[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-muratcankoylan-tool-design-de":3,"guides-for-muratcankoylan-tool-design":629,"similar-k17e6gtgm9h8j9mx36kcbb74w986mq4x-de":630},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":242,"isFallback":239,"parentExtension":247,"providers":306,"relations":310,"repo":311,"tags":627,"workflow":628},1778694269038.671,"k17e6gtgm9h8j9mx36kcbb74w986mq4x",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"muratcankoylan/Agent-Skills-for-Context-Engineering","tool-design","https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":223,"workflow":240},1778694589962.2922,"kn7473zadqnk3cza5hrbh7bspd86n92d","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},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,100,104,108,111,115,118,122,125,128,131,134,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of designing agent tools and provides specific keywords and phrases that trigger the skill.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers significant value beyond default behavior by focusing on context engineering principles for tool design, consolidation, and architectural reduction, which are not standard agent capabilities.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides comprehensive documentation, examples, and clear guidance on tool design principles, making it suitable for immediate use in developing agent workflows.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses solely on the design and architecture of agent tools, adhering to a single domain without extending into unrelated areas.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's purpose, focusing on tool design for agents, consolidation, and architectural reduction.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill, not an MCP server, and does not expose individual tools directly.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","The skill does not have configurable parameters or environment variables that require documentation.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill, not an MCP server, and does not expose individual tools with names.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This is a skill, not an MCP server, and does not expose individual tools with parameters or response shapes.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The MIT license is clearly stated in the LICENSE file and is a permissive open-source license.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on 2026-04-14, which is within the last 90 days.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","The extension does not appear to use third-party dependencies that require explicit management.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill does not handle secrets.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill's documentation emphasizes treating content as data and avoiding execution of external instructions, with no evidence of remote content loading.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill bundles all content and code within the repository, with no evidence of runtime downloads or remote execution.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill is purely informational and does not perform any file system operations or interact with the sandbox environment.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","The skill's content is purely instructional and contains no scripts or code that could be used for sandbox escapes.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill is purely informational and does not perform any outbound network calls or handle confidential data.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, ANSI escapes, or invisible characters.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's content consists of plain markdown text and Python pseudocode examples, with no obfuscation or runtime code fetching.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill makes no assumptions about the user's project structure, focusing on general principles.",{"category":96,"check":97,"severity":98,"summary":99},"Trust","Issues Attention","warning","Open issues: 6, Closed issues (last 90d): 2. Closure rate is 25%, indicating a potential for slow response to issues.",{"category":101,"check":102,"severity":24,"summary":103},"Versioning","Release Management","The skill has a declared version (2.0.0) in its metadata.",{"category":105,"check":106,"severity":42,"summary":107},"Execution","Validation","The skill itself does not execute code or handle structured input/output.",{"category":66,"check":109,"severity":42,"summary":110},"Unguarded Destructive Operations","The skill is purely informational and does not perform any destructive operations.",{"category":112,"check":113,"severity":42,"summary":114},"Code Execution","Error Handling","The skill is purely informational and does not contain executable code that could produce errors.",{"category":112,"check":116,"severity":42,"summary":117},"Logging","The skill is purely informational and does not perform actions that require logging.",{"category":119,"check":120,"severity":42,"summary":121},"Compliance","GDPR","The skill is purely informational and does not process personal data.",{"category":119,"check":123,"severity":24,"summary":124},"Target market","The skill's principles are general and applicable globally, with no regional restrictions detected.",{"category":92,"check":126,"severity":24,"summary":127},"Runtime stability","The skill's content is platform-agnostic and does not make assumptions about specific runtimes or operating systems.",{"category":45,"check":129,"severity":24,"summary":130},"README","The README file exists and provides a good overview of the repository's purpose and structure.",{"category":33,"check":132,"severity":42,"summary":133},"Tool surface size","This is a skill, not an MCP server, and does not expose individual tools.",{"category":40,"check":135,"severity":42,"summary":133},"Overlapping near-synonym tools",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","All features mentioned in the README and SKILL.md have corresponding implementations or documented concepts within the repository.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides clear, copy-pasteable instructions for installing the plugin in Claude Code and for using individual skills.",{"category":144,"check":145,"severity":42,"summary":146},"Errors","Actionable error messages","The skill itself does not have user-facing error paths; it provides guidance on designing actionable error messages for tools.",{"category":105,"check":148,"severity":42,"summary":149},"Pinned dependencies","The skill is informational and does not bundle scripts with dependencies.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","The skill is purely informational and does not perform state-changing operations.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","The skill is purely informational and does not involve remote calls or state-changing operations.",{"category":119,"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 description clearly defines the skill's purpose (tool design for agents) and its scope (consolidation, architectural reduction, etc.) with specific triggers.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The frontmatter is concise, accurately summarizing the core capability and providing specific trigger phrases.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md body is well-structured, delegates deeper material to reference files, and stays within reasonable length limits.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The SKILL.md outlines procedures and links to relevant reference files, demonstrating effective progressive disclosure.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","This skill is instructional and does not involve deep exploration or code review that would require forked context.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The SKILL.md includes detailed, ready-to-use examples demonstrating tool design principles and failure modes.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill addresses edge cases and limitations in tool design, providing documentation on failure modes and recovery steps.",{"category":112,"check":183,"severity":42,"summary":184},"Tool Fallback","This skill is informational and does not rely on or declare external tools with fallbacks.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill's documentation emphasizes the importance of halting on unexpected states and reporting them, aligning with safety principles.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill is self-contained and explicitly links to related skills rather than implicitly relying on them.",1778694589857,"This skill provides comprehensive guidance on designing and structuring tools for AI agents, emphasizing principles like consolidation, architectural reduction, and clear description engineering. It includes best practices, case studies, and Python pseudocode examples.",[195,196,197,198,199],"Tool description engineering best practices","Consolidation principle for tool design","Architectural reduction strategies","Error message design for agent recovery","MCP tool naming conventions",[201,202,203],"Providing a runtime environment for tools","Directly implementing agent logic","Designing user-facing APIs","3.0.0","4.4.0","To guide users in creating robust and effective tools for AI agents by focusing on clarity, conciseness, and agent-centric design principles.","The primary concern is the low closure rate on issues, suggesting potential maintenance delays. Additionally, the documentation mentions MCP namespaces but the skill itself doesn't expose tools, making that specific check not applicable.",78,"A high-quality skill focused on designing effective agent tools, with excellent documentation and practical examples.",[211,212,213,13,214,215],"agent-tools","context-engineering","prompt-engineering","mcp","architecture","global","community",[219,220,221,222],"Designing new agent tools from scratch","Refactoring existing tool sets for better agent performance","Implementing MCP tools with proper naming conventions","Auditing tool descriptions for clarity and completeness",{"codeQuality":224,"collectedAt":226,"documentation":227,"maintenance":230,"security":236,"testCoverage":238},{"hasLockfile":225},false,1778694576648,{"descriptionLength":228,"readmeSize":229},254,13763,{"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},1778694589962,{"basePath":243,"githubOwner":244,"githubRepo":245,"locale":18,"slug":13,"type":246},"skills/tool-design","muratcankoylan","Agent-Skills-for-Context-Engineering","skill",{"_creationTime":248,"_id":249,"community":250,"display":251,"identity":255,"parentExtension":258,"providers":289,"relations":302,"tags":303,"workflow":304},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":283,"tags":285,"workflow":286},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":276},{"promptVersionExtension":269,"promptVersionScoring":205,"score":270,"tags":271,"targetMarket":216,"tier":217},"3.1.0",75,[272,273,212,274,275,215],"ai","agent-skills","llm","development",{"commitSha":277,"license":237,"marketplace":278,"plugin":281},"HEAD",{"name":279,"pluginCount":280},"context-engineering-marketplace",1,{"mcpCount":8,"provider":282,"skillCount":8},"classify",{"repoId":284},"kd7f12maf5nxmx5xttjx7scfnx86m1tv",[273,272,215,212,275,274],{"evaluatedAt":287,"extractAt":288,"updatedAt":287},1778694283498,1778694269038,{"evaluate":290,"extract":299},{"promptVersionExtension":204,"promptVersionScoring":205,"score":291,"tags":292,"targetMarket":216,"tier":298},95,[212,293,213,294,295,296,297],"ai-agents","multi-agent-systems","llm-operations","agent-architecture","cognitive-architecture","verified",{"commitSha":277,"license":237,"plugin":300},{"mcpCount":8,"provider":282,"skillCount":301},14,{"parentExtensionId":260,"repoId":284},[296,293,297,212,295,294,213],{"evaluatedAt":305,"extractAt":288,"updatedAt":305},1778694291902,{"evaluate":307,"extract":309},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":308,"targetMarket":216,"tier":217},[211,212,213,13,214,215],{"commitSha":277},{"parentExtensionId":249,"repoId":284},{"_creationTime":312,"_id":284,"identity":313,"providers":314,"workflow":623},1778694264629.3296,{"githubOwner":244,"githubRepo":245,"sourceUrl":14},{"classify":315,"discover":617,"github":620},{"commitSha":277,"extensions":316},[317,330,338,365,388,409,423,441,457,469,481,493,505,517,528,540,550,562,574,588,599,607],{"basePath":256,"description":263,"displayName":279,"installMethods":318,"rationale":319,"selectedPaths":320,"source":329,"sourceLanguage":18,"type":266},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[321,324,326],{"path":322,"priority":323},".claude-plugin/marketplace.json","mandatory",{"path":325,"priority":323},"README.md",{"path":327,"priority":328},"LICENSE","high","rule",{"basePath":256,"description":252,"displayName":212,"installMethods":331,"rationale":332,"selectedPaths":333,"source":329,"sourceLanguage":18,"type":257},{"claudeCode":245},"inline plugin source from marketplace.json at / (coalesced with duplicate plugin at .plugin)",[334,335,336],{"path":325,"priority":323},{"path":327,"priority":328},{"path":337,"priority":328},"SKILL.md",{"basePath":339,"description":340,"displayName":341,"installMethods":342,"rationale":343,"selectedPaths":344,"source":329,"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",[345,346,347,350,352,354,356,359,361,363],{"path":337,"priority":323},{"path":325,"priority":328},{"path":348,"priority":349},"examples/gertrude-stein/README.md","low",{"path":351,"priority":349},"examples/gertrude-stein/dataset_sample.jsonl",{"path":353,"priority":349},"examples/gertrude-stein/sample_outputs.md",{"path":355,"priority":349},"examples/gertrude-stein/training_config.json",{"path":357,"priority":358},"references/segmentation-strategies.md","medium",{"path":360,"priority":358},"references/tinker-format.md",{"path":362,"priority":358},"references/tinker.txt",{"path":364,"priority":349},"scripts/pipeline_example.py",{"basePath":366,"description":367,"displayName":368,"installMethods":369,"rationale":370,"selectedPaths":371,"source":329,"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",[372,373,374,376,378,380,382,384,386],{"path":337,"priority":323},{"path":325,"priority":328},{"path":375,"priority":358},"AGENT.md",{"path":377,"priority":358},"HOW-SKILLS-BUILT-THIS.md",{"path":379,"priority":358},"SKILLS-MAPPING.md",{"path":381,"priority":349},"examples/content-workflow.md",{"path":383,"priority":349},"examples/meeting-prep.md",{"path":385,"priority":358},"references/file-formats.md",{"path":387,"priority":349},"scripts/install.sh",{"basePath":389,"description":390,"displayName":391,"installMethods":392,"rationale":393,"selectedPaths":394,"source":329,"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",[395,396,397,399,401,403,405,407],{"path":337,"priority":323},{"path":325,"priority":328},{"path":398,"priority":349},"docs/agentthinking.md",{"path":400,"priority":349},"docs/interleavedthinking.md",{"path":402,"priority":349},"docs/m2-1.md",{"path":404,"priority":349},"examples/01_basic_capture.py",{"path":406,"priority":349},"examples/02_tool_usage.py",{"path":408,"priority":349},"examples/03_full_optimization.py",{"basePath":410,"description":411,"displayName":412,"installMethods":413,"rationale":414,"selectedPaths":415,"source":329,"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",[416,417,419,421],{"path":337,"priority":323},{"path":418,"priority":358},"references/optimization_summary.json",{"path":420,"priority":358},"references/optimized_prompt.txt",{"path":422,"priority":358},"references/patterns_found.json",{"basePath":424,"description":425,"displayName":426,"installMethods":427,"rationale":428,"selectedPaths":429,"source":329,"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",[430,431,433,435,437,439],{"path":337,"priority":323},{"path":432,"priority":358},"references/bias-mitigation.md",{"path":434,"priority":358},"references/evaluation-pipeline.md",{"path":436,"priority":358},"references/implementation-patterns.md",{"path":438,"priority":358},"references/metrics-guide.md",{"path":440,"priority":349},"scripts/evaluation_example.py",{"basePath":442,"description":443,"displayName":444,"installMethods":445,"rationale":446,"selectedPaths":447,"source":329,"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",[448,449,451,453,455],{"path":337,"priority":323},{"path":450,"priority":358},"references/bdi-ontology-core.md",{"path":452,"priority":358},"references/framework-integration.md",{"path":454,"priority":358},"references/rdf-examples.md",{"path":456,"priority":358},"references/sparql-competency.md",{"basePath":458,"description":459,"displayName":460,"installMethods":461,"rationale":462,"selectedPaths":463,"source":329,"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",[464,465,467],{"path":337,"priority":323},{"path":466,"priority":358},"references/evaluation-framework.md",{"path":468,"priority":349},"scripts/compression_evaluator.py",{"basePath":470,"description":471,"displayName":472,"installMethods":473,"rationale":474,"selectedPaths":475,"source":329,"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",[476,477,479],{"path":337,"priority":323},{"path":478,"priority":358},"references/patterns.md",{"path":480,"priority":349},"scripts/degradation_detector.py",{"basePath":482,"description":483,"displayName":484,"installMethods":485,"rationale":486,"selectedPaths":487,"source":329,"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",[488,489,491],{"path":337,"priority":323},{"path":490,"priority":358},"references/context-components.md",{"path":492,"priority":349},"scripts/context_manager.py",{"basePath":494,"description":495,"displayName":496,"installMethods":497,"rationale":498,"selectedPaths":499,"source":329,"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",[500,501,503],{"path":337,"priority":323},{"path":502,"priority":358},"references/optimization_techniques.md",{"path":504,"priority":349},"scripts/compaction.py",{"basePath":506,"description":507,"displayName":508,"installMethods":509,"rationale":510,"selectedPaths":511,"source":329,"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",[512,513,515],{"path":337,"priority":323},{"path":514,"priority":358},"references/metrics.md",{"path":516,"priority":349},"scripts/evaluator.py",{"basePath":518,"description":519,"displayName":520,"installMethods":521,"rationale":522,"selectedPaths":523,"source":329,"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",[524,525,526],{"path":337,"priority":323},{"path":436,"priority":358},{"path":527,"priority":349},"scripts/filesystem_context.py",{"basePath":529,"description":530,"displayName":531,"installMethods":532,"rationale":533,"selectedPaths":534,"source":329,"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",[535,536,538],{"path":337,"priority":323},{"path":537,"priority":358},"references/infrastructure-patterns.md",{"path":539,"priority":349},"scripts/sandbox_manager.py",{"basePath":541,"description":542,"displayName":543,"installMethods":544,"rationale":545,"selectedPaths":546,"source":329,"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 skills/latent-briefing/SKILL.md",[547,548],{"path":337,"priority":323},{"path":549,"priority":358},"references/attention-matching-formulation.md",{"basePath":551,"description":552,"displayName":553,"installMethods":554,"rationale":555,"selectedPaths":556,"source":329,"sourceLanguage":18,"type":246},"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":337,"priority":323},{"path":559,"priority":358},"references/implementation.md",{"path":561,"priority":349},"scripts/memory_store.py",{"basePath":563,"description":564,"displayName":565,"installMethods":566,"rationale":567,"selectedPaths":568,"source":329,"sourceLanguage":18,"type":246},"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":337,"priority":323},{"path":571,"priority":358},"references/frameworks.md",{"path":573,"priority":349},"scripts/coordination.py",{"basePath":575,"description":576,"displayName":577,"installMethods":578,"rationale":579,"selectedPaths":580,"source":329,"sourceLanguage":18,"type":246},"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":337,"priority":323},{"path":583,"priority":358},"references/case-studies.md",{"path":585,"priority":358},"references/pipeline-patterns.md",{"path":587,"priority":349},"scripts/pipeline_template.py",{"basePath":243,"description":10,"displayName":13,"installMethods":589,"rationale":590,"selectedPaths":591,"source":329,"sourceLanguage":18,"type":246},{"claudeCode":12},"SKILL.md frontmatter at skills/tool-design/SKILL.md",[592,593,595,597],{"path":337,"priority":323},{"path":594,"priority":358},"references/architectural_reduction.md",{"path":596,"priority":358},"references/best_practices.md",{"path":598,"priority":349},"scripts/description_generator.py",{"basePath":600,"description":601,"displayName":602,"installMethods":603,"rationale":604,"selectedPaths":605,"source":329,"sourceLanguage":18,"type":246},"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",[606],{"path":337,"priority":323},{"basePath":389,"installMethods":608,"rationale":609,"selectedPaths":610,"source":329,"sourceLanguage":18,"type":616},{"pypi":391},"cli ecosystem detected at examples/interleaved-thinking",[611,613,614],{"path":612,"priority":323},"pyproject.toml",{"path":325,"priority":323},{"path":615,"priority":358},"reasoning_trace_optimizer/cli.py","cli",{"sources":618},[619],"manual",{"closedIssues90d":231,"description":621,"forks":232,"license":237,"openIssues90d":233,"pushedAt":234,"readmeSize":229,"stars":235,"topics":622},"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":624,"discoverAt":625,"extractAt":626,"githubAt":626,"updatedAt":624},1778694268713,1778694264629,1778694266904,[211,215,212,214,213,13],{"evaluatedAt":241,"extractAt":288,"updatedAt":241},[],[631,660,687,715,747,776],{"_creationTime":632,"_id":633,"community":634,"display":635,"identity":641,"providers":645,"relations":653,"tags":656,"workflow":657},1778694480889.9487,"k17eg219cke0p45yfhh8n2t37986mgm4",{"reviewCount":8},{"description":636,"installMethods":637,"name":639,"sourceUrl":640},"Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration",{"claudeCode":638},"NeoLabHQ/context-engineering-kit","create-command","https://github.com/NeoLabHQ/context-engineering-kit",{"basePath":642,"githubOwner":643,"githubRepo":644,"locale":18,"slug":639,"type":246},"plugins/customaize-agent/skills/create-command","NeoLabHQ","context-engineering-kit",{"evaluate":646,"extract":652},{"promptVersionExtension":204,"promptVersionScoring":205,"score":647,"tags":648,"targetMarket":216,"tier":298},100,[649,650,213,214,651],"command-creation","agent-development","claude-code",{"commitSha":277},{"parentExtensionId":654,"repoId":655},"k173g0c46wghgz5j9gn02wfydn86mkh8","kd7a3rj13ezgx1wgm0jfh08hsx86n0sz",[650,651,649,214,213],{"evaluatedAt":658,"extractAt":659,"updatedAt":658},1778694773368,1778694480890,{"_creationTime":661,"_id":662,"community":663,"display":664,"identity":670,"providers":674,"relations":681,"tags":683,"workflow":684},1778688417731.9524,"k1707xhgzmayy83wtdgw2j0n2s86nkmv",{"reviewCount":8},{"description":665,"installMethods":666,"name":668,"sourceUrl":669},"Use when the agent wants to define, list, inspect, or execute GUI macros via the MacroCLI CLI. Macros are parameterized, CLI-callable workflows — the agent invokes `macro run \u003Cname>` and the system handles backend routing (plugin, file transform, accessibility, compiled GUI replay).\n",{"claudeCode":667},"hkuds/cli-anything","cli-anything-macrocli","https://github.com/hkuds/cli-anything",{"basePath":671,"githubOwner":672,"githubRepo":673,"locale":18,"slug":668,"type":246},"skills/cli-anything-macrocli","hkuds","cli-anything",{"evaluate":675,"extract":680},{"promptVersionExtension":204,"promptVersionScoring":205,"score":647,"tags":676,"targetMarket":216,"tier":298},[616,677,678,679,211],"automation","macros","workflow",{"commitSha":277},{"repoId":682},"kd7e2bra4ymb6r521a25r6yges86n35p",[211,677,616,678,679],{"evaluatedAt":685,"extractAt":686,"updatedAt":685},1778689183564,1778688417732,{"_creationTime":688,"_id":689,"community":690,"display":691,"identity":697,"providers":701,"relations":709,"tags":711,"workflow":712},1778696691708.3062,"k178rt0mhkwtjj1axhgtt0tfth86mt09",{"reviewCount":8},{"description":692,"installMethods":693,"name":695,"sourceUrl":696},"Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.",{"claudeCode":694},"ruvnet/ruflo","v3-ddd-architecture","https://github.com/ruvnet/ruflo",{"basePath":698,"githubOwner":699,"githubRepo":700,"locale":18,"slug":695,"type":246},".claude/skills/v3-ddd-architecture","ruvnet","ruflo",{"evaluate":702,"extract":708},{"promptVersionExtension":204,"promptVersionScoring":205,"score":647,"tags":703,"targetMarket":216,"tier":298},[704,215,705,706,707],"ddd","refactoring","clean-architecture","typescript",{"commitSha":277},{"repoId":710},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[215,706,704,705,707],{"evaluatedAt":713,"extractAt":714,"updatedAt":713},1778699412094,1778696691708,{"_creationTime":716,"_id":717,"community":718,"display":719,"identity":725,"providers":731,"relations":739,"tags":742,"workflow":743},1778698405469.0413,"k17e4wbf2c3x45d7e730x7eje986mc5g",{"reviewCount":8},{"description":720,"installMethods":721,"name":723,"sourceUrl":724},"Ordnet eine Codebasis in Feature-gruppierte Flussdiagramme ein, identifiziert doppelte Belange über Features hinweg und schlägt eine einheitliche Architektur vor. Wird verwendet, wenn nach \"dem idealen Pfad\" gefragt wird, duplizierte Systeme vereinheitlicht oder die Architektur vor einem Refactoring auditiert werden soll. Gibt ein vorgeschlagenes einheitliches Flussdiagramm sowie Prompts zum Erstellen eines Plans pro System aus.",{"claudeCode":722},"thedotmack/claude-mem","Pathfinder","https://github.com/thedotmack/claude-mem",{"basePath":726,"githubOwner":727,"githubRepo":728,"locale":729,"slug":730,"type":246},"plugin/skills/pathfinder","thedotmack","claude-mem","de","pathfinder",{"evaluate":732,"extract":737},{"promptVersionExtension":204,"promptVersionScoring":205,"score":647,"tags":733,"targetMarket":216,"tier":298},[734,215,735,705,736],"code-analysis","documentation","flowchart",{"commitSha":277,"license":738},"Apache-2.0",{"repoId":740,"translatedFrom":741},"kd70jnxgm695az2wtf37zbqdj986mp7k","k176pxdjxvnyex7jv6abt3myd586n5vv",[215,734,735,736,705],{"evaluatedAt":744,"extractAt":745,"updatedAt":746},1778698228002,1778698056313,1778698405469,{"_creationTime":748,"_id":749,"community":750,"display":751,"identity":757,"providers":761,"relations":768,"tags":771,"workflow":772},1778692764716.7837,"k17ex2pfs1bykksynnhwdp5ywd86mjtd",{"reviewCount":8},{"description":752,"installMethods":753,"name":755,"sourceUrl":756},"Analysieren Sie eine Codebasis, um einen interaktiven Wissensgraphen zur Verständnis von Architektur, Komponenten und Beziehungen zu erstellen",{"claudeCode":754},"Lum1104/Understand-Anything","understand","https://github.com/Lum1104/Understand-Anything",{"basePath":758,"githubOwner":759,"githubRepo":760,"locale":729,"slug":755,"type":246},"understand-anything-plugin/skills/understand","Lum1104","Understand-Anything",{"evaluate":762,"extract":767},{"promptVersionExtension":204,"promptVersionScoring":205,"score":647,"tags":763,"targetMarket":216,"tier":298},[734,764,765,215,766],"knowledge-graph","developer-tools","code-exploration",{"commitSha":277},{"repoId":769,"translatedFrom":770},"kd78egfytykkxxbpr6k3t7wsph86n83x","k17cmt6ekj6t5bf5dbscrqa3an86m6p3",[215,734,766,765,764],{"evaluatedAt":773,"extractAt":774,"updatedAt":775},1778692606129,1778692549705,1778692764716,{"_creationTime":777,"_id":778,"community":779,"display":780,"identity":786,"providers":790,"relations":801,"tags":804,"workflow":805},1778691344230.127,"k171ek0rpwqxg9vk3fqg7067jn86mq22",{"reviewCount":8},{"description":781,"installMethods":782,"name":784,"sourceUrl":785},"Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.",{"claudeCode":783},"jeffallan/claude-skills","cloud-architect","https://github.com/jeffallan/claude-skills",{"basePath":787,"githubOwner":788,"githubRepo":789,"locale":18,"slug":784,"type":246},"skills/cloud-architect","jeffallan","claude-skills",{"evaluate":791,"extract":800},{"promptVersionExtension":204,"promptVersionScoring":205,"score":647,"tags":792,"targetMarket":216,"tier":298},[793,794,795,796,215,797,798,799],"cloud","aws","azure","gcp","migration","cost-optimization","disaster-recovery",{"commitSha":277},{"parentExtensionId":802,"repoId":803},"k177fx0q0bsftkws6j1av221j186ndt6","kd77w37et655xneae33d1p2d2n86ncxp",[215,794,795,793,798,799,796,797],{"evaluatedAt":806,"extractAt":807,"updatedAt":806},1778691534007,1778691344230]