[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-muratcankoylan-bdi-mental-states-zh-CN":3,"guides-for-muratcankoylan-bdi-mental-states":632,"similar-k17bmr6q32gncnfmz1h6jmrqgh86n6nh-zh-CN":633},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":244,"isFallback":241,"parentExtension":249,"providers":309,"relations":313,"repo":314,"tags":630,"workflow":631},1778694269038.668,"k17bmr6q32gncnfmz1h6jmrqgh86n6nh",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"muratcankoylan/Agent-Skills-for-Context-Engineering","bdi-mental-states","https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":225,"workflow":242},1778694396794.423,"kn7a13eg66tjv2nyc0gnneykvh86mgk9","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":218,"tier":219,"useCases":220},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly identifies the problem of modeling agent mental states using BDI architecture and names specific user intents and related AI concepts.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers a specialized implementation of BDI ontology patterns for modeling mental states, going beyond basic prompt engineering by providing structured RDF representations and reasoning chains.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides detailed ontology definitions, example code, and integration patterns for frameworks like SEMAS and JADE, indicating it is ready for use in production workflows.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses exclusively on BDI mental state modeling, using RDF and cognitive architectures, with no unrelated capabilities included.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's purpose of modeling agent mental states using BDI and RDF, including relevant keywords and use cases.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill, not a tool-based extension, 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 have configurable parameters or options that require documentation.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill, not a tool-based extension, so tool naming conventions do not apply.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This is a skill, not a tool-based extension, so I/O surface area is not applicable.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The license is MIT, as detected from the bundled LICENSE file, which is a permissive open-source license.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on April 14, 2026, which is within the last 3 months.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","The skill itself does not appear to have external dependencies that require management.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill does not handle or expose secrets.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill's design principles emphasize treating external data as untrusted and grounding mental states in world states, aligning with injection prevention.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill focuses on defining ontology and reasoning patterns, with no indication of runtime external file loading or execution of uncommitted content.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","As a knowledge-based skill, it operates within its defined scope and does not interact with or modify external file systems or sensitive areas.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","The skill's content does not include scripts or instructions that could facilitate sandbox escape.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill's focus on internal cognitive modeling and ontology does not involve reading or submitting confidential data to third parties.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled files appear to be clean, well-formatted markdown and code, without hidden text tricks.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's content is presented as clear markdown and Turtle RDF, with no signs of obfuscation or opaque code execution.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill relies on standard RDF and BDI ontology patterns, making no assumptions about user-specific project structures.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","Open issues: 6 (last 90d). Closed issues: 2 (last 90d). This indicates active maintenance and responsiveness.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The skill has a declared version (2.0.0) in the SKILL.md frontmatter, indicating clear versioning.",{"category":104,"check":105,"severity":24,"summary":106},"Execution","Validation","The skill's content is primarily ontology definitions and code examples, which are inherently structured and validated by RDF/SPARQL parsers, not subject to traditional input validation.",{"category":66,"check":108,"severity":42,"summary":109},"Unguarded Destructive Operations","The skill is purely knowledge-based and does not perform any destructive operations.",{"category":111,"check":112,"severity":42,"summary":113},"Code Execution","Error Handling","The skill itself does not contain executable code that would produce runtime errors. Errors would be handled by the execution environment or consuming agent.",{"category":111,"check":115,"severity":42,"summary":116},"Logging","As a knowledge skill, it does not perform actions that require local audit logging.",{"category":118,"check":119,"severity":42,"summary":120},"Compliance","GDPR","The skill operates on abstract concepts and ontology, not personal data.",{"category":118,"check":122,"severity":24,"summary":123},"Target market","The skill's concepts are universal to agent cognition and AI research, with no regional or jurisdictional limitations detected; targetMarket is global.",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","The skill's content is based on standard RDF, SPARQL, and general programming concepts, ensuring broad portability across different runtime environments.",{"category":45,"check":128,"severity":24,"summary":129},"README","The README file provides a comprehensive overview of the repository, its skills, and context engineering principles.",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface size","This is a skill, not a collection of tools, so tool surface size is not applicable.",{"category":40,"check":134,"severity":42,"summary":135},"Overlapping near-synonym tools","This is a skill, not a collection of tools, so overlapping tool names are not applicable.",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","All advertised concepts and patterns in the documentation (SKILL.md and README) are clearly defined and implemented within the ontology and examples.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides clear installation instructions for Claude Code, including adding the marketplace and installing the plugin, along with options for custom implementations.",{"category":144,"check":145,"severity":42,"summary":146},"Errors","Actionable error messages","As a knowledge skill, it does not have user-facing error paths that require specific messages or remediation steps.",{"category":104,"check":148,"severity":42,"summary":149},"Pinned dependencies","The skill itself does not bundle scripts with dependencies; it defines an ontology and conceptual patterns.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","The skill does not perform state-changing operations, making a dry-run preview irrelevant.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","This skill does not involve remote calls or state-changing operations that require idempotency or timeouts.",{"category":118,"check":158,"severity":42,"summary":159},"Telemetry opt-in","The skill does not emit telemetry.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The SKILL.md description clearly defines the purpose (modeling agent mental states with BDI ontology) and when to use it (specific user queries, concepts).",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The frontmatter in SKILL.md is concise and effectively summarizes the skill's core capability and triggers.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md content is well-structured and reasonably concise, with detailed examples and references provided in separate files, adhering to progressive disclosure.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The skill uses separate markdown files for references (e.g., BDI Ontology Core, RDF Examples), allowing for progressive disclosure of detailed information.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","This skill is knowledge-based and does not involve exploration or deep code review, so `context: fork` is not applicable.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The skill includes comprehensive RDF examples, integration patterns, and SPARQL competency queries that demonstrate its usage and validate implementation.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The 'Gotchas' section in SKILL.md explicitly documents common pitfalls and limitations, providing recovery insights.",{"category":111,"check":183,"severity":42,"summary":184},"Tool Fallback","This is a skill, not a tool-based extension, so tool fallback mechanisms are not applicable.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The 'Gotchas' section and detailed examples implicitly guide users to halt and report issues related to unexpected states or incorrect implementations.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill is self-contained in its domain of BDI modeling. While it references other skills for integration (e.g., LAG, SEMAS), it does not implicitly rely on them being loaded.",1778694396655,"This skill provides a detailed BDI ontology for modeling agent mental states (beliefs, desires, intentions) and their associated processes. It includes extensive examples in RDF/Turtle, SPARQL queries for validation, and integration patterns for common agent frameworks.",[195,196,197,198,199],"Model BDI beliefs, desires, and intentions with RDF","Define mental processes (BeliefProcess, DesireProcess, etc.)","Ground mental states in world states with temporal validity","Provide justification for mental states for explainability","Integrate with agent frameworks via ontology translation",[201,202,203],"Directly executing agent actions (focus is on mental state modeling)","Providing a complete agent runtime environment","Replacing prompt engineering; complements it with structured context","3.0.0","4.4.0","Model agent mental states using formal BDI ontology patterns, enabling agents to reason about context through cognitive architecture for improved deliberative reasoning and explainability.","The skill is exceptionally well-documented with a clear ontology, detailed examples, and robust explanations of BDI concepts and integration patterns. All checks passed or were not applicable.",98,"A high-quality skill for modeling agent mental states using BDI ontology and RDF.",[211,212,213,214,215,216,217],"ai","agent","ontology","rdf","bdi","cognitive-architecture","reasoning","global","verified",[221,222,223,224],"Processing external RDF context into agent beliefs","Implementing BDI frameworks for rational agency","Enabling explainability through traceable reasoning chains","Augmenting LLMs with formal cognitive structures (LAG)",{"codeQuality":226,"collectedAt":228,"documentation":229,"maintenance":232,"security":238,"testCoverage":240},{"hasLockfile":227},false,1778694380663,{"descriptionLength":230,"readmeSize":231},300,13763,{"closedIssues90d":233,"forks":234,"hasChangelog":227,"openIssues90d":235,"pushedAt":236,"stars":237},2,1237,6,1776141908000,15630,{"hasNpmPackage":227,"license":239,"smitheryVerified":227},"MIT",{"hasCi":227,"hasTests":241},true,{"updatedAt":243},1778694396794,{"basePath":245,"githubOwner":246,"githubRepo":247,"locale":18,"slug":13,"type":248},"skills/bdi-mental-states","muratcankoylan","Agent-Skills-for-Context-Engineering","skill",{"_creationTime":250,"_id":251,"community":252,"display":253,"identity":257,"parentExtension":260,"providers":293,"relations":305,"tags":306,"workflow":307},1778694269038.6665,"k1754dy3wbsv2a5gr1a983zzs586njca",{"reviewCount":8},{"description":254,"installMethods":255,"name":256,"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":247},"Agent Skills for Context Engineering",{"basePath":258,"githubOwner":246,"githubRepo":247,"locale":18,"slug":247,"type":259},"","plugin",{"_creationTime":261,"_id":262,"community":263,"display":264,"identity":267,"providers":269,"relations":287,"tags":289,"workflow":290},1778694269038.6663,"k1796gc85sm2bx753svn59gp5186mpz4",{"reviewCount":8},{"description":265,"installMethods":266,"name":256,"sourceUrl":14},"Context Engineering skills for building production-grade AI agent systems",{"claudeCode":12},{"basePath":258,"githubOwner":246,"githubRepo":247,"locale":18,"slug":247,"type":268},"marketplace",{"evaluate":270,"extract":280},{"promptVersionExtension":271,"promptVersionScoring":205,"score":272,"tags":273,"targetMarket":218,"tier":279},"3.1.0",75,[211,274,275,276,277,278],"agent-skills","context-engineering","llm","development","architecture","community",{"commitSha":281,"license":239,"marketplace":282,"plugin":285},"HEAD",{"name":283,"pluginCount":284},"context-engineering-marketplace",1,{"mcpCount":8,"provider":286,"skillCount":8},"classify",{"repoId":288},"kd7f12maf5nxmx5xttjx7scfnx86m1tv",[274,211,278,275,277,276],{"evaluatedAt":291,"extractAt":292,"updatedAt":291},1778694283498,1778694269038,{"evaluate":294,"extract":302},{"promptVersionExtension":204,"promptVersionScoring":205,"score":295,"tags":296,"targetMarket":218,"tier":219},95,[275,297,298,299,300,301,216],"ai-agents","prompt-engineering","multi-agent-systems","llm-operations","agent-architecture",{"commitSha":281,"license":239,"plugin":303},{"mcpCount":8,"provider":286,"skillCount":304},14,{"parentExtensionId":262,"repoId":288},[301,297,216,275,300,299,298],{"evaluatedAt":308,"extractAt":292,"updatedAt":308},1778694291902,{"evaluate":310,"extract":312},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":311,"targetMarket":218,"tier":219},[211,212,213,214,215,216,217],{"commitSha":281},{"parentExtensionId":251,"repoId":288},{"_creationTime":315,"_id":288,"identity":316,"providers":317,"workflow":626},1778694264629.3296,{"githubOwner":246,"githubRepo":247,"sourceUrl":14},{"classify":318,"discover":620,"github":623},{"commitSha":281,"extensions":319},[320,333,341,368,391,412,426,444,457,469,481,493,505,517,528,540,550,562,574,588,602,610],{"basePath":258,"description":265,"displayName":283,"installMethods":321,"rationale":322,"selectedPaths":323,"source":332,"sourceLanguage":18,"type":268},{"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":258,"description":254,"displayName":275,"installMethods":334,"rationale":335,"selectedPaths":336,"source":332,"sourceLanguage":18,"type":259},{"claudeCode":247},"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":248},"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":248},"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":248},"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":248},"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":248},"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":245,"description":10,"displayName":13,"installMethods":445,"rationale":446,"selectedPaths":447,"source":332,"sourceLanguage":18,"type":248},{"claudeCode":12},"SKILL.md frontmatter at skills/bdi-mental-states/SKILL.md",[448,449,451,453,455],{"path":340,"priority":326},{"path":450,"priority":361},"references/bdi-ontology-core.md",{"path":452,"priority":361},"references/framework-integration.md",{"path":454,"priority":361},"references/rdf-examples.md",{"path":456,"priority":361},"references/sparql-competency.md",{"basePath":458,"description":459,"displayName":460,"installMethods":461,"rationale":462,"selectedPaths":463,"source":332,"sourceLanguage":18,"type":248},"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",[464,465,467],{"path":340,"priority":326},{"path":466,"priority":361},"references/evaluation-framework.md",{"path":468,"priority":352},"scripts/compression_evaluator.py",{"basePath":470,"description":471,"displayName":472,"installMethods":473,"rationale":474,"selectedPaths":475,"source":332,"sourceLanguage":18,"type":248},"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",[476,477,479],{"path":340,"priority":326},{"path":478,"priority":361},"references/patterns.md",{"path":480,"priority":352},"scripts/degradation_detector.py",{"basePath":482,"description":483,"displayName":484,"installMethods":485,"rationale":486,"selectedPaths":487,"source":332,"sourceLanguage":18,"type":248},"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",[488,489,491],{"path":340,"priority":326},{"path":490,"priority":361},"references/context-components.md",{"path":492,"priority":352},"scripts/context_manager.py",{"basePath":494,"description":495,"displayName":496,"installMethods":497,"rationale":498,"selectedPaths":499,"source":332,"sourceLanguage":18,"type":248},"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",[500,501,503],{"path":340,"priority":326},{"path":502,"priority":361},"references/optimization_techniques.md",{"path":504,"priority":352},"scripts/compaction.py",{"basePath":506,"description":507,"displayName":508,"installMethods":509,"rationale":510,"selectedPaths":511,"source":332,"sourceLanguage":18,"type":248},"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",[512,513,515],{"path":340,"priority":326},{"path":514,"priority":361},"references/metrics.md",{"path":516,"priority":352},"scripts/evaluator.py",{"basePath":518,"description":519,"displayName":520,"installMethods":521,"rationale":522,"selectedPaths":523,"source":332,"sourceLanguage":18,"type":248},"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",[524,525,526],{"path":340,"priority":326},{"path":439,"priority":361},{"path":527,"priority":352},"scripts/filesystem_context.py",{"basePath":529,"description":530,"displayName":531,"installMethods":532,"rationale":533,"selectedPaths":534,"source":332,"sourceLanguage":18,"type":248},"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",[535,536,538],{"path":340,"priority":326},{"path":537,"priority":361},"references/infrastructure-patterns.md",{"path":539,"priority":352},"scripts/sandbox_manager.py",{"basePath":541,"description":542,"displayName":543,"installMethods":544,"rationale":545,"selectedPaths":546,"source":332,"sourceLanguage":18,"type":248},"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 skills/latent-briefing/SKILL.md",[547,548],{"path":340,"priority":326},{"path":549,"priority":361},"references/attention-matching-formulation.md",{"basePath":551,"description":552,"displayName":553,"installMethods":554,"rationale":555,"selectedPaths":556,"source":332,"sourceLanguage":18,"type":248},"skills/memory-systems","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","memory-systems",{"claudeCode":12},"SKILL.md frontmatter at skills/memory-systems/SKILL.md",[557,558,560],{"path":340,"priority":326},{"path":559,"priority":361},"references/implementation.md",{"path":561,"priority":352},"scripts/memory_store.py",{"basePath":563,"description":564,"displayName":565,"installMethods":566,"rationale":567,"selectedPaths":568,"source":332,"sourceLanguage":18,"type":248},"skills/multi-agent-patterns","This skill should be used when the user asks to \"design multi-agent system\", \"implement supervisor pattern\", \"create swarm architecture\", \"coordinate multiple agents\", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.","multi-agent-patterns",{"claudeCode":12},"SKILL.md frontmatter at skills/multi-agent-patterns/SKILL.md",[569,570,572],{"path":340,"priority":326},{"path":571,"priority":361},"references/frameworks.md",{"path":573,"priority":352},"scripts/coordination.py",{"basePath":575,"description":576,"displayName":577,"installMethods":578,"rationale":579,"selectedPaths":580,"source":332,"sourceLanguage":18,"type":248},"skills/project-development","This skill should be used when the user asks to \"start an LLM project\", \"design batch pipeline\", \"evaluate task-model fit\", \"structure agent project\", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.","project-development",{"claudeCode":12},"SKILL.md frontmatter at skills/project-development/SKILL.md",[581,582,584,586],{"path":340,"priority":326},{"path":583,"priority":361},"references/case-studies.md",{"path":585,"priority":361},"references/pipeline-patterns.md",{"path":587,"priority":352},"scripts/pipeline_template.py",{"basePath":589,"description":590,"displayName":591,"installMethods":592,"rationale":593,"selectedPaths":594,"source":332,"sourceLanguage":18,"type":248},"skills/tool-design","This skill should be used when the user asks to \"design agent tools\", \"create tool descriptions\", \"reduce tool complexity\", \"implement MCP tools\", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.","tool-design",{"claudeCode":12},"SKILL.md frontmatter at skills/tool-design/SKILL.md",[595,596,598,600],{"path":340,"priority":326},{"path":597,"priority":361},"references/architectural_reduction.md",{"path":599,"priority":361},"references/best_practices.md",{"path":601,"priority":352},"scripts/description_generator.py",{"basePath":603,"description":604,"displayName":605,"installMethods":606,"rationale":607,"selectedPaths":608,"source":332,"sourceLanguage":18,"type":248},"template","Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.","skill-template",{"claudeCode":12},"SKILL.md frontmatter at template/SKILL.md",[609],{"path":340,"priority":326},{"basePath":392,"installMethods":611,"rationale":612,"selectedPaths":613,"source":332,"sourceLanguage":18,"type":619},{"pypi":394},"cli ecosystem detected at examples/interleaved-thinking",[614,616,617],{"path":615,"priority":326},"pyproject.toml",{"path":328,"priority":326},{"path":618,"priority":361},"reasoning_trace_optimizer/cli.py","cli",{"sources":621},[622],"manual",{"closedIssues90d":233,"description":624,"forks":234,"license":239,"openIssues90d":235,"pushedAt":236,"readmeSize":231,"stars":237,"topics":625},"A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.",[],{"classifiedAt":627,"discoverAt":628,"extractAt":629,"githubAt":629,"updatedAt":627},1778694268713,1778694264629,1778694266904,[212,211,215,216,213,214,217],{"evaluatedAt":243,"extractAt":292,"updatedAt":243},[],[634,663,692,713,735,763],{"_creationTime":635,"_id":636,"community":637,"display":638,"identity":644,"providers":648,"relations":657,"tags":659,"workflow":660},1778696691708.2983,"k17c6tkghtgnr7jnsh6gf5mf9h86nk00",{"reviewCount":8},{"description":639,"installMethods":640,"name":642,"sourceUrl":643},"Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.",{"claudeCode":641},"ruvnet/ruflo","agentdb-memory-patterns","https://github.com/ruvnet/ruflo",{"basePath":645,"githubOwner":646,"githubRepo":647,"locale":18,"slug":642,"type":248},".claude/skills/agentdb-memory-patterns","ruvnet","ruflo",{"evaluate":649,"extract":656},{"promptVersionExtension":204,"promptVersionScoring":205,"score":650,"tags":651,"targetMarket":218,"tier":219},99,[211,212,652,653,654,655],"memory","database","typescript","nodejs",{"commitSha":281},{"repoId":658},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[212,211,653,652,655,654],{"evaluatedAt":661,"extractAt":662,"updatedAt":661},1778698807267,1778696691708,{"_creationTime":664,"_id":665,"community":666,"display":667,"identity":673,"providers":677,"relations":685,"tags":688,"workflow":689},1778699234184.6143,"k17cnx0m6a27fw52yvt4zsbsxh86nd1c",{"reviewCount":8},{"description":668,"installMethods":669,"name":671,"sourceUrl":672},"Configure popular MCP servers for enhanced agent capabilities",{"claudeCode":670},"Yeachan-Heo/oh-my-claudecode","mcp-setup","https://github.com/Yeachan-Heo/oh-my-claudecode",{"basePath":674,"githubOwner":675,"githubRepo":676,"locale":18,"slug":671,"type":248},"skills/mcp-setup","Yeachan-Heo","oh-my-claudecode",{"evaluate":678,"extract":684},{"promptVersionExtension":204,"promptVersionScoring":205,"score":679,"tags":680,"targetMarket":218,"tier":219},100,[681,682,619,212,683],"mcp","configuration","tooling",{"commitSha":281},{"parentExtensionId":686,"repoId":687},"k17brg5egdw1jbncj1j4wfv3fh86n639","kd74zv63fryf9prygtq7gf4es986n22y",[212,619,682,681,683],{"evaluatedAt":690,"extractAt":691,"updatedAt":690},1778699492025,1778699234184,{"_creationTime":693,"_id":694,"community":695,"display":696,"identity":700,"providers":702,"relations":709,"tags":710,"workflow":711},1778699234184.6133,"k170q6m14w6ah5ygc0jr5sa54986mpx7",{"reviewCount":8},{"description":697,"installMethods":698,"name":699,"sourceUrl":672},"Deep codebase initialization with hierarchical AGENTS.md documentation",{"claudeCode":670},"deepinit",{"basePath":701,"githubOwner":675,"githubRepo":676,"locale":18,"slug":699,"type":248},"skills/deepinit",{"evaluate":703,"extract":708},{"promptVersionExtension":204,"promptVersionScoring":205,"score":679,"tags":704,"targetMarket":218,"tier":219},[705,706,212,654,707],"documentation","codebase","javascript",{"commitSha":281},{"parentExtensionId":686,"repoId":687},[212,706,705,707,654],{"evaluatedAt":712,"extractAt":691,"updatedAt":712},1778699437749,{"_creationTime":714,"_id":715,"community":716,"display":717,"identity":721,"providers":723,"relations":731,"tags":732,"workflow":733},1778696691708.297,"k174kx68t1r1znb9ws0ndvkpt586nx68",{"reviewCount":8},{"description":718,"installMethods":719,"name":720,"sourceUrl":643},"Agent skill for worker-specialist - invoke with $agent-worker-specialist",{"claudeCode":641},"agent-worker-specialist",{"basePath":722,"githubOwner":646,"githubRepo":647,"locale":18,"slug":720,"type":248},".agents/skills/agent-worker-specialist",{"evaluate":724,"extract":730},{"promptVersionExtension":204,"promptVersionScoring":205,"score":679,"tags":725,"targetMarket":218,"tier":219},[212,726,727,728,729],"orchestration","task-execution","coordination","progress-reporting",{"commitSha":281},{"repoId":658},[212,728,726,729,727],{"evaluatedAt":734,"extractAt":662,"updatedAt":734},1778698724168,{"_creationTime":736,"_id":737,"community":738,"display":739,"identity":745,"providers":749,"relations":756,"tags":759,"workflow":760},1778696595410.5657,"k17bk9m02r7jkbzzqapbzfvq8h86m6qn",{"reviewCount":8},{"description":740,"installMethods":741,"name":743,"sourceUrl":744},"Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.",{"claudeCode":742},"rohitg00/pro-workflow","orchestrate","https://github.com/rohitg00/pro-workflow",{"basePath":746,"githubOwner":747,"githubRepo":748,"locale":18,"slug":743,"type":248},"skills/orchestrate","rohitg00","pro-workflow",{"evaluate":750,"extract":755},{"promptVersionExtension":204,"promptVersionScoring":205,"score":679,"tags":751,"targetMarket":218,"tier":219},[752,212,753,652,754],"llm-ops","workflow","knowledge-management",{"commitSha":281},{"parentExtensionId":757,"repoId":758},"k17fxtjcfh5gvxdrhv2dmgn1t986mdhv","kd7am4e918eq98hrd9s31jm4vs86nn0b",[212,754,752,652,753],{"evaluatedAt":761,"extractAt":762,"updatedAt":761},1778696881233,1778696595410,{"_creationTime":764,"_id":765,"community":766,"display":767,"identity":770,"providers":771,"relations":777,"tags":778,"workflow":779},1778694269038.6682,"k1752cypc448mke749yjbkc65186mg6f",{"reviewCount":8},{"description":459,"installMethods":768,"name":769,"sourceUrl":14},{"claudeCode":12},"Context Compression",{"basePath":458,"githubOwner":246,"githubRepo":247,"locale":18,"slug":460,"type":248},{"evaluate":772,"extract":776},{"promptVersionExtension":204,"promptVersionScoring":205,"score":679,"tags":773,"targetMarket":218,"tier":219},[275,276,212,774,775,508],"summarization","compression",{"commitSha":281,"license":239},{"parentExtensionId":251,"repoId":288},[212,775,275,508,276,774],{"evaluatedAt":780,"extractAt":292,"updatedAt":780},1778694410149]