Instructions file CodexOpenCode
Instructions for dlxeva/fde-operator-os, covering agents.md, mission, read first, repository architecture and hard boundaries.
11 22d ago A 1,460 tokens
original MIT
Skill Claude CodeCodex
Applied AI operator system for delivery leads who need to qualify an AI opportunity, reconstruct operational reality, design a minimum viable loop, pass production-readiness gates, and return field learning into reusable delivery and product assets. Use for full-cycle FDE judgment, state-action-evidence framing, pilot…
11 22d ago A 78 tokens
original MIT
fde
03Skill Claude CodeCodex
Alias for $fde-operator-os (Applied AI Operator OS).
11 22d ago A 15 tokens
original MIT
Skill Claude CodeCodex
Lightweight Applied AI skill for deciding whether a bounded AI loop is ready for live operator work, and for rescuing deployments with adoption, reliability, governance, or day-2 failures.
11 22d ago A 41 tokens
original MIT
Skill Claude CodeCodex
Lightweight Applied AI qualification skill for deciding whether an opportunity is worth pursuing and what proof path would make it credible.
11 22d ago A 28 tokens
original MIT
Skill Claude CodeCodex
Lightweight Applied AI skill for compressing a bounded loop into a credible pilot with acceptance, eval, governance, fallback, and production-readiness handoff.
11 22d ago A 35 tokens
original MIT
Skill Claude CodeCodex
Lightweight Applied AI skill for reconstructing how work actually happens through operational reality, case replay, and evidence sufficiency gating.
11 22d ago A 30 tokens
original MIT