tody-agent

Ultimate Design System Intelligence. Manage, extract, replicate, and improve UI design systems. Extracts design tokens visually from existing sites (Harvester v5), manages multi-page tokens, and utilizes MCP servers like Google Stitch and Pencil.dev to generate complete, consistent design systems (Shadcn UI, Halo, Lunaris, Nitro). Use when the user asks to "extract design from a URL", "create a Sh

Verify and lock project identity before ANY git push, Cloudflare deploy, or Supabase operation. Essential when working with multiple GitHub accounts (personal + work), multiple Cloudflare accounts, or multiple Supabase/Neon projects. Prevents wrong-account deploys, cross-project secret leaks, and git history contamination.

Easy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.

Full review lifecycle — request reviews, handle feedback with technical rigor, and complete branch integration. Use when completing tasks, receiving feedback, or finishing feature branches.

A template demonstrating the universal format compatible with Antigravity, Claude, Cursor, and OpenClaw.

[Deprecated] discovery and meta-skill merged. Use `cm-skill-index` instead.

[Deprecated] UI preview is part of design system. Use `cm-design-system` instead.

A template demonstrating the universal format compatible with Antigravity, Claude, Cursor, and OpenClaw.

Optional power-up — detects oversized codebases/docs and suggests tobi/qmd for local semantic search. Bridges cm-continuity (working memory) with long-term document retrieval. Zero-config detection, non-intrusive suggestion.

Use to run the full sprint pipeline: brainstorm → plan → design → tdd → build → review → qa → security → ship → monitor → retro.

Unified code intelligence — Skeleton Index (zero-dep, <4s) + AST knowledge graph (CodeGraph) + architecture diagrams (Mermaid) + smart context builder. Pre-indexes code structure so AI agents understand any codebase instantly. 95% token compression for onboarding. 30% fewer tokens for deep analysis.

Full review lifecycle — request reviews, handle feedback with technical rigor, and complete branch integration. Use when completing tasks, receiving feedback, or finishing feature branches.