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Open source alternatives to core

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 core

C

core

Core package for defining schemas, catalogs

core is the foundation package of json-render, which works with specs that are JSON output from an AI and conform to a schema. It provides the building blocks for defining that structure. A schema defines the structure of specs and catalogs, and you create one with defineSchema. A catalog maps component and action names to their definitions, and you build one with defineCatalog. A spec is the JSON an AI produces that matches the schema. SpecStream is a JSONL streaming format for building a spec progressively as its pieces arrive. The package also covers AI prompt generation from a catalog. It includes two experimental decision-model composition APIs, experimental_composeSpec and experimental_createEvaluator, which the project says are unreleased. Until they are published, they should be used from a source build, and experimental exports and Experimental_ types can change in any release, so you should pin exact versions once they ship. The skill is for work with @json-render/core, and it is installed with npx skills from the vercel-labs/json-render repository. Its security audits all pass.

View coreAll AI Skills apps
Price
Free
Made by
vercel-labs
Category
AI Skills
Website
github.com/vercel-labs/json-render/core