graphify 是做什么的？
用于回答关于代码库、架构、文件关系或项目内容的任何问题——尤其在存在 graphify-out/ 时，优先将其视为 graphify 查询。将任何输入（代码、文档、论文、图像、视频）转化为持久化的知识图谱，包含神节点、社区检测以及查询/路径/解释工具。
用于回答关于代码库、架构、文件关系或项目内容的任何问题——尤其在存在 graphify-out/ 时，优先将其视为 graphify 查询。将任何输入（代码、文档、论文、图像、视频）转化为持久化的知识图谱，包含神节点、社区检测以及查询/路径/解释工具。
Graphify 是一个强大的 AI 代理技能，专为理解和分析代码库、架构、文件关系或项目内容而设计。当检测到项目中的 `graphify-out/` 目录时，代理会自动优先将其查询视为基于知识图谱的查询。该技能的核心功能是将各种输入（代码、文档、论文、图像、视频等）转化为一个持久化的知识图谱。该图谱支持“神节点”（god nodes）以表示高层次概念、社区检测算法以发现模块或功能群组，以及一套完备的查询（query）、路径（path）和解释（explain）工具。这使得开发者和 AI 代理能够深入探索项目结构、追踪依赖关系、理解代码逻辑，并进行高效的代码审查或文档生成。Graphify 适用于多个 AI 代理平台，如 Claude Code、Cursor 和 Codex，显著提升了开发效率和对复杂代码库的理解能力。
npx skills add https://github.com/geovanejunior92-debug/claude-skills/tree/main/skills/graphify用于回答关于代码库、架构、文件关系或项目内容的任何问题——尤其在存在 graphify-out/ 时，优先将其视为 graphify 查询。将任何输入（代码、文档、论文、图像、视频）转化为持久化的知识图谱，包含神节点、社区检测以及查询/路径/解释工具。
This repo contains 3 individual skills — each has its own dedicated page.
Compress natural language memory files (CLAUDE.md / AGENTS.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or "compress memory file"
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.
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.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.