[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-cdeust-cortex-setup-project-de":3,"guides-for-cdeust-cortex-setup-project":781,"similar-k17abqax413c73snnqv2njvffx86nwjb-de":782},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":249,"isFallback":231,"parentExtension":255,"providers":312,"relations":316,"repo":317,"tags":779,"workflow":780},1778683562157.8782,"k17abqax413c73snnqv2njvffx86nwjb",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Bootstrap Cortex for a new project or import existing session history. Use when the user says 'set up Cortex', 'seed this project', 'import my history', 'backfill memories', 'bootstrap memory', 'initialize Cortex for this project', or when starting to use Cortex on an existing codebase that already has Claude Code conversation history.",{"claudeCode":12},"cdeust/Cortex","Cortex Setup Project","https://github.com/cdeust/Cortex",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":229,"workflow":247},1778683889696.689,"kn72wvctb1701zax452a4rvn3n86nng2","en",{"checks":20,"evaluatedAt":193,"extensionSummary":194,"features":195,"nonGoals":201,"practices":205,"prerequisites":206,"promptVersionExtension":210,"promptVersionScoring":211,"purpose":212,"rationale":213,"score":214,"summary":215,"tags":216,"targetMarket":222,"tier":223,"useCases":224},[21,26,29,33,37,41,45,48,52,56,60,63,66,69,73,76,79,83,86,89,93,97,100,104,107,110,113,116,119,122,126,129,133,137,140,143,146,149,153,156,159,162,165,168,171,175,179,183,186,190],{"category":22,"check":23,"severity":24,"summary":25},"Invocation","Precise Purpose","pass","The skill clearly states its purpose: bootstrapping Cortex for new projects or importing history. It names the artifact (Cortex memory/project setup) and the user intent (setup, import, bootstrap). The description includes explicit triggers and boundaries in the first paragraph.",{"category":22,"check":27,"severity":24,"summary":28},"Concise Frontmatter","The frontmatter is concise and self-contained, accurately summarizing the core capability and including relevant trigger phrases within the character limit.",{"category":30,"check":31,"severity":24,"summary":32},"Documentation","Concise Body","The SKILL.md body is concise and well-structured, outlining the phases and delegating deeper material to separate files as needed.",{"category":34,"check":35,"severity":24,"summary":36},"Context","Progressive Disclosure","The SKILL.md outlines the workflow and links to external resources for setup details, adhering to progressive disclosure.",{"category":34,"check":38,"severity":39,"summary":40},"Forked exploration","not_applicable","This skill is a setup and initialization task, not an exploration or audit-style skill that would require forked context.",{"category":42,"check":43,"severity":24,"summary":44},"Practical Utility","Usage examples","The README provides clear, ready-to-use examples for installation and initial verification, demonstrating the core functionality.",{"category":42,"check":46,"severity":24,"summary":47},"Edge cases","The SKILL.md handles edge cases like infrastructure verification failures and optional pipeline installation, documenting failure modes and recovery steps.",{"category":49,"check":50,"severity":39,"summary":51},"Code Execution","Tool Fallback","The skill relies on Claude-internal tools and does not reference external MCP servers, making this check not applicable.",{"category":53,"check":54,"severity":24,"summary":55},"Safety","Halt on unexpected state","The skill specifies that it should abort and report errors if infrastructure checks fail, indicating a halt on unexpected pre-state.",{"category":57,"check":58,"severity":24,"summary":59},"Portability","Cross-skill coupling","The skill is self-contained and focuses on Cortex setup, not implicitly relying on other skills. It clearly states its purpose and does not cross-reference or handle tasks belonging to other skills.",{"category":42,"check":61,"severity":24,"summary":62},"Problem relevance","The description clearly names the problem of bootstrapping Cortex and importing session history, providing specific trigger phrases and use cases.",{"category":42,"check":64,"severity":24,"summary":65},"Unique selling proposition","The skill offers significant value over a simple prompt by automating a multi-phase, complex setup process including infrastructure verification, dependency installation, and configuration.",{"category":42,"check":67,"severity":24,"summary":68},"Production readiness","The extension provides a fully autonomous setup process for Cortex, covering infrastructure, configuration, and data import, making it ready for production workflows.",{"category":70,"check":71,"severity":24,"summary":72},"Scope","Single responsibility principle","The skill focuses solely on the bootstrapping and initial setup of Cortex for a project, adhering to a single responsibility.",{"category":70,"check":74,"severity":24,"summary":75},"Description quality","The displayed description accurately reflects the skill's functionality as outlined in the SKILL.md, including specific trigger phrases and use cases.",{"category":22,"check":77,"severity":24,"summary":78},"Scoped tools","The skill uses specific, scoped tools like `cortex:memory_stats`, `cortex:rebuild_profiles`, `cortex:seed_project`, and `cortex:backfill_memories`, avoiding general-purpose command execution.",{"category":30,"check":80,"severity":81,"summary":82},"Configuration & parameter reference","info","While the SKILL.md details the workflow and tool calls, it does not explicitly list all parameters for each tool or default values.",{"category":70,"check":84,"severity":24,"summary":85},"Tool naming","The tool names used (e.g., `cortex:memory_stats`) are descriptive and clearly indicate their function within the Cortex domain.",{"category":70,"check":87,"severity":24,"summary":88},"Minimal I/O surface","The tools used appear to have focused input schemas (e.g., dry_run flag) and return specific counts or status, not broad diagnostic dumps.",{"category":90,"check":91,"severity":24,"summary":92},"License","License usability","The extension is licensed under the MIT license, which is a permissive open-source license.",{"category":94,"check":95,"severity":24,"summary":96},"Maintenance","Commit recency","The repository shows recent commits, indicating active maintenance.",{"category":94,"check":98,"severity":24,"summary":99},"Dependency Management","The project uses pnpm and has a lockfile, indicating proper dependency management for its Node.js components.",{"category":101,"check":102,"severity":24,"summary":103},"Security","Secret Management","The skill does not appear to handle or expose secrets; its operations are primarily local setup and tool calls.",{"category":101,"check":105,"severity":24,"summary":106},"Injection","The script execution appears controlled, calling specific tools and not relying on arbitrary external data for execution instructions.",{"category":101,"check":108,"severity":24,"summary":109},"Transitive Supply-Chain Grenades","The skill does not fetch external code or data at runtime; installation relies on bundled code and pre-existing dependencies.",{"category":101,"check":111,"severity":24,"summary":112},"Sandbox Isolation","The skill operates locally and primarily interacts with the Cortex tooling and PostgreSQL, without evidence of attempting to modify files outside its designated scope.",{"category":101,"check":114,"severity":24,"summary":115},"Sandbox escape primitives","No detached process spawns or deny-retry loops were observed in the provided script snippets.",{"category":101,"check":117,"severity":24,"summary":118},"Data Exfiltration","The skill is designed for local setup and does not appear to exfiltrate any data to third parties.",{"category":101,"check":120,"severity":24,"summary":121},"Hidden Text Tricks","The bundled content and scripts are free of hidden steering tricks, obfuscation, or malicious Unicode characters.",{"category":123,"check":124,"severity":24,"summary":125},"Hooks","Opaque code execution","The bundled scripts are readable and do not use obfuscation techniques like base64 encoding or runtime fetching for execution.",{"category":57,"check":127,"severity":24,"summary":128},"Structural Assumption","The script for installing the pipeline (`setup.sh`) uses relative paths and checks for sibling checkouts, indicating it handles project structure reasonably.",{"category":130,"check":131,"severity":24,"summary":132},"Trust","Issues Attention","With 0 open issues and 16 closed issues in the last 90 days, maintainer engagement is high.",{"category":134,"check":135,"severity":24,"summary":136},"Versioning","Release Management","The project declares a clear version (e.g., v3.15.0) and maintains a changelog, indicating good release management.",{"category":49,"check":138,"severity":24,"summary":139},"Validation","The script for installing the pipeline uses standard bash commands and `cargo install`, which have their own validation. Specific tool calls within Cortex appear to be handled by the Cortex framework itself.",{"category":101,"check":141,"severity":24,"summary":142},"Unguarded Destructive Operations","The setup script installs dependencies and configures services, but doesn't perform arbitrary destructive operations like `rm -rf` without clear intent and control.",{"category":49,"check":144,"severity":24,"summary":145},"Error Handling","The SKILL.md explicitly states that if a phase fails, it should attempt automatic recovery before reporting the error and stopping, indicating robust error handling.",{"category":49,"check":147,"severity":24,"summary":148},"Logging","The skill's output during setup phases would serve as an audit log of the actions taken and their outcomes.",{"category":150,"check":151,"severity":39,"summary":152},"Compliance","GDPR","The skill is for project setup and does not handle personal data.",{"category":150,"check":154,"severity":24,"summary":155},"Target market","The extension is designed for local installation and operation, with no regional or jurisdictional limitations detected; its target market is global.",{"category":57,"check":157,"severity":24,"summary":158},"Runtime stability","The installation script targets common POSIX environments (bash) and includes a Windows/cross-platform Python script, suggesting broad runtime compatibility.",{"category":30,"check":160,"severity":24,"summary":161},"README","The README provides a comprehensive overview of the project, its features, and companion projects.",{"category":70,"check":163,"severity":39,"summary":164},"Tool surface size","This is a skill, not a CLI or MCP server, and its primary function is a single setup workflow.",{"category":22,"check":166,"severity":24,"summary":167},"Overlapping near-synonym tools","The skill utilizes specific Cortex tools and does not expose overlapping near-synonym commands.",{"category":30,"check":169,"severity":24,"summary":170},"Phantom features","All advertised setup capabilities are implemented and detailed in the SKILL.md and README.",{"category":172,"check":173,"severity":24,"summary":174},"Install","Installation instruction","The README provides clear, copy-pasteable installation instructions for Claude Code and a verification command.",{"category":176,"check":177,"severity":24,"summary":178},"Errors","Actionable error messages","The SKILL.md specifies reporting errors with output and stopping, implying actionable error reporting for setup failures.",{"category":180,"check":181,"severity":24,"summary":182},"Execution","Pinned dependencies","The project uses pnpm and includes a lockfile for dependency management, ensuring pinned versions.",{"category":70,"check":184,"severity":39,"summary":185},"Dry-run preview","The skill is primarily for initial setup and installation, not for state-changing operations that would typically require a dry-run preview.",{"category":187,"check":188,"severity":39,"summary":189},"Protocol","Idempotent retry & timeouts","This skill is a one-time setup process and does not involve remote calls or state-changing operations that require idempotency or timeouts in the context of an agent skill.",{"category":101,"check":191,"severity":24,"summary":192},"Telemetry opt-in","There is no indication of telemetry being collected or transmitted by this setup skill.",1778683889103,"This skill automates the complete setup process for the Cortex persistent memory engine, including installing dependencies like PostgreSQL and pgvector, building cognitive profiles, seeding the codebase, and importing session history.",[196,197,198,199,200],"Automated PostgreSQL and pgvector installation","Builds cognitive profiles from session history","Seeds project codebase for analysis","Imports existing conversation history","Handles optional pipeline installation for deeper analysis",[202,203,204],"Performing operations outside of the initial Cortex setup and bootstrapping process","Requiring manual user intervention for setup steps","Blocking setup on optional components like the pipeline if unavailable",[],[207,208,209],"Bash shell","Python 3.10+","pnpm","3.0.0","4.4.0","Automate the initial setup and configuration of Cortex for new projects or existing codebases, ensuring a seamless start and historical context integration.","The skill is well-documented, robustly handles errors and setup scenarios, and adheres to best practices for security and maintenance. Minor info finding on parameter documentation.",97,"Excellent skill for automating Cortex setup and project bootstrapping.",[217,218,219,220,221],"cortex","setup","bootstrap","memory","ai-agent","global","verified",[225,226,227,228],"Use when starting a new project with Cortex","Use when importing past conversation history into Cortex","Use when initializing Cortex on an existing codebase","Use when the user requests to 'set up Cortex' or 'bootstrap memory'",{"codeQuality":230,"collectedAt":232,"documentation":233,"maintenance":236,"popularity":241,"security":243,"testCoverage":246},{"hasLockfile":231},true,1778683871856,{"descriptionLength":234,"readmeSize":235},337,36381,{"closedIssues90d":237,"forks":238,"hasChangelog":231,"openIssues90d":8,"pushedAt":239,"stars":240},16,8,1778675198000,33,{"npmDownloads":242},14,{"hasNpmPackage":231,"license":244,"smitheryVerified":245},"NOASSERTION",false,{"hasCi":231,"hasTests":231},{"updatedAt":248},1778683889696,{"basePath":250,"githubOwner":251,"githubRepo":252,"locale":18,"slug":253,"type":254},"skills/cortex-setup-project","cdeust","Cortex","cortex-setup-project","skill",{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":262,"parentExtension":265,"providers":299,"relations":308,"tags":309,"workflow":310},1778683562157.8752,"k1739s9t9kj9bmjq1z4byk17g986mv7x",{"reviewCount":8},{"description":260,"installMethods":261,"name":252,"sourceUrl":14},"Persistent memory and cognitive profiling for Claude Code — thermodynamic memory with heat/decay, intent-aware retrieval, biological plasticity, codebase intelligence, and cognitive profiling. 47 MCP tools with enriched schemas. PostgreSQL + pgvector in CLI mode; automatic SQLite fallback in Cowork/sandboxed mode. Curated wiki (ADRs, specs, lessons) with audit-artefact filtering. Consolidate is set-based SQL batched — decay/plasticity/pruning run 100-500× faster on large stores. Workflow graph with caller-qualified CALLS chains rendering full method-to-method dependencies (native tree-sitter, no AP required). Side panel humanized for non-technical users. Ingests codebase analysis (ai-automatised-pipeline) and PRDs (prd-spec-generator) into wiki + memory + knowledge graph. Docker image available.",{"claudeCode":252},{"basePath":263,"githubOwner":251,"githubRepo":252,"locale":18,"slug":252,"type":264},"","plugin",{"_creationTime":266,"_id":267,"community":268,"display":269,"identity":273,"providers":275,"relations":293,"tags":295,"workflow":296},1778683562157.875,"k174pnm5ch9ab6fr1etef2f2b586m74b",{"reviewCount":8},{"description":270,"installMethods":271,"name":272,"sourceUrl":14},"Persistent memory and cognitive profiling plugins for Claude Code",{"claudeCode":12},"cortex-plugins",{"basePath":263,"githubOwner":251,"githubRepo":252,"locale":18,"slug":252,"type":274},"marketplace",{"evaluate":276,"extract":287},{"promptVersionExtension":277,"promptVersionScoring":211,"score":278,"tags":279,"targetMarket":222,"tier":223},"3.1.0",100,[220,280,281,282,283,284,285,286],"cognitive-profiling","mcp","claude-code","knowledge-graph","codebase-analysis","postgresql","pgvector",{"commitSha":288,"marketplace":289,"plugin":291},"HEAD",{"name":272,"pluginCount":290},1,{"mcpCount":8,"provider":292,"skillCount":8},"classify",{"repoId":294},"kd79gxpemvkr09a7zsb3h8kmah86nvgf",[282,284,280,283,281,220,286,285],{"evaluatedAt":297,"extractAt":298,"updatedAt":297},1778683583007,1778683562157,{"evaluate":300,"extract":305},{"promptVersionExtension":210,"promptVersionScoring":211,"score":301,"tags":302,"targetMarket":222,"tier":223},99,[220,303,283,280,285,286,304],"persistence","developer-tools",{"commitSha":288,"license":306,"plugin":307},"MIT",{"mcpCount":8,"provider":292,"skillCount":242},{"parentExtensionId":267,"repoId":294},[280,304,283,220,303,286,285],{"evaluatedAt":311,"extractAt":298,"updatedAt":311},1778683602463,{"evaluate":313,"extract":315},{"promptVersionExtension":210,"promptVersionScoring":211,"score":214,"tags":314,"targetMarket":222,"tier":223},[217,218,219,220,221],{"commitSha":288,"license":306},{"parentExtensionId":257,"repoId":294},{"_creationTime":318,"_id":294,"identity":319,"providers":320,"workflow":774},1778683544930.988,{"githubOwner":251,"githubRepo":252,"sourceUrl":14},{"classify":321,"discover":746,"extract":749,"github":750,"npm":773},{"commitSha":288,"extensions":322},[323,336,348,357,365,373,381,389,397,405,413,421,429,437,442,450,458],{"basePath":263,"description":270,"displayName":272,"installMethods":324,"rationale":325,"selectedPaths":326,"source":335,"sourceLanguage":18,"type":274},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[327,330,332],{"path":328,"priority":329},".claude-plugin/marketplace.json","mandatory",{"path":331,"priority":329},"README.md",{"path":333,"priority":334},"LICENSE","high","rule",{"basePath":263,"description":260,"displayName":217,"installMethods":337,"rationale":338,"selectedPaths":339,"source":335,"sourceLanguage":18,"type":264},{"claudeCode":252},"inline plugin source from marketplace.json at /",[340,341,342,344,346],{"path":331,"priority":329},{"path":333,"priority":334},{"path":343,"priority":329},".mcp.json",{"path":345,"priority":334},"agents/cortex-wiki-groomer.md",{"path":347,"priority":334},"commands/methodology.md",{"basePath":349,"description":350,"displayName":351,"installMethods":352,"rationale":353,"selectedPaths":354,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-automate","Set up automation — prospective memory triggers, neuro-symbolic rules, and CLAUDE.md sync. Use when the user says 'remind me when', 'trigger when', 'create a rule', 'auto-remember', 'sync to CLAUDE.md', 'push insights', 'set up trigger', 'when I open this file', 'when this keyword appears', or when you want to automate memory behavior based on conditions.","cortex-automate",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-automate/SKILL.md",[355],{"path":356,"priority":329},"SKILL.md",{"basePath":358,"description":359,"displayName":360,"installMethods":361,"rationale":362,"selectedPaths":363,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-consolidate","Run memory maintenance — decay old memories, compress stale content, consolidate episodic memories into semantic knowledge, and run sleep-like replay. Use when the user says 'clean up memories', 'consolidate', 'run maintenance', 'compress old memories', 'memory cleanup', or periodically to keep the memory system healthy. Also use after importing many memories or at the end of a long session.","cortex-consolidate",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-consolidate/SKILL.md",[364],{"path":356,"priority":329},{"basePath":366,"description":367,"displayName":368,"installMethods":369,"rationale":370,"selectedPaths":371,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-debug-memory","Debug and fix memory system issues — validate memories, rate quality, manage protection, forget bad memories, and restore from checkpoints. Use when the user says 'fix memory', 'bad memory', 'wrong memory', 'delete this', 'protect this', 'this memory is wrong', 'memory quality', 'rate this memory', 'restore checkpoint', 'undo', or when memories are returning incorrect or stale results.","cortex-debug-memory",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-debug-memory/SKILL.md",[372],{"path":356,"priority":329},{"basePath":374,"description":375,"displayName":376,"installMethods":377,"rationale":378,"selectedPaths":379,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-explore-memory","Explore the memory system's state, find gaps in knowledge, assess coverage, and get diagnostic information. Use when the user asks 'what does my memory look like', 'show me memory stats', 'what am I missing', 'how good is my knowledge', 'memory health', 'show coverage', 'find gaps', 'what topics are weak', or when you need to understand the state of stored knowledge before a task.","cortex-explore-memory",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-explore-memory/SKILL.md",[380],{"path":356,"priority":329},{"basePath":382,"description":383,"displayName":384,"installMethods":385,"rationale":386,"selectedPaths":387,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-import","Import memories from other AI memory systems into Cortex. Supports claude-mem (SQLite), Claude Desktop sessions, ChatGPT web export (JSON), Gemini Takeout (JSON), Cursor conversations, and Claude Code JSONL. Use when the user says 'import from claude-mem', 'migrate memories', 'import ChatGPT history', 'import from Gemini', 'transfer memories', or when Cortex detects another memory system is installed.","cortex-import",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-import/SKILL.md",[388],{"path":356,"priority":329},{"basePath":390,"description":391,"displayName":392,"installMethods":393,"rationale":394,"selectedPaths":395,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-navigate-knowledge","Navigate the knowledge graph — trace entity relationships, explore causal chains, drill into memory clusters, and traverse co-access paths. Use when the user asks 'how are these related', 'what connects X to Y', 'show me the knowledge graph', 'trace the relationship', 'what caused X', 'drill down into', 'explore connections', or when you need to understand the web of relationships between concepts, entities, and memories.","cortex-navigate-knowledge",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-navigate-knowledge/SKILL.md",[396],{"path":356,"priority":329},{"basePath":398,"description":399,"displayName":400,"installMethods":401,"rationale":402,"selectedPaths":403,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-profile","View and manage your cognitive profile — how you think, work patterns, blind spots, and cross-domain connections. Use when the user says 'show my profile', 'how do I work', 'what are my patterns', 'cognitive style', 'blind spots', 'methodology', or at the start of a session to load context. Also use 'rebuild profile' to rescan all session history, or 'list domains' to see all tracked project domains.","cortex-profile",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-profile/SKILL.md",[404],{"path":356,"priority":329},{"basePath":406,"description":407,"displayName":408,"installMethods":409,"rationale":410,"selectedPaths":411,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-recall","Search and retrieve memories from Cortex persistent memory. Use when the user asks 'what did we decide about X', 'do you remember', 'what was the fix for', 'find that thing about', 'search memories', 'what do we know about', 'have we seen this before', or when you need context about past decisions, patterns, bugs, or architecture choices. Also use proactively when working on something that likely has relevant historical context.","cortex-recall",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-recall/SKILL.md",[412],{"path":356,"priority":329},{"basePath":414,"description":415,"displayName":416,"installMethods":417,"rationale":418,"selectedPaths":419,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-recall-global","Search and retrieve global memories — knowledge that applies across all projects. Use when the user asks 'what are our coding standards', 'what conventions do we follow', 'what's our infrastructure setup', 'do we have a rule about', 'what applies to all projects', 'shared knowledge', 'global rules', or when you need cross-project context like architecture decisions, server configs, or team policies.","cortex-recall-global",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-recall-global/SKILL.md",[420],{"path":356,"priority":329},{"basePath":422,"description":423,"displayName":424,"installMethods":425,"rationale":426,"selectedPaths":427,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-remember","Store important decisions, patterns, errors, lessons, and context into Cortex persistent memory. Use when the user says 'remember this', 'save this', 'store this for later', 'note this down', 'don't forget', 'this is important', 'bookmark this', or when a significant decision, bug fix, architecture choice, or lesson learned occurs during a session. Also use after resolving tricky bugs, making technology choices, or discovering important patterns.","cortex-remember",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-remember/SKILL.md",[428],{"path":356,"priority":329},{"basePath":430,"description":431,"displayName":432,"installMethods":433,"rationale":434,"selectedPaths":435,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-remember-global","Store a global memory that is visible across all projects. Use when the user shares architecture rules, coding conventions, infrastructure facts, security policies, team agreements, or any knowledge that applies beyond a single project. Triggers on 'remember this everywhere', 'this applies to all projects', 'global rule', 'shared convention', 'infrastructure note', 'cross-project', or when the content is clearly universal (clean architecture, SOLID, deployment configs, server addresses).","cortex-remember-global",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-remember-global/SKILL.md",[436],{"path":356,"priority":329},{"basePath":250,"description":10,"displayName":253,"installMethods":438,"rationale":439,"selectedPaths":440,"source":335,"sourceLanguage":18,"type":254},{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-setup-project/SKILL.md",[441],{"path":356,"priority":329},{"basePath":443,"description":444,"displayName":445,"installMethods":446,"rationale":447,"selectedPaths":448,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-visualize","Launch the interactive unified neural graph visualization. Use when the user says 'show visualization', 'show me the graph', 'visualize memories', 'show memory map', 'open neural graph', or when a visual overview of the memory system or cognitive profile would be helpful.","cortex-visualize",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-visualize/SKILL.md",[449],{"path":356,"priority":329},{"basePath":451,"description":452,"displayName":453,"installMethods":454,"rationale":455,"selectedPaths":456,"source":335,"sourceLanguage":18,"type":254},"skills/cortex-wiki-author","Author first-class wiki pages (ADRs, specs, file docs, notes) that live alongside Cortex memory. Use when the user says 'this is an ADR', 'document this decision', 'write an ADR', 'add a spec', 'spec this out', 'document this file', 'add a note about', 'link these pages', 'bookmark this as a spec', or when finalizing a design decision that should persist as a human-readable document.","cortex-wiki-author",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-wiki-author/SKILL.md",[457],{"path":356,"priority":329},{"basePath":263,"description":459,"displayName":460,"installMethods":461,"license":306,"rationale":462,"selectedPaths":463,"source":335,"sourceLanguage":18,"type":281},"Persistent memory and cognitive profiling for Claude Code","neuro-cortex-memory",{"pypi":460},"pyproject.toml with mcp/fastmcp dependency + scripts at 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LongMemEval R@10 98.4% / MRR 0.9124 (n=500). LoCoMo R@10 94.2% / MRR 0.8278 (n=1986). BEAM-10M +33.4% over flat retrieval. PostgreSQL + pgvector. Verified via 31-row two-benchmark ablation campaign.","https://ai-architect.tools",[754,755,756,757,282,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772],"mcp-server","model-context-protocol","agent-memory-system","causal-inference","claude-code-plugin","cognitive-architecture","cognitive-science","neuroscience","persistent-memory","predictive-coding","retrieval-augmented-generation","vector-search","hopfield-network","long-term-memory","episodic-memory","llm-memory","anthropic","artificial-intelligence","claude",{"downloads":242},{"classifiedAt":775,"discoverAt":776,"extractAt":777,"githubAt":777,"npmAt":778,"updatedAt":775},1778683561790,1778683544931,1778683554398,1778683559402,[221,219,217,220,218],{"evaluatedAt":248,"extractAt":298,"updatedAt":248},[],[783,809,828,858,887,918],{"_creationTime":784,"_id":785,"community":786,"display":787,"identity":793,"providers":796,"relations":803,"tags":805,"workflow":806},1778687183932.1943,"k1728svzyq5wfc93gjyntemgnh86m6d9",{"reviewCount":8},{"description":788,"installMethods":789,"name":791,"sourceUrl":792},"Set up gbrain for this coding agent: install the CLI, initialize a\nlocal PGLite or Supabase brain, register MCP, capture per-remote trust\npolicy. One command from zero to \"gbrain is running, and this agent\ncan call it.\" Use when: \"setup gbrain\", \"connect gbrain\", \"start\ngbrain\", \"install gbrain\", \"configure gbrain for this machine\". (gstack)\n",{"claudeCode":790},"garrytan/gstack","setup-gbrain","https://github.com/garrytan/gstack",{"basePath":791,"githubOwner":794,"githubRepo":795,"locale":18,"slug":791,"type":254},"garrytan","gstack",{"evaluate":797,"extract":802},{"promptVersionExtension":210,"promptVersionScoring":211,"score":278,"tags":798,"targetMarket":222,"tier":223},[799,218,800,221,801,281],"gbrain","configuration","cli",{"commitSha":288},{"repoId":804},"kd73s35xh97m9mmc5nz3pb1f3n86m0an",[221,801,800,799,281,218],{"evaluatedAt":807,"extractAt":808,"updatedAt":807},1778688428238,1778687183932,{"_creationTime":810,"_id":811,"community":812,"display":813,"identity":816,"providers":817,"relations":824,"tags":825,"workflow":826},1778683562157.876,"k1773yt8sw9dadgz7yjmazhcsn86nzzr",{"reviewCount":8},{"description":367,"installMethods":814,"name":815,"sourceUrl":14},{"claudeCode":12},"Cortex Debug Memory",{"basePath":366,"githubOwner":251,"githubRepo":252,"locale":18,"slug":368,"type":254},{"evaluate":818,"extract":823},{"promptVersionExtension":210,"promptVersionScoring":211,"score":278,"tags":819,"targetMarket":222,"tier":223},[220,820,821,822,217],"debugging","retrieval","management",{"commitSha":288,"license":306},{"parentExtensionId":257,"repoId":294},[217,820,822,220,821],{"evaluatedAt":827,"extractAt":298,"updatedAt":827},1778683671375,{"_creationTime":829,"_id":830,"community":831,"display":832,"identity":838,"providers":842,"relations":850,"tags":853,"workflow":854},1778699508017.8022,"k17ayarn0e5prt2n3bh82hxn5n86nv51",{"reviewCount":8},{"description":833,"installMethods":834,"name":836,"sourceUrl":837},"Context Runtime für KI-Agenten — 59 MCP-Tools, 10 Lesemodi, über 95 Shell-Muster, Tree-sitter AST für 18 Sprachen. Komprimiert LLM-Kontext um bis zu 99%. Verwenden Sie es beim Lesen von Dateien, Ausführen von Shell-Befehlen, Suchen von Code oder Erkunden von Verzeichnissen. Automatische Installation, falls nicht vorhanden.",{"claudeCode":835},"yvgude/lean-ctx","lean-ctx","https://github.com/yvgude/lean-ctx",{"basePath":839,"githubOwner":840,"githubRepo":836,"locale":841,"slug":836,"type":254},"skills/lean-ctx","yvgude","de",{"evaluate":843,"extract":849},{"promptVersionExtension":210,"promptVersionScoring":211,"score":278,"tags":844,"targetMarket":222,"tier":223},[845,221,846,304,847,848],"context-compression","cli-tools","rust","code-analysis",{"commitSha":288},{"repoId":851,"translatedFrom":852},"kd7dxtfr9j3z54hs3bz0218e1n86may0","k170fxxh22hdspg4vr94whgj1986mpr9",[221,846,848,845,304,847],{"evaluatedAt":855,"extractAt":856,"updatedAt":857},1778699456179,1778699438912,1778699508017,{"_creationTime":859,"_id":860,"community":861,"display":862,"identity":868,"providers":872,"relations":880,"tags":883,"workflow":884},1778696833339.6243,"k174g80xa9zxhydbncvpf0xzy986nvx5",{"reviewCount":8},{"description":863,"installMethods":864,"name":866,"sourceUrl":867},"Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.",{"claudeCode":865},"sanjay3290/ai-skills","manus","https://github.com/sanjay3290/ai-skills",{"basePath":869,"githubOwner":870,"githubRepo":871,"locale":18,"slug":866,"type":254},"skills/manus","sanjay3290","ai-skills",{"evaluate":873,"extract":879},{"promptVersionExtension":210,"promptVersionScoring":211,"score":278,"tags":874,"targetMarket":222,"tier":223},[221,875,876,877,878],"autonomous-execution","research","automation","api-integration",{"commitSha":288},{"parentExtensionId":881,"repoId":882},"k17es37z10n1sw6t2m3f0vsydx86mnje","kd71np0fyqg23qg8w2hcfw0h0h86nkn0",[221,878,877,875,876],{"evaluatedAt":885,"extractAt":886,"updatedAt":885},1778697107270,1778696833339,{"_creationTime":888,"_id":889,"community":890,"display":891,"identity":897,"providers":902,"relations":909,"tags":913,"workflow":914},1778693810753.2522,"k17e9x8nbeqn99r3hpez0fzfs186n9jv",{"reviewCount":8},{"description":892,"installMethods":893,"name":895,"sourceUrl":896},"Risikomanagement-Domänenwissen für Handelsagenten – Überwachung des affektiven Zustands, Positionsbestimmung, Drawdown-Management, Tilt-Erkennung und Verhaltensrichtlinien. Verwenden Sie dies beim Prüfen des Risikos vor Trades, beim Verwalten von Drawdowns, beim Erkennen von Verhaltensabweichungen oder beim Erzwingen von Disziplin. Löst bei \"risk\", \"drawdown\", \"tilt\", \"position size\", \"lot size\", \"confidence\", \"revenge trading\", \"overtrading\", \"discipline\" aus.",{"claudeCode":894},"mnemox-ai/tradememory-protocol","Risk Management","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":898,"githubOwner":899,"githubRepo":900,"locale":841,"slug":901,"type":254},"tradememory-plugin/skills/risk-management","mnemox-ai","tradememory-protocol","risk-management",{"evaluate":903,"extract":908},{"promptVersionExtension":210,"promptVersionScoring":211,"score":278,"tags":904,"targetMarket":222,"tier":223},[905,901,221,906,907],"trading","behavioral-analysis","finance",{"commitSha":288,"license":306},{"parentExtensionId":910,"repoId":911,"translatedFrom":912},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy","k17bgwvhb6h29py715de1cm9xd86msq6",[221,906,907,901,905],{"evaluatedAt":915,"extractAt":916,"updatedAt":917},1778693700524,1778693539593,1778693810753,{"_creationTime":919,"_id":920,"community":921,"display":922,"identity":928,"providers":933,"relations":941,"tags":943,"workflow":944},1778683190010.286,"k17bhh6s25qm1c5w7g2rfaknyd86nysv",{"reviewCount":8},{"description":923,"installMethods":924,"name":926,"sourceUrl":927},"Guide for creating effective skills",{"claudeCode":925},"bobmatnyc/claude-mpm-skills","Skill Creator","https://github.com/bobmatnyc/claude-mpm-skills",{"basePath":929,"githubOwner":930,"githubRepo":931,"locale":18,"slug":932,"type":254},"universal/main/skill-creator","bobmatnyc","claude-mpm-skills","skill-creator",{"evaluate":934,"extract":940},{"promptVersionExtension":210,"promptVersionScoring":211,"score":278,"tags":935,"targetMarket":222,"tier":223},[936,937,221,938,939],"documentation","skill-creation","developer-tool","framework",{"commitSha":288,"license":306},{"repoId":942},"kd72g55e5qeqs90bk1bvkt8wbx86nkn3",[221,938,936,939,937],{"evaluatedAt":945,"extractAt":946,"updatedAt":945},1778686498077,1778683190010]