An operator-grade Codex skill for forward deployed engineers and applied AI delivery leads to qualify AI opportunitie...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
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 unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Codex
Model
Multiple
Fastest way to find out if fde-operator-os 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/dlxeva/fde-operator-osRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/dlxeva/fde-operator-osNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ fde-operator-os/ ← installs here └─ settings.json
An operator-grade Codex skill for forward deployed engineers and applied AI delivery leads to qualify AI opportunities, model real-world operations, and design delivery-ready pilot loops.
Source: GitHub repository
Source check: No source check recorded
Repository state: Not marked archived
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