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caveman-learn

Open source alternatives to caveman-learn

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About caveman-learn

C

caveman-learn

Act on a Caveman learn report

caveman-learn is an agent skill from the caveman project that acts on a Caveman learn report. The learn command measures where an agent's tokens go, and this skill is the consent-gated half that turns those findings into edits. It reviews the ranked token sinks, proposes cost-lowering fixes, applies each edit only with the user's approval, and then reports what the fixes returned. It is built on two rules: it never claims a saving it has not measured, and it never makes the agent less capable to save tokens. The report includes several kinds of finding, which the skill explains. Cache efficiency shows what a million input tokens cost after cache reuse, and it is a rate used to price the other sinks, not a volume to add. Tool output portfolio ranks the call shapes that take up most of the context. Session outcomes shows the share of tokens in sessions with no commit in their window, which the skill presents as a correlation rather than proof of waste. Subagent spend is for visibility only, and the skill does not turn it into advice to use fewer subagents. Procedure repeat findings are candidates for distilling into a skill.

View caveman-learnAll AI Skills apps
Price
Free
Made by
juliusbrussee
Category
AI Skills
Website
github.com/juliusbrussee/caveman/caveman-learn