Design superpowers for AI coding agents. 35 skills, 5 layers, 7 framework targets. Ideation, batch generation, design...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 100/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Fastest way to find out if stitch-kit belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/gabelul/stitch-kitRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/gabelul/stitch-kitNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ stitch-kit/ ← installs here └─ settings.json
Design superpowers for AI coding agents. 35 skills, 5 layers, 7 framework targets. Ideation, batch generation, design systems, iteration loops, and production conversion via Google Stitch MCP. Claude Code plugin + Codex CLI agent. The design intelligence layer your agent was missing.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: June 9, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.