dev-loop

Automate feature development from request to pull request with verification.

41|2|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/autonomous-ai/autonomous-vibe --skill dev-loop-autonomous-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-loop
Source: https://github.com/autonomous-ai/autonomous-vibe/tree/main/.claude/skills/dev-loop
Command: npx skills add https://github.com/autonomous-ai/autonomous-vibe --skill dev-loop-autonomous-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the development process of end-to-end features in the Panda desktop app, from request to pull request, with automated verification at each stage.

Core Features & Use Cases

  • Automated Development Loop: Manages the feature development process, ensuring that each stage from request to PR is verified.
  • Multi-Stage Verification: Conducts adversarial reviews, mandatory builds, and code reviews before opening a PR.
  • User Approval: Ensures the user's approval is obtained before opening the PR.
  • Use Case: For developers who want to streamline the feature development process in the Panda desktop app, reducing manual work and improving consistency.

Quick Start

Use the dev-loop skill to develop a new feature in the Panda desktop app. Follow the automated process for feature development and submit the feature as a pull request.

Frequently Asked Questions about dev-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate feature development from request to pull request?

Automated feature development handles the full lifecycle from feature request to pull request by isolating the feature, planning implementation, verifying the build, conducting code review, and opening the PR upon user approval.

What is automated verification in the pull request workflow?

Automated verification in the pull request workflow conducts adversarial reviews, mandatory builds, and code reviews before opening a PR. This multi-stage process ensures feature consistency and reduces manual checking.

How do I get a code review before opening a pull request?

To get a code review before opening a pull request, the automated development loop performs an adversarial review and mandatory build during the implementation stage. User approval is required as the final step before the PR is created.

Can I use automated verification for feature development in a desktop app?

Yes, automated verification supports feature development in the Panda desktop app. It manages feature isolation, implementation, and multi-stage verification to streamline the process from request to pull request.

What's the best way to manage feature isolation and planning for a pull request?

The best way to manage feature isolation and planning is using an automated development loop that handles feature requests end-to-end. It plans implementation and verifies the build before opening a pull request.

When should I not use an automated development loop for feature development?

You should not use an automated development loop if your feature requires manual implementation outside the Panda desktop app environment, or if you need to bypass mandatory builds and adversarial code reviews before submitting a pull request.