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Trigger: /caveman-compress FILEPATH or \"compress memory file\"\n","caveman-compress",{"claudeCode":12},"SKILL.md frontmatter at skills/caveman-compress/SKILL.md (coalesced with duplicate skill at plugins/caveman/skills/caveman-compress)",[363,364,365,367,369,371,373,375,377,379],{"path":347,"priority":278},{"path":291,"priority":294},{"path":366,"priority":306},"SECURITY.md",{"path":368,"priority":327},"scripts/__init__.py",{"path":370,"priority":327},"scripts/__main__.py",{"path":372,"priority":327},"scripts/benchmark.py",{"path":374,"priority":327},"scripts/cli.py",{"path":376,"priority":327},"scripts/compress.py",{"path":378,"priority":327},"scripts/detect.py",{"path":380,"priority":327},"scripts/validate.py",{"basePath":382,"description":383,"displayName":384,"installMethods":385,"rationale":386,"selectedPaths":387,"source":279,"sourceLanguage":280,"type":253},"skills/caveman-stats","Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /caveman-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.\n","caveman-stats",{"claudeCode":12},"SKILL.md frontmatter at skills/caveman-stats/SKILL.md (coalesced with duplicate skill at plugins/caveman/skills/caveman-stats)",[388,389],{"path":347,"priority":278},{"path":291,"priority":294},{"basePath":391,"description":392,"displayName":393,"installMethods":394,"rationale":395,"selectedPaths":396,"source":279,"sourceLanguage":280,"type":253},"skills/caveman-commit","Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when \"why\" isn't obvious. Use when user says \"write a commit\", \"commit message\", \"generate commit\", \"/commit\", or invokes /caveman-commit. Auto-triggers when staging changes.\n","caveman-commit",{"claudeCode":12},"SKILL.md frontmatter at skills/caveman-commit/SKILL.md",[397,398],{"path":347,"priority":278},{"path":291,"priority":294},{"basePath":400,"description":401,"displayName":402,"installMethods":403,"rationale":404,"selectedPaths":405,"source":279,"sourceLanguage":280,"type":253},"skills/caveman-help","Quick-reference card for all caveman modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /caveman-help, \"caveman help\", \"what caveman commands\", \"how do I use caveman\".\n","caveman-help",{"claudeCode":12},"SKILL.md frontmatter at skills/caveman-help/SKILL.md",[406,407],{"path":347,"priority":278},{"path":291,"priority":294},{"basePath":409,"description":410,"displayName":411,"installMethods":412,"rationale":413,"selectedPaths":414,"source":279,"sourceLanguage":280,"type":253},"skills/caveman-review","Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says \"review this PR\", \"code review\", \"review the diff\", \"/review\", or invokes /caveman-review. Auto-triggers when reviewing pull requests.\n","caveman-review",{"claudeCode":12},"SKILL.md frontmatter at skills/caveman-review/SKILL.md",[415,416],{"path":347,"priority":278},{"path":291,"priority":294},{"basePath":283,"description":418,"displayName":419,"installMethods":420,"license":244,"rationale":421,"selectedPaths":422,"source":279,"sourceLanguage":280,"type":428},"Caveman installer — detects your AI coding agents and installs caveman for each one.","caveman-installer",{"npm":419},"cli ecosystem detected at /",[423,425,426,427],{"path":424,"priority":278},"package.json",{"path":291,"priority":278},{"path":293,"priority":294},{"path":326,"priority":306},"cli",{"basePath":430,"description":431,"displayName":432,"installMethods":433,"license":244,"rationale":434,"selectedPaths":435,"source":279,"sourceLanguage":280,"type":428},"src/mcp-servers/caveman-shrink","MCP proxy that compresses prose fields (tool descriptions, etc.) using caveman rules. Same accuracy, fewer context tokens.","caveman-shrink",{"npm":432},"cli ecosystem detected at src/mcp-servers/caveman-shrink",[436,437,438],{"path":424,"priority":278},{"path":291,"priority":278},{"path":439,"priority":306},"index.js",{"sources":441},[442],"manual",{"npmPackage":419},{"closedIssues90d":236,"description":445,"forks":237,"homepage":446,"license":244,"openIssues90d":238,"pushedAt":239,"readmeSize":234,"stars":240,"topics":447},"🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman","https://getcaveman.dev/",[448,449,251,450,451,452,453,454,253,455],"ai","anthropic","claude","claude-code","llm","meme","prompt-engineering","tokens",{"downloads":8},{"classifiedAt":458,"discoverAt":459,"extractAt":460,"githubAt":460,"npmAt":461,"updatedAt":458},1778691765329,1778691760140,1778691762475,1778691764072,[213,215,212,214,216],{"evaluatedAt":464,"extractAt":465,"updatedAt":247},1778691840545,1778691765524,[],[468,498,528,558,590,618],{"_creationTime":469,"_id":470,"community":471,"display":472,"identity":478,"providers":481,"relations":490,"tags":493,"workflow":494},1778699514767.176,"k17f4qpem03b53manh7vcdvtr986mmjg",{"reviewCount":8},{"description":473,"installMethods":474,"name":476,"sourceUrl":477},"AI 代理的上下文运行时 — 包含 59 个 MCP 工具、10 种读取模式、95+ 种 shell 模式、支持 18 种语言的 tree-sitter AST。将 LLM 上下文压缩高达 99%。用于读取文件、运行 shell 命令、搜索代码或探索目录。如果不存在，则自动安装。",{"claudeCode":475},"yvgude/lean-ctx","lean-ctx","https://github.com/yvgude/lean-ctx",{"basePath":479,"githubOwner":480,"githubRepo":476,"locale":18,"slug":476,"type":253},"skills/lean-ctx","yvgude",{"evaluate":482,"extract":489},{"promptVersionExtension":205,"promptVersionScoring":206,"score":483,"tags":484,"targetMarket":258,"tier":217},100,[485,486,487,216,488,215],"context-compression","ai-agent","cli-tools","rust",{"commitSha":260},{"repoId":491,"translatedFrom":492},"kd7dxtfr9j3z54hs3bz0218e1n86may0","k170fxxh22hdspg4vr94whgj1986mpr9",[486,487,215,485,216,488],{"evaluatedAt":495,"extractAt":496,"updatedAt":497},1778699456179,1778699438912,1778699514767,{"_creationTime":499,"_id":500,"community":501,"display":502,"identity":508,"providers":512,"relations":519,"tags":523,"workflow":524},1778693779072.0886,"k17dpgjm67e1yh81ym3nt0ra5586m4n4",{"reviewCount":8},{"description":503,"installMethods":504,"name":506,"sourceUrl":507},"运行 context-mode 诊断。检查运行时、钩子、FTS5、\n插件注册、npm 和 marketplace 版本。\n触发器：/context-mode:ctx-doctor\n",{"claudeCode":505},"mksglu/context-mode","ctx-doctor","https://github.com/mksglu/context-mode",{"basePath":509,"githubOwner":510,"githubRepo":511,"locale":18,"slug":506,"type":253},"skills/ctx-doctor","mksglu","context-mode",{"evaluate":513,"extract":518},{"promptVersionExtension":205,"promptVersionScoring":206,"score":483,"tags":514,"targetMarket":258,"tier":217},[214,216,515,516,517],"productivity","debugging","diagnostics",{"commitSha":260},{"parentExtensionId":520,"repoId":521,"translatedFrom":522},"k17ezy748es7sfnbnp9phht43h86m53y","kd764b2fctbqg4b8j8y6xvmkvs86m29m","k17dre81ghdhwnja4h61m340qd86m942",[214,516,216,517,515],{"evaluatedAt":525,"extractAt":526,"updatedAt":527},1778693603549,1778693511416,1778693779072,{"_creationTime":529,"_id":530,"community":531,"display":532,"identity":538,"providers":543,"relations":551,"tags":554,"workflow":555},1778695548458.377,"k17esa27yncbsd0bz8hcg2crg986mjqk",{"reviewCount":8},{"description":533,"installMethods":534,"name":536,"sourceUrl":537},"Extract the conceptual essence of a repository as skills, agents, and teams — the project's roles, procedures, and coordination patterns expressed as agentskills.io-standard definitions. Reads an arbitrary codebase and produces generalized definitions that capture WHAT the project does and WHO operates it, without replicating HOW it does it. Use when onboarding to a new codebase and wanting to understand its conceptual architecture, when bootstrapping an agentic system from an existing project, when studying a project's organizational DNA for cross-pollination, or when creating a skill/agent/team library inspired by a reference implementation.\n",{"claudeCode":535},"pjt222/agent-almanac","Metal","https://github.com/pjt222/agent-almanac",{"basePath":539,"githubOwner":540,"githubRepo":541,"locale":280,"slug":542,"type":253},"skills/metal","pjt222","agent-almanac","metal",{"evaluate":544,"extract":550},{"promptVersionExtension":205,"promptVersionScoring":206,"score":483,"tags":545,"targetMarket":258,"tier":217},[215,546,547,548,549],"conceptualization","agent-definition","repository-structure","software-architecture",{"commitSha":260,"license":244},{"parentExtensionId":552,"repoId":553},"k170h0janaa9kwn7cfgfz2ykss86mmh9","kd7aryv63z61j39n2td1aeqkvh86mh12",[547,215,546,548,549],{"evaluatedAt":556,"extractAt":557,"updatedAt":556},1778699463464,1778695548458,{"_creationTime":559,"_id":560,"community":561,"display":562,"identity":568,"providers":573,"relations":582,"tags":585,"workflow":586},1778698402261.987,"k17a3kqv7728k9gtyr2ymzkhpd86nny4",{"reviewCount":8},{"description":563,"installMethods":564,"name":566,"sourceUrl":567},"将代码库映射为按功能分组的流程图，识别不同功能之间的重复关注点，并提出统一的架构。在被要求“寻找理想路径”、统一重复系统或在重构前审计架构时使用。输出一个建议的统一流程图以及针对每个系统的“制定计划”提示。",{"claudeCode":565},"thedotmack/claude-mem","Pathfinder","https://github.com/thedotmack/claude-mem",{"basePath":569,"githubOwner":570,"githubRepo":571,"locale":18,"slug":572,"type":253},"plugin/skills/pathfinder","thedotmack","claude-mem","pathfinder",{"evaluate":574,"extract":580},{"promptVersionExtension":205,"promptVersionScoring":206,"score":483,"tags":575,"targetMarket":258,"tier":217},[215,576,577,578,579],"architecture","documentation","refactoring","flowchart",{"commitSha":260,"license":581},"Apache-2.0",{"repoId":583,"translatedFrom":584},"kd70jnxgm695az2wtf37zbqdj986mp7k","k176pxdjxvnyex7jv6abt3myd586n5vv",[576,215,577,579,578],{"evaluatedAt":587,"extractAt":588,"updatedAt":589},1778698228002,1778698056313,1778698402262,{"_creationTime":591,"_id":592,"community":593,"display":594,"identity":600,"providers":603,"relations":612,"tags":614,"workflow":615},1778694578248.103,"k17712r7xw99tfa8w7xzre9a4d86m8re",{"reviewCount":8},{"description":595,"installMethods":596,"name":598,"sourceUrl":599},"Codacy Cloud workflow for this repository -- run Codacy's analyzers locally before `git push` (mirrors what Codacy CI runs), and fetch/cluster Codacy issues for any PR via the v3 API. Use when the user mentions Codacy, \"codacy analysis\", `codacy-analysis-cli`, \"codacy issues on PR\", \"fix codacy CI\", \"codacy markdownlint findings\", or any Codacy gate failing on a netdata-org PR. Ships scripts analyze-local.sh (docker/binary runner for codacy-analysis-cli) and pr-issues.sh (paginated v3 issue fetch + group-by tool/pattern/severity/file). Token-safe -- CODACY_TOKEN never reaches assistant-visible stdout. Read-only by design in the current SOW; write actions (mark FP, mark fixed) are deferred.",{"claudeCode":597},"netdata/netdata","codacy-audit","https://github.com/netdata/netdata",{"basePath":601,"githubOwner":602,"githubRepo":602,"locale":280,"slug":598,"type":253},".agents/skills/codacy-audit","netdata",{"evaluate":604,"extract":611},{"promptVersionExtension":205,"promptVersionScoring":206,"score":483,"tags":605,"targetMarket":258,"tier":217},[606,215,607,608,609,610],"codacy","ci","pr-review","linting","security-analysis",{"commitSha":260},{"repoId":613},"kd70yp91ybn40a638h3hzz6nbd86m2cw",[607,606,215,609,608,610],{"evaluatedAt":616,"extractAt":617,"updatedAt":616},1778694601008,1778694578248,{"_creationTime":619,"_id":620,"community":621,"display":622,"identity":628,"providers":632,"relations":640,"tags":643,"workflow":644},1778692488329.0144,"k1724vjyyetw8qcfh8anb4c3tn86ngy7",{"reviewCount":8},{"description":623,"installMethods":624,"name":626,"sourceUrl":627},"Extract domain knowledge from existing project sources and generate domain rules. Also handles vault sync and domain listing.",{"claudeCode":625},"luiseiman/claude-kit","domain-extract","https://github.com/luiseiman/claude-kit",{"basePath":629,"githubOwner":630,"githubRepo":631,"locale":280,"slug":626,"type":253},"skills/domain-extract","luiseiman","claude-kit",{"evaluate":633,"extract":639},{"promptVersionExtension":205,"promptVersionScoring":206,"score":483,"tags":634,"targetMarket":258,"tier":217},[635,636,637,215,638],"domain-extraction","knowledge-management","rule-generation","automation",{"commitSha":260},{"parentExtensionId":641,"repoId":642},"k17650xadq8363kzchr4w0gmf186nq24","kd79wqc8an5wh20cc2znr8tyb586mxwx",[638,215,635,636,637],{"evaluatedAt":645,"extractAt":646,"updatedAt":645},1778693090713,1778692488329]