agentic-coding

Standardize the verification of implemented GitHub issues on the development environment.

Perform performance testing and review of specific pages, identifying and fixing bottlenecks.

Parse downloaded Figma design JSON files and CSS layer data to generate Tailwind CSS layout classes, fonts, borders, and colors, with component-to-layer mapping and Storybook validation.

Compare a live component implementation with its original Figma design frame, validating rendering and alignment in Storybook iteratively until pixel-perfect results are achieved.

End-to-end automation for the full GitHub issue lifecycle. Use this when the user provides a feature request or bug report and wants to go from zero to a reviewed and refined Pull Request in one autonomous process.

Create a detailed GitHub issue using the mandatory template for new features or complex changes.

Refine an existing GitHub issue to improve clarity, technical implementation details, and alignment with project rules.

Resolve a GitHub issue locally, covering context setup, branching, planning, implementation, verification, and PR creation.

Add a sub-issue to an existing GitHub main issue using the GitHub API.

Interactively set up project configurations, stakeholders for @mentions, environment variables (tokens for Figma, GitHub), and configure MCP servers for the user's chosen agentic CLI.

Resolve review findings from local code reviews or remote Pull Request comments sequentially, ensuring comprehensive resolution through root-cause analysis and local pre-review inside an isolated Git Worktree.

Review code changes on the current branch with extreme, uncompromising senior-architect-level intensity for correctness, security, performance, and project-specific rule compliance.

Extensively review a GitHub Pull Request using the GitHub MCP, ensuring strict adherence to project mandates and identifying cross-file issues. Automatically request changes or approve based on finding severity.