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explore-code

Open source alternatives to explore-code

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

Top picks

  1. G

    github-ops

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    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 explore-code

E

explore-code

Rigor Improve implementation leaf skill

explore-code is an agent skill from the rigorpilot-skills collection for making bounded, exploratory code changes to a deep learning research repository. It is the Rigor Improve leaf skill, and its installed name is kept for compatibility. The skill is meant for the moments when a researcher explicitly authorizes code changes on an isolated branch or worktree, so experiments do not touch the main code. It fits source-anchored tasks such as transplanting a module from a reference implementation, adapting a backbone, inserting LoRA or adapter layers, and combining low-risk modules. The result of such a change is a candidate, not a trusted conclusion, so the skill is set up to record a summary of the work rather than claim success. It guides candidate code work without over-prescribing how the implementation should look, which leaves the model's judgment about the code to work with the specific repository. It is for researchers who want an assistant to try a modification quickly and keep a clear trail of what was changed. It should not be used for ordinary bug fixes or for work that has not been authorized. On skills.sh, Socket and Snyk pass, and Gen Agent Trust Hub shows a warning. Install it with npx skills add https://github.com/lllllllama/rigorpilot-skills --skill explore-code.

View explore-codeAll AI Skills apps
Price
Free
Made by
lllllllama
Category
AI Skills
Website
github.com/lllllllama/rigorpilot-skills/explore-code