57
GitHub Stars
2
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill atrislabs/atris --skill autopilot- atris-autopilot.md1.4 KB
- SKILL.md4.0 KB
Overview
This skill runs PRD-driven autonomous execution: provide a task and it plans, does, and reviews in a loop until acceptance criteria are met or a stop condition is hit. It targets single-story tasks (feature or bug) and produces machine-readable outputs like prd.json, a progress log, and a completion journal. Triggers include "autopilot", "autonomous", "get it done", "finish this", and "ship it".
How this skill works
The skill auto-generates a PRD with testable acceptance criteria and priority, then iterates through a Plan → Do → Review loop up to a configurable max (default 5). The Plan step creates granular tasks and a roadmap; Do executes and commits minimal changes; Review validates acceptance criteria and either marks COMPLETE or emits a REVIEW_FAILED reason to trigger another iteration. It enforces one task at a time, checks project map files before edits, and logs progress and outcomes.
When to use it
- You want hands-off implementation of a single feature described by acceptance criteria.
- You need a bug fixed with a reproducible test and hands-off validation.
- You want automated, repeatable execution that loops until tests pass or max iterations are reached.
- You have a task that can be verified with clear pass/fail acceptance criteria.
- You prefer minimal, incremental changes and audit-friendly execution logs.
Best practices
- Provide a clear, concise description with explicit acceptance criteria or let the skill draft them.
- Limit requests to a single story (one feature or bug) for predictable iteration and results.
- Keep MAP.md or equivalent project map up to date so the planner can find files safely.
- Enable CI/tests or provide reproducible verification steps so the reviewer can validate changes.
- Set a reasonable max iterations and use verbose logging for debugging complex tasks.
Example use cases
- Add a dark mode toggle with UI tests and build verification.
- Fix a browser-specific login bug and add a regression test.
- Implement a small API endpoint with documented acceptance criteria and automated tests.
- Refactor a single module to match project patterns and ensure build passes.
- Pick the next item from TODO.md and complete it end-to-end with validation.
FAQ
Default max iterations is 5; you can configure a different limit when invoking the skill.
What happens if acceptance criteria can't be met?
The skill stops after reaching the max iterations or emits an unrecoverable error; it logs REVIEW_FAILED reasons and progress for manual follow-up.