AI Agent Skills

Execute an approved backend Work Plan autonomously through task execution, quality fixes, commits, and final verification.

Execute from codebase-scoped analysis to design document creation.

Investigate problem, verify findings, and derive solutions through structured diagnosis.

Adjust an implemented UI with focused evidence, verification, and quality checks.

Execute an approved frontend Work Plan autonomously through frontend implementation, quality fixes, commits, and final verification.

Execute from codebase-scoped analysis to frontend design document creation including UI Spec.

Create frontend work plan from design document with test skeleton generation.

Reviews completed frontend implementation for governing-source compliance, scope economy, repository quality, and security, and applies user-approved React corrections.

Execute an approved fullstack Work Plan autonomously with layer-aware task routing, quality fixes, commits, and final verification.

Run the full-cycle implementation workflow for one outcome spanning backend and frontend layers.

Orchestrate the complete implementation lifecycle from requirements through verified repository implementation.

Creates a reviewed Work Plan with value-filtered integration/E2E test skeletons. Use when planning implementation from a Design Doc.

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Use when implementing any feature or bugfix, before writing implementation code

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

Use when you have a spec or requirements for a multi-step task, before touching code