dialectical-autocoder
Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
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Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
Generate comprehensive pre-launch checklist of user stories, acceptance criteria, and smoke tests to validate before going live in production.
Process a task list one sub-task at a time with pause/confirm gates, test/commit protocol, and file tracking.
Process tasks using async background subagents for massive parallelization and speedup.
Generate comprehensive E2E test plans from PRDs, task lists, or descriptions with environment-aware prerequisites and issue tracking.
Process tasks autonomously with automated PR reviews and gap analysis after each PR creation/commit.
Create a clear, actionable PRD with clarifying questions and a junior-friendly structure.
Process a task list one sub-task at a time with pause/confirm gates, test/commit protocol, and file tracking.
Create and update CHANGELOG.md with entries that include AI model/CLI attribution, PRD context, and task references.
Generate standalone user stories for features without creating a full PRD. Perfect for backlog grooming and story refinement.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Process a task list one sub-task at a time with pause/confirm gates, test/commit protocol, and file tracking.
Process tasks autonomously with automated PR reviews and gap analysis after each PR creation/commit.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Generate comprehensive E2E test plans from PRDs, task lists, or descriptions with environment-aware prerequisites and issue tracking.
Generate high-level tasks and gated sub-tasks from a PRD, with agent assignments, commit/PR strategy, and relevant files.
Generate operational runbooks documenting what needs to be running locally and in production for effective system testing and deployment.
Process tasks using async background subagents for massive parallelization and speedup.
Create and update CHANGELOG.md with entries that include AI model/CLI attribution, PRD context, and task references.
Map user flows and journeys through your application for UX design and workflow visualization, independent of testing.
Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
Applying consistent visual design to HTML tools in this repository. Use when creating new tools, updating UI components, or adding buttons/icons/controls. Based on Vercel Geist design system with Claude app inf...
Analyze and improve the AI agent workforce system, ensuring compatibility across environments (CLI, IDE, GitHub) and leveraging emerging technologies.
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