Open source alternatives to structured-autonomy-plan
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 structured-autonomy-plan
structured-autonomy-plan
Structured planning framework for breaking development requests into testable
structured-autonomy-plan is an agent skill from the github/awesome-copilot collection that is a planning framework for breaking a development request into testable, commit-sized steps. It assumes the whole change will land in one pull request on its own branch, and it defines the plan as a series of steps that each correspond to a single commit. The first step is a research phase that is mandatory: the agent gathers the code context, the documentation, the dependencies and the patterns already used in the codebase before it plans anything, and it returns those findings before any planning begins. During this stage it writes no code. The second step determines the commits, breaking the request into an ordered sequence in which each commit can be tested on its own. It is useful for teams that review changes commit by commit and want each step to be small and verifiable. The plan is a proposal for the team to review, and its research depends on what the agent can read, so the parts it could not examine should be checked by a person. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 8.8K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/structured-autonomy-plan