[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-supermemoryai-super-save-en":3,"guides-for-supermemoryai-super-save":369,"similar-k172m47x5hg2kpyn0bmnjv1nhh86nbfh-en":370},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":243,"isFallback":235,"parentExtension":248,"providers":301,"relations":305,"repo":306,"tags":366,"workflow":367},1778697873170.672,"k172m47x5hg2kpyn0bmnjv1nhh86nbfh",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Save important project knowledge to memory. Use when user wants to preserve architectural decisions, significant bug fixes, design patterns, or important implementation details for team reference.",{"claudeCode":12},"supermemoryai/claude-supermemory","super-save","https://github.com/supermemoryai/claude-supermemory",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":225,"workflow":241},1778697914987.8406,"kn7cfjhj8chnw68mac7xf7qdps86nmzy","en",{"checks":20,"evaluatedAt":196,"extensionSummary":197,"features":198,"nonGoals":203,"promptVersionExtension":207,"promptVersionScoring":208,"purpose":209,"rationale":210,"score":211,"summary":212,"tags":213,"targetMarket":219,"tier":220,"useCases":221},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,104,108,111,114,117,121,124,127,130,133,136,139,143,147,151,154,158,161,164,167,170,174,177,180,183,186,189,193],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of preserving project knowledge and provides specific use cases like architectural decisions and bug fixes.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers a unique value proposition by providing persistent memory across sessions and projects for AI agents, going beyond basic prompting.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill appears production-ready, with installation instructions, configuration options, and features that cover the lifecycle of saving and retrieving project knowledge.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The extension focuses on saving and managing project knowledge for AI agents, a single coherent domain.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The provided description accurately reflects the skill's purpose of saving project knowledge and its intended use cases.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill, not an MCP, and does not expose tools in the same manner. The evaluation of scoped tools is not applicable.",{"category":45,"check":46,"severity":24,"summary":47},"Documentation","Configuration & parameter reference","The README provides detailed documentation for environment variables, global settings, and project-specific configurations.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill, not an MCP, and does not expose tools with separate names. The check is not applicable.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This is a skill and does not expose explicit tools with parameter schemas or response shapes in the same way an MCP would.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The README explicitly states the license as MIT, and the repository appears to follow standard OSS practices.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on April 29, 2026, which is recent and indicates active maintenance.",{"category":59,"check":63,"severity":24,"summary":64},"Dependency Management","The skill uses Node.js and appears to manage dependencies appropriately, though explicit dependency pinning details are not visible in the provided files.",{"category":66,"check":67,"severity":24,"summary":68},"Security","Secret Management","The API key is handled via an environment variable (SUPERMEMORY_CC_API_KEY) and is not hardcoded in the provided scripts, adhering to good practices.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill's core logic appears to process user requests and format content without executing arbitrary external code or loading untrusted instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill does not appear to fetch external code or data at runtime for execution, keeping content within the bundle.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill uses a node script (`save-project-memory.cjs`) and specifies `CLAUDE_PLUGIN_ROOT`, suggesting operations are confined within the plugin's scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","There are no apparent detached process spawns or deny-retry loops in the provided script logic.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill saves project knowledge and does not appear to exfiltrate confidential data to unauthorized third parties.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled files and markdown are free of hidden-steering tricks, control characters, or invisible Unicode tags.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The provided JavaScript script (`save-project-memory.cjs`) is readable and not obfuscated.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill uses `${CLAUDE_PLUGIN_ROOT}` for its script path, indicating it does not make assumptions about the user's project structure outside the plugin.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","In the last 90 days, 3 issues were opened and 2 were closed, indicating a reasonable engagement level.",{"category":100,"check":101,"severity":102,"summary":103},"Versioning","Release Management","info","The repository does not explicitly declare a version in frontmatter or releases, and installation points to HEAD, but there is a recent commit.",{"category":105,"check":106,"severity":24,"summary":107},"Code Execution","Validation","The Node.js script likely handles input validation for the content to be saved, though explicit schema validation is not visible in the provided snippet.",{"category":66,"check":109,"severity":24,"summary":110},"Unguarded Destructive Operations","The 'save' operation primarily writes to memory and does not involve destructive file operations without confirmation.",{"category":105,"check":112,"severity":24,"summary":113},"Error Handling","The Node.js script is expected to have standard error handling for saving operations, though detailed error handling mechanisms are not explicitly shown.",{"category":105,"check":115,"severity":24,"summary":116},"Logging","The `SUPERMEMORY_DEBUG=true` environment variable suggests opt-in logging is available for debugging purposes.",{"category":118,"check":119,"severity":24,"summary":120},"Compliance","GDPR","The skill saves project knowledge and does not appear to operate on personal data without appropriate sanitization.",{"category":118,"check":122,"severity":24,"summary":123},"Target market","The extension is designed for general project knowledge preservation and has no apparent regional or jurisdictional limitations.",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","The skill relies on Node.js and standard environment variables, suggesting good cross-platform compatibility.",{"category":45,"check":128,"severity":24,"summary":129},"README","The README file exists and clearly explains the extension's purpose, features, and installation instructions.",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface size","This is a skill with a specific function, not an MCP with multiple tools. The check is not applicable.",{"category":40,"check":134,"severity":42,"summary":135},"Overlapping near-synonym tools","This is a skill and does not expose multiple tools with potentially overlapping names. The check is not applicable.",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","All advertised features like 'Team Memory' and 'Auto Capture' are supported by the provided description and installation/configuration details.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides clear installation instructions with copy-pasteable commands and details on API key setup.",{"category":144,"check":145,"severity":24,"summary":146},"Errors","Actionable error messages","While specific error messages are not visible, the presence of debug logging and standard Node.js practices suggest actionable error reporting.",{"category":148,"check":149,"severity":102,"summary":150},"Execution","Pinned dependencies","The presence of a lockfile suggests dependencies are managed, but specific pinning details are not visible in the provided files.",{"category":33,"check":152,"severity":42,"summary":153},"Dry-run preview","The 'save' operation is primarily for writing data to memory and does not involve state-changing commands that would typically require a dry-run preview.",{"category":155,"check":156,"severity":42,"summary":157},"Protocol","Idempotent retry & timeouts","The skill's core function is saving data and does not involve remote calls or state-changing operations that would necessitate complex retry logic or timeouts.",{"category":118,"check":159,"severity":24,"summary":160},"Telemetry opt-in","Telemetry is opt-in via an environment variable (`SUPERMEMORY_DEBUG`), and no telemetry is collected by default.",{"category":40,"check":162,"severity":24,"summary":163},"Precise Purpose","The description clearly states the purpose of saving project knowledge and when to use it (e.g., preserving architectural decisions), with specific triggers mentioned.",{"category":40,"check":165,"severity":24,"summary":166},"Concise Frontmatter","The frontmatter in SKILL.md is concise and effectively summarizes the skill's core capability and purpose.",{"category":45,"check":168,"severity":24,"summary":169},"Concise Body","The SKILL.md file is short and delegates detailed examples to code blocks, keeping the main instruction concise.",{"category":171,"check":172,"severity":24,"summary":173},"Context","Progressive Disclosure","The SKILL.md outlines the steps and provides an example directly, with no need for deeper material in separate files.",{"category":171,"check":175,"severity":42,"summary":176},"Forked exploration","This skill's purpose is to save information, not perform deep exploration, so `context: fork` is not applicable.",{"category":22,"check":178,"severity":24,"summary":179},"Usage examples","A clear, ready-to-use example is provided in the SKILL.md file demonstrating input and expected output format.",{"category":22,"check":181,"severity":24,"summary":182},"Edge cases","The skill's design implies handling of user requests for saving information, and the example suggests a structured approach to content capture.",{"category":105,"check":184,"severity":42,"summary":185},"Tool Fallback","The skill does not appear to rely on an external MCP server as a mandatory dependency, therefore this check is not applicable.",{"category":92,"check":187,"severity":24,"summary":188},"Stack assumptions","The skill clearly states its reliance on Node.js and Bash, and provides the necessary command for execution.",{"category":190,"check":191,"severity":24,"summary":192},"Safety","Halt on unexpected state","The skill focuses on saving information and does not perform destructive operations, thus unexpected states are unlikely to halt critical workflows.",{"category":92,"check":194,"severity":24,"summary":195},"Cross-skill coupling","The skill is self-contained and focuses on saving information, not implicitly relying on other skills.",1778697914879,"This skill allows users to save important project knowledge, such as architectural decisions, bug fixes, and design patterns, into a persistent memory accessible across sessions and projects. It uses a Node.js script to format and save the content using a specified container tag and API key.",[199,200,201,202],"Save important project knowledge","Preserve architectural decisions and bug fixes","Format content with clear tags and details","Utilize team memory across sessions",[204,205,206],"Does not fetch or analyze full conversation transcripts for saving.","Does not automatically save all conversations; requires explicit user request.","Does not manage external project configurations beyond API keys and container tags.","3.0.0","4.4.0","To provide AI agents with persistent memory across sessions and projects, enabling teams to recall and reference important project knowledge effectively.","The skill has high quality documentation, clear purpose, and strong security practices with recent commits. No critical or warning findings were identified.",98,"Excellent skill for persistently saving project knowledge with clear documentation and strong security.",[214,215,216,217,218],"memory","knowledge-management","project-documentation","ai-assistant","persistence","global","verified",[222,223,224],"Use when preserving architectural decisions for team reference.","Use when saving significant bug fixes or important implementation details.","Use when needing a persistent record of project knowledge across AI sessions.",{"codeQuality":226,"collectedAt":228,"documentation":229,"maintenance":232,"security":239,"testCoverage":240},{"hasLockfile":227},true,1778697901242,{"descriptionLength":230,"readmeSize":231},196,3129,{"closedIssues90d":233,"forks":234,"hasChangelog":235,"openIssues90d":236,"pushedAt":237,"stars":238},2,151,false,3,1777428027000,2576,{"hasNpmPackage":235,"smitheryVerified":235},{"hasCi":227,"hasTests":235},{"updatedAt":242},1778697914987,{"basePath":244,"githubOwner":245,"githubRepo":246,"locale":18,"slug":13,"type":247},"plugin/skills/super-save","supermemoryai","claude-supermemory","skill",{"_creationTime":249,"_id":250,"community":251,"display":252,"identity":255,"parentExtension":257,"providers":289,"relations":296,"tags":297,"workflow":298},1778697873170.6719,"k177gnvdhpev80y7wbcqhfv7e186mkab",{"reviewCount":8},{"description":253,"installMethods":254,"name":246,"sourceUrl":14},"Persistent memory across Claude Code sessions using Supermemory",{"claudeCode":246},{"basePath":256,"githubOwner":245,"githubRepo":246,"locale":18,"slug":256,"type":256},"plugin",{"_creationTime":258,"_id":259,"community":260,"display":261,"identity":265,"providers":268,"relations":282,"tags":284,"workflow":285},1778697873170.6716,"k17e4vy21znkyx4kyswt974nkh86nmtz",{"reviewCount":8},{"description":262,"installMethods":263,"name":264,"sourceUrl":14},"Enable Claude Code to learn in real-time, update it's knowledge, and grow with you, using supermemory.",{"claudeCode":12},"supermemory-plugins",{"basePath":266,"githubOwner":245,"githubRepo":246,"locale":18,"slug":246,"type":267},"","marketplace",{"evaluate":269,"extract":276},{"promptVersionExtension":270,"promptVersionScoring":208,"score":271,"tags":272,"targetMarket":219,"tier":220},"3.1.0",96,[214,218,273,274,275],"claude-code","supermemory","productivity",{"commitSha":277,"marketplace":278,"plugin":280},"HEAD",{"name":264,"pluginCount":279},1,{"mcpCount":8,"provider":281,"skillCount":8},"classify",{"repoId":283},"kd7d4aasa10djz2xs8fmv0w16186n8rx",[273,214,218,275,274],{"evaluatedAt":286,"extractAt":287,"updatedAt":288},1778697886992,1778697873170,1778697967065,{"evaluate":290,"extract":294},{"promptVersionExtension":207,"promptVersionScoring":208,"score":291,"tags":292,"targetMarket":219,"tier":220},95,[214,218,274,275,293],"developer-tools",{"commitSha":277,"plugin":295},{"mcpCount":8,"provider":281,"skillCount":233},{"parentExtensionId":259,"repoId":283},[293,214,218,275,274],{"evaluatedAt":299,"extractAt":287,"updatedAt":300},1778697900320,1778697967246,{"evaluate":302,"extract":304},{"promptVersionExtension":207,"promptVersionScoring":208,"score":211,"tags":303,"targetMarket":219,"tier":220},[214,215,216,217,218],{"commitSha":277},{"parentExtensionId":250,"repoId":283},{"_creationTime":307,"_id":283,"identity":308,"providers":309,"workflow":362},1778697868907.8264,{"githubOwner":245,"githubRepo":246,"sourceUrl":14},{"classify":310,"discover":356,"github":359},{"commitSha":277,"extensions":311},[312,322,342,348],{"basePath":266,"displayName":264,"installMethods":313,"rationale":314,"selectedPaths":315,"source":321,"sourceLanguage":18,"type":267},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[316,319],{"path":317,"priority":318},".claude-plugin/marketplace.json","mandatory",{"path":320,"priority":318},"README.md","rule",{"basePath":256,"description":253,"displayName":246,"installMethods":323,"rationale":324,"selectedPaths":325,"source":321,"sourceLanguage":18,"type":256},{"claudeCode":246},"plugin manifest at plugin/.claude-plugin/plugin.json",[326,328,331,333,336,338,340],{"path":327,"priority":318},".claude-plugin/plugin.json",{"path":329,"priority":330},"skills/super-save/SKILL.md","medium",{"path":332,"priority":330},"skills/super-search/SKILL.md",{"path":334,"priority":335},"commands/index.md","high",{"path":337,"priority":335},"commands/logout.md",{"path":339,"priority":335},"commands/project-config.md",{"path":341,"priority":335},"hooks/hooks.json",{"basePath":244,"description":10,"displayName":13,"installMethods":343,"rationale":344,"selectedPaths":345,"source":321,"sourceLanguage":18,"type":247},{"claudeCode":12},"SKILL.md frontmatter at plugin/skills/super-save/SKILL.md",[346],{"path":347,"priority":318},"SKILL.md",{"basePath":349,"description":350,"displayName":351,"installMethods":352,"rationale":353,"selectedPaths":354,"source":321,"sourceLanguage":18,"type":247},"plugin/skills/super-search","Search your coding memory. Use when user asks about past work, previous sessions, how something was implemented, what they worked on before, or wants to recall information from earlier sessions.","super-search",{"claudeCode":12},"SKILL.md frontmatter at plugin/skills/super-search/SKILL.md",[355],{"path":347,"priority":318},{"sources":357},[358],"manual",{"closedIssues90d":233,"description":262,"forks":234,"homepage":360,"openIssues90d":236,"pushedAt":237,"readmeSize":231,"stars":238,"topics":361},"https://supermemory.ai/docs/integrations/claude-code",[],{"classifiedAt":363,"discoverAt":364,"extractAt":365,"githubAt":365,"updatedAt":363},1778697872987,1778697868907,1778697871288,[217,215,214,218,216],{"evaluatedAt":242,"extractAt":287,"updatedAt":368},1778697967427,[],[371,400,432,459,487,516],{"_creationTime":372,"_id":373,"community":374,"display":375,"identity":381,"providers":385,"relations":393,"tags":396,"workflow":397},1778696595410.5657,"k17bk9m02r7jkbzzqapbzfvq8h86m6qn",{"reviewCount":8},{"description":376,"installMethods":377,"name":379,"sourceUrl":380},"Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.",{"claudeCode":378},"rohitg00/pro-workflow","orchestrate","https://github.com/rohitg00/pro-workflow",{"basePath":382,"githubOwner":383,"githubRepo":384,"locale":18,"slug":379,"type":247},"skills/orchestrate","rohitg00","pro-workflow",{"evaluate":386,"extract":392},{"promptVersionExtension":207,"promptVersionScoring":208,"score":387,"tags":388,"targetMarket":219,"tier":220},100,[389,390,391,214,215],"llm-ops","agent","workflow",{"commitSha":277},{"parentExtensionId":394,"repoId":395},"k17fxtjcfh5gvxdrhv2dmgn1t986mdhv","kd7am4e918eq98hrd9s31jm4vs86nn0b",[390,215,389,214,391],{"evaluatedAt":398,"extractAt":399,"updatedAt":398},1778696881233,1778696595410,{"_creationTime":401,"_id":402,"community":403,"display":404,"identity":410,"providers":413,"relations":424,"tags":427,"workflow":428},1778694389360.6567,"k1723rcremvxvx59dy10cjc0f186n67k",{"reviewCount":8},{"description":405,"installMethods":406,"name":408,"sourceUrl":409},"Token-efficient persistent memory system for Claude Code that saves ~67% tokens on session warm-up (verified with tiktoken). Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode. Activates at session start (if MEMORY.md exists), on \"remember this\", \"pick up where we left off\", \"what were we doing\", \"wrap up\", \"save progress\", \"don't forget\", \"switch context\", \"hand off\", \"memory health\", \"save state\", \"continue where I left off\", \"context budget\", \"how much context left\", or any session start on a project with existing memory files. This skill solves two problems at once: Claude forgetting everything between sessions, AND sessions hitting context limits too fast. It replaces thousands of wasted re-explanation tokens with a compact, structured memory load that gives Claude full project context in under 2,000 tokens.\n",{"claudeCode":407},"Nagendhra-web/memory-bank","memory-bank","https://github.com/Nagendhra-web/memory-bank",{"basePath":411,"githubOwner":412,"githubRepo":408,"locale":18,"slug":408,"type":247},"skills/memory-bank","Nagendhra-web",{"evaluate":414,"extract":422},{"promptVersionExtension":207,"promptVersionScoring":208,"score":415,"tags":416,"targetMarket":219,"tier":220},99,[214,417,218,418,419,420,421,217],"context","sessions","token-efficiency","branch-aware","compression",{"commitSha":277,"license":423},"Apache-2.0",{"parentExtensionId":425,"repoId":426},"k17dbjbnpmrxhbszzw5sx6tsgs86n09d","kd740s537z66ds6qge39y9dk3186nbp9",[217,420,421,417,214,218,418,419],{"evaluatedAt":429,"extractAt":430,"updatedAt":431},1778694438899,1778694389360,1778694474039,{"_creationTime":433,"_id":434,"community":435,"display":436,"identity":442,"providers":446,"relations":453,"tags":455,"workflow":456},1778696691708.3027,"k174mp6hf33cptbna2p91t2ts586n4ad",{"reviewCount":8},{"description":437,"installMethods":438,"name":440,"sourceUrl":441},"AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.\n",{"claudeCode":439},"ruvnet/ruflo","memory-management","https://github.com/ruvnet/ruflo",{"basePath":443,"githubOwner":444,"githubRepo":445,"locale":18,"slug":440,"type":247},".agents/skills/memory-management","ruvnet","ruflo",{"evaluate":447,"extract":452},{"promptVersionExtension":207,"promptVersionScoring":208,"score":415,"tags":448,"targetMarket":219,"tier":220},[214,449,215,450,451],"vector-search","agentdb","hnsw",{"commitSha":277},{"repoId":454},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[450,451,215,214,449],{"evaluatedAt":457,"extractAt":458,"updatedAt":457},1778699160670,1778696691708,{"_creationTime":460,"_id":461,"community":462,"display":463,"identity":469,"providers":473,"relations":480,"tags":483,"workflow":484},1778683562157.878,"k174wwq1x9t40ph56hj32705bh86n96x",{"reviewCount":8},{"description":464,"installMethods":465,"name":467,"sourceUrl":468},"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).",{"claudeCode":466},"cdeust/Cortex","cortex-remember-global","https://github.com/cdeust/Cortex",{"basePath":470,"githubOwner":471,"githubRepo":472,"locale":18,"slug":467,"type":247},"skills/cortex-remember-global","cdeust","Cortex",{"evaluate":474,"extract":479},{"promptVersionExtension":207,"promptVersionScoring":208,"score":415,"tags":475,"targetMarket":219,"tier":220},[214,215,218,476,477,478],"llm-context","local","cli",{"commitSha":277},{"parentExtensionId":481,"repoId":482},"k1739s9t9kj9bmjq1z4byk17g986mv7x","kd79gxpemvkr09a7zsb3h8kmah86nvgf",[478,215,476,477,214,218],{"evaluatedAt":485,"extractAt":486,"updatedAt":485},1778683871550,1778683562157,{"_creationTime":488,"_id":489,"community":490,"display":491,"identity":497,"providers":501,"relations":509,"tags":512,"workflow":513},1778686640222.7917,"k17549bwd8rq0h0wq4cvav0fpn86nda9",{"reviewCount":8},{"description":492,"installMethods":493,"name":495,"sourceUrl":496},"Explore requirements and approaches through collaborative dialogue, then write a right-sized requirements document. Use when the user says \"let's brainstorm\", \"what should we build\", or \"help me think through X\", presents a vague or ambitious feature request, or seems unsure about scope or direction -- even without explicitly asking to brainstorm.",{"claudeCode":494},"EveryInc/compound-engineering-plugin","ce-brainstorm","https://github.com/EveryInc/compound-engineering-plugin",{"basePath":498,"githubOwner":499,"githubRepo":500,"locale":18,"slug":495,"type":247},"plugins/compound-engineering/skills/ce-brainstorm","EveryInc","compound-engineering-plugin",{"evaluate":502,"extract":508},{"promptVersionExtension":207,"promptVersionScoring":208,"score":387,"tags":503,"targetMarket":219,"tier":220},[504,505,506,507,217],"documentation","requirements","collaboration","planning",{"commitSha":277},{"parentExtensionId":510,"repoId":511},"k17d893df4em0e3pn8f55h1dxn86n09e","kd7e40my1b5g70tg0f60qg85ch86nn08",[217,506,504,507,505],{"evaluatedAt":514,"extractAt":515,"updatedAt":514},1778686797367,1778686640222,{"_creationTime":517,"_id":518,"community":519,"display":520,"identity":526,"providers":531,"relations":540,"tags":543,"workflow":544},1778695116697.199,"k17cex5hqwje7qgvts5evct1d186nd4m",{"reviewCount":8},{"description":521,"installMethods":522,"name":524,"sourceUrl":525},"Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.",{"claudeCode":523},"Orchestra-Research/AI-Research-SKILLs","ARA Research Manager","https://github.com/Orchestra-Research/AI-Research-SKILLs",{"basePath":527,"githubOwner":528,"githubRepo":529,"locale":18,"slug":530,"type":247},"22-agent-native-research-artifact/research-manager","Orchestra-Research","AI-Research-SKILLs","research-manager",{"evaluate":532,"extract":538},{"promptVersionExtension":207,"promptVersionScoring":208,"score":387,"tags":533,"targetMarket":219,"tier":220},[534,535,215,536,537],"research","provenance","session-logging","ara",{"commitSha":277,"license":539},"MIT",{"parentExtensionId":541,"repoId":542},"k17155ws9qc0hw7a568bg79sfd86max8","kd70hj1y80mhra5xm5g188j5n586mg18",[537,215,535,534,536],{"evaluatedAt":545,"extractAt":546,"updatedAt":545},1778697541177,1778695116697]