caveman-learn 是做什么的？
完成 Caveman learn 报告的闭环——审查排名后的 Token 消耗项目，并应用降低成本的修复措施（修剪配置，将重复上下文卸载到 cavemem），每次编辑前需征得同意。当用户运行“caveman learn”、要求降低其 Agent 的 Token 成本、想要修剪庞大的 CLAUDE.md / AGENTS.md 文件，或者想要将每个会话中反复粘贴的上下文卸载到 cavemem 时使用。
完成 Caveman learn 报告的闭环——审查排名后的 Token 消耗项目，并应用降低成本的修复措施（修剪配置，将重复上下文卸载到 cavemem），每次编辑前需征得同意。当用户运行“caveman learn”、要求降低其 Agent 的 Token 成本、想要修剪庞大的 CLAUDE.md / AGENTS.md 文件，或者想要将每个会话中反复粘贴的上下文卸载到 cavemem 时使用。
此技能旨在完成 Caveman learn 报告的闭环流程。它会自动审查报告中按 Token 消耗量排序的项目，然后针对性地提出并应用成本降低方案，例如修剪配置或将重复上下文卸载到 cavemem 存储器中。该技能的核心价值在于帮助用户有效降低 AI Agent 的 Token 使用成本，特别是在处理庞大的 CLAUDE.md 或 AGENTS.md 配置文件，或者需要管理每个会话中反复粘贴的冗余上下文时。它适用于与 Caveman 工具集成的 Agent 平台（如 Claude Code、Cursor 等）。工作流程包括：在用户运行“caveman learn”后，技能会分析报告并生成优化建议，随后以交互方式逐一征求用户同意，再执行文件编辑操作，从而在降低 Token 消耗的同时确保用户对变更的完全控制。
npx skills add https://github.com/geovanejunior92-debug/claude-skills/tree/main/skills/caveman-learnInstalled? Explore more 编程与开发 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
完成 Caveman learn 报告的闭环——审查排名后的 Token 消耗项目，并应用降低成本的修复措施（修剪配置，将重复上下文卸载到 cavemem），每次编辑前需征得同意。当用户运行“caveman learn”、要求降低其 Agent 的 Token 成本、想要修剪庞大的 CLAUDE.md / AGENTS.md 文件，或者想要将每个会话中反复粘贴的上下文卸载到 cavemem 时使用。
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"
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.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.