[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-muratcankoylan-memory-systems-en":3,"guides-for-muratcankoylan-memory-systems":632,"similar-k172vr8setbd0ggyvdhy6ssaah86m2b3-en":633},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":242,"isFallback":225,"parentExtension":247,"providers":309,"relations":313,"repo":314,"tags":630,"workflow":631},1778694269038.6702,"k172vr8setbd0ggyvdhy6ssaah86m2b3",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to \"implement agent memory\", \"persist state across sessions\", \"build knowledge graph for agents\", \"track entities over time\", \"add long-term memory\", \"choose a memory framework\", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).\n",{"claudeCode":12},"muratcankoylan/Agent-Skills-for-Context-Engineering","memory-systems","https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":223,"workflow":240},1778694545815.5237,"kn7b03tfnrn6sabcw1dz5zpr4d86mchn","en",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"promptVersionExtension":204,"promptVersionScoring":205,"purpose":206,"rationale":207,"score":208,"summary":209,"tags":210,"targetMarket":216,"tier":217,"useCases":218},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,90,94,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the user problem of implementing agent memory systems and designing persistence architectures, naming specific frameworks and use cases.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers value beyond basic prompting by comparing specific production frameworks and guiding architectural decisions, rather than just being a thin wrapper.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides comprehensive guidance on memory system design, including framework comparisons, benchmark data, and practical integration examples, covering the full lifecycle of memory implementation.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses solely on agent memory systems, covering their implementation, comparison, and architectural design, without extending into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The description is concise, readable, accurately reflects the skill's capabilities, and includes specific triggers and boundaries.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill-based extension, not a tool-based one, so the concept of scoped tools does not apply.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","The skill does not expose configurable parameters or options that require explicit documentation beyond the instructional content.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill-based extension and does not expose user-facing tools with names.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","As a skill, it does not expose a tool schema or defined I/O surfaces in the same way as a tool-based extension.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The project includes a standard MIT license file, which is permissive and readily usable.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on April 14, 2026, which is well within the last 3 months.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","The provided source code snippets for the skill do not appear to introduce external dependencies that would require explicit dependency management.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill's logic does not involve handling or exposing secrets.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill's content focuses on instructional guidance and conceptual explanations, with no apparent mechanism for loading untrusted external data as executable instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external code at runtime; all logic and examples are contained within the repository.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","As an instructional skill, it does not perform file system operations or interact with the sandbox environment in a way that could lead to escape.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","There are no observed patterns of detached processes, retry loops around denied calls, or other sandbox escape primitives in the skill's instructions or provided code snippets.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill's content and code snippets do not contain instructions for reading or submitting confidential data to third parties.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content and descriptions are free of hidden steering tricks, control characters, or invisible Unicode tag sequences.",{"category":66,"check":88,"severity":24,"summary":89},"Opaque code execution","The provided code snippets are plain Python and do not contain obfuscated logic, base64 payloads, or runtime fetched scripts.",{"category":91,"check":92,"severity":24,"summary":93},"Portability","Structural Assumption","The skill's instructions and code examples are general and do not make assumptions about specific user project file layouts.",{"category":95,"check":96,"severity":97,"summary":98},"Trust","Issues Attention","info","In the last 90 days, 6 issues were opened and 2 were closed, indicating a slow response rate to new issues.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The skill metadata declares a version (4.0.0), and the installation instructions do not reference 'main', allowing for version pinning.",{"category":104,"check":105,"severity":42,"summary":106},"Execution","Validation","The skill is instructional and does not directly process user inputs through a schema validation library.",{"category":66,"check":108,"severity":42,"summary":109},"Unguarded Destructive Operations","The skill provides instructional content and code examples, but does not contain destructive operations that would require guarding.",{"category":111,"check":112,"severity":42,"summary":113},"Code Execution","Error Handling","The skill itself does not execute code that would require explicit error handling within its instructional scope.",{"category":111,"check":115,"severity":42,"summary":116},"Logging","This skill is instructional and does not perform actions that would necessitate a local audit log.",{"category":118,"check":119,"severity":42,"summary":120},"Compliance","GDPR","The skill's content does not operate on personal data; it provides guidance on memory systems.",{"category":118,"check":122,"severity":24,"summary":123},"Target market","The skill's content is general and applicable globally, with no regional or jurisdictional restrictions detected.",{"category":91,"check":125,"severity":24,"summary":126},"Runtime stability","The skill's instructions and pseudocode are platform-agnostic and do not assume specific runtimes or OS.",{"category":45,"check":128,"severity":24,"summary":129},"README","The README file exists and provides a comprehensive overview of the repository's purpose, skills, and usage.",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface size","This is a skill-based extension and does not expose a surface of tools.",{"category":40,"check":134,"severity":42,"summary":135},"Overlapping near-synonym tools","This is a skill-based extension and does not expose tools with overlapping functionality.",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","All advertised features and capabilities in the README and SKILL.md are substantiated by the provided documentation and code examples.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides clear, copy-pasteable installation instructions for Claude Code, Cursor, and custom implementations, along with usage examples.",{"category":144,"check":145,"severity":42,"summary":146},"Errors","Actionable error messages","The skill itself is instructional and does not define user-facing error paths.",{"category":104,"check":148,"severity":42,"summary":149},"Pinned dependencies","The provided code examples are pseudocode or use standard libraries, and no external dependencies requiring pinning were detected.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","The skill is instructional and does not involve state-changing commands or outbound data transmission requiring a dry-run mode.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","This skill is instructional and does not involve remote calls or state-changing operations that would require idempotency or timeouts.",{"category":118,"check":158,"severity":42,"summary":159},"Telemetry opt-in","The skill is instructional and does not emit telemetry.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The description clearly states the purpose (guiding memory system implementation, comparing frameworks) and provides specific triggers and explicit boundaries.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The frontmatter is concise, self-contained, and effectively summarizes the core capability and trigger phrases.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md is well-structured, avoids excessive verbosity, and delegates detailed material to references.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The SKILL.md outlines concepts and links to external resources for deeper dives, adhering to progressive disclosure principles.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","The skill is instructional and does not involve deep exploration or code review that would benefit from 'context: fork'.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The skill includes multiple end-to-end examples for different memory frameworks (Mem0, Graphiti, Cognee) with clear inputs and plausible outcomes.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill documents several limitations and failure modes (e.g., stuffing everything into context, ignoring temporal validity) with recovery steps and observable symptoms.",{"category":111,"check":183,"severity":42,"summary":184},"Tool Fallback","This skill does not rely on external tools or MCP servers that would require a fallback path.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill's instructional content advises against unexpected states and emphasizes starting with simpler layers, indirectly promoting a safe approach.",{"category":91,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill is self-contained and clearly references related skills via links in the SKILL.md, avoiding implicit dependencies.",1778694545712,"This skill guides the implementation of agent memory systems, compares production frameworks like Mem0 and Zep/Graphiti, and details persistence architectures for long-term knowledge retention. It includes detailed explanations of core concepts, benchmark comparisons, memory layers, and retrieval strategies, along with practical guidance and Python pseudocode examples for integration.",[195,196,197,198,199],"Guides agent memory system implementation","Compares production memory frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee)","Designs persistence architectures for cross-session knowledge retention","Details memory layers and retrieval strategies","Provides practical integration examples and benchmarks",[201,202,203],"Implementing specific LLM models for embedding","Providing a runtime for memory systems","General prompt engineering beyond memory context","3.0.0","4.4.0","Guides the design and implementation of agent memory systems, helping users choose appropriate frameworks and architectures for persisting knowledge across sessions.","The skill is exceptionally well-documented, practical, and adheres to best practices for agent development. Minor info finding on issue response rate is offset by numerous passes.",97,"Excellent skill guiding agent memory system design and framework selection.",[211,212,213,214,215],"agent-memory","knowledge-graph","persistence","vector-stores","llm-architecture","global","verified",[219,220,221,222],"Building agents that must persist knowledge across sessions","Choosing between memory frameworks","Maintaining entity consistency across conversations","Designing memory architectures that scale in production",{"codeQuality":224,"collectedAt":226,"documentation":227,"maintenance":230,"security":236,"testCoverage":238},{"hasLockfile":225},false,1778694530949,{"descriptionLength":228,"readmeSize":229},548,13763,{"closedIssues90d":231,"forks":232,"hasChangelog":225,"openIssues90d":233,"pushedAt":234,"stars":235},2,1237,6,1776141908000,15630,{"hasNpmPackage":225,"license":237,"smitheryVerified":225},"MIT",{"hasCi":225,"hasTests":239},true,{"updatedAt":241},1778694545815,{"basePath":243,"githubOwner":244,"githubRepo":245,"locale":18,"slug":13,"type":246},"skills/memory-systems","muratcankoylan","Agent-Skills-for-Context-Engineering","skill",{"_creationTime":248,"_id":249,"community":250,"display":251,"identity":255,"parentExtension":258,"providers":292,"relations":305,"tags":306,"workflow":307},1778694269038.6665,"k1754dy3wbsv2a5gr1a983zzs586njca",{"reviewCount":8},{"description":252,"installMethods":253,"name":254,"sourceUrl":14},"Comprehensive context engineering skills for building production-grade AI agent systems — covering fundamentals, degradation patterns, compression, optimization, latent briefing (KV sharing between agents), multi-agent coordination, memory systems, tool design, filesystem context, hosted agents, evaluation, advanced evaluation, project development, and cognitive architecture",{"claudeCode":245},"Agent Skills for Context Engineering",{"basePath":256,"githubOwner":244,"githubRepo":245,"locale":18,"slug":245,"type":257},"","plugin",{"_creationTime":259,"_id":260,"community":261,"display":262,"identity":265,"providers":267,"relations":286,"tags":288,"workflow":289},1778694269038.6663,"k1796gc85sm2bx753svn59gp5186mpz4",{"reviewCount":8},{"description":263,"installMethods":264,"name":254,"sourceUrl":14},"Context Engineering skills for building production-grade AI agent systems",{"claudeCode":12},{"basePath":256,"githubOwner":244,"githubRepo":245,"locale":18,"slug":245,"type":266},"marketplace",{"evaluate":268,"extract":279},{"promptVersionExtension":269,"promptVersionScoring":205,"score":270,"tags":271,"targetMarket":216,"tier":278},"3.1.0",75,[272,273,274,275,276,277],"ai","agent-skills","context-engineering","llm","development","architecture","community",{"commitSha":280,"license":237,"marketplace":281,"plugin":284},"HEAD",{"name":282,"pluginCount":283},"context-engineering-marketplace",1,{"mcpCount":8,"provider":285,"skillCount":8},"classify",{"repoId":287},"kd7f12maf5nxmx5xttjx7scfnx86m1tv",[273,272,277,274,276,275],{"evaluatedAt":290,"extractAt":291,"updatedAt":290},1778694283498,1778694269038,{"evaluate":293,"extract":302},{"promptVersionExtension":204,"promptVersionScoring":205,"score":294,"tags":295,"targetMarket":216,"tier":217},95,[274,296,297,298,299,300,301],"ai-agents","prompt-engineering","multi-agent-systems","llm-operations","agent-architecture","cognitive-architecture",{"commitSha":280,"license":237,"plugin":303},{"mcpCount":8,"provider":285,"skillCount":304},14,{"parentExtensionId":260,"repoId":287},[300,296,301,274,299,298,297],{"evaluatedAt":308,"extractAt":291,"updatedAt":308},1778694291902,{"evaluate":310,"extract":312},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":311,"targetMarket":216,"tier":217},[211,212,213,214,215],{"commitSha":280},{"parentExtensionId":249,"repoId":287},{"_creationTime":315,"_id":287,"identity":316,"providers":317,"workflow":626},1778694264629.3296,{"githubOwner":244,"githubRepo":245,"sourceUrl":14},{"classify":318,"discover":620,"github":623},{"commitSha":280,"extensions":319},[320,333,341,368,391,412,426,444,460,472,484,496,508,520,531,543,553,562,574,588,602,610],{"basePath":256,"description":263,"displayName":282,"installMethods":321,"rationale":322,"selectedPaths":323,"source":332,"sourceLanguage":18,"type":266},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[324,327,329],{"path":325,"priority":326},".claude-plugin/marketplace.json","mandatory",{"path":328,"priority":326},"README.md",{"path":330,"priority":331},"LICENSE","high","rule",{"basePath":256,"description":252,"displayName":274,"installMethods":334,"rationale":335,"selectedPaths":336,"source":332,"sourceLanguage":18,"type":257},{"claudeCode":245},"inline plugin source from marketplace.json at / (coalesced with duplicate plugin at .plugin)",[337,338,339],{"path":328,"priority":326},{"path":330,"priority":331},{"path":340,"priority":331},"SKILL.md",{"basePath":342,"description":343,"displayName":344,"installMethods":345,"rationale":346,"selectedPaths":347,"source":332,"sourceLanguage":18,"type":246},"examples/book-sft-pipeline","This skill should be used when the user asks to \"fine-tune on books\", \"create SFT dataset\", \"train style model\", \"extract ePub text\", or mentions style transfer, LoRA training, book segmentation, or author voice replication.","book-sft-pipeline",{"claudeCode":12},"SKILL.md frontmatter at examples/book-sft-pipeline/SKILL.md",[348,349,350,353,355,357,359,362,364,366],{"path":340,"priority":326},{"path":328,"priority":331},{"path":351,"priority":352},"examples/gertrude-stein/README.md","low",{"path":354,"priority":352},"examples/gertrude-stein/dataset_sample.jsonl",{"path":356,"priority":352},"examples/gertrude-stein/sample_outputs.md",{"path":358,"priority":352},"examples/gertrude-stein/training_config.json",{"path":360,"priority":361},"references/segmentation-strategies.md","medium",{"path":363,"priority":361},"references/tinker-format.md",{"path":365,"priority":361},"references/tinker.txt",{"path":367,"priority":352},"scripts/pipeline_example.py",{"basePath":369,"description":370,"displayName":371,"installMethods":372,"rationale":373,"selectedPaths":374,"source":332,"sourceLanguage":18,"type":246},"examples/digital-brain-skill","This skill should be used when the user asks to \"write a post\", \"check my voice\", \"look up contact\", \"prepare for meeting\", \"weekly review\", \"track goals\", or mentions personal brand, content creation, network management, or voice consistency.","digital-brain",{"claudeCode":12},"SKILL.md frontmatter at examples/digital-brain-skill/SKILL.md",[375,376,377,379,381,383,385,387,389],{"path":340,"priority":326},{"path":328,"priority":331},{"path":378,"priority":361},"AGENT.md",{"path":380,"priority":361},"HOW-SKILLS-BUILT-THIS.md",{"path":382,"priority":361},"SKILLS-MAPPING.md",{"path":384,"priority":352},"examples/content-workflow.md",{"path":386,"priority":352},"examples/meeting-prep.md",{"path":388,"priority":361},"references/file-formats.md",{"path":390,"priority":352},"scripts/install.sh",{"basePath":392,"description":393,"displayName":394,"installMethods":395,"rationale":396,"selectedPaths":397,"source":332,"sourceLanguage":18,"type":246},"examples/interleaved-thinking","Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.","reasoning-trace-optimizer",{"claudeCode":12},"SKILL.md frontmatter at examples/interleaved-thinking/SKILL.md",[398,399,400,402,404,406,408,410],{"path":340,"priority":326},{"path":328,"priority":331},{"path":401,"priority":352},"docs/agentthinking.md",{"path":403,"priority":352},"docs/interleavedthinking.md",{"path":405,"priority":352},"docs/m2-1.md",{"path":407,"priority":352},"examples/01_basic_capture.py",{"path":409,"priority":352},"examples/02_tool_usage.py",{"path":411,"priority":352},"examples/03_full_optimization.py",{"basePath":413,"description":414,"displayName":415,"installMethods":416,"rationale":417,"selectedPaths":418,"source":332,"sourceLanguage":18,"type":246},"examples/interleaved-thinking/generated_skills/comprehensive-research-agent","Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls","comprehensive-research-agent",{"claudeCode":12},"SKILL.md frontmatter at examples/interleaved-thinking/generated_skills/comprehensive-research-agent/SKILL.md",[419,420,422,424],{"path":340,"priority":326},{"path":421,"priority":361},"references/optimization_summary.json",{"path":423,"priority":361},"references/optimized_prompt.txt",{"path":425,"priority":361},"references/patterns_found.json",{"basePath":427,"description":428,"displayName":429,"installMethods":430,"rationale":431,"selectedPaths":432,"source":332,"sourceLanguage":18,"type":246},"skills/advanced-evaluation","This skill should be used when the user asks to \"implement LLM-as-judge\", \"compare model outputs\", \"create evaluation rubrics\", \"mitigate evaluation bias\", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.","advanced-evaluation",{"claudeCode":12},"SKILL.md frontmatter at skills/advanced-evaluation/SKILL.md",[433,434,436,438,440,442],{"path":340,"priority":326},{"path":435,"priority":361},"references/bias-mitigation.md",{"path":437,"priority":361},"references/evaluation-pipeline.md",{"path":439,"priority":361},"references/implementation-patterns.md",{"path":441,"priority":361},"references/metrics-guide.md",{"path":443,"priority":352},"scripts/evaluation_example.py",{"basePath":445,"description":446,"displayName":447,"installMethods":448,"rationale":449,"selectedPaths":450,"source":332,"sourceLanguage":18,"type":246},"skills/bdi-mental-states","This skill should be used when the user asks to \"model agent mental states\", \"implement BDI architecture\", \"create belief-desire-intention models\", \"transform RDF to beliefs\", \"build cognitive agent\", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.","bdi-mental-states",{"claudeCode":12},"SKILL.md frontmatter at skills/bdi-mental-states/SKILL.md",[451,452,454,456,458],{"path":340,"priority":326},{"path":453,"priority":361},"references/bdi-ontology-core.md",{"path":455,"priority":361},"references/framework-integration.md",{"path":457,"priority":361},"references/rdf-examples.md",{"path":459,"priority":361},"references/sparql-competency.md",{"basePath":461,"description":462,"displayName":463,"installMethods":464,"rationale":465,"selectedPaths":466,"source":332,"sourceLanguage":18,"type":246},"skills/context-compression","This skill should be used when the user asks to \"compress context\", \"summarize conversation history\", \"implement compaction\", \"reduce token usage\", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.","context-compression",{"claudeCode":12},"SKILL.md frontmatter at skills/context-compression/SKILL.md",[467,468,470],{"path":340,"priority":326},{"path":469,"priority":361},"references/evaluation-framework.md",{"path":471,"priority":352},"scripts/compression_evaluator.py",{"basePath":473,"description":474,"displayName":475,"installMethods":476,"rationale":477,"selectedPaths":478,"source":332,"sourceLanguage":18,"type":246},"skills/context-degradation","This skill should be used when the user asks to \"diagnose context problems\", \"fix lost-in-middle issues\", \"debug agent failures\", \"understand context poisoning\", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.","context-degradation",{"claudeCode":12},"SKILL.md frontmatter at skills/context-degradation/SKILL.md",[479,480,482],{"path":340,"priority":326},{"path":481,"priority":361},"references/patterns.md",{"path":483,"priority":352},"scripts/degradation_detector.py",{"basePath":485,"description":486,"displayName":487,"installMethods":488,"rationale":489,"selectedPaths":490,"source":332,"sourceLanguage":18,"type":246},"skills/context-fundamentals","This skill should be used when the user asks to \"understand context\", \"explain context windows\", \"design agent architecture\", \"debug context issues\", \"optimize context usage\", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.","context-fundamentals",{"claudeCode":12},"SKILL.md frontmatter at skills/context-fundamentals/SKILL.md",[491,492,494],{"path":340,"priority":326},{"path":493,"priority":361},"references/context-components.md",{"path":495,"priority":352},"scripts/context_manager.py",{"basePath":497,"description":498,"displayName":499,"installMethods":500,"rationale":501,"selectedPaths":502,"source":332,"sourceLanguage":18,"type":246},"skills/context-optimization","This skill should be used when the user asks to \"optimize context\", \"reduce token costs\", \"improve context efficiency\", \"implement KV-cache optimization\", \"partition context\", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.","context-optimization",{"claudeCode":12},"SKILL.md frontmatter at skills/context-optimization/SKILL.md",[503,504,506],{"path":340,"priority":326},{"path":505,"priority":361},"references/optimization_techniques.md",{"path":507,"priority":352},"scripts/compaction.py",{"basePath":509,"description":510,"displayName":511,"installMethods":512,"rationale":513,"selectedPaths":514,"source":332,"sourceLanguage":18,"type":246},"skills/evaluation","This skill should be used when the user asks to \"evaluate agent performance\", \"build test framework\", \"measure agent quality\", \"create evaluation rubrics\", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.","evaluation",{"claudeCode":12},"SKILL.md frontmatter at skills/evaluation/SKILL.md",[515,516,518],{"path":340,"priority":326},{"path":517,"priority":361},"references/metrics.md",{"path":519,"priority":352},"scripts/evaluator.py",{"basePath":521,"description":522,"displayName":523,"installMethods":524,"rationale":525,"selectedPaths":526,"source":332,"sourceLanguage":18,"type":246},"skills/filesystem-context","This skill should be used when the user asks to \"offload context to files\", \"implement dynamic context discovery\", \"use filesystem for agent memory\", \"reduce context window bloat\", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.","filesystem-context",{"claudeCode":12},"SKILL.md frontmatter at skills/filesystem-context/SKILL.md",[527,528,529],{"path":340,"priority":326},{"path":439,"priority":361},{"path":530,"priority":352},"scripts/filesystem_context.py",{"basePath":532,"description":533,"displayName":534,"installMethods":535,"rationale":536,"selectedPaths":537,"source":332,"sourceLanguage":18,"type":246},"skills/hosted-agents","This skill should be used when the user asks to \"build background agent\", \"create hosted coding agent\", \"set up sandboxed execution\", \"implement multiplayer agent\", or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes, self-spawning agents, or remote coding environments.","hosted-agents",{"claudeCode":12},"SKILL.md frontmatter at skills/hosted-agents/SKILL.md",[538,539,541],{"path":340,"priority":326},{"path":540,"priority":361},"references/infrastructure-patterns.md",{"path":542,"priority":352},"scripts/sandbox_manager.py",{"basePath":544,"description":545,"displayName":546,"installMethods":547,"rationale":548,"selectedPaths":549,"source":332,"sourceLanguage":18,"type":246},"skills/latent-briefing","This skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator worker context\", \"latent briefing\", \"reduce worker tokens\", \"cross-agent memory without summarization\", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.","latent-briefing",{"claudeCode":12},"SKILL.md frontmatter at 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