[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-muratcankoylan-multi-agent-patterns-en":3,"guides-for-muratcankoylan-multi-agent-patterns":632,"similar-k1734wxqx3tscf0wrcp3pbrdh986ndsw-en":633},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":244,"isFallback":227,"parentExtension":249,"providers":309,"relations":313,"repo":314,"tags":630,"workflow":631},1778694269038.6704,"k1734wxqx3tscf0wrcp3pbrdh986ndsw",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"muratcankoylan/Agent-Skills-for-Context-Engineering","multi-agent-patterns","https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":225,"workflow":242},1778694558854.3896,"kn74gacqpnmpepdp3en4tpw3cs86n5s6","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},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of single-agent context limits and names specific use cases like 'design multi-agent system' and 'implement supervisor pattern'.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill addresses the specific problem of multi-agent coordination overhead and context isolation, offering value beyond basic LLM capabilities by detailing architectural patterns and trade-offs.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides detailed explanations, conceptual frameworks, and practical guidance for designing multi-agent systems, covering the full lifecycle of design and implementation.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses solely on multi-agent architectures and coordination patterns, without extending into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The description accurately reflects the skill's focus on multi-agent system design and coordination patterns.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill, not a tool-based extension, so tool scoping checks do not apply.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","The skill does not expose explicit parameters or configuration options that require documentation beyond its core instructions.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill, not a tool-based extension, so tool naming checks 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 checks do not apply.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The project includes an MIT License file, making it readily usable and redistributable.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The latest commit was on April 14, 2026, which is within the last 3 months.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","No third-party dependencies are explicitly managed or listed in the repository.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill does not interact with secrets or sensitive information.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill's content is primarily instructional prose and pseudocode, with no indication of loading untrusted third-party data as instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill's content is self-contained and does not fetch external resources at runtime, mitigating supply-chain risks.",{"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 environment outside its scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","The skill's content is instructional and does not contain scripts or code that could be used for sandbox escape.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill is instructional and does not involve sending any data, confidential or otherwise, to a third party.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content appears to be clean, readable prose and pseudocode, without hidden instructions or steering tricks.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's content consists of readable prose and pseudocode, with no obfuscated or dynamically fetched code.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill's instructions are conceptual and do not make assumptions about the user's project structure.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","With 6 issues opened and 2 closed in the last 90 days, the closure rate is 25%, which is acceptable given the low volume.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The skill has a clear version (2.0.0) in its metadata and CHANGELOG.md is present.",{"category":104,"check":105,"severity":42,"summary":106},"Code Execution","Validation","The skill primarily contains instructional text and pseudocode, without executable code that requires input validation via schemas.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill is instructional and does not perform any destructive operations.",{"category":104,"check":111,"severity":42,"summary":112},"Error Handling","As an instructional skill, it does not have error paths that require structured handling.",{"category":104,"check":114,"severity":42,"summary":115},"Logging","The skill is purely instructional and does not perform actions that would require logging.",{"category":117,"check":118,"severity":42,"summary":119},"Compliance","GDPR","The skill does not operate on personal data.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The skill's content is conceptual and generally applicable, with no regional restrictions detected; targetMarket is global.",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","The skill's pseudocode examples are framework-agnostic and do not assume a specific runtime environment.",{"category":45,"check":127,"severity":24,"summary":128},"README","The README provides a comprehensive overview of the repository's purpose and structure, including installation instructions.",{"category":33,"check":130,"severity":42,"summary":131},"Tool surface size","This is a skill, not a tool-based extension, so tool surface size checks do not apply.",{"category":40,"check":133,"severity":42,"summary":134},"Overlapping near-synonym tools","This is a skill, not a tool-based extension, so overlapping tool names do not apply.",{"category":45,"check":136,"severity":24,"summary":137},"Phantom features","All features described in the README and SKILL.md are supported by the provided content and pseudocode examples.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","The README provides clear, copy-pasteable installation instructions for Claude Code and other platforms.",{"category":143,"check":144,"severity":42,"summary":145},"Errors","Actionable error messages","The skill is instructional and does not have user-facing error paths.",{"category":147,"check":148,"severity":42,"summary":149},"Execution","Pinned dependencies","The skill uses pseudocode and does not rely on external dependencies that require pinning.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","The skill is instructional and does not involve state-changing operations that would require a dry-run preview.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","The skill is instructional and does not involve remote calls or state-changing operations requiring retry logic.",{"category":117,"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's description clearly defines its purpose related to multi-agent systems and names specific triggers and non-goals.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The frontmatter in SKILL.md is concise and effectively summarizes the skill's purpose and triggers.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md content is well-structured and under the recommended line limit, deferring detailed technical references.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The skill defers detailed framework-specific examples to a separate `references/frameworks.md` file.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","The skill's primary function is instruction and design guidance, not deep exploration that would require forked context.",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","The SKILL.md provides pseudocode examples for supervisor, swarm, and hierarchical patterns, demonstrating practical application.",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","The skill details failure modes like 'Supervisor Bottleneck', 'Coordination Overhead', and 'Error Propagation' with mitigation strategies.",{"category":104,"check":183,"severity":42,"summary":184},"Tool Fallback","This skill does not rely on external tools that would require fallback mechanisms.",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","The skill provides guidance on failure modes and mitigations, implicitly encouraging halting on unexpected states.",{"category":92,"check":190,"severity":24,"summary":191},"Cross-skill coupling","The skill's SKILL.md explicitly cross-references related skills like 'context-fundamentals' and 'memory-systems' rather than assuming their presence.",1778694558749,"This skill provides detailed explanations and practical guidance on various multi-agent architectural patterns, including supervisor, peer-to-peer/swarm, and hierarchical designs. It covers core concepts like context isolation, consensus mechanisms, and failure handling, with pseudocode examples and reference materials.",[195,196,197,198,199],"Explains supervisor, peer-to-peer, and hierarchical multi-agent patterns","Details context isolation as a primary design principle","Covers consensus mechanisms like weighted voting and debate protocols","Provides guidance on failure modes and mitigations","Includes pseudocode examples for implementation",[201,202,203],"Implementing specific agent frameworks","Providing ready-to-run agent code","Handling single-agent prompt engineering","3.0.0","4.4.0","To guide users in designing and implementing effective multi-agent systems by detailing architectural patterns, coordination protocols, and failure handling strategies.","The skill is well-documented, highly practical, and covers its scope comprehensively. No critical or warning findings were identified.",95,"Excellent skill for designing and implementing multi-agent systems.",[211,212,213,214,215,216,217],"multi-agent","architecture","coordination","supervisor","swarm","patterns","ai-systems","global","verified",[221,222,223,224],"Designing multi-agent systems","Implementing supervisor or swarm architectures","Coordinating multiple agents effectively","Decomposing complex tasks across agents",{"codeQuality":226,"collectedAt":228,"documentation":229,"maintenance":232,"security":238,"testCoverage":240},{"hasLockfile":227},false,1778694546151,{"descriptionLength":230,"readmeSize":231},277,13763,{"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},1778694558854,{"basePath":245,"githubOwner":246,"githubRepo":247,"locale":18,"slug":13,"type":248},"skills/multi-agent-patterns","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,[274,275,276,277,278,212],"ai","agent-skills","context-engineering","llm","development","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",[275,274,212,276,278,277],{"evaluatedAt":291,"extractAt":292,"updatedAt":291},1778694283498,1778694269038,{"evaluate":294,"extract":302},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":295,"targetMarket":218,"tier":219},[276,296,297,298,299,300,301],"ai-agents","prompt-engineering","multi-agent-systems","llm-operations","agent-architecture","cognitive-architecture",{"commitSha":281,"license":239,"plugin":303},{"mcpCount":8,"provider":286,"skillCount":304},14,{"parentExtensionId":262,"repoId":288},[300,296,301,276,299,298,297],{"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},[320,333,341,368,391,412,426,444,460,472,484,496,508,520,531,543,553,565,574,588,602,610],{"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":276,"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":445,"description":446,"displayName":447,"installMethods":448,"rationale":449,"selectedPaths":450,"source":332,"sourceLanguage":18,"type":248},"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":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",[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":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",[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":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",[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":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",[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":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",[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":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",[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":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",[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":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",[550,551],{"path":340,"priority":326},{"path":552,"priority":361},"references/attention-matching-formulation.md",{"basePath":554,"description":555,"displayName":556,"installMethods":557,"rationale":558,"selectedPaths":559,"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",[560,561,563],{"path":340,"priority":326},{"path":562,"priority":361},"references/implementation.md",{"path":564,"priority":352},"scripts/memory_store.py",{"basePath":245,"description":10,"displayName":13,"installMethods":566,"rationale":567,"selectedPaths":568,"source":332,"sourceLanguage":18,"type":248},{"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,[217,212,213,211,216,214,215],{"evaluatedAt":243,"extractAt":292,"updatedAt":243},[],[634,662,685,707,735,755],{"_creationTime":635,"_id":636,"community":637,"display":638,"identity":644,"providers":648,"relations":656,"tags":658,"workflow":659},1778696691708.3054,"k17by7bzagajqkcvcetdw10cz586nxbj",{"reviewCount":8},{"description":639,"installMethods":640,"name":642,"sourceUrl":643},"Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.",{"claudeCode":641},"ruvnet/ruflo","swarm-orchestration","https://github.com/ruvnet/ruflo",{"basePath":645,"githubOwner":646,"githubRepo":647,"locale":18,"slug":642,"type":248},".claude/skills/swarm-orchestration","ruvnet","ruflo",{"evaluate":649,"extract":655},{"promptVersionExtension":204,"promptVersionScoring":205,"score":650,"tags":651,"targetMarket":218,"tier":219},100,[652,211,215,653,213,654],"agent-orchestration","distributed-systems","ai-workflow",{"commitSha":281},{"repoId":657},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[652,654,213,653,211,215],{"evaluatedAt":660,"extractAt":661,"updatedAt":660},1778699363559,1778696691708,{"_creationTime":663,"_id":664,"community":665,"display":666,"identity":670,"providers":672,"relations":681,"tags":682,"workflow":683},1778696691708.2832,"k170vy33q3r509ry6xbazzcvvh86nxb3",{"reviewCount":8},{"description":667,"installMethods":668,"name":669,"sourceUrl":643},"Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator",{"claudeCode":641},"agent-hierarchical-coordinator",{"basePath":671,"githubOwner":646,"githubRepo":647,"locale":18,"slug":669,"type":248},".agents/skills/agent-hierarchical-coordinator",{"evaluate":673,"extract":680},{"promptVersionExtension":204,"promptVersionScoring":205,"score":674,"tags":675,"targetMarket":218,"tier":219},99,[213,676,215,677,678,679],"agent","automation","orchestration","mcp",{"commitSha":281},{"repoId":657},[676,677,213,679,678,215],{"evaluatedAt":684,"extractAt":661,"updatedAt":684},1778697738580,{"_creationTime":686,"_id":687,"community":688,"display":689,"identity":693,"providers":695,"relations":703,"tags":704,"workflow":705},1778696691708.3022,"k178f9kby1bngrepw8bsaxb06s86n9z2",{"reviewCount":8},{"description":690,"installMethods":691,"name":692,"sourceUrl":643},"Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory\n",{"claudeCode":641},"hive-mind-advanced",{"basePath":694,"githubOwner":646,"githubRepo":647,"locale":18,"slug":692,"type":248},".claude/skills/hive-mind-advanced",{"evaluate":696,"extract":702},{"promptVersionExtension":204,"promptVersionScoring":205,"score":697,"tags":698,"targetMarket":218,"tier":219},98,[211,213,699,700,556,701],"ai-orchestration","collective-intelligence","consensus-mechanisms",{"commitSha":281},{"repoId":657},[699,700,701,213,556,211],{"evaluatedAt":706,"extractAt":661,"updatedAt":706},1778699115084,{"_creationTime":708,"_id":709,"community":710,"display":711,"identity":717,"providers":721,"relations":728,"tags":731,"workflow":732},1778695548458.345,"k17des1fnbhhbqmkd44p52v40986nrqa",{"reviewCount":8},{"description":712,"installMethods":713,"name":715,"sourceUrl":716},"Apply collective intelligence coordination patterns — stigmergy, local rules, and quorum sensing — to organize distributed systems, teams, or workflows without centralized control. Covers signal design, agent autonomy boundaries, emergent behavior cultivation, and feedback loop tuning. Use when designing distributed systems without a coordination bottleneck, organizing teams that must self-coordinate, building event-driven architectures with shared state communication, or replacing fragile centralized orchestration with resilient emergent coordination.\n",{"claudeCode":714},"pjt222/agent-almanac","coordinate-swarm","https://github.com/pjt222/agent-almanac",{"basePath":718,"githubOwner":719,"githubRepo":720,"locale":18,"slug":715,"type":248},"skills/coordinate-swarm","pjt222","agent-almanac",{"evaluate":722,"extract":727},{"promptVersionExtension":204,"promptVersionScoring":205,"score":697,"tags":723,"targetMarket":218,"tier":219},[215,213,724,725,653,726],"stigmergy","emergent-behavior","agent-collaboration",{"commitSha":281},{"parentExtensionId":729,"repoId":730},"k170h0janaa9kwn7cfgfz2ykss86mmh9","kd7aryv63z61j39n2td1aeqkvh86mh12",[726,213,653,725,724,215],{"evaluatedAt":733,"extractAt":734,"updatedAt":733},1778697019084,1778695548458,{"_creationTime":736,"_id":737,"community":738,"display":739,"identity":743,"providers":745,"relations":750,"tags":752,"workflow":753},1778696691708.3333,"k17a75nhtd5yzhwmg8npab1gy586mm8m",{"reviewCount":8},{"description":740,"installMethods":741,"name":742,"sourceUrl":643},"Initialize a multi-agent swarm with anti-drift configuration",{"claudeCode":641},"swarm-init",{"basePath":744,"githubOwner":646,"githubRepo":647,"locale":18,"slug":742,"type":248},"plugins/ruflo-swarm/skills/swarm-init",{"evaluate":746,"extract":749},{"promptVersionExtension":204,"promptVersionScoring":205,"score":697,"tags":747,"targetMarket":218,"tier":219},[652,211,215,748,677],"configuration",{"commitSha":281},{"parentExtensionId":751,"repoId":657},"k1745f2f8qnwa2b02r0cav1sgn86mm7h",[652,677,748,211,215],{"evaluatedAt":754,"extractAt":661,"updatedAt":754},1778701607123,{"_creationTime":756,"_id":757,"community":758,"display":759,"identity":763,"providers":765,"relations":773,"tags":774,"workflow":775},1778696691708.3062,"k178rt0mhkwtjj1axhgtt0tfth86mt09",{"reviewCount":8},{"description":760,"installMethods":761,"name":762,"sourceUrl":643},"Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.",{"claudeCode":641},"v3-ddd-architecture",{"basePath":764,"githubOwner":646,"githubRepo":647,"locale":18,"slug":762,"type":248},".claude/skills/v3-ddd-architecture",{"evaluate":766,"extract":772},{"promptVersionExtension":204,"promptVersionScoring":205,"score":650,"tags":767,"targetMarket":218,"tier":219},[768,212,769,770,771],"ddd","refactoring","clean-architecture","typescript",{"commitSha":281},{"repoId":657},[212,770,768,769,771],{"evaluatedAt":776,"extractAt":661,"updatedAt":776},1778699412094]