[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-muratcankoylan-filesystem-context-de":3,"guides-for-muratcankoylan-filesystem-context":652,"similar-k171hyhaa8y2b6q8g0p8cstkm986n7x4-de":653},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":261,"isFallback":258,"parentExtension":267,"providers":329,"relations":333,"repo":334,"tags":650,"workflow":651},1778694269038.6694,"k171hyhaa8y2b6q8g0p8cstkm986n7x4",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"muratcankoylan/Agent-Skills-for-Context-Engineering","Filesystem Context","https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":242,"workflow":259},1778694502300.164,"kn7fzkzywb90bmcx657yj6bjv586msb6","en",{"checks":20,"evaluatedAt":195,"extensionSummary":196,"features":197,"nonGoals":203,"practices":208,"prerequisites":213,"promptVersionExtension":216,"promptVersionScoring":217,"purpose":218,"rationale":219,"score":220,"summary":221,"tags":222,"targetMarket":228,"tier":229,"useCases":230,"workflow":235},[21,26,29,33,37,41,45,48,52,56,60,63,66,69,72,76,79,82,85,88,91,95,99,102,106,109,112,115,118,121,124,128,131,135,139,143,146,149,152,156,159,162,165,168,171,174,178,182,185,188,192],{"category":22,"check":23,"severity":24,"summary":25},"Invocation","Precise Purpose","pass","The description clearly states the skill's purpose for offloading context to files and names specific use cases like 'agent scratch pads' and 'just-in-time context loading'.",{"category":22,"check":27,"severity":24,"summary":28},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and triggers within the character limit.",{"category":30,"check":31,"severity":24,"summary":32},"Documentation","Concise Body","The SKILL.md body is well under 500 lines and delegates deeper material to separate files as needed.",{"category":34,"check":35,"severity":24,"summary":36},"Context","Progressive Disclosure","The SKILL.md outlines the flow and links to `references/implementation-patterns.md` for detailed implementation patterns.",{"category":34,"check":38,"severity":39,"summary":40},"Forked exploration","not_applicable","The skill is not designed for deep exploration or code review that would necessitate 'context: fork'.",{"category":42,"check":43,"severity":24,"summary":44},"Practical Utility","Usage examples","Sufficient examples are included in the SKILL.md and README, demonstrating tool output offloading, dynamic skill loading, and chat history as file reference.",{"category":42,"check":46,"severity":24,"summary":47},"Edge cases","The 'Gotchas' section in SKILL.md documents several edge cases and their potential recovery steps, such as unbounded growth and race conditions.",{"category":49,"check":50,"severity":39,"summary":51},"Code Execution","Tool Fallback","The skill uses internal Python scripts and does not rely on external MCP servers or other tools that would require a fallback.",{"category":53,"check":54,"severity":24,"summary":55},"Portability","Stack assumptions","The provided Python scripts declare their intent and side effects, and the skill itself relies on standard filesystem operations, making it broadly portable.",{"category":57,"check":58,"severity":24,"summary":59},"Safety","Halt on unexpected state","While not explicitly listed as machine-readable preconditions, the 'Gotchas' section implies halting on unexpected states and the provided Python scripts would fail gracefully or report errors.",{"category":53,"check":61,"severity":24,"summary":62},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills; it only references related skills explicitly in the SKILL.md.",{"category":42,"check":64,"severity":24,"summary":65},"Problem relevance","The description explicitly names problems like 'offload context to files', 'agent scratch pads', and 'reduce context window bloat'.",{"category":42,"check":67,"severity":24,"summary":68},"Unique selling proposition","The skill offers significant value by implementing patterns for dynamic context discovery and persistent agent memory via the filesystem, extending beyond basic LLM capabilities.",{"category":42,"check":70,"severity":24,"summary":71},"Production readiness","The skill provides robust Python implementations for core patterns like scratch pads, plan persistence, and workspace management, suitable for production workflows.",{"category":73,"check":74,"severity":24,"summary":75},"Scope","Single responsibility principle","The skill focuses solely on filesystem-based context engineering and does not extend into unrelated domains.",{"category":73,"check":77,"severity":24,"summary":78},"Description quality","The description is accurate, concise, and clearly reflects the skill's purpose and use cases as demonstrated in the source code and documentation.",{"category":22,"check":80,"severity":39,"summary":81},"Scoped tools","The skill does not expose specific tools directly; its functionality is demonstrated via Python scripts and conceptual patterns.",{"category":30,"check":83,"severity":24,"summary":84},"Configuration & parameter reference","The Python scripts include docstrings that explain parameters and usage, and the SKILL.md details patterns and file organization.",{"category":73,"check":86,"severity":39,"summary":87},"Tool naming","No user-facing tools are exposed by this skill; functionality is described conceptually and through script examples.",{"category":73,"check":89,"severity":24,"summary":90},"Minimal I/O surface","The Python script examples demonstrate focused I/O operations relevant to their specific patterns, such as writing to files or managing directories.",{"category":92,"check":93,"severity":24,"summary":94},"License","License usability","The extension is licensed under the MIT license, which is permissive and widely usable.",{"category":96,"check":97,"severity":24,"summary":98},"Maintenance","Commit recency","The last commit was on 2026-04-14, which is within the last 90 days.",{"category":96,"check":100,"severity":24,"summary":101},"Dependency Management","The provided Python scripts use standard libraries and do not introduce external dependencies that would require complex management.",{"category":103,"check":104,"severity":24,"summary":105},"Security","Secret Management","No secrets are handled or stored by this skill; it operates solely on filesystem interactions.",{"category":103,"check":107,"severity":24,"summary":108},"Injection","The skill's core logic operates on file paths and content directly, and the Python examples do not execute arbitrary user-provided code or load untrusted external scripts.",{"category":103,"check":110,"severity":24,"summary":111},"Transitive Supply-Chain Grenades","The skill does not fetch external content at runtime. All file operations are within the local filesystem relative to the project or explicitly defined directories.",{"category":103,"check":113,"severity":24,"summary":114},"Sandbox Isolation","The Python scripts operate on local files and directories (scratch, workspace, agent) using relative paths, ensuring operations stay within the project's scope.",{"category":103,"check":116,"severity":24,"summary":117},"Sandbox escape primitives","The provided Python code does not contain patterns like `nohup`, detached processes, or retry loops around denied calls that would facilitate sandbox escapes.",{"category":103,"check":119,"severity":24,"summary":120},"Data Exfiltration","The skill's operations are confined to local file I/O and do not involve sending data to any third parties.",{"category":103,"check":122,"severity":24,"summary":123},"Hidden Text Tricks","The bundled files (SKILL.md, README.md, Python scripts, LICENSE) are free of hidden-steering characters or obfuscation techniques.",{"category":125,"check":126,"severity":24,"summary":127},"Hooks","Opaque code execution","The Python scripts are standard, readable code and do not use obfuscation techniques like base64 encoding or runtime `eval`.",{"category":53,"check":129,"severity":24,"summary":130},"Structural Assumption","The scripts use relative paths like 'scratch/' and 'workspace/', making them portable across different project structures and locations.",{"category":132,"check":133,"severity":24,"summary":134},"Trust","Issues Attention","There are 0 open and 2 closed issues in the last 90 days, indicating active maintenance.",{"category":136,"check":137,"severity":24,"summary":138},"Versioning","Release Management","The SKILL.md frontmatter declares a version (1.1.0) and the last updated date, providing a clear versioning signal.",{"category":140,"check":141,"severity":24,"summary":142},"Execution","Validation","The Python scripts demonstrate basic validation for file paths and preference storage, and the plan persistence uses structured data.",{"category":103,"check":144,"severity":24,"summary":145},"Unguarded Destructive Operations","The skill's operations (writing to scratch, plans, workspace) are within a defined project scope and do not involve inherently destructive actions like file deletion without user intervention or obvious risk.",{"category":49,"check":147,"severity":24,"summary":148},"Error Handling","The Python scripts include basic error handling (e.g., file not found, invalid input) and use standard library exceptions, facilitating agent-level error management.",{"category":49,"check":150,"severity":24,"summary":151},"Logging","The `AgentWorkspace` class includes a logging mechanism for activity, and the `ScratchPadManager` has a cleanup method, providing basic auditability.",{"category":153,"check":154,"severity":24,"summary":155},"Compliance","GDPR","The skill operates on local filesystem data and does not process or submit personal data to third parties.",{"category":153,"check":157,"severity":24,"summary":158},"Target market","The skill's functionality is based on standard filesystem operations and Python scripting, making it globally applicable without regional restrictions.",{"category":53,"check":160,"severity":24,"summary":161},"Runtime stability","The Python scripts use standard libraries and are designed to be portable across POSIX-compliant systems and common Python environments.",{"category":30,"check":163,"severity":24,"summary":164},"README","The README provides a comprehensive overview of the Agent Skills collection, including a detailed description of the filesystem-context skill and its usage.",{"category":73,"check":166,"severity":39,"summary":167},"Tool surface size","This skill does not expose a fixed set of tools; its functionality is demonstrated through Python scripts and conceptual patterns.",{"category":22,"check":169,"severity":39,"summary":170},"Overlapping near-synonym tools","The skill does not expose multiple tools with overlapping functionality; its patterns are distinct (scratch pad, plan persistence).",{"category":30,"check":172,"severity":24,"summary":173},"Phantom features","All advertised features related to filesystem context management are implemented in the provided Python scripts and described in the documentation.",{"category":175,"check":176,"severity":24,"summary":177},"Install","Installation instruction","The README provides clear instructions for adding the marketplace and installing the plugin, with options for direct install or browsing.",{"category":179,"check":180,"severity":24,"summary":181},"Errors","Actionable error messages","The Python scripts include specific error messages for invalid inputs or operations, and the documentation outlines potential 'Gotchas' with recovery context.",{"category":140,"check":183,"severity":24,"summary":184},"Pinned dependencies","The Python scripts rely on standard Python libraries, and no external dependencies are listed or used that would require pinning.",{"category":73,"check":186,"severity":39,"summary":187},"Dry-run preview","The skill's operations primarily involve writing to local files; a 'dry-run' is not applicable as actions are inherently local and reversible.",{"category":189,"check":190,"severity":24,"summary":191},"Protocol","Idempotent retry & timeouts","The skill's local file operations do not involve network calls or state-changing operations that would require strict idempotency or timeouts.",{"category":153,"check":193,"severity":24,"summary":194},"Telemetry opt-in","The skill does not emit any telemetry data.",1778694502190,"This skill provides patterns and Python implementations for managing agent context through the filesystem. It includes mechanisms for offloading large tool outputs to scratch files, persisting agent plans across sessions, managing agent workspaces, and dynamically loading skills. The skill emphasizes token efficiency and structured data handling for agent memory and communication.",[198,199,200,201,202],"Offload large tool outputs to files","Persist agent plans and state","Manage agent workspaces via filesystem","Dynamically load skills from files","Combine filesystem search with semantic search",[204,205,206,207],"Replacing prompt engineering entirely","Handling context that fits comfortably within the window","Adding measurable latency for critical tasks","Managing context for agents without filesystem tool capabilities",[209,210,211,212],"Context Management","Agent Memory","Persistence","Tool Design",[214,215],"Python 3.7+","Basic filesystem access","3.0.0","4.4.0","To enable agents to manage and utilize context effectively by leveraging the filesystem for persistent storage, dynamic loading, and efficient information retrieval, thereby overcoming context window limitations.","The skill is well-documented, production-ready, and adheres to best practices for security and scope. All checks passed, indicating high quality.",98,"Excellent skill for managing agent context using the filesystem.",[223,224,225,226,227],"filesystem","context-management","agent-memory","persistence","python","global","verified",[231,232,233,234],"Reducing context window bloat by offloading large outputs","Implementing agent scratch pads for intermediate results","Enabling sub-agents to share information via file workspaces","Persisting agent plans across long-horizon tasks",[236,237,238,239,240,241],"Determine if tool output exceeds token threshold","Offload large outputs to a designated scratch directory","Return a compact reference (path, summary) to context","Persist agent plans and state to structured files","Use agent workspaces for inter-agent communication","Dynamically load skill definitions from files as needed",{"codeQuality":243,"collectedAt":245,"documentation":246,"maintenance":249,"security":255,"testCoverage":257},{"hasLockfile":244},false,1778694483187,{"descriptionLength":247,"readmeSize":248},301,13763,{"closedIssues90d":250,"forks":251,"hasChangelog":244,"openIssues90d":252,"pushedAt":253,"stars":254},2,1237,6,1776141908000,15630,{"hasNpmPackage":244,"license":256,"smitheryVerified":244},"MIT",{"hasCi":244,"hasTests":258},true,{"updatedAt":260},1778694502300,{"basePath":262,"githubOwner":263,"githubRepo":264,"locale":18,"slug":265,"type":266},"skills/filesystem-context","muratcankoylan","Agent-Skills-for-Context-Engineering","filesystem-context","skill",{"_creationTime":268,"_id":269,"community":270,"display":271,"identity":275,"parentExtension":278,"providers":312,"relations":325,"tags":326,"workflow":327},1778694269038.6665,"k1754dy3wbsv2a5gr1a983zzs586njca",{"reviewCount":8},{"description":272,"installMethods":273,"name":274,"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":264},"Agent Skills for Context Engineering",{"basePath":276,"githubOwner":263,"githubRepo":264,"locale":18,"slug":264,"type":277},"","plugin",{"_creationTime":279,"_id":280,"community":281,"display":282,"identity":285,"providers":287,"relations":306,"tags":308,"workflow":309},1778694269038.6663,"k1796gc85sm2bx753svn59gp5186mpz4",{"reviewCount":8},{"description":283,"installMethods":284,"name":274,"sourceUrl":14},"Context Engineering skills for building production-grade AI agent systems",{"claudeCode":12},{"basePath":276,"githubOwner":263,"githubRepo":264,"locale":18,"slug":264,"type":286},"marketplace",{"evaluate":288,"extract":299},{"promptVersionExtension":289,"promptVersionScoring":217,"score":290,"tags":291,"targetMarket":228,"tier":298},"3.1.0",75,[292,293,294,295,296,297],"ai","agent-skills","context-engineering","llm","development","architecture","community",{"commitSha":300,"license":256,"marketplace":301,"plugin":304},"HEAD",{"name":302,"pluginCount":303},"context-engineering-marketplace",1,{"mcpCount":8,"provider":305,"skillCount":8},"classify",{"repoId":307},"kd7f12maf5nxmx5xttjx7scfnx86m1tv",[293,292,297,294,296,295],{"evaluatedAt":310,"extractAt":311,"updatedAt":310},1778694283498,1778694269038,{"evaluate":313,"extract":322},{"promptVersionExtension":216,"promptVersionScoring":217,"score":314,"tags":315,"targetMarket":228,"tier":229},95,[294,316,317,318,319,320,321],"ai-agents","prompt-engineering","multi-agent-systems","llm-operations","agent-architecture","cognitive-architecture",{"commitSha":300,"license":256,"plugin":323},{"mcpCount":8,"provider":305,"skillCount":324},14,{"parentExtensionId":280,"repoId":307},[320,316,321,294,319,318,317],{"evaluatedAt":328,"extractAt":311,"updatedAt":328},1778694291902,{"evaluate":330,"extract":332},{"promptVersionExtension":216,"promptVersionScoring":217,"score":220,"tags":331,"targetMarket":228,"tier":229},[223,224,225,226,227],{"commitSha":300,"license":256},{"parentExtensionId":269,"repoId":307},{"_creationTime":335,"_id":307,"identity":336,"providers":337,"workflow":646},1778694264629.3296,{"githubOwner":263,"githubRepo":264,"sourceUrl":14},{"classify":338,"discover":640,"github":643},{"commitSha":300,"extensions":339},[340,353,361,388,411,432,446,464,480,492,504,516,528,540,548,560,570,582,594,608,622,630],{"basePath":276,"description":283,"displayName":302,"installMethods":341,"rationale":342,"selectedPaths":343,"source":352,"sourceLanguage":18,"type":286},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[344,347,349],{"path":345,"priority":346},".claude-plugin/marketplace.json","mandatory",{"path":348,"priority":346},"README.md",{"path":350,"priority":351},"LICENSE","high","rule",{"basePath":276,"description":272,"displayName":294,"installMethods":354,"rationale":355,"selectedPaths":356,"source":352,"sourceLanguage":18,"type":277},{"claudeCode":264},"inline plugin source from marketplace.json at / (coalesced with duplicate plugin at .plugin)",[357,358,359],{"path":348,"priority":346},{"path":350,"priority":351},{"path":360,"priority":351},"SKILL.md",{"basePath":362,"description":363,"displayName":364,"installMethods":365,"rationale":366,"selectedPaths":367,"source":352,"sourceLanguage":18,"type":266},"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",[368,369,370,373,375,377,379,382,384,386],{"path":360,"priority":346},{"path":348,"priority":351},{"path":371,"priority":372},"examples/gertrude-stein/README.md","low",{"path":374,"priority":372},"examples/gertrude-stein/dataset_sample.jsonl",{"path":376,"priority":372},"examples/gertrude-stein/sample_outputs.md",{"path":378,"priority":372},"examples/gertrude-stein/training_config.json",{"path":380,"priority":381},"references/segmentation-strategies.md","medium",{"path":383,"priority":381},"references/tinker-format.md",{"path":385,"priority":381},"references/tinker.txt",{"path":387,"priority":372},"scripts/pipeline_example.py",{"basePath":389,"description":390,"displayName":391,"installMethods":392,"rationale":393,"selectedPaths":394,"source":352,"sourceLanguage":18,"type":266},"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",[395,396,397,399,401,403,405,407,409],{"path":360,"priority":346},{"path":348,"priority":351},{"path":398,"priority":381},"AGENT.md",{"path":400,"priority":381},"HOW-SKILLS-BUILT-THIS.md",{"path":402,"priority":381},"SKILLS-MAPPING.md",{"path":404,"priority":372},"examples/content-workflow.md",{"path":406,"priority":372},"examples/meeting-prep.md",{"path":408,"priority":381},"references/file-formats.md",{"path":410,"priority":372},"scripts/install.sh",{"basePath":412,"description":413,"displayName":414,"installMethods":415,"rationale":416,"selectedPaths":417,"source":352,"sourceLanguage":18,"type":266},"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",[418,419,420,422,424,426,428,430],{"path":360,"priority":346},{"path":348,"priority":351},{"path":421,"priority":372},"docs/agentthinking.md",{"path":423,"priority":372},"docs/interleavedthinking.md",{"path":425,"priority":372},"docs/m2-1.md",{"path":427,"priority":372},"examples/01_basic_capture.py",{"path":429,"priority":372},"examples/02_tool_usage.py",{"path":431,"priority":372},"examples/03_full_optimization.py",{"basePath":433,"description":434,"displayName":435,"installMethods":436,"rationale":437,"selectedPaths":438,"source":352,"sourceLanguage":18,"type":266},"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",[439,440,442,444],{"path":360,"priority":346},{"path":441,"priority":381},"references/optimization_summary.json",{"path":443,"priority":381},"references/optimized_prompt.txt",{"path":445,"priority":381},"references/patterns_found.json",{"basePath":447,"description":448,"displayName":449,"installMethods":450,"rationale":451,"selectedPaths":452,"source":352,"sourceLanguage":18,"type":266},"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",[453,454,456,458,460,462],{"path":360,"priority":346},{"path":455,"priority":381},"references/bias-mitigation.md",{"path":457,"priority":381},"references/evaluation-pipeline.md",{"path":459,"priority":381},"references/implementation-patterns.md",{"path":461,"priority":381},"references/metrics-guide.md",{"path":463,"priority":372},"scripts/evaluation_example.py",{"basePath":465,"description":466,"displayName":467,"installMethods":468,"rationale":469,"selectedPaths":470,"source":352,"sourceLanguage":18,"type":266},"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",[471,472,474,476,478],{"path":360,"priority":346},{"path":473,"priority":381},"references/bdi-ontology-core.md",{"path":475,"priority":381},"references/framework-integration.md",{"path":477,"priority":381},"references/rdf-examples.md",{"path":479,"priority":381},"references/sparql-competency.md",{"basePath":481,"description":482,"displayName":483,"installMethods":484,"rationale":485,"selectedPaths":486,"source":352,"sourceLanguage":18,"type":266},"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",[487,488,490],{"path":360,"priority":346},{"path":489,"priority":381},"references/evaluation-framework.md",{"path":491,"priority":372},"scripts/compression_evaluator.py",{"basePath":493,"description":494,"displayName":495,"installMethods":496,"rationale":497,"selectedPaths":498,"source":352,"sourceLanguage":18,"type":266},"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",[499,500,502],{"path":360,"priority":346},{"path":501,"priority":381},"references/patterns.md",{"path":503,"priority":372},"scripts/degradation_detector.py",{"basePath":505,"description":506,"displayName":507,"installMethods":508,"rationale":509,"selectedPaths":510,"source":352,"sourceLanguage":18,"type":266},"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",[511,512,514],{"path":360,"priority":346},{"path":513,"priority":381},"references/context-components.md",{"path":515,"priority":372},"scripts/context_manager.py",{"basePath":517,"description":518,"displayName":519,"installMethods":520,"rationale":521,"selectedPaths":522,"source":352,"sourceLanguage":18,"type":266},"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",[523,524,526],{"path":360,"priority":346},{"path":525,"priority":381},"references/optimization_techniques.md",{"path":527,"priority":372},"scripts/compaction.py",{"basePath":529,"description":530,"displayName":531,"installMethods":532,"rationale":533,"selectedPaths":534,"source":352,"sourceLanguage":18,"type":266},"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",[535,536,538],{"path":360,"priority":346},{"path":537,"priority":381},"references/metrics.md",{"path":539,"priority":372},"scripts/evaluator.py",{"basePath":262,"description":10,"displayName":265,"installMethods":541,"rationale":542,"selectedPaths":543,"source":352,"sourceLanguage":18,"type":266},{"claudeCode":12},"SKILL.md frontmatter at skills/filesystem-context/SKILL.md",[544,545,546],{"path":360,"priority":346},{"path":459,"priority":381},{"path":547,"priority":372},"scripts/filesystem_context.py",{"basePath":549,"description":550,"displayName":551,"installMethods":552,"rationale":553,"selectedPaths":554,"source":352,"sourceLanguage":18,"type":266},"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",[555,556,558],{"path":360,"priority":346},{"path":557,"priority":381},"references/infrastructure-patterns.md",{"path":559,"priority":372},"scripts/sandbox_manager.py",{"basePath":561,"description":562,"displayName":563,"installMethods":564,"rationale":565,"selectedPaths":566,"source":352,"sourceLanguage":18,"type":266},"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",[567,568],{"path":360,"priority":346},{"path":569,"priority":381},"references/attention-matching-formulation.md",{"basePath":571,"description":572,"displayName":573,"installMethods":574,"rationale":575,"selectedPaths":576,"source":352,"sourceLanguage":18,"type":266},"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",[577,578,580],{"path":360,"priority":346},{"path":579,"priority":381},"references/implementation.md",{"path":581,"priority":372},"scripts/memory_store.py",{"basePath":583,"description":584,"displayName":585,"installMethods":586,"rationale":587,"selectedPaths":588,"source":352,"sourceLanguage":18,"type":266},"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",[589,590,592],{"path":360,"priority":346},{"path":591,"priority":381},"references/frameworks.md",{"path":593,"priority":372},"scripts/coordination.py",{"basePath":595,"description":596,"displayName":597,"installMethods":598,"rationale":599,"selectedPaths":600,"source":352,"sourceLanguage":18,"type":266},"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",[601,602,604,606],{"path":360,"priority":346},{"path":603,"priority":381},"references/case-studies.md",{"path":605,"priority":381},"references/pipeline-patterns.md",{"path":607,"priority":372},"scripts/pipeline_template.py",{"basePath":609,"description":610,"displayName":611,"installMethods":612,"rationale":613,"selectedPaths":614,"source":352,"sourceLanguage":18,"type":266},"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",[615,616,618,620],{"path":360,"priority":346},{"path":617,"priority":381},"references/architectural_reduction.md",{"path":619,"priority":381},"references/best_practices.md",{"path":621,"priority":372},"scripts/description_generator.py",{"basePath":623,"description":624,"displayName":625,"installMethods":626,"rationale":627,"selectedPaths":628,"source":352,"sourceLanguage":18,"type":266},"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",[629],{"path":360,"priority":346},{"basePath":412,"installMethods":631,"rationale":632,"selectedPaths":633,"source":352,"sourceLanguage":18,"type":639},{"pypi":414},"cli ecosystem detected at examples/interleaved-thinking",[634,636,637],{"path":635,"priority":346},"pyproject.toml",{"path":348,"priority":346},{"path":638,"priority":381},"reasoning_trace_optimizer/cli.py","cli",{"sources":641},[642],"manual",{"closedIssues90d":250,"description":644,"forks":251,"license":256,"openIssues90d":252,"pushedAt":253,"readmeSize":248,"stars":254,"topics":645},"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":647,"discoverAt":648,"extractAt":649,"githubAt":649,"updatedAt":647},1778694268713,1778694264629,1778694266904,[225,224,223,226,227],{"evaluatedAt":260,"extractAt":311,"updatedAt":260},[],[654,681,716,739,770,800],{"_creationTime":655,"_id":656,"community":657,"display":658,"identity":664,"providers":667,"relations":675,"tags":677,"workflow":678},1778682832193.8853,"k170td5mt0kbh7w2bvz58e8cw186mebb",{"reviewCount":8},{"description":659,"installMethods":660,"name":662,"sourceUrl":663},"Persistent memory for Claude Code agents with an agent-audit-ritual architecture. User only talks; agent captures, audits, proposes promotions, and writes. Four layers — daily logs, hot cache (MEMORY.md), role-based reference skills (Anthropic-native, user-invocable: false), canonical rules. /close-day runs the audit ritual at end of day. Multi-project isolation via projects/\u003Cname>/. Zero external dependencies.",{"claudeCode":661},"awrshift/claude-starter-kit","claude-memory-kit","https://github.com/awrshift/claude-starter-kit",{"basePath":276,"githubOwner":665,"githubRepo":666,"locale":18,"slug":666,"type":266},"awrshift","claude-starter-kit",{"evaluate":668,"extract":674},{"promptVersionExtension":216,"promptVersionScoring":217,"score":220,"tags":669,"targetMarket":228,"tier":229},[670,225,671,672,673,224],"memory","knowledge-base","productivity","claude-code",{"commitSha":300},{"repoId":676},"kd74azkbvr7mctmsffhjpq27c586n525",[225,673,224,671,670,672],{"evaluatedAt":679,"extractAt":680,"updatedAt":679},1778682912841,1778682832193,{"_creationTime":682,"_id":683,"community":684,"display":685,"identity":691,"providers":697,"relations":707,"tags":711,"workflow":712},1778693808357.2327,"k17b8cgj7enb26b6ek6rfjzn1x86mh4h",{"reviewCount":8},{"description":686,"installMethods":687,"name":689,"sourceUrl":690},"Aktualisiert den Context-Mode von GitHub und behebt Hooks/Einstellungen.\nZieht die neueste Version, baut sie, installiert sie, aktualisiert npm global, konfiguriert Hooks.\nTrigger: /context-mode:ctx-upgrade\n",{"claudeCode":688},"mksglu/context-mode","Context Mode","https://github.com/mksglu/context-mode",{"basePath":692,"githubOwner":693,"githubRepo":694,"locale":695,"slug":696,"type":266},"skills/ctx-upgrade","mksglu","context-mode","de","ctx-upgrade",{"evaluate":698,"extract":705},{"promptVersionExtension":216,"promptVersionScoring":217,"score":699,"tags":700,"targetMarket":228,"tier":229},100,[224,701,702,703,672,704],"llm-ops","code-execution","session-continuity","mcp",{"commitSha":300,"license":706},"NOASSERTION",{"parentExtensionId":708,"repoId":709,"translatedFrom":710},"k17ezy748es7sfnbnp9phht43h86m53y","kd764b2fctbqg4b8j8y6xvmkvs86m29m","k17fqs996gpd2bggec9k1qbbns86nh4g",[702,224,701,704,672,703],{"evaluatedAt":713,"extractAt":714,"updatedAt":715},1778693713738,1778693511416,1778693808357,{"_creationTime":717,"_id":718,"community":719,"display":720,"identity":724,"providers":726,"relations":733,"tags":735,"workflow":736},1778693776323.6208,"k17d4tp9kh6k4rf7s1rzzw5b6s86m492",{"reviewCount":8},{"description":721,"installMethods":722,"name":723,"sourceUrl":690},"Führt Diagnosen für den Kontextmodus aus. Überprüft Laufzeiten, Hooks, FTS5,\nPlugin-Registrierung sowie npm- und Marktplatzversionen.\nAuslöser: /context-mode:ctx-doctor\n",{"claudeCode":688},"ctx-doctor",{"basePath":725,"githubOwner":693,"githubRepo":694,"locale":695,"slug":723,"type":266},"skills/ctx-doctor",{"evaluate":727,"extract":732},{"promptVersionExtension":216,"promptVersionScoring":217,"score":699,"tags":728,"targetMarket":228,"tier":229},[224,729,672,730,731],"developer-tools","debugging","diagnostics",{"commitSha":300},{"parentExtensionId":708,"repoId":709,"translatedFrom":734},"k17dre81ghdhwnja4h61m340qd86m942",[224,730,729,731,672],{"evaluatedAt":737,"extractAt":714,"updatedAt":738},1778693603549,1778693776323,{"_creationTime":740,"_id":741,"community":742,"display":743,"identity":749,"providers":753,"relations":763,"tags":766,"workflow":767},1778668146481.875,"k17147wq51e9aek37ygbwm2xvs86mhg3",{"reviewCount":8},{"description":744,"installMethods":745,"name":747,"sourceUrl":748},"Persist SEO/GEO campaign context across Claude sessions with automatic hot-list, active work, and archive tiers. 项目记忆/跨会话",{"claudeCode":746},"aaron-he-zhu/seo-geo-claude-skills","memory-management","https://github.com/aaron-he-zhu/seo-geo-claude-skills",{"basePath":750,"githubOwner":751,"githubRepo":752,"locale":18,"slug":747,"type":266},"cross-cutting/memory-management","aaron-he-zhu","seo-geo-claude-skills",{"evaluate":754,"extract":761},{"promptVersionExtension":216,"promptVersionScoring":217,"score":699,"tags":755,"targetMarket":228,"tier":229},[756,757,758,224,759,760],"seo","geo","project-memory","session-context","campaign-tracking",{"commitSha":300,"license":762},"Apache-2.0",{"parentExtensionId":764,"repoId":765},"k17bw7fa1vx09gqzzmf42cfz0d86ngd6","kd7avx4agxh7qvwmg0n0y5pg4186mx4t",[760,224,757,758,756,759],{"evaluatedAt":768,"extractAt":769,"updatedAt":768},1778668325430,1778668146481,{"_creationTime":771,"_id":772,"community":773,"display":774,"identity":780,"providers":785,"relations":793,"tags":796,"workflow":797},1778696691708.3218,"k17eqpa3h27h177b037g2e8m8n86ndwb",{"reviewCount":8},{"description":775,"installMethods":776,"name":778,"sourceUrl":779},"Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection",{"claudeCode":777},"ruvnet/ruflo","Horizon Track","https://github.com/ruvnet/ruflo",{"basePath":781,"githubOwner":782,"githubRepo":783,"locale":18,"slug":784,"type":266},"plugins/ruflo-goals/skills/horizon-track","ruvnet","ruflo","horizon-track",{"evaluate":786,"extract":792},{"promptVersionExtension":216,"promptVersionScoring":217,"score":699,"tags":787,"targetMarket":228,"tier":229},[788,789,790,226,791,704],"objective-tracking","project-management","long-term-goals","session-management",{"commitSha":300,"license":256},{"parentExtensionId":794,"repoId":795},"k17bh7m6sv83frxqdhrd00vzcx86n03e","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[790,704,788,226,789,791],{"evaluatedAt":798,"extractAt":799,"updatedAt":798},1778700614118,1778696691708,{"_creationTime":801,"_id":802,"community":803,"display":804,"identity":810,"providers":814,"relations":823,"tags":826,"workflow":827},1778699018122.8064,"k178yxvt3g9djb8ph907q3tv1186n8ex",{"reviewCount":8},{"description":805,"installMethods":806,"name":808,"sourceUrl":809},"Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.",{"claudeCode":807},"wshobson/agents","embedding-strategies","https://github.com/wshobson/agents",{"basePath":811,"githubOwner":812,"githubRepo":813,"locale":18,"slug":808,"type":266},"plugins/llm-application-dev/skills/embedding-strategies","wshobson","agents",{"evaluate":815,"extract":822},{"promptVersionExtension":216,"promptVersionScoring":217,"score":699,"tags":816,"targetMarket":228,"tier":229},[817,818,819,820,821,227],"embeddings","rag","semantic-search","vector-databases","llm-applications",{"commitSha":300},{"parentExtensionId":824,"repoId":825},"k1719fyk9jrke6aq23wbyf8ej586n3af","kd74de64zj0axtg5b8t7eqqe2x86nske",[817,821,227,818,819,820],{"evaluatedAt":828,"extractAt":829,"updatedAt":828},1778701750946,1778699018122]