[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-cdeust-cortex-recall-global-zh-CN":3,"guides-for-cdeust-cortex-recall-global":777,"similar-k17c72vtds1zvyhh0pa58kgfd186nws5-zh-CN":778},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":245,"isFallback":227,"parentExtension":250,"providers":307,"relations":311,"repo":312,"tags":775,"workflow":776},1778683562157.8774,"k17c72vtds1zvyhh0pa58kgfd186nws5",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"cdeust/Cortex","cortex-recall-global","https://github.com/cdeust/Cortex",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":225,"workflow":243},1778683808552.756,"kn727yca443wpsrjs8hawjm1nd86nhy0","en",{"checks":20,"evaluatedAt":195,"extensionSummary":196,"features":197,"nonGoals":202,"promptVersionExtension":206,"promptVersionScoring":207,"purpose":208,"rationale":209,"score":210,"summary":211,"tags":212,"targetMarket":218,"tier":219,"useCases":220},[21,26,29,32,36,39,43,47,50,53,57,61,64,68,71,74,77,80,83,86,90,94,98,102,106,109,113,116,120,123,126,129,132,135,138,142,146,149,152,156,159,162,165,168,172,176,179,182,185,188,192],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of retrieving global knowledge and provides specific examples of user queries and use cases, aligning with the extension's purpose.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","This skill offers a distinct value proposition by focusing on recalling global memories and providing specific tools for visualizing and navigating this cross-project knowledge, going beyond default LLM behavior.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The extension appears production-ready, with clear workflow steps, comprehensive documentation, and well-defined tools for retrieving and managing global knowledge.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses exclusively on retrieving and managing global memories, maintaining a clear and single area of responsibility without extending into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's functionality of searching and retrieving global memories, including relevant use cases and keywords.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The skill utilizes narrow, verb-noun specific tools like `cortex:recall`, `cortex:open_visualization`, `cortex:navigate_memory`, and `cortex:rate_memory`, which are well-scoped and less prone to injection.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","Parameters for tools like `cortex:recall` (e.g., `query`, `max_results`) are clearly documented within the workflow examples.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","Tool names such as `cortex:recall`, `cortex:open_visualization`, and `cortex:navigate_memory` are descriptive and clearly indicate their function within the declared domain.",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","The tool parameters are specific and well-defined (e.g., `query`, `memory_id`), and the expected outputs are implied by the workflow descriptions.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The extension is licensed under the MIT License, which is a permissive open-source license and is clearly stated in the LICENSE file and README.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The repository shows recent activity with commits in the last 12 months, indicating active maintenance.",{"category":58,"check":62,"severity":24,"summary":63},"Dependency Management","The project appears to manage its dependencies effectively, as indicated by the presence of a lockfile and recent activity, suggesting a process for updates.",{"category":65,"check":66,"severity":24,"summary":67},"Security","Secret Management","The extension runs locally and does not appear to handle or expose secrets, aligning with secure practices.",{"category":65,"check":69,"severity":24,"summary":70},"Injection","The skill operates on structured tool calls and documented memory retrieval, minimizing risks of instruction injection from external data.",{"category":65,"check":72,"severity":24,"summary":73},"Transitive Supply-Chain Grenades","The skill does not appear to fetch external content at runtime or use remote pipes to shell commands, keeping its supply chain contained within the bundle.",{"category":65,"check":75,"severity":24,"summary":76},"Sandbox Isolation","The skill operates locally and focuses on memory retrieval and visualization, with no indication of attempts to modify files outside its designated scope.",{"category":65,"check":78,"severity":24,"summary":79},"Sandbox escape primitives","No evidence of detached processes or retry loops around denied tool calls was found, indicating robust sandbox isolation.",{"category":65,"check":81,"severity":24,"summary":82},"Data Exfiltration","The skill's function is purely local memory retrieval and does not involve submitting confidential data to third parties.",{"category":65,"check":84,"severity":24,"summary":85},"Hidden Text Tricks","The bundled content and documentation appear free of hidden-steering tricks, utilizing clean, printable ASCII and standard Unicode.",{"category":87,"check":88,"severity":24,"summary":89},"Hooks","Opaque code execution","The skill does not employ obfuscated code, base64 payloads, or runtime script fetching, ensuring transparency.",{"category":91,"check":92,"severity":24,"summary":93},"Portability","Structural Assumption","The skill's operation is self-contained and does not make assumptions about user project file layouts, ensuring portability.",{"category":95,"check":96,"severity":24,"summary":97},"Trust","Issues Attention","With 0 issues opened and 16 closed in the last 90 days, the maintainers show excellent responsiveness and engagement.",{"category":99,"check":100,"severity":24,"summary":101},"Versioning","Release Management","The project clearly indicates its version as v3.15.0 in the README, and utilizes GitHub release tags and a CHANGELOG for versioning.",{"category":103,"check":104,"severity":24,"summary":105},"Execution","Validation","Tool inputs like `query` and `max_results` appear to be validated and constrained, as suggested by the context of structured tool calls.",{"category":65,"check":107,"severity":24,"summary":108},"Unguarded Destructive Operations","The skill is read-only and focuses on information retrieval, thus posing no risk of destructive operations.",{"category":110,"check":111,"severity":24,"summary":112},"Code Execution","Error Handling","The documented workflow and tool usage suggest that errors would be handled gracefully, providing meaningful feedback without crashing the agent.",{"category":110,"check":114,"severity":24,"summary":115},"Logging","The skill operates locally and focuses on memory retrieval, with no indication of requiring or performing extensive logging beyond standard tool output.",{"category":117,"check":118,"severity":24,"summary":119},"Compliance","GDPR","The skill retrieves stored memories and does not interact with personal data; no GDPR concerns are apparent.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The skill's functionality is general and not tied to any specific geography or legal jurisdiction, making it globally applicable.",{"category":91,"check":124,"severity":24,"summary":125},"Runtime stability","The skill is described as running locally with PostgreSQL and standard Python dependencies, indicating good cross-platform compatibility.",{"category":44,"check":127,"severity":24,"summary":128},"README","The README is extensive, well-organized, and clearly explains the project's purpose, features, and setup.",{"category":33,"check":130,"severity":24,"summary":131},"Tool surface size","The skill exposes a manageable number of tools (e.g., `cortex:recall`, `cortex:open_visualization`, `cortex:navigate_memory`), fitting within the recommended range.",{"category":40,"check":133,"severity":24,"summary":134},"Overlapping near-synonym tools","The exposed tools (`recall`, `open_visualization`, `navigate_memory`) have distinct functionalities and do not appear to overlap significantly.",{"category":44,"check":136,"severity":24,"summary":137},"Phantom features","All advertised features, such as retrieving global memories and visualization, are supported by the described tools and workflow.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","Installation instructions are clear, including command-line steps and setup verification, with options for different environments.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","While specific error messages are not detailed, the nature of the tools and the project's focus on robust development suggest actionable error reporting.",{"category":103,"check":147,"severity":24,"summary":148},"Pinned dependencies","The presence of a lockfile and references to specific Python versions suggest that dependencies are pinned and managed.",{"category":33,"check":150,"severity":24,"summary":151},"Dry-run preview","As a read-only skill focused on memory retrieval, there are no state-changing operations that would require a dry-run mode.",{"category":153,"check":154,"severity":24,"summary":155},"Protocol","Idempotent retry & timeouts","The skill's operations are primarily read-only and local, minimizing the need for complex retry logic or timeouts for external services.",{"category":117,"check":157,"severity":24,"summary":158},"Telemetry opt-in","The project emphasizes local execution and privacy, with no mention of telemetry collection, implying it's either absent or strictly opt-in.",{"category":40,"check":160,"severity":24,"summary":161},"Precise Purpose","The skill's purpose is precisely defined, explaining what it does (retrieve global memories) and when to use it, including specific trigger phrases and non-goals.",{"category":40,"check":163,"severity":24,"summary":164},"Concise Frontmatter","The frontmatter is concise, self-contained, and effectively summarizes the core capability and triggers within the recommended character limit.",{"category":44,"check":166,"severity":24,"summary":167},"Concise Body","The SKILL.md body is well-structured and avoids excessive length by deferring detailed information to external files or using progressive disclosure.",{"category":169,"check":170,"severity":24,"summary":171},"Context","Progressive Disclosure","Complex procedures and detailed information are appropriately deferred to separate files or sections, adhering to progressive disclosure principles.",{"category":169,"check":173,"severity":174,"summary":175},"Forked exploration","not_applicable","This skill is focused on direct knowledge retrieval and does not involve deep exploration or code review that would necessitate `context: fork`.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The documentation provides clear, end-to-end examples for various recall patterns, demonstrating input, invocation, and expected outcome.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The documentation implicitly handles edge cases by describing how global memories compete on merit and are not artificially boosted, and the visualization helps manage complexity.",{"category":110,"check":183,"severity":174,"summary":184},"Tool Fallback","This skill does not appear to rely on external MCP servers or custom toolchains, thus no fallback mechanism is required.",{"category":91,"check":186,"severity":24,"summary":187},"Stack assumptions","The documentation clearly states stack assumptions such as PostgreSQL, Python, and local execution, ensuring portability.",{"category":189,"check":190,"severity":24,"summary":191},"Safety","Halt on unexpected state","As a read-only skill, it does not perform destructive operations, and its focus on data retrieval implies graceful handling of unexpected states.",{"category":91,"check":193,"severity":24,"summary":194},"Cross-skill coupling","The skill is self-contained and focuses on global memory retrieval, without implicit reliance on other specific skills.",1778683808432,"This skill enables users to search and retrieve global memories, such as architecture rules, coding conventions, and team policies, that apply across all projects. It provides specific tools for visualizing this cross-project knowledge and navigating connections within a knowledge graph.",[198,199,200,201],"Search and retrieve global memories","Filter results to show only global knowledge","Visualize the knowledge graph with global memory emphasis","Navigate connections between global memories and projects",[203,204,205],"Replacing the general `cortex:recall` functionality","Retrieving project-specific memories","Performing actions or modifications on memories","3.0.0","4.4.0","To provide a dedicated mechanism for accessing and understanding knowledge that is universally applicable across all projects, ensuring consistency and shared understanding.","The skill demonstrates exceptional quality across all categories, with a clear purpose, robust documentation, secure implementation, and active maintenance. No significant issues were identified.",97,"A high-quality skill for retrieving and visualizing global, cross-project knowledge with excellent documentation and local execution.",[213,214,215,216,217],"memory","knowledge-retrieval","cross-project","documentation","local","global","verified",[221,222,223,224],"Use when asking about cross-project standards or policies","Use when needing context on architecture decisions applicable everywhere","Use to find shared team agreements or server configurations","Use when exploring the connections between different project domains",{"codeQuality":226,"collectedAt":228,"documentation":229,"maintenance":232,"popularity":237,"security":239,"testCoverage":242},{"hasLockfile":227},true,1778683785378,{"descriptionLength":230,"readmeSize":231},402,36381,{"closedIssues90d":233,"forks":234,"hasChangelog":227,"openIssues90d":8,"pushedAt":235,"stars":236},16,8,1778675198000,33,{"npmDownloads":238},14,{"hasNpmPackage":227,"license":240,"smitheryVerified":241},"NOASSERTION",false,{"hasCi":227,"hasTests":227},{"updatedAt":244},1778683808552,{"basePath":246,"githubOwner":247,"githubRepo":248,"locale":18,"slug":13,"type":249},"skills/cortex-recall-global","cdeust","Cortex","skill",{"_creationTime":251,"_id":252,"community":253,"display":254,"identity":257,"parentExtension":260,"providers":294,"relations":303,"tags":304,"workflow":305},1778683562157.8752,"k1739s9t9kj9bmjq1z4byk17g986mv7x",{"reviewCount":8},{"description":255,"installMethods":256,"name":248,"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":248},{"basePath":258,"githubOwner":247,"githubRepo":248,"locale":18,"slug":248,"type":259},"","plugin",{"_creationTime":261,"_id":262,"community":263,"display":264,"identity":268,"providers":270,"relations":288,"tags":290,"workflow":291},1778683562157.875,"k174pnm5ch9ab6fr1etef2f2b586m74b",{"reviewCount":8},{"description":265,"installMethods":266,"name":267,"sourceUrl":14},"Persistent memory and cognitive profiling plugins for Claude Code",{"claudeCode":12},"cortex-plugins",{"basePath":258,"githubOwner":247,"githubRepo":248,"locale":18,"slug":248,"type":269},"marketplace",{"evaluate":271,"extract":282},{"promptVersionExtension":272,"promptVersionScoring":207,"score":273,"tags":274,"targetMarket":218,"tier":219},"3.1.0",100,[213,275,276,277,278,279,280,281],"cognitive-profiling","mcp","claude-code","knowledge-graph","codebase-analysis","postgresql","pgvector",{"commitSha":283,"marketplace":284,"plugin":286},"HEAD",{"name":267,"pluginCount":285},1,{"mcpCount":8,"provider":287,"skillCount":8},"classify",{"repoId":289},"kd79gxpemvkr09a7zsb3h8kmah86nvgf",[277,279,275,278,276,213,281,280],{"evaluatedAt":292,"extractAt":293,"updatedAt":292},1778683583007,1778683562157,{"evaluate":295,"extract":300},{"promptVersionExtension":206,"promptVersionScoring":207,"score":296,"tags":297,"targetMarket":218,"tier":219},99,[213,298,278,275,280,281,299],"persistence","developer-tools",{"commitSha":283,"license":301,"plugin":302},"MIT",{"mcpCount":8,"provider":287,"skillCount":238},{"parentExtensionId":262,"repoId":289},[275,299,278,213,298,281,280],{"evaluatedAt":306,"extractAt":293,"updatedAt":306},1778683602463,{"evaluate":308,"extract":310},{"promptVersionExtension":206,"promptVersionScoring":207,"score":210,"tags":309,"targetMarket":218,"tier":219},[213,214,215,216,217],{"commitSha":283},{"parentExtensionId":252,"repoId":289},{"_creationTime":313,"_id":289,"identity":314,"providers":315,"workflow":770},1778683544930.988,{"githubOwner":247,"githubRepo":248,"sourceUrl":14},{"classify":316,"discover":742,"extract":745,"github":746,"npm":769},{"commitSha":283,"extensions":317},[318,331,344,353,361,369,377,385,393,401,409,414,422,430,438,446,454],{"basePath":258,"description":265,"displayName":267,"installMethods":319,"rationale":320,"selectedPaths":321,"source":330,"sourceLanguage":18,"type":269},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[322,325,327],{"path":323,"priority":324},".claude-plugin/marketplace.json","mandatory",{"path":326,"priority":324},"README.md",{"path":328,"priority":329},"LICENSE","high","rule",{"basePath":258,"description":255,"displayName":332,"installMethods":333,"rationale":334,"selectedPaths":335,"source":330,"sourceLanguage":18,"type":259},"cortex",{"claudeCode":248},"inline plugin source from marketplace.json at /",[336,337,338,340,342],{"path":326,"priority":324},{"path":328,"priority":329},{"path":339,"priority":324},".mcp.json",{"path":341,"priority":329},"agents/cortex-wiki-groomer.md",{"path":343,"priority":329},"commands/methodology.md",{"basePath":345,"description":346,"displayName":347,"installMethods":348,"rationale":349,"selectedPaths":350,"source":330,"sourceLanguage":18,"type":249},"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",[351],{"path":352,"priority":324},"SKILL.md",{"basePath":354,"description":355,"displayName":356,"installMethods":357,"rationale":358,"selectedPaths":359,"source":330,"sourceLanguage":18,"type":249},"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",[360],{"path":352,"priority":324},{"basePath":362,"description":363,"displayName":364,"installMethods":365,"rationale":366,"selectedPaths":367,"source":330,"sourceLanguage":18,"type":249},"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",[368],{"path":352,"priority":324},{"basePath":370,"description":371,"displayName":372,"installMethods":373,"rationale":374,"selectedPaths":375,"source":330,"sourceLanguage":18,"type":249},"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",[376],{"path":352,"priority":324},{"basePath":378,"description":379,"displayName":380,"installMethods":381,"rationale":382,"selectedPaths":383,"source":330,"sourceLanguage":18,"type":249},"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",[384],{"path":352,"priority":324},{"basePath":386,"description":387,"displayName":388,"installMethods":389,"rationale":390,"selectedPaths":391,"source":330,"sourceLanguage":18,"type":249},"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",[392],{"path":352,"priority":324},{"basePath":394,"description":395,"displayName":396,"installMethods":397,"rationale":398,"selectedPaths":399,"source":330,"sourceLanguage":18,"type":249},"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",[400],{"path":352,"priority":324},{"basePath":402,"description":403,"displayName":404,"installMethods":405,"rationale":406,"selectedPaths":407,"source":330,"sourceLanguage":18,"type":249},"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",[408],{"path":352,"priority":324},{"basePath":246,"description":10,"displayName":13,"installMethods":410,"rationale":411,"selectedPaths":412,"source":330,"sourceLanguage":18,"type":249},{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-recall-global/SKILL.md",[413],{"path":352,"priority":324},{"basePath":415,"description":416,"displayName":417,"installMethods":418,"rationale":419,"selectedPaths":420,"source":330,"sourceLanguage":18,"type":249},"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",[421],{"path":352,"priority":324},{"basePath":423,"description":424,"displayName":425,"installMethods":426,"rationale":427,"selectedPaths":428,"source":330,"sourceLanguage":18,"type":249},"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",[429],{"path":352,"priority":324},{"basePath":431,"description":432,"displayName":433,"installMethods":434,"rationale":435,"selectedPaths":436,"source":330,"sourceLanguage":18,"type":249},"skills/cortex-setup-project","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.","cortex-setup-project",{"claudeCode":12},"SKILL.md frontmatter at skills/cortex-setup-project/SKILL.md",[437],{"path":352,"priority":324},{"basePath":439,"description":440,"displayName":441,"installMethods":442,"rationale":443,"selectedPaths":444,"source":330,"sourceLanguage":18,"type":249},"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",[445],{"path":352,"priority":324},{"basePath":447,"description":448,"displayName":449,"installMethods":450,"rationale":451,"selectedPaths":452,"source":330,"sourceLanguage":18,"type":249},"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",[453],{"path":352,"priority":324},{"basePath":258,"description":455,"displayName":456,"installMethods":457,"license":301,"rationale":458,"selectedPaths":459,"source":330,"sourceLanguage":18,"type":276},"Persistent memory and cognitive profiling for Claude Code","neuro-cortex-memory",{"pypi":456},"pyproject.toml with mcp/fastmcp dependency + scripts at 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