The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (disc...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
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 71/100. 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 agent-ready-repo 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/eugenelim/agent-ready-repoRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/eugenelim/agent-ready-repoNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ agent-ready-repo/ ← installs here └─ settings.json
The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated packs: skills, subagents, and hooks, each installed in one line. It's npm for your coding agent. Any agent, any stack — Claude Code, Codex, Cursor, Copilot, Gemini, Kiro.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 18, 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.