[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-muratcankoylan-context-degradation-en":3,"guides-for-muratcankoylan-context-degradation":638,"similar-k170fx9g2x60xfd5ydn4vb1nq186nrkv-en":639},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":249,"isFallback":232,"parentExtension":255,"providers":315,"relations":319,"repo":320,"tags":636,"workflow":637},1778694269038.6685,"k170fx9g2x60xfd5ydn4vb1nq186nrkv",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"muratcankoylan/Agent-Skills-for-Context-Engineering","Context Degradation","https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":230,"workflow":247},1778694423978.3818,"kn7c08qd0qdbkh2ezd1v16s3ed86mfe1","en",{"checks":20,"evaluatedAt":193,"extensionSummary":194,"features":195,"nonGoals":201,"practices":205,"prerequisites":210,"promptVersionExtension":211,"promptVersionScoring":212,"purpose":213,"rationale":214,"score":215,"summary":216,"tags":217,"targetMarket":223,"tier":224,"useCases":225},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,100,104,108,111,115,118,122,125,128,131,134,137,140,144,148,151,154,158,161,164,167,170,174,177,180,183,186,190],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly names concrete problems like 'diagnose context problems', 'fix lost-in-middle issues', and 'understand context poisoning', aligning with the skill's purpose.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill provides specific patterns and strategies for recognizing and mitigating context failures, going beyond generic LLM capabilities by addressing nuanced context engineering challenges.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides detailed explanations, diagnostic patterns, and mitigation strategies that cover the complete lifecycle of addressing context degradation issues, making it suitable for production workflows.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses exclusively on context degradation issues, including specific patterns like lost-in-middle, poisoning, distraction, confusion, and clash, without venturing into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately and concisely reflects the skill's purpose and capabilities as outlined in the SKILL.md file.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This skill does not expose explicit tools or commands; it operates by providing information and guidance to the LLM.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","This skill does not have configurable parameters or options.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This skill does not expose specific tools with names.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This skill does not expose tools with input/output schemas.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The extension is licensed under the MIT license, 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 extension does not appear to use any third-party dependencies.",{"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 primarily provides structured text and does not load or execute external data as instructions. It focuses on analytical patterns.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill does not fetch external content at runtime or execute remote code, keeping all logic within the provided bundle.",{"category":66,"check":76,"severity":42,"summary":77},"Sandbox Isolation","As a skill that provides information and guidance, it does not perform file operations or interact with the system outside of its intended scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","No detached-process spawns or deny-retry loops were found in the skill's logic.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill does not read or submit confidential data. It operates on context analysis principles, not sensitive user data.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content and descriptions are free of hidden-steering tricks, utilizing clean printable ASCII and expected Unicode.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's logic is presented as plain, readable Python code and does not involve obfuscation, base64 payloads, or runtime fetches.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill does not make assumptions about user-specific project organization; it analyzes context provided to it.",{"category":96,"check":97,"severity":98,"summary":99},"Trust","Issues Attention","warning","There are 6 open issues and 2 closed issues in the last 90 days, indicating a low closure rate (\u003C10%) and potentially slow maintainer response.",{"category":101,"check":102,"severity":24,"summary":103},"Versioning","Release Management","The SKILL.md frontmatter declares a meaningful semver version (2.0.0).",{"category":105,"check":106,"severity":42,"summary":107},"Execution","Validation","The skill provides analysis and guidance rather than executing commands or processing structured output that requires validation.",{"category":66,"check":109,"severity":42,"summary":110},"Unguarded Destructive Operations","The skill is analytical and does not perform any destructive operations.",{"category":112,"check":113,"severity":24,"summary":114},"Code Execution","Error Handling","The provided Python scripts demonstrate well-structured error handling with clear messages and return codes, and the skill itself relies on LLM reasoning which is inherently managed.",{"category":112,"check":116,"severity":42,"summary":117},"Logging","As an analytical skill providing insights rather than performing actions, it does not require or implement local audit logging.",{"category":119,"check":120,"severity":42,"summary":121},"Compliance","GDPR","The skill analyzes context structure and patterns; it does not operate on personal data.",{"category":119,"check":123,"severity":24,"summary":124},"Target market","The skill's principles are universally applicable to LLM context management and have no regional or jurisdictional limitations, making its target market global.",{"category":92,"check":126,"severity":24,"summary":127},"Runtime stability","The skill's logic is primarily Python-based and uses standard library features, with no assumptions of specific IDEs, shells, or OS-specific runtimes.",{"category":45,"check":129,"severity":24,"summary":130},"README","The README file exists, is comprehensive, and clearly states the repository's purpose and the skills' functions.",{"category":33,"check":132,"severity":42,"summary":133},"Tool surface size","This is a skill-based extension, not a tool with multiple exposed commands.",{"category":40,"check":135,"severity":42,"summary":136},"Overlapping near-synonym tools","This skill does not expose distinct tools with overlapping functionality.",{"category":45,"check":138,"severity":24,"summary":139},"Phantom features","All advertised features, such as detailed patterns for context degradation, are implemented and explained in the SKILL.md and README.",{"category":141,"check":142,"severity":24,"summary":143},"Install","Installation instruction","The README provides clear, copy-pasteable installation instructions for both Claude Code and other platforms, including individual skill installation.",{"category":145,"check":146,"severity":42,"summary":147},"Errors","Actionable error messages","The skill itself does not directly emit user-facing errors; it provides analysis and guidance to the LLM.",{"category":105,"check":149,"severity":42,"summary":150},"Pinned dependencies","The extension does not rely on third-party dependencies that require pinning.",{"category":33,"check":152,"severity":42,"summary":153},"Dry-run preview","The skill is analytical and does not perform state-changing operations requiring a dry-run mode.",{"category":155,"check":156,"severity":42,"summary":157},"Protocol","Idempotent retry & timeouts","This skill does not involve remote calls or state-changing operations that require idempotency or timeouts.",{"category":119,"check":159,"severity":42,"summary":160},"Telemetry opt-in","The skill does not emit telemetry.",{"category":40,"check":162,"severity":24,"summary":163},"Precise Purpose","The SKILL.md and description precisely define what the skill does (diagnose/fix context problems) and when to use it, including explicit negative constraints and core concepts.",{"category":40,"check":165,"severity":24,"summary":166},"Concise Frontmatter","The frontmatter in SKILL.md is concise, self-contained, and effectively summarizes the core capability, followed by trigger phrases.",{"category":45,"check":168,"severity":24,"summary":169},"Concise Body","The SKILL.md body stays within a reasonable length and delegates deeper material to separate reference files, following progressive disclosure principles.",{"category":171,"check":172,"severity":24,"summary":173},"Context","Progressive Disclosure","The SKILL.md outlines the flow and correctly links to a separate `references/patterns.md` file for detailed technical information.",{"category":171,"check":175,"severity":42,"summary":176},"Forked exploration","This skill is analytical and does not involve deep exploration requiring a forked context.",{"category":22,"check":178,"severity":24,"summary":179},"Usage examples","The SKILL.md includes concrete, ready-to-use examples demonstrating detection and mitigation strategies, with claimed outputs.",{"category":22,"check":181,"severity":24,"summary":182},"Edge cases","The skill documents limitations, failure modes (e.g., model variance, stale thresholds), and recovery steps, handling edge cases effectively.",{"category":112,"check":184,"severity":42,"summary":185},"Tool Fallback","This skill does not rely on external tools or MCP servers, thus no fallback is necessary.",{"category":187,"check":188,"severity":24,"summary":189},"Safety","Halt on unexpected state","The skill's analysis inherently halts or reports findings on unexpected states, and the provided Python scripts demonstrate clear error reporting and non-zero exits.",{"category":92,"check":191,"severity":24,"summary":192},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills, providing clear cross-references when related concepts are mentioned.",1778694423865,"This skill analyzes and provides guidance on diagnosing and mitigating various context degradation patterns in LLM agents, including lost-in-middle, poisoning, and distraction. It offers detailed explanations, detection methods, and recovery strategies.",[196,197,198,199,200],"Diagnose context degradation patterns (lost-in-middle, poisoning, distraction, confusion, clash)","Provides detection signals and mitigation strategies","Explains attention mechanics and context placement impact","Offers practical guidance via a four-bucket framework and architectural patterns","Includes concrete examples and research-backed insights",[202,203,204],"Replacing core LLM functionalities","Providing specific tool implementations","Addressing prompt engineering issues unrelated to context limits",[206,207,208,209],"Context Engineering","LLM Agent Design","Debugging","Performance Optimization",[],"3.0.0","4.4.0","To help developers and users understand, diagnose, and fix context-related performance issues in LLM agents, ensuring more reliable and predictable agent behavior.","No critical or warning findings for core utility, documentation, or security. Minor warning on issue attention (closure rate) is well-banded by numerous passes.",95,"High-quality skill providing in-depth analysis and practical strategies for context degradation in LLM agents.",[218,219,220,221,222],"llm","context","agent","debugging","performance","global","community",[226,227,228,229],"Debugging agent failures due to context issues","Optimizing agent performance in long conversations","Designing resilient LLM systems for production","Understanding and mitigating 'lost in the middle' phenomena",{"codeQuality":231,"collectedAt":233,"documentation":234,"maintenance":237,"security":243,"testCoverage":245},{"hasLockfile":232},false,1778694410498,{"descriptionLength":235,"readmeSize":236},349,13763,{"closedIssues90d":238,"forks":239,"hasChangelog":232,"openIssues90d":240,"pushedAt":241,"stars":242},2,1237,6,1776141908000,15630,{"hasNpmPackage":232,"license":244,"smitheryVerified":232},"MIT",{"hasCi":232,"hasTests":246},true,{"updatedAt":248},1778694423978,{"basePath":250,"githubOwner":251,"githubRepo":252,"locale":18,"slug":253,"type":254},"skills/context-degradation","muratcankoylan","Agent-Skills-for-Context-Engineering","context-degradation","skill",{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":263,"parentExtension":266,"providers":298,"relations":311,"tags":312,"workflow":313},1778694269038.6665,"k1754dy3wbsv2a5gr1a983zzs586njca",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"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":252},"Agent Skills for Context Engineering",{"basePath":264,"githubOwner":251,"githubRepo":252,"locale":18,"slug":252,"type":265},"","plugin",{"_creationTime":267,"_id":268,"community":269,"display":270,"identity":273,"providers":275,"relations":292,"tags":294,"workflow":295},1778694269038.6663,"k1796gc85sm2bx753svn59gp5186mpz4",{"reviewCount":8},{"description":271,"installMethods":272,"name":262,"sourceUrl":14},"Context Engineering skills for building production-grade AI agent systems",{"claudeCode":12},{"basePath":264,"githubOwner":251,"githubRepo":252,"locale":18,"slug":252,"type":274},"marketplace",{"evaluate":276,"extract":285},{"promptVersionExtension":277,"promptVersionScoring":212,"score":278,"tags":279,"targetMarket":223,"tier":224},"3.1.0",75,[280,281,282,218,283,284],"ai","agent-skills","context-engineering","development","architecture",{"commitSha":286,"license":244,"marketplace":287,"plugin":290},"HEAD",{"name":288,"pluginCount":289},"context-engineering-marketplace",1,{"mcpCount":8,"provider":291,"skillCount":8},"classify",{"repoId":293},"kd7f12maf5nxmx5xttjx7scfnx86m1tv",[281,280,284,282,283,218],{"evaluatedAt":296,"extractAt":297,"updatedAt":296},1778694283498,1778694269038,{"evaluate":299,"extract":308},{"promptVersionExtension":211,"promptVersionScoring":212,"score":215,"tags":300,"targetMarket":223,"tier":307},[282,301,302,303,304,305,306],"ai-agents","prompt-engineering","multi-agent-systems","llm-operations","agent-architecture","cognitive-architecture","verified",{"commitSha":286,"license":244,"plugin":309},{"mcpCount":8,"provider":291,"skillCount":310},14,{"parentExtensionId":268,"repoId":293},[305,301,306,282,304,303,302],{"evaluatedAt":314,"extractAt":297,"updatedAt":314},1778694291902,{"evaluate":316,"extract":318},{"promptVersionExtension":211,"promptVersionScoring":212,"score":215,"tags":317,"targetMarket":223,"tier":224},[218,219,220,221,222],{"commitSha":286,"license":244},{"parentExtensionId":257,"repoId":293},{"_creationTime":321,"_id":293,"identity":322,"providers":323,"workflow":632},1778694264629.3296,{"githubOwner":251,"githubRepo":252,"sourceUrl":14},{"classify":324,"discover":626,"github":629},{"commitSha":286,"extensions":325},[326,339,347,374,397,418,432,450,466,478,487,499,511,523,534,546,556,568,580,594,608,616],{"basePath":264,"description":271,"displayName":288,"installMethods":327,"rationale":328,"selectedPaths":329,"source":338,"sourceLanguage":18,"type":274},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[330,333,335],{"path":331,"priority":332},".claude-plugin/marketplace.json","mandatory",{"path":334,"priority":332},"README.md",{"path":336,"priority":337},"LICENSE","high","rule",{"basePath":264,"description":260,"displayName":282,"installMethods":340,"rationale":341,"selectedPaths":342,"source":338,"sourceLanguage":18,"type":265},{"claudeCode":252},"inline plugin source from marketplace.json at / (coalesced with duplicate plugin at .plugin)",[343,344,345],{"path":334,"priority":332},{"path":336,"priority":337},{"path":346,"priority":337},"SKILL.md",{"basePath":348,"description":349,"displayName":350,"installMethods":351,"rationale":352,"selectedPaths":353,"source":338,"sourceLanguage":18,"type":254},"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",[354,355,356,359,361,363,365,368,370,372],{"path":346,"priority":332},{"path":334,"priority":337},{"path":357,"priority":358},"examples/gertrude-stein/README.md","low",{"path":360,"priority":358},"examples/gertrude-stein/dataset_sample.jsonl",{"path":362,"priority":358},"examples/gertrude-stein/sample_outputs.md",{"path":364,"priority":358},"examples/gertrude-stein/training_config.json",{"path":366,"priority":367},"references/segmentation-strategies.md","medium",{"path":369,"priority":367},"references/tinker-format.md",{"path":371,"priority":367},"references/tinker.txt",{"path":373,"priority":358},"scripts/pipeline_example.py",{"basePath":375,"description":376,"displayName":377,"installMethods":378,"rationale":379,"selectedPaths":380,"source":338,"sourceLanguage":18,"type":254},"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",[381,382,383,385,387,389,391,393,395],{"path":346,"priority":332},{"path":334,"priority":337},{"path":384,"priority":367},"AGENT.md",{"path":386,"priority":367},"HOW-SKILLS-BUILT-THIS.md",{"path":388,"priority":367},"SKILLS-MAPPING.md",{"path":390,"priority":358},"examples/content-workflow.md",{"path":392,"priority":358},"examples/meeting-prep.md",{"path":394,"priority":367},"references/file-formats.md",{"path":396,"priority":358},"scripts/install.sh",{"basePath":398,"description":399,"displayName":400,"installMethods":401,"rationale":402,"selectedPaths":403,"source":338,"sourceLanguage":18,"type":254},"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",[404,405,406,408,410,412,414,416],{"path":346,"priority":332},{"path":334,"priority":337},{"path":407,"priority":358},"docs/agentthinking.md",{"path":409,"priority":358},"docs/interleavedthinking.md",{"path":411,"priority":358},"docs/m2-1.md",{"path":413,"priority":358},"examples/01_basic_capture.py",{"path":415,"priority":358},"examples/02_tool_usage.py",{"path":417,"priority":358},"examples/03_full_optimization.py",{"basePath":419,"description":420,"displayName":421,"installMethods":422,"rationale":423,"selectedPaths":424,"source":338,"sourceLanguage":18,"type":254},"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",[425,426,428,430],{"path":346,"priority":332},{"path":427,"priority":367},"references/optimization_summary.json",{"path":429,"priority":367},"references/optimized_prompt.txt",{"path":431,"priority":367},"references/patterns_found.json",{"basePath":433,"description":434,"displayName":435,"installMethods":436,"rationale":437,"selectedPaths":438,"source":338,"sourceLanguage":18,"type":254},"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",[439,440,442,444,446,448],{"path":346,"priority":332},{"path":441,"priority":367},"references/bias-mitigation.md",{"path":443,"priority":367},"references/evaluation-pipeline.md",{"path":445,"priority":367},"references/implementation-patterns.md",{"path":447,"priority":367},"references/metrics-guide.md",{"path":449,"priority":358},"scripts/evaluation_example.py",{"basePath":451,"description":452,"displayName":453,"installMethods":454,"rationale":455,"selectedPaths":456,"source":338,"sourceLanguage":18,"type":254},"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",[457,458,460,462,464],{"path":346,"priority":332},{"path":459,"priority":367},"references/bdi-ontology-core.md",{"path":461,"priority":367},"references/framework-integration.md",{"path":463,"priority":367},"references/rdf-examples.md",{"path":465,"priority":367},"references/sparql-competency.md",{"basePath":467,"description":468,"displayName":469,"installMethods":470,"rationale":471,"selectedPaths":472,"source":338,"sourceLanguage":18,"type":254},"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",[473,474,476],{"path":346,"priority":332},{"path":475,"priority":367},"references/evaluation-framework.md",{"path":477,"priority":358},"scripts/compression_evaluator.py",{"basePath":250,"description":10,"displayName":253,"installMethods":479,"rationale":480,"selectedPaths":481,"source":338,"sourceLanguage":18,"type":254},{"claudeCode":12},"SKILL.md frontmatter at skills/context-degradation/SKILL.md",[482,483,485],{"path":346,"priority":332},{"path":484,"priority":367},"references/patterns.md",{"path":486,"priority":358},"scripts/degradation_detector.py",{"basePath":488,"description":489,"displayName":490,"installMethods":491,"rationale":492,"selectedPaths":493,"source":338,"sourceLanguage":18,"type":254},"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",[494,495,497],{"path":346,"priority":332},{"path":496,"priority":367},"references/context-components.md",{"path":498,"priority":358},"scripts/context_manager.py",{"basePath":500,"description":501,"displayName":502,"installMethods":503,"rationale":504,"selectedPaths":505,"source":338,"sourceLanguage":18,"type":254},"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",[506,507,509],{"path":346,"priority":332},{"path":508,"priority":367},"references/optimization_techniques.md",{"path":510,"priority":358},"scripts/compaction.py",{"basePath":512,"description":513,"displayName":514,"installMethods":515,"rationale":516,"selectedPaths":517,"source":338,"sourceLanguage":18,"type":254},"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",[518,519,521],{"path":346,"priority":332},{"path":520,"priority":367},"references/metrics.md",{"path":522,"priority":358},"scripts/evaluator.py",{"basePath":524,"description":525,"displayName":526,"installMethods":527,"rationale":528,"selectedPaths":529,"source":338,"sourceLanguage":18,"type":254},"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",[530,531,532],{"path":346,"priority":332},{"path":445,"priority":367},{"path":533,"priority":358},"scripts/filesystem_context.py",{"basePath":535,"description":536,"displayName":537,"installMethods":538,"rationale":539,"selectedPaths":540,"source":338,"sourceLanguage":18,"type":254},"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",[541,542,544],{"path":346,"priority":332},{"path":543,"priority":367},"references/infrastructure-patterns.md",{"path":545,"priority":358},"scripts/sandbox_manager.py",{"basePath":547,"description":548,"displayName":549,"installMethods":550,"rationale":551,"selectedPaths":552,"source":338,"sourceLanguage":18,"type":254},"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",[553,554],{"path":346,"priority":332},{"path":555,"priority":367},"references/attention-matching-formulation.md",{"basePath":557,"description":558,"displayName":559,"installMethods":560,"rationale":561,"selectedPaths":562,"source":338,"sourceLanguage":18,"type":254},"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",[563,564,566],{"path":346,"priority":332},{"path":565,"priority":367},"references/implementation.md",{"path":567,"priority":358},"scripts/memory_store.py",{"basePath":569,"description":570,"displayName":571,"installMethods":572,"rationale":573,"selectedPaths":574,"source":338,"sourceLanguage":18,"type":254},"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",[575,576,578],{"path":346,"priority":332},{"path":577,"priority":367},"references/frameworks.md",{"path":579,"priority":358},"scripts/coordination.py",{"basePath":581,"description":582,"displayName":583,"installMethods":584,"rationale":585,"selectedPaths":586,"source":338,"sourceLanguage":18,"type":254},"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",[587,588,590,592],{"path":346,"priority":332},{"path":589,"priority":367},"references/case-studies.md",{"path":591,"priority":367},"references/pipeline-patterns.md",{"path":593,"priority":358},"scripts/pipeline_template.py",{"basePath":595,"description":596,"displayName":597,"installMethods":598,"rationale":599,"selectedPaths":600,"source":338,"sourceLanguage":18,"type":254},"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",[601,602,604,606],{"path":346,"priority":332},{"path":603,"priority":367},"references/architectural_reduction.md",{"path":605,"priority":367},"references/best_practices.md",{"path":607,"priority":358},"scripts/description_generator.py",{"basePath":609,"description":610,"displayName":611,"installMethods":612,"rationale":613,"selectedPaths":614,"source":338,"sourceLanguage":18,"type":254},"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",[615],{"path":346,"priority":332},{"basePath":398,"installMethods":617,"rationale":618,"selectedPaths":619,"source":338,"sourceLanguage":18,"type":625},{"pypi":400},"cli ecosystem detected at examples/interleaved-thinking",[620,622,623],{"path":621,"priority":332},"pyproject.toml",{"path":334,"priority":332},{"path":624,"priority":367},"reasoning_trace_optimizer/cli.py","cli",{"sources":627},[628],"manual",{"closedIssues90d":238,"description":630,"forks":239,"license":244,"openIssues90d":240,"pushedAt":241,"readmeSize":236,"stars":242,"topics":631},"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":633,"discoverAt":634,"extractAt":635,"githubAt":635,"updatedAt":633},1778694268713,1778694264629,1778694266904,[220,219,221,218,222],{"evaluatedAt":248,"extractAt":297,"updatedAt":248},[],[640,659,690,718,739,761],{"_creationTime":641,"_id":642,"community":643,"display":644,"identity":647,"providers":648,"relations":655,"tags":656,"workflow":657},1778694269038.6682,"k1752cypc448mke749yjbkc65186mg6f",{"reviewCount":8},{"description":468,"installMethods":645,"name":646,"sourceUrl":14},{"claudeCode":12},"Context Compression",{"basePath":467,"githubOwner":251,"githubRepo":252,"locale":18,"slug":469,"type":254},{"evaluate":649,"extract":654},{"promptVersionExtension":211,"promptVersionScoring":212,"score":650,"tags":651,"targetMarket":223,"tier":307},100,[282,218,220,652,653,514],"summarization","compression",{"commitSha":286,"license":244},{"parentExtensionId":257,"repoId":293},[220,653,282,514,218,652],{"evaluatedAt":658,"extractAt":297,"updatedAt":658},1778694410149,{"_creationTime":660,"_id":661,"community":662,"display":663,"identity":669,"providers":674,"relations":684,"tags":686,"workflow":687},1778696691708.2964,"k17a0styn9h0f76ve1825nzwa186n57p",{"reviewCount":8},{"description":664,"installMethods":665,"name":667,"sourceUrl":668},"Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer",{"claudeCode":666},"ruvnet/ruflo","V3 Performance Engineer","https://github.com/ruvnet/ruflo",{"basePath":670,"githubOwner":671,"githubRepo":672,"locale":18,"slug":673,"type":254},".agents/skills/agent-v3-performance-engineer","ruvnet","ruflo","agent-v3-performance-engineer",{"evaluate":675,"extract":683},{"promptVersionExtension":211,"promptVersionScoring":212,"score":676,"tags":677,"targetMarket":223,"tier":307},99,[222,678,679,680,220,681,682],"benchmarking","optimization","claude-flow","typescript","shell",{"commitSha":286,"license":244},{"repoId":685},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[220,678,680,679,222,682,681],{"evaluatedAt":688,"extractAt":689,"updatedAt":688},1778698667749,1778696691708,{"_creationTime":691,"_id":692,"community":693,"display":694,"identity":700,"providers":704,"relations":711,"tags":714,"workflow":715},1778699234184.6143,"k17cnx0m6a27fw52yvt4zsbsxh86nd1c",{"reviewCount":8},{"description":695,"installMethods":696,"name":698,"sourceUrl":699},"Configure popular MCP servers for enhanced agent capabilities",{"claudeCode":697},"Yeachan-Heo/oh-my-claudecode","mcp-setup","https://github.com/Yeachan-Heo/oh-my-claudecode",{"basePath":701,"githubOwner":702,"githubRepo":703,"locale":18,"slug":698,"type":254},"skills/mcp-setup","Yeachan-Heo","oh-my-claudecode",{"evaluate":705,"extract":710},{"promptVersionExtension":211,"promptVersionScoring":212,"score":650,"tags":706,"targetMarket":223,"tier":307},[707,708,625,220,709],"mcp","configuration","tooling",{"commitSha":286},{"parentExtensionId":712,"repoId":713},"k17brg5egdw1jbncj1j4wfv3fh86n639","kd74zv63fryf9prygtq7gf4es986n22y",[220,625,708,707,709],{"evaluatedAt":716,"extractAt":717,"updatedAt":716},1778699492025,1778699234184,{"_creationTime":719,"_id":720,"community":721,"display":722,"identity":726,"providers":728,"relations":735,"tags":736,"workflow":737},1778699234184.6133,"k170q6m14w6ah5ygc0jr5sa54986mpx7",{"reviewCount":8},{"description":723,"installMethods":724,"name":725,"sourceUrl":699},"Deep codebase initialization with hierarchical AGENTS.md documentation",{"claudeCode":697},"deepinit",{"basePath":727,"githubOwner":702,"githubRepo":703,"locale":18,"slug":725,"type":254},"skills/deepinit",{"evaluate":729,"extract":734},{"promptVersionExtension":211,"promptVersionScoring":212,"score":650,"tags":730,"targetMarket":223,"tier":307},[731,732,220,681,733],"documentation","codebase","javascript",{"commitSha":286},{"parentExtensionId":712,"repoId":713},[220,732,731,733,681],{"evaluatedAt":738,"extractAt":717,"updatedAt":738},1778699437749,{"_creationTime":740,"_id":741,"community":742,"display":743,"identity":747,"providers":749,"relations":757,"tags":758,"workflow":759},1778696691708.297,"k174kx68t1r1znb9ws0ndvkpt586nx68",{"reviewCount":8},{"description":744,"installMethods":745,"name":746,"sourceUrl":668},"Agent skill for worker-specialist - invoke with $agent-worker-specialist",{"claudeCode":666},"agent-worker-specialist",{"basePath":748,"githubOwner":671,"githubRepo":672,"locale":18,"slug":746,"type":254},".agents/skills/agent-worker-specialist",{"evaluate":750,"extract":756},{"promptVersionExtension":211,"promptVersionScoring":212,"score":650,"tags":751,"targetMarket":223,"tier":307},[220,752,753,754,755],"orchestration","task-execution","coordination","progress-reporting",{"commitSha":286},{"repoId":685},[220,754,752,755,753],{"evaluatedAt":760,"extractAt":689,"updatedAt":760},1778698724168,{"_creationTime":762,"_id":763,"community":764,"display":765,"identity":771,"providers":775,"relations":783,"tags":786,"workflow":787},1778696595410.5657,"k17bk9m02r7jkbzzqapbzfvq8h86m6qn",{"reviewCount":8},{"description":766,"installMethods":767,"name":769,"sourceUrl":770},"Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.",{"claudeCode":768},"rohitg00/pro-workflow","orchestrate","https://github.com/rohitg00/pro-workflow",{"basePath":772,"githubOwner":773,"githubRepo":774,"locale":18,"slug":769,"type":254},"skills/orchestrate","rohitg00","pro-workflow",{"evaluate":776,"extract":782},{"promptVersionExtension":211,"promptVersionScoring":212,"score":650,"tags":777,"targetMarket":223,"tier":307},[778,220,779,780,781],"llm-ops","workflow","memory","knowledge-management",{"commitSha":286},{"parentExtensionId":784,"repoId":785},"k17fxtjcfh5gvxdrhv2dmgn1t986mdhv","kd7am4e918eq98hrd9s31jm4vs86nn0b",[220,781,778,780,779],{"evaluatedAt":788,"extractAt":789,"updatedAt":788},1778696881233,1778696595410]