Skip to content
structured-autonomy-plan

Self-hosted alternatives to structured-autonomy-plan

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About structured-autonomy-plan

S

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