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arena

Open source alternatives to arena

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

Top picks

  1. G

    github-ops

    Get

    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

    Get

    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

    Get

    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

    Get

    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

    Get

    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

    Get

    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 arena

A

arena

Spawn N parallel candidates at the same task, pick a base

arena is an agent skill from Cursor's plugins collection that runs several candidate solutions to the same task in parallel, picks a base, and grafts the strongest parts of the other candidates into it. Its phases are: frame the task, fan out to parallel candidates, cross-judge them, pick a base, graft, and verify. In the framing phase every candidate receives the same prompt, so the prompt acts as the contract. The agent states the artefact each candidate should produce and writes a rubric of three to six concrete, gradeable criteria for success. The rubric is kept for the judging stage, because candidates only see the task. The skill selects the models to run from a configured list in the user's rules, with defaults and family matching when a configured model is refused, and it omits the model setting when the entry means the parent model. The approach is useful for tasks where there are several reasonable designs and you want the evidence to decide between them, rather than trusting the first attempt. It costs more than a single run, so it suits decisions that matter. It is listed on skills.sh, where the page shows install counts and GitHub stars for the Cursor plugins repository, and its security audits all pass. Install it with npx skills add https://github.com/cursor/plugins --skill arena.

Price
Free
Made by
cursor
Category
AI Skills
Website
github.com/cursor/plugins/arena