caveman-compress 是做什麼的？
將自然語言記憶檔案（CLAUDE.md / AGENTS.md、待辦事項、偏好設定）壓縮成原始人格式，以節省輸入 Token。保留所有技術內容、程式碼、URL 與結構。壓縮版本會覆蓋原始檔案，並將人類可讀的備份儲存為 FILE.original.md。觸發方式：/caveman-compress FILEPATH 或「壓縮記憶檔案」。
將自然語言記憶檔案（如 CLAUDE.md / AGENTS.md、待辦事項、偏好設定）壓縮成原始人格式，以節省輸入 Token。保留所有技術內容、程式碼、URL 與結構。壓縮版本會覆蓋原始檔案，並將人類可讀的備份儲存為 FILE.original.md。觸發方式：/caveman-compress FILEPATH 或「壓縮記憶檔案」。
這個技能用於壓縮開發者常用的記憶檔案（例如 CLAUDE.md 或 AGENTS.md），將其轉換為「原始人格式」（caveman format），以大幅減少輸入 Token 消耗。它會保留所有關鍵技術細節、程式碼、連結與結構，確保語意不遺失。壓縮後的版本會直接覆蓋原檔案，同時自動建立一個 .original.md 備份，方便日後查閱。支援透過 /caveman-compress FILEPATH 指令或自然語言提示「壓縮記憶檔案」來觸發，適合在 Claude Code、Cursor 或 Codex 等平台上使用，幫助開發者節省成本並維持生產力。
npx skills add https://github.com/geovanejunior92-debug/claude-skills/tree/main/skills/caveman-compressInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
將自然語言記憶檔案（CLAUDE.md / AGENTS.md、待辦事項、偏好設定）壓縮成原始人格式，以節省輸入 Token。保留所有技術內容、程式碼、URL 與結構。壓縮版本會覆蓋原始檔案，並將人類可讀的備份儲存為 FILE.original.md。觸發方式：/caveman-compress FILEPATH 或「壓縮記憶檔案」。
This repo contains 3 individual skills — each has its own dedicated page.
Close the loop on a Caveman learn report — review the ranked token sinks and apply cost-lowering fixes (trim config, offload recurring context to cavemem) with per-edit consent. Use when the user runs "caveman learn", asks to lower their agent's token cost, wants to trim a heavy CLAUDE.md / AGENTS.md, or wants to offload context they re-paste every session into cavemem.
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.
Monitors task execution for skill improvement opportunities. Use this skill during ANY multi-step task, agentic workflow, or substantive work session where the agent is using tools and producing deliverables. It captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers during post-task feedback discussions and when the user explicitly mentions skill observations, improvements, the observation log, skill taxonomy, or asks the agent to watch for skill opportunities. Also known as "One Skill to Rule Them All" — trigger on this phrase too. IMPORTANT: this skill should be invoked at the start of every task-oriented session — if you are about to use tools to produce deliverables, invoke this skill first. For reliable activation, pair this description with a CLAUDE.md / AGENTS.md instruction or harness-level session-start hook (see Recommended Activation Setup) — description-level matching alone is not enforceable.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors