":24,"summary":187},"Stack assumptions","The project assumes a Node.js environment (npm) and is written in TypeScript, which is clearly stated by the installation and build instructions.",{"category":189,"check":190,"severity":24,"summary":191},"Safety","Halt on unexpected state","The extension's emphasis on state preservation, error handling, and guardrails suggests it halts on unexpected states rather than proceeding destructively.",{"category":92,"check":193,"severity":24,"summary":194},"Cross-skill coupling","While the extension is composed of many skills, they are designed to work together within a unified framework and managed via a single CLI/interface, indicating a cohesive design rather than implicit coupling.",1778696794407,"This extension provides a persistent SQLite store for AI sessions, enabling self-correction memory, a knowledge plane for research wikis, and auto-research loops. It computes session analytics and productivity metrics from project memory and history.",[198,199,200,201,202],"Persistent self-correction memory","FTS5-indexed research wikis","Auto-research loop","Session analytics and productivity metrics","LLM-powered hooks and guards",[204,205,206],"Replacing core AI chat functionality.","Managing external cloud services or CI/CD pipelines.","Operating as a general-purpose file system manager.","3.0.0","4.4.0","To significantly improve AI session intelligence and developer productivity by making AI memory persistent and actionable, and by centralizing research into queryable wikis.","The extension demonstrates high quality across documentation, security, and functionality with numerous passing checks. The only minor points for consideration are related to the absence of direct tool invocations for certain checks, which are not applicable to its skill-based nature.",95,"A robust extension enhancing AI session persistence and knowledge management with advanced features.",[214,215,216,217,218,219],"ai","session-management","productivity","knowledge-management","sqlite","llm","global","verified",[223,224,225,226],"When you need AI to remember corrections across sessions.","When you want to build a persistent knowledge base from research.","When you need to track and improve coding productivity and learning patterns.","When asking for session stats, statistics, progress, or coding history.",{"codeQuality":228,"collectedAt":230,"documentation":231,"maintenance":234,"popularity":240,"security":242,"testCoverage":243},{"hasLockfile":229},true,1778696777553,{"descriptionLength":232,"readmeSize":233},248,22012,{"closedIssues90d":235,"forks":236,"hasChangelog":237,"openIssues90d":8,"pushedAt":238,"stars":239},5,203,false,1778554780000,2113,{"npmDownloads":241},611,{"hasNpmPackage":229,"smitheryVerified":237},{"hasCi":229,"hasTests":237},{"updatedAt":245},1778696794737,{"basePath":247,"githubOwner":248,"githubRepo":249,"locale":18,"slug":13,"type":250},"skills/insights","rohitg00","pro-workflow","skill",{"_creationTime":252,"_id":253,"community":254,"display":255,"identity":261,"parentExtension":264,"providers":294,"relations":307,"tags":308,"workflow":309},1778696595410.5615,"k17fxtjcfh5gvxdrhv2dmgn1t986mdhv",{"reviewCount":8},{"description":256,"installMethods":257,"name":260,"sourceUrl":14},"Complete AI coding workflow system. 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Cross-agent via SkillKit.",{"claudeCode":249,"cursor":258,"npm":249,"skillkit":259},"/add-plugin pro-workflow","npx skillkit install pro-workflow","Pro Workflow",{"basePath":262,"githubOwner":248,"githubRepo":249,"locale":18,"slug":249,"type":263},"","plugin",{"_creationTime":265,"_id":266,"community":267,"display":268,"identity":271,"providers":273,"relations":288,"tags":290,"workflow":291},1778696595410.5613,"k1741gyqaf0tj1ffq65gjpsm6x86mfhx",{"reviewCount":8},{"description":269,"installMethods":270,"name":260,"sourceUrl":14},"Battle-tested Claude Code workflows from power 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at .claude-plugin/marketplace.json",[326,329],{"path":327,"priority":328},".claude-plugin/marketplace.json","mandatory",{"path":330,"priority":328},"README.md","rule",{"basePath":262,"description":256,"displayName":249,"installMethods":333,"license":283,"rationale":334,"selectedPaths":335,"source":331,"sourceLanguage":18,"type":263},{"claudeCode":249},"plugin manifest at .claude-plugin/plugin.json",[336,338,339,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471],{"path":337,"priority":328},".claude-plugin/plugin.json",{"path":330,"priority":328},{"path":340,"priority":341},"skills/agent-teams/SKILL.md","medium",{"path":343,"priority":341},"skills/auto-setup/SKILL.md",{"path":345,"priority":341},"skills/batch-orchestration/SKILL.md",{"path":347,"priority":341},"skills/bug-capture/SKILL.md",{"path":349,"priority":341},"skills/compact-guard/SKILL.md",{"path":351,"priority":341},"skills/context-engineering/SKILL.md",{"path":353,"priority":341},"skills/context-optimizer/SKILL.md",{"path":355,"priority":341},"skills/cost-tracker/SKILL.md",{"path":357,"priority":341},"skills/deslop/SKILL.md",{"path":359,"priority":341},"skills/file-watcher/SKILL.md",{"path":361,"priority":341},"skills/insights/SKILL.md",{"path":363,"priority":341},"skills/learn-rule/SKILL.md",{"path":365,"priority":341},"skills/llm-council/SKILL.md",{"path":367,"priority":341},"skills/llm-gate/SKILL.md",{"path":369,"priority":341},"skills/mcp-audit/SKILL.md",{"path":371,"priority":341},"skills/module-map/SKILL.md",{"path":373,"priority":341},"skills/orchestrate/SKILL.md",{"path":375,"priority":341},"skills/parallel-worktrees/SKILL.md",{"path":377,"priority":341},"skills/permission-tuner/SKILL.md",{"path":379,"priority":341},"skills/plan-interrogate/SKILL.md",{"path":381,"priority":341},"skills/pro-workflow/SKILL.md",{"path":383,"priority":341},"skills/replay-learnings/SKILL.md",{"path":385,"priority":341},"skills/safe-mode/SKILL.md",{"path":387,"priority":341},"skills/session-handoff/SKILL.md",{"path":389,"priority":341},"skills/smart-commit/SKILL.md",{"path":391,"priority":341},"skills/sprint-status/SKILL.md",{"path":393,"priority":341},"skills/survey-generator/SKILL.md",{"path":395,"priority":341},"skills/thoroughness-scoring/SKILL.md",{"path":397,"priority":341},"skills/token-efficiency/SKILL.md",{"path":399,"priority":341},"skills/wiki-builder/SKILL.md",{"path":401,"priority":341},"skills/wiki-query/SKILL.md",{"path":403,"priority":341},"skills/wiki-research-loop/SKILL.md",{"path":405,"priority":341},"skills/wiki-viewer/SKILL.md",{"path":407,"priority":341},"skills/wrap-up/SKILL.md",{"path":409,"priority":410},"agents/context-engineer.md","high",{"path":412,"priority":410},"agents/cost-analyst.md",{"path":414,"priority":410},"agents/debugger.md",{"path":416,"priority":410},"agents/orchestrator.md",{"path":418,"priority":410},"agents/permission-analyst.md",{"path":420,"priority":410},"agents/planner.md",{"path":422,"priority":410},"agents/reviewer.md",{"path":424,"priority":410},"agents/scout.md",{"path":426,"priority":410},"commands/auto-setup.md",{"path":428,"priority":410},"commands/commit.md",{"path":430,"priority":410},"commands/compact-guard.md",{"path":432,"priority":410},"commands/context-optimizer.md",{"path":434,"priority":410},"commands/cost-tracker.md",{"path":436,"priority":410},"commands/deslop.md",{"path":438,"priority":410},"commands/develop.md",{"path":440,"priority":410},"commands/doctor.md",{"path":442,"priority":410},"commands/handoff.md",{"path":444,"priority":410},"commands/insights.md",{"path":446,"priority":410},"commands/learn-rule.md",{"path":448,"priority":410},"commands/learn.md",{"path":450,"priority":410},"commands/list.md",{"path":452,"priority":410},"commands/mcp-audit.md",{"path":454,"priority":410},"commands/parallel.md",{"path":456,"priority":410},"commands/permission-tuner.md",{"path":458,"priority":410},"commands/replay.md",{"path":460,"priority":410},"commands/safe-mode.md",{"path":462,"priority":410},"commands/search.md",{"path":464,"priority":410},"commands/sprint-status.md",{"path":466,"priority":410},"commands/wiki.md",{"path":468,"priority":410},"commands/wrap-up.md",{"path":470,"priority":410},"hooks/hooks.json",{"path":472,"priority":410},".cursor-plugin/plugin.json",{"basePath":474,"description":475,"displayName":476,"installMethods":477,"rationale":478,"selectedPaths":479,"source":331,"sourceLanguage":18,"type":250},"skills/agent-teams","Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.","agent-teams",{"claudeCode":12},"SKILL.md frontmatter at skills/agent-teams/SKILL.md",[480],{"path":481,"priority":328},"SKILL.md",{"basePath":483,"description":484,"displayName":485,"installMethods":486,"rationale":487,"selectedPaths":488,"source":331,"sourceLanguage":18,"type":250},"skills/auto-setup","Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.","auto-setup",{"claudeCode":12},"SKILL.md frontmatter at skills/auto-setup/SKILL.md",[489],{"path":481,"priority":328},{"basePath":491,"description":492,"displayName":493,"installMethods":494,"rationale":495,"selectedPaths":496,"source":331,"sourceLanguage":18,"type":250},"skills/batch-orchestration","Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.","batch-orchestration",{"claudeCode":12},"SKILL.md frontmatter at skills/batch-orchestration/SKILL.md",[497],{"path":481,"priority":328},{"basePath":499,"description":500,"displayName":501,"installMethods":502,"rationale":503,"selectedPaths":504,"source":331,"sourceLanguage":18,"type":250},"skills/bug-capture","Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says \"file an issue\", \"log this as a bug\", \"capture this\".","bug-capture",{"claudeCode":12},"SKILL.md frontmatter at skills/bug-capture/SKILL.md",[505],{"path":481,"priority":328},{"basePath":507,"description":508,"displayName":509,"installMethods":510,"rationale":511,"selectedPaths":512,"source":331,"sourceLanguage":18,"type":250},"skills/compact-guard","Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.","compact-guard",{"claudeCode":12},"SKILL.md frontmatter at skills/compact-guard/SKILL.md",[513],{"path":481,"priority":328},{"basePath":515,"description":516,"displayName":517,"installMethods":518,"rationale":519,"selectedPaths":520,"source":331,"sourceLanguage":18,"type":250},"skills/context-engineering","Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.","context-engineering",{"claudeCode":12},"SKILL.md frontmatter at skills/context-engineering/SKILL.md",[521],{"path":481,"priority":328},{"basePath":523,"description":524,"displayName":525,"installMethods":526,"rationale":527,"selectedPaths":528,"source":331,"sourceLanguage":18,"type":250},"skills/context-optimizer","Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.","context-optimizer",{"claudeCode":12},"SKILL.md frontmatter at skills/context-optimizer/SKILL.md",[529],{"path":481,"priority":328},{"basePath":531,"description":532,"displayName":533,"installMethods":534,"rationale":535,"selectedPaths":536,"source":331,"sourceLanguage":18,"type":250},"skills/cost-tracker","Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.","cost-tracker",{"claudeCode":12},"SKILL.md frontmatter at skills/cost-tracker/SKILL.md",[537],{"path":481,"priority":328},{"basePath":539,"description":540,"displayName":541,"installMethods":542,"rationale":543,"selectedPaths":544,"source":331,"sourceLanguage":18,"type":250},"skills/deslop","Remove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, and strips defensive code. Use when cleaning up code, simplifying, removing boilerplate, or before committing.","deslop",{"claudeCode":12},"SKILL.md frontmatter at skills/deslop/SKILL.md",[545],{"path":481,"priority":328},{"basePath":547,"description":548,"displayName":549,"installMethods":550,"rationale":551,"selectedPaths":552,"source":331,"sourceLanguage":18,"type":250},"skills/file-watcher","Configure file watching hooks to auto-react to config changes, env file updates, and dependency modifications. Use to set up reactive workflows.","file-watcher",{"claudeCode":12},"SKILL.md frontmatter at skills/file-watcher/SKILL.md",[553],{"path":481,"priority":328},{"basePath":247,"description":10,"displayName":13,"installMethods":555,"rationale":556,"selectedPaths":557,"source":331,"sourceLanguage":18,"type":250},{"claudeCode":12},"SKILL.md frontmatter at skills/insights/SKILL.md",[558],{"path":481,"priority":328},{"basePath":560,"description":561,"displayName":562,"installMethods":563,"rationale":564,"selectedPaths":565,"source":331,"sourceLanguage":18,"type":250},"skills/learn-rule","Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says \"remember this\", \"don't forget\", \"note this\", or \"learn from this\".","learn-rule",{"claudeCode":12},"SKILL.md frontmatter at skills/learn-rule/SKILL.md",[566],{"path":481,"priority":328},{"basePath":568,"description":569,"displayName":570,"installMethods":571,"rationale":572,"selectedPaths":573,"source":331,"sourceLanguage":18,"type":250},"skills/llm-council","Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki \u003Cslug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the \"LLM Council\" approach for high-stakes reviews, plan critique, or contested learning rules.","llm-council",{"claudeCode":12},"SKILL.md frontmatter at skills/llm-council/SKILL.md",[574,575],{"path":481,"priority":328},{"path":576,"priority":577},"scripts/council.js","low",{"basePath":579,"description":580,"displayName":581,"installMethods":582,"rationale":583,"selectedPaths":584,"source":331,"sourceLanguage":18,"type":250},"skills/llm-gate","LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.","llm-gate",{"claudeCode":12},"SKILL.md frontmatter at skills/llm-gate/SKILL.md",[585],{"path":481,"priority":328},{"basePath":587,"description":588,"displayName":589,"installMethods":590,"rationale":591,"selectedPaths":592,"source":331,"sourceLanguage":18,"type":250},"skills/mcp-audit","Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.","mcp-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/mcp-audit/SKILL.md",[593],{"path":481,"priority":328},{"basePath":595,"description":596,"displayName":597,"installMethods":598,"rationale":599,"selectedPaths":600,"source":331,"sourceLanguage":18,"type":250},"skills/module-map","Produce a one-screen map of an unfamiliar area of the codebase: entry points, modules, data flow, callers. Designed to be read in fifteen seconds. Use when the user says \"I do not know this area\", \"give me the map\", \"zoom out\", \"orient me\".","module-map",{"claudeCode":12},"SKILL.md frontmatter at skills/module-map/SKILL.md",[601],{"path":481,"priority":328},{"basePath":603,"description":604,"displayName":605,"installMethods":606,"rationale":607,"selectedPaths":608,"source":331,"sourceLanguage":18,"type":250},"skills/orchestrate","Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.","orchestrate",{"claudeCode":12},"SKILL.md frontmatter at skills/orchestrate/SKILL.md",[609],{"path":481,"priority":328},{"basePath":611,"description":612,"displayName":613,"installMethods":614,"rationale":615,"selectedPaths":616,"source":331,"sourceLanguage":18,"type":250},"skills/parallel-worktrees","Create and manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.","parallel-worktrees",{"claudeCode":12},"SKILL.md frontmatter at skills/parallel-worktrees/SKILL.md",[617],{"path":481,"priority":328},{"basePath":619,"description":620,"displayName":621,"installMethods":622,"rationale":623,"selectedPaths":624,"source":331,"sourceLanguage":18,"type":250},"skills/permission-tuner","Analyze permission denial patterns and generate optimized alwaysAllow and alwaysDeny rules. Use when permission prompts are slowing you down or after sessions with many denials.","permission-tuner",{"claudeCode":12},"SKILL.md frontmatter at skills/permission-tuner/SKILL.md",[625],{"path":481,"priority":328},{"basePath":627,"description":628,"displayName":629,"installMethods":630,"rationale":631,"selectedPaths":632,"source":331,"sourceLanguage":18,"type":250},"skills/plan-interrogate","Stress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.","plan-interrogate",{"claudeCode":12},"SKILL.md frontmatter at skills/plan-interrogate/SKILL.md",[633],{"path":481,"priority":328},{"basePath":635,"description":636,"displayName":249,"installMethods":637,"rationale":638,"selectedPaths":639,"source":331,"sourceLanguage":18,"type":250},"skills/pro-workflow","Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.",{"claudeCode":12},"SKILL.md frontmatter at skills/pro-workflow/SKILL.md",[640],{"path":481,"priority":328},{"basePath":642,"description":643,"displayName":644,"installMethods":645,"rationale":646,"selectedPaths":647,"source":331,"sourceLanguage":18,"type":250},"skills/replay-learnings","Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying \"what do I know about\", \"previous mistakes\", \"lessons learned\", or \"remind me about\".","replay-learnings",{"claudeCode":12},"SKILL.md frontmatter at skills/replay-learnings/SKILL.md",[648],{"path":481,"priority":328},{"basePath":650,"description":651,"displayName":652,"installMethods":653,"rationale":654,"selectedPaths":655,"source":331,"sourceLanguage":18,"type":250},"skills/safe-mode","Prevent destructive operations using Claude Code hooks. Three modes — cautious (warn on dangerous commands), lockdown (restrict edits to one directory), and clear (remove restrictions). Uses PreToolUse matchers for Bash, Edit, and Write.","safe-mode",{"claudeCode":12},"SKILL.md frontmatter at skills/safe-mode/SKILL.md",[656],{"path":481,"priority":328},{"basePath":658,"description":659,"displayName":660,"installMethods":661,"rationale":662,"selectedPaths":663,"source":331,"sourceLanguage":18,"type":250},"skills/session-handoff","Generate a structured handoff document capturing current progress, open tasks, key decisions, and context needed to resume work. Use when ending a session, saying \"continue later\", \"save progress\", \"session summary\", or \"pick up where I left off\".","session-handoff",{"claudeCode":12},"SKILL.md frontmatter at skills/session-handoff/SKILL.md",[664],{"path":481,"priority":328},{"basePath":666,"description":667,"displayName":668,"installMethods":669,"rationale":670,"selectedPaths":671,"source":331,"sourceLanguage":18,"type":250},"skills/smart-commit","Run quality gates, review staged changes for issues, and create a well-crafted conventional commit. Use when saying \"commit\", \"git commit\", \"save my changes\", or ready to commit after making changes.","smart-commit",{"claudeCode":12},"SKILL.md frontmatter at skills/smart-commit/SKILL.md",[672],{"path":481,"priority":328},{"basePath":674,"description":675,"displayName":676,"installMethods":677,"rationale":678,"selectedPaths":679,"source":331,"sourceLanguage":18,"type":250},"skills/sprint-status","Track parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.","sprint-status",{"claudeCode":12},"SKILL.md frontmatter at skills/sprint-status/SKILL.md",[680],{"path":481,"priority":328},{"basePath":682,"description":683,"displayName":684,"installMethods":685,"rationale":686,"selectedPaths":687,"source":331,"sourceLanguage":18,"type":250},"skills/survey-generator","Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `\u003Cwiki>/derived/surveys/\u003Cslug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a \"survey\", \"literature review\", \"lit review\", or \"deep dive\" on a technical topic.","survey-generator",{"claudeCode":12},"SKILL.md frontmatter at skills/survey-generator/SKILL.md",[688,689,691],{"path":481,"priority":328},{"path":690,"priority":577},"scripts/build-survey.js",{"path":692,"priority":577},"templates/research_bundle.template.json",{"basePath":694,"description":695,"displayName":696,"installMethods":697,"rationale":698,"selectedPaths":699,"source":331,"sourceLanguage":18,"type":250},"skills/thoroughness-scoring","Score every decision point with a Thoroughness Rating (1-10). AI makes the marginal cost of doing things properly near-zero — pick the higher-rated option every time. Includes scope checks to distinguish contained vs unbounded work.","thoroughness-scoring",{"claudeCode":12},"SKILL.md frontmatter at skills/thoroughness-scoring/SKILL.md",[700],{"path":481,"priority":328},{"basePath":702,"description":703,"displayName":704,"installMethods":705,"rationale":706,"selectedPaths":707,"source":331,"sourceLanguage":18,"type":250},"skills/token-efficiency","Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.","token-efficiency",{"claudeCode":12},"SKILL.md frontmatter at skills/token-efficiency/SKILL.md",[708],{"path":481,"priority":328},{"basePath":710,"description":711,"displayName":712,"installMethods":713,"rationale":714,"selectedPaths":715,"source":331,"sourceLanguage":18,"type":250},"skills/wiki-builder","Start, structure, and grow a persistent research wiki indexed in pro-workflow's SQLite knowledge base. Each wiki is a folder of markdown pages with provenance, plus a shadow FTS5 index so any session can recall it. Use when the user says \"start a wiki\", \"add to wiki\", \"compile a page\", \"wiki on X\", or wants a long-lived knowledge base on a topic, paper, product, person, project, or codebase.","wiki-builder",{"claudeCode":12},"SKILL.md frontmatter at skills/wiki-builder/SKILL.md",[716,717,719,721,723,725,727,729,731,733,735,737,739],{"path":481,"priority":328},{"path":718,"priority":341},"references/wiki-flavors.md",{"path":720,"priority":577},"scripts/init_wiki.sh",{"path":722,"priority":577},"scripts/wiki-cli.js",{"path":724,"priority":577},"templates/index.md",{"path":726,"priority":577},"templates/maintenance-log.md",{"path":728,"priority":577},"templates/prompts/compile-concept-page.md",{"path":730,"priority":577},"templates/prompts/compile-index.md",{"path":732,"priority":577},"templates/prompts/compile-source-page.md",{"path":734,"priority":577},"templates/prompts/lint-wiki.md",{"path":736,"priority":577},"templates/prompts/query-and-file.md",{"path":738,"priority":577},"templates/sources.md",{"path":740,"priority":577},"templates/wiki.config.md",{"basePath":742,"description":743,"displayName":744,"installMethods":745,"rationale":746,"selectedPaths":747,"source":331,"sourceLanguage":18,"type":250},"skills/wiki-query","Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says \"what does the wiki say about X\", \"ask wiki\", \"search wikis\", or before drafting a new wiki page (to avoid duplication).","wiki-query",{"claudeCode":12},"SKILL.md frontmatter at skills/wiki-query/SKILL.md",[748,749],{"path":481,"priority":328},{"path":750,"priority":577},"scripts/query.js",{"basePath":752,"description":753,"displayName":754,"installMethods":755,"rationale":756,"selectedPaths":757,"source":331,"sourceLanguage":18,"type":250},"skills/wiki-research-loop","Auto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from the queue, fetches sources, drafts a wiki page, dedupes claims against existing pages, enqueues follow-up seeds. Halts on budget cap, depth cap, or convergence. Use when the user says \"research \u003Ctopic>\", \"grow the \u003Cslug> wiki\", \"auto-research\", or wants a knowledge base that builds itself overnight.","wiki-research-loop",{"claudeCode":12},"SKILL.md frontmatter at skills/wiki-research-loop/SKILL.md",[758,759,761,763,765],{"path":481,"priority":328},{"path":760,"priority":577},"scripts/research-loop.js",{"path":762,"priority":577},"scripts/source-fetchers/arxiv.js",{"path":764,"priority":577},"scripts/source-fetchers/github.js",{"path":766,"priority":577},"scripts/source-fetchers/web.js",{"basePath":768,"description":769,"displayName":770,"installMethods":771,"rationale":772,"selectedPaths":773,"source":331,"sourceLanguage":18,"type":250},"skills/wiki-viewer","Render a self-contained HTML viewer for a pro-workflow wiki. Pages, sources, claims, seed queue, page-link graph and full-text search all in one file. No external dependencies, no JS framework, S3-uploadable. Use when the user wants to browse a wiki visually, share its current state with someone, audit research progress, or hand off a knowledge base. Inspired by Thariq Shihipar's \"Unreasonable Effectiveness of HTML\" — favors information density and shareability over markdown-only outputs.","wiki-viewer",{"claudeCode":12},"SKILL.md frontmatter at skills/wiki-viewer/SKILL.md",[774,775],{"path":481,"priority":328},{"path":776,"priority":577},"scripts/render.js",{"basePath":778,"description":779,"displayName":780,"installMethods":781,"rationale":782,"selectedPaths":783,"source":331,"sourceLanguage":18,"type":250},"skills/wrap-up","End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying \"wrap up\", \"done for the day\", \"finish coding\", or ending a coding session.","wrap-up",{"claudeCode":12},"SKILL.md frontmatter at skills/wrap-up/SKILL.md",[784],{"path":481,"priority":328},{"sources":786},[787],"manual",{"npmPackage":249},{"closedIssues90d":235,"description":790,"forks":236,"homepage":791,"openIssues90d":8,"pushedAt":238,"readmeSize":233,"stars":239,"topics":792},"Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested skills.","https://rohitg00.github.io/pro-workflow/infographic.html",[793,794,795,278,796,797,298,798,799,800,801,802,517,280,803,301,216,299,804],"claude","claude-code","cursor","agent-orchestration","ai-agents","ai-workflow","claude-code-plugin","claude-code-skills","claude-skills","codex","gemini-cli","worktrees",{"downloads":241},{"classifiedAt":807,"discoverAt":808,"extractAt":809,"githubAt":809,"npmAt":810,"updatedAt":807},1778696594915,1778696588306,1778696590961,1778696593284,[214,217,219,216,215,218],{"evaluatedAt":245,"extractAt":293,"updatedAt":245},[],[815,847,864,892,921,938],{"_creationTime":816,"_id":817,"community":818,"display":819,"identity":825,"providers":830,"relations":839,"tags":842,"workflow":843},1778693539593.1858,"k171p5pgbfbm5g4k5sa3y4cj9s86m6hk",{"reviewCount":8},{"description":820,"installMethods":821,"name":823,"sourceUrl":824},"Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on \"evolve\", \"discover patterns\", \"backtest\", \"evolution\", \"strategy generation\", \"candidate strategy\".",{"claudeCode":822},"mnemox-ai/tradememory-protocol","TradeMemory Protocol","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":826,"githubOwner":827,"githubRepo":828,"locale":18,"slug":829,"type":250},"tradememory-plugin/skills/evolution-engine","mnemox-ai","tradememory-protocol","evolution-engine",{"evaluate":831,"extract":838},{"promptVersionExtension":207,"promptVersionScoring":208,"score":832,"tags":833,"targetMarket":220,"tier":221},100,[834,214,835,836,837,219],"trading","memory","audit","compliance",{"commitSha":282,"license":283},{"parentExtensionId":840,"repoId":841},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy",[214,836,837,219,835,834],{"evaluatedAt":844,"extractAt":845,"updatedAt":846},1778693678813,1778693539593,1778693832942,{"_creationTime":848,"_id":849,"community":850,"display":851,"identity":853,"providers":854,"relations":860,"tags":861,"workflow":862},1778696595410.5618,"k174h4yhwrcpcmdx62n2g2b88986mx17",{"reviewCount":8},{"description":475,"installMethods":852,"name":476,"sourceUrl":14},{"claudeCode":12},{"basePath":474,"githubOwner":248,"githubRepo":249,"locale":18,"slug":476,"type":250},{"evaluate":855,"extract":859},{"promptVersionExtension":207,"promptVersionScoring":208,"score":832,"tags":856,"targetMarket":220,"tier":221},[798,857,217,858,216,299],"collaboration","llm-ops",{"commitSha":282},{"parentExtensionId":253,"repoId":289},[798,857,217,858,216,299],{"evaluatedAt":863,"extractAt":293,"updatedAt":863},1778696637446,{"_creationTime":865,"_id":866,"community":867,"display":868,"identity":874,"providers":877,"relations":885,"tags":888,"workflow":889},1778675056600.238,"k17bzapecn7k6jdgt1ag6rda2s86m06p",{"reviewCount":8},{"description":869,"installMethods":870,"name":872,"sourceUrl":873},"Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.",{"claudeCode":871},"alirezarezvani/claude-skills","rag-architect","https://github.com/alirezarezvani/claude-skills",{"basePath":875,"githubOwner":876,"githubRepo":801,"locale":18,"slug":872,"type":250},"engineering/skills/rag-architect","alirezarezvani",{"evaluate":878,"extract":884},{"promptVersionExtension":207,"promptVersionScoring":208,"score":832,"tags":879,"targetMarket":220,"tier":221},[880,219,881,882,883,217],"rag","embedding","vector-search","retrieval",{"commitSha":282},{"parentExtensionId":886,"repoId":887},"k173223hfbd6c4mx6r1jdx23wn86mbpb","kd7ff9s1w43mfyy1n7hf87816186m6px",[881,217,219,880,883,882],{"evaluatedAt":890,"extractAt":891,"updatedAt":890},1778678924736,1778675056600,{"_creationTime":893,"_id":894,"community":895,"display":896,"identity":902,"providers":906,"relations":913,"tags":916,"workflow":917},1778675291492.6484,"k17agpm4ma1bjqydbc6e6w2sr186m0k8",{"reviewCount":8},{"description":897,"installMethods":898,"name":900,"sourceUrl":901},"Investigación recursiva profunda con loop auto-regulado hasta nivel PhD. Aplicable a cualquier dominio (ciencia, tecnología, negocio, arte, humanidades). Usa WDM + Inversión Munger para decisiones autónomas, tiering de fuentes confiables, y checkpointing a disco para sobrevivir límites de contexto.",{"claudeCode":899},"Anjos2/recursive-research","recursive-research","https://github.com/Anjos2/recursive-research",{"basePath":903,"githubOwner":904,"githubRepo":900,"locale":905,"slug":900,"type":250},"plugins/recursive-research/skills/recursive-research","Anjos2","es",{"evaluate":907,"extract":912},{"promptVersionExtension":207,"promptVersionScoring":208,"score":832,"tags":908,"targetMarket":220,"tier":221},[909,217,219,910,911],"research","decision-making","documentation",{"commitSha":282},{"parentExtensionId":914,"repoId":915},"k178rg6vs234c409g28ca6arbd86n5a1","kd753d1f20n4nwaapq6yp8vhd186nzxp",[910,911,217,219,909],{"evaluatedAt":918,"extractAt":919,"updatedAt":920},1778675358883,1778675291492,1778675391687,{"_creationTime":922,"_id":923,"community":924,"display":925,"identity":928,"providers":929,"relations":934,"tags":935,"workflow":936},1778696595410.5698,"k171sdysmt658g1cdd7hgt8p8h86nms7",{"reviewCount":8},{"description":779,"installMethods":926,"name":927,"sourceUrl":14},{"claudeCode":12},"Wrap-Up Ritual",{"basePath":778,"githubOwner":248,"githubRepo":249,"locale":18,"slug":780,"type":250},{"evaluate":930,"extract":933},{"promptVersionExtension":207,"promptVersionScoring":208,"score":832,"tags":931,"targetMarket":220,"tier":221},[278,219,216,835,300,932],"code-quality",{"commitSha":282,"license":283},{"parentExtensionId":253,"repoId":289},[932,300,219,835,216,278],{"evaluatedAt":937,"extractAt":293,"updatedAt":937},1778697164619,{"_creationTime":939,"_id":940,"community":941,"display":942,"identity":948,"providers":953,"relations":961,"tags":964,"workflow":965},1778696691708.3274,"k170az7r02e9e2v47mpy80kx6n86nff3",{"reviewCount":8},{"description":943,"installMethods":944,"name":946,"sourceUrl":947},"Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy",{"claudeCode":945},"ruvnet/ruflo","Trader Regime","https://github.com/ruvnet/ruflo",{"basePath":949,"githubOwner":950,"githubRepo":951,"locale":18,"slug":952,"type":250},"plugins/ruflo-neural-trader/skills/trader-regime","ruvnet","ruflo","trader-regime",{"evaluate":954,"extract":960},{"promptVersionExtension":207,"promptVersionScoring":208,"score":832,"tags":955,"targetMarket":220,"tier":221},[956,834,957,214,958,959],"finance","market-analysis","typescript","cli",{"commitSha":282,"license":283},{"parentExtensionId":962,"repoId":963},"k17drge8h1fgzchr0p4jaeg33n86mwmy","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[214,959,956,957,834,958],{"evaluatedAt":966,"extractAt":967,"updatedAt":966},1778701108877,1778696691708]