[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-vectorize-io-hindsight-architect-en":3,"guides-for-vectorize-io-hindsight-architect":650,"similar-k17a6y6pwp56geav363mzm425186msdn-en":651},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":256,"isFallback":251,"parentExtension":262,"providers":263,"relations":268,"repo":270,"tags":647,"workflow":648},1778698371743.7036,"k17a6y6pwp56geav363mzm425186msdn",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Expert memory architect. 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Use to remember what works and recall context before new tasks. (user)",{"claudeCode":12},"SKILL.md frontmatter at skills/hindsight-local/SKILL.md",[490],{"path":328,"priority":284},{"basePath":492,"description":493,"displayName":494,"installMethods":495,"rationale":496,"selectedPaths":497,"source":290,"sourceLanguage":18,"type":261},"skills/hindsight-self-hosted","Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to a self-hosted Hindsight server. (user)","hindsight-self-hosted",{"claudeCode":12},"SKILL.md frontmatter at skills/hindsight-self-hosted/SKILL.md",[498],{"path":328,"priority":284},{"basePath":500,"description":501,"displayName":502,"installMethods":503,"license":504,"rationale":505,"selectedPaths":506,"source":290,"sourceLanguage":18,"type":511},"hindsight-control-plane","Control plane for Hindsight - Semantic memory system","@vectorize-io/hindsight-control-plane",{"npm":502},"ISC","cli ecosystem detected at hindsight-control-plane",[507,509],{"path":508,"priority":284},"package.json",{"path":510,"priority":305},"bin/cli.js","cli",{"basePath":513,"description":514,"displayName":515,"installMethods":516,"license":252,"rationale":517,"selectedPaths":518,"source":290,"sourceLanguage":18,"type":511},"hindsight-integrations/nemoclaw","Setup CLI for hindsight-openclaw on NemoClaw sandboxes — installs the plugin, configures external API mode, and applies the OpenShell network policy","@vectorize-io/hindsight-nemoclaw",{"npm":515},"cli ecosystem detected at hindsight-integrations/nemoclaw",[519,520,521],{"path":508,"priority":284},{"path":286,"priority":284},{"path":522,"priority":523},"src/cli.ts","low",{"basePath":525,"description":526,"displayName":527,"installMethods":528,"license":252,"rationale":529,"selectedPaths":530,"source":290,"sourceLanguage":18,"type":511},"hindsight-integrations/openclaw","Hindsight memory plugin for OpenClaw - biomimetic long-term memory with fact extraction","@vectorize-io/hindsight-openclaw",{"npm":527},"cli ecosystem detected at hindsight-integrations/openclaw",[531,532,533],{"path":508,"priority":284},{"path":286,"priority":284},{"path":534,"priority":523},"src/index.ts",{"basePath":536,"installMethods":537,"rationale":538,"selectedPaths":539,"source":290,"sourceLanguage":18,"type":511},"hindsight-api",{"pypi":536},"cli ecosystem detected at hindsight-api",[540,542],{"path":541,"priority":284},"pyproject.toml",{"path":286,"priority":284},{"basePath":544,"installMethods":545,"rationale":546,"selectedPaths":547,"source":290,"sourceLanguage":18,"type":511},"hindsight-cli",{"cargo":544},"cli ecosystem detected at hindsight-cli",[548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578],{"path":549,"priority":284},"Cargo.toml",{"path":551,"priority":305},"src/main.rs",{"path":553,"priority":523},"src/commands/audit.rs",{"path":555,"priority":523},"src/commands/bank.rs",{"path":557,"priority":523},"src/commands/chunk.rs",{"path":559,"priority":523},"src/commands/directive.rs",{"path":561,"priority":523},"src/commands/document.rs",{"path":563,"priority":523},"src/commands/entity.rs",{"path":565,"priority":523},"src/commands/explore.rs",{"path":567,"priority":523},"src/commands/health.rs",{"path":569,"priority":523},"src/commands/memory.rs",{"path":571,"priority":523},"src/commands/mental_model.rs",{"path":573,"priority":523},"src/commands/mod.rs",{"path":575,"priority":523},"src/commands/operation.rs",{"path":577,"priority":523},"src/commands/tag.rs",{"path":579,"priority":523},"src/commands/webhook.rs",{"basePath":581,"installMethods":582,"rationale":583,"selectedPaths":584,"source":290,"sourceLanguage":605,"type":511},"hindsight-dev",{"pypi":581},"cli ecosystem detected at hindsight-dev",[585,586,587,589,591,593,595,597,599,601,603],{"path":541,"priority":284},{"path":286,"priority":284},{"path":588,"priority":305},"hindsight_dev/generate_openapi.py",{"path":590,"priority":305},"hindsight_dev/generate_bank_template_schema.py",{"path":592,"priority":305},"hindsight_dev/generate_changelog.py",{"path":594,"priority":305},"hindsight_dev/sync_cookbook.py",{"path":596,"priority":305},"hindsight_dev/generate_llms_full.py",{"path":598,"priority":305},"hindsight_dev/check_openapi_compatibility.py",{"path":600,"priority":305},"hindsight_dev/cli_coverage_check.py",{"path":602,"priority":305},"hindsight_dev/client_coverage_check.py",{"path":604,"priority":305},"benchmarks/perf/system_perf.py","sv",{"basePath":607,"installMethods":608,"rationale":609,"selectedPaths":610,"source":290,"sourceLanguage":18,"type":511},"hindsight-embed",{"pypi":607},"cli ecosystem detected at hindsight-embed",[611,612,613],{"path":541,"priority":284},{"path":286,"priority":284},{"path":614,"priority":305},"hindsight_embed/cli.py",{"basePath":616,"displayName":616,"installMethods":617,"rationale":618,"selectedPaths":619,"source":290,"sourceLanguage":18,"type":632},"hindsight-api-slim",{"pypi":616},"pyproject.toml with mcp/fastmcp dependency + scripts at hindsight-api-slim/pyproject.toml",[620,621,622,624,626,628,630],{"path":541,"priority":284},{"path":286,"priority":284},{"path":623,"priority":305},"hindsight_api/main.py",{"path":625,"priority":305},"hindsight_api/worker/main.py",{"path":627,"priority":305},"hindsight_api/mcp_local.py",{"path":629,"priority":305},"hindsight_api/admin/cli.py",{"path":631,"priority":523},"hindsight_api/server.py","mcp",{"sources":634},[635],"manual",{"closedIssues90d":245,"description":637,"forks":246,"homepage":638,"license":252,"openIssues90d":247,"pushedAt":248,"readmeSize":243,"stars":249,"topics":639},"Hindsight: Agent Memory That  Learns","https://hindsight.vectorize.io/",[640,219,641,642],"agentic-ai","agents","ai-memory",{"classifiedAt":644,"discoverAt":645,"extractAt":646,"githubAt":646,"updatedAt":644},1778698371538,1778698349934,1778698367862,[220,223,222,221,219],{"evaluatedAt":255,"extractAt":649,"updatedAt":255},1778698371743,[],[652,681,711,742,771,793],{"_creationTime":653,"_id":654,"community":655,"display":656,"identity":662,"providers":665,"relations":674,"tags":676,"workflow":677},1778699438912.8826,"k170fxxh22hdspg4vr94whgj1986mpr9",{"reviewCount":8},{"description":657,"installMethods":658,"name":660,"sourceUrl":661},"Context Runtime for AI Agents — 59 MCP tools, 10 read modes, 95+ shell patterns, tree-sitter AST for 18 languages. Compresses LLM context by up to 99%. Use when reading files, running shell commands, searching code, or exploring directories. Auto-installs if not present.",{"claudeCode":659},"yvgude/lean-ctx","lean-ctx","https://github.com/yvgude/lean-ctx",{"basePath":663,"githubOwner":664,"githubRepo":660,"locale":18,"slug":660,"type":261},"skills/lean-ctx","yvgude",{"evaluate":666,"extract":673},{"promptVersionExtension":212,"promptVersionScoring":213,"score":667,"tags":668,"targetMarket":224,"tier":225},100,[669,220,670,222,671,672],"context-compression","cli-tools","rust","code-analysis",{"commitSha":267},{"repoId":675},"kd7dxtfr9j3z54hs3bz0218e1n86may0",[220,670,672,669,222,671],{"evaluatedAt":678,"extractAt":679,"updatedAt":680},1778699456179,1778699438912,1778699517795,{"_creationTime":682,"_id":683,"community":684,"display":685,"identity":691,"providers":696,"relations":704,"tags":707,"workflow":708},1778696595410.5698,"k171sdysmt658g1cdd7hgt8p8h86nms7",{"reviewCount":8},{"description":686,"installMethods":687,"name":689,"sourceUrl":690},"End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying \"wrap up\", \"done for the day\", \"finish coding\", or ending a coding session.",{"claudeCode":688},"rohitg00/pro-workflow","Wrap-Up Ritual","https://github.com/rohitg00/pro-workflow",{"basePath":692,"githubOwner":693,"githubRepo":694,"locale":18,"slug":695,"type":261},"skills/wrap-up","rohitg00","pro-workflow","wrap-up",{"evaluate":697,"extract":703},{"promptVersionExtension":212,"promptVersionScoring":213,"score":667,"tags":698,"targetMarket":224,"tier":225},[699,221,700,219,701,702],"workflow","productivity","knowledge-base","code-quality",{"commitSha":267,"license":252},{"parentExtensionId":705,"repoId":706},"k17fxtjcfh5gvxdrhv2dmgn1t986mdhv","kd7am4e918eq98hrd9s31jm4vs86nn0b",[702,701,221,219,700,699],{"evaluatedAt":709,"extractAt":710,"updatedAt":709},1778697164619,1778696595410,{"_creationTime":712,"_id":713,"community":714,"display":715,"identity":721,"providers":726,"relations":734,"tags":737,"workflow":738},1778693539593.1858,"k171p5pgbfbm5g4k5sa3y4cj9s86m6hk",{"reviewCount":8},{"description":716,"installMethods":717,"name":719,"sourceUrl":720},"Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on \"evolve\", \"discover patterns\", \"backtest\", \"evolution\", \"strategy generation\", \"candidate strategy\".",{"claudeCode":718},"mnemox-ai/tradememory-protocol","TradeMemory Protocol","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":722,"githubOwner":723,"githubRepo":724,"locale":18,"slug":725,"type":261},"tradememory-plugin/skills/evolution-engine","mnemox-ai","tradememory-protocol","evolution-engine",{"evaluate":727,"extract":733},{"promptVersionExtension":212,"promptVersionScoring":213,"score":667,"tags":728,"targetMarket":224,"tier":225},[729,730,219,731,732,221],"trading","ai","audit","compliance",{"commitSha":267,"license":252},{"parentExtensionId":735,"repoId":736},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy",[730,731,732,221,219,729],{"evaluatedAt":739,"extractAt":740,"updatedAt":741},1778693678813,1778693539593,1778693832942,{"_creationTime":743,"_id":744,"community":745,"display":746,"identity":752,"providers":756,"relations":764,"tags":767,"workflow":768},1778696833339.6243,"k174g80xa9zxhydbncvpf0xzy986nvx5",{"reviewCount":8},{"description":747,"installMethods":748,"name":750,"sourceUrl":751},"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":749},"sanjay3290/ai-skills","manus","https://github.com/sanjay3290/ai-skills",{"basePath":753,"githubOwner":754,"githubRepo":755,"locale":18,"slug":750,"type":261},"skills/manus","sanjay3290","ai-skills",{"evaluate":757,"extract":763},{"promptVersionExtension":212,"promptVersionScoring":213,"score":667,"tags":758,"targetMarket":224,"tier":225},[220,759,760,761,762],"autonomous-execution","research","automation","api-integration",{"commitSha":267},{"parentExtensionId":765,"repoId":766},"k17es37z10n1sw6t2m3f0vsydx86mnje","kd71np0fyqg23qg8w2hcfw0h0h86nkn0",[220,762,761,759,760],{"evaluatedAt":769,"extractAt":770,"updatedAt":769},1778697107270,1778696833339,{"_creationTime":772,"_id":773,"community":774,"display":775,"identity":779,"providers":782,"relations":788,"tags":789,"workflow":790},1778693539593.186,"k17bgwvhb6h29py715de1cm9xd86msq6",{"reviewCount":8},{"description":776,"installMethods":777,"name":778,"sourceUrl":720},"Risk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or enforcing discipline. Triggers on \"risk\", \"drawdown\", \"tilt\", \"position size\", \"lot size\", \"confidence\", \"revenge trading\", \"overtrading\", \"discipline\".",{"claudeCode":718},"Risk Management",{"basePath":780,"githubOwner":723,"githubRepo":724,"locale":18,"slug":781,"type":261},"tradememory-plugin/skills/risk-management","risk-management",{"evaluate":783,"extract":787},{"promptVersionExtension":212,"promptVersionScoring":213,"score":667,"tags":784,"targetMarket":224,"tier":225},[729,781,220,785,786],"behavioral-analysis","finance",{"commitSha":267,"license":252},{"parentExtensionId":735,"repoId":736},[220,785,786,781,729],{"evaluatedAt":791,"extractAt":740,"updatedAt":792},1778693700524,1778693833120,{"_creationTime":794,"_id":795,"community":796,"display":797,"identity":803,"providers":806,"relations":813,"tags":815,"workflow":816},1778687183932.1943,"k1728svzyq5wfc93gjyntemgnh86m6d9",{"reviewCount":8},{"description":798,"installMethods":799,"name":801,"sourceUrl":802},"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":800},"garrytan/gstack","setup-gbrain","https://github.com/garrytan/gstack",{"basePath":801,"githubOwner":804,"githubRepo":805,"locale":18,"slug":801,"type":261},"garrytan","gstack",{"evaluate":807,"extract":812},{"promptVersionExtension":212,"promptVersionScoring":213,"score":667,"tags":808,"targetMarket":224,"tier":225},[809,810,811,220,511,632],"gbrain","setup","configuration",{"commitSha":267},{"repoId":814},"kd73s35xh97m9mmc5nz3pb1f3n86m0an",[220,511,811,809,632,810],{"evaluatedAt":817,"extractAt":818,"updatedAt":817},1778688428238,1778687183932]