49 tagged responsible ai, measured the same way as everything else here.
Browse within: ai-product-management 41operating-model 41product-operations 41ai-governance 8cross-category 6capability-adoption-and-reuse 5context-knowledge-and-data 5evaluation-and-evidence 5governance-and-accountability 5portfolio-and-investment-choices 5product-team-workflows 5strategy-and-economic-outcomes 5
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Define evidence-based boundaries for what an AI system may do independently, with human approval, or never. Use before launch, scaling, or increasing AI authority.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Assess AI product operating-model maturity across seven categories using evidence, disagreement, and critical-gap logic. Use to identify consequential gaps and next interventions.
deanpeters/ai-product-operating-model-skills
Skill Claude CodeCodex
Turn scattered AI ambition into an evidence-aware product strategy thesis with choices, boundaries, outcomes, assumptions, and next bets. Use when direction or non-goals are unclear.
architect-4-citadell/elektra-skills
Skill Claude CodeCodex
Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously -- modify, verify, keep/discard, repeat. Supports bounded iteration via Iterations: N inline config.
architect-4-citadell/elektra-skills
Skill Claude CodeCodex
Self-healing Godspeed resume -- auto-detects phase from git/plan/commits, resumes or asks. Use when continuing from a previous session or recovering from a crash.
architect-4-citadell/elektra-skills
Skill Claude CodeCodex
Responsible AI governance skill for software development. Enforces a 7-pillar RAI framework (tenant/data isolation, PII protection, citation integrity, confidence scoring, hallucination prevention, bias mitigation, content provenance) during development. Use when building or reviewing code touching LLM pipelines…