$ loading_
Build automated codebase execution loops and engineering test workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "skills" yet — see the docs or source repo.
Design an automated execution loop for this codebase, including task intake, code changes, test runs, rollback on failure, result logging, and next-iteration retry. Output module breakdown, key interfaces, pseudocode, and implementation steps.
A practical code loop engineering plan with architecture, flow, and pseudocode.
Analyze the current testing gaps in this repository and design a continuous feedback loop covering unit tests, integration tests, failure classification, log collection, auto-fix suggestions, and quality gates. Prioritize the output.
A prioritized testing loop design to systematically improve code quality.
I want AI to iteratively develop an existing project. Design a loop engineer workflow covering requirement breakdown, code generation, validation, error recovery, change summaries, and human intervention points, and explain how to integrate it with CI.
An iterative AI-assisted development workflow with CI integration recommendations.
Design, audit, and optimize AI coding agent loops and orchestration systems.
Run iterative AI coding tasks on repositories with quality, security, and approvals.
Optimize coding agents with performance, security, memory, and research-first workflows.
Automatically distill, update, and prune reusable skills from real coding sessions.
Build AI agents quickly with a model-driven approach and minimal code.
Set up portable agents aligned with your codebase, workflows, and engineering standards.