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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.
Run iterative AI coding tasks on repositories with quality, security, and approvals.
Find Harness engineering skills, best practices, and practical guidance quickly.
Optimize coding agents with performance, security, memory, and research-first workflows.
Build AI agents quickly with a model-driven approach and minimal code.
Set up portable agents aligned with your codebase, workflows, and engineering standards.
Design and choose autonomous Claude Code loop architectures and implementation patterns.