Open source alternatives to extract
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Launchgithub-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
- O

opensource-pipeline
Launchopensource-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
- A

andrej-karpathy-skills
Launchandrej-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
- M

microsoft/markitdown
Launchmarkitdown-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
- O

od-contribute
Launchod-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
- G

github-deep-research
Launchgithub-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
More AI Skills apps

modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context

netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics

Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About extract

extract
Identify and extract reusable components, design tokens
extract is an agent skill from the impeccable design project that finds repeated UI patterns in a codebase and moves them into a design system. It looks for components that appear many times, such as buttons, cards and inputs, for hard-coded colors, spacing, typography and shadows that should be tokens, and for inconsistent variations of the same idea, such as three different button styles. It also looks for layout, composition and interaction patterns that are worth turning into shared pieces. The skill first locates the design system, component library or shared UI folder by searching for the usual names, and it learns the component organization, naming conventions, token structure, documentation style and import and export habits. If there is no design system at all, the skill stops and asks before it creates one, because the location and structure should follow the team's preference. Once the patterns are found, it plans the extraction, covering component APIs, token hierarchies and naming. It requires the /impeccable skill, which holds the design principles and Context Gathering Protocol. Install it with npx skills add https://github.com/pbakaus/impeccable --skill extract. On skills.sh it passes Gen Agent Trust Hub, Socket and Snyk.
- Price
- Free
- Made by
- pbakaus
- Category
- AI Skills
- Website
- github.com/pbakaus/impeccable/extract











