Sanitizes and refines iterative AI deliverables by removing conversational residue, meta-commentary, and revision artifacts for clean…
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Learning & Documentation · Productivity & Workflow · Developer Tools & Repos · Communication & Collaboration · Security & Testing
15 agent skills — instructions the agent loads on demand. 15 of 15 are free. Median context cost 1.8k tokens.
Enforces clear principles and quality checks for writing, updating, and reviewing meaningful in-code documentation.
Sanitizes and refines documentation into production-ready text by stripping decorative AI prose and conversational residue.
Orchestrates end-to-end coding workflows from test-driven development and commenting to automated PR creation and review cycles.
Rigorously stress-tests plans, architectural designs, and project decisions through structured decision-tree interviewing before execution.
Creates and updates GitHub draft pull requests with AI-generated Japanese titles and structured descriptions from git diffs.
Automates analyzing, fixing, and replying to GitHub pull request review comments with contextual commit linking and smart thread resolution.
Executes an iterative code review and self-correction loop using sub-agents to critique diffs and fix confirmed issues.
Reviews code diffs, identifies bugs and style deviations, and outputs actionable feedback organized by severity.
Summarizes the current session into a concise handoff document tailored for seamless context transfer to the next AI agent.
Guides the creation of robust, refactor-resistant automated tests using seam boundaries, descriptive naming, and DAMP principles.
Guides test-first implementation through disciplined red-green cycles and vertical slice iterations.
The rest either hold an API key issued by the publisher or ask for nothing.
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