AI Transfer Quality Control

Router for quality-control AI-transfer techniques: claim/evidence gates, preflight, critique loops, provenance, context gating, root cause, attribution, triangulation, proofreading marks. Use when verifying or hardening AI outputs. Scope boundary: full catalog → `ai-transfer-ecosystem-primer`.

CatCorner22 Updated

File contents

AI transfer — quality control

Router for category: quality control.

Skills in this category

  • double-entry-claims
  • pipeline-preflight
  • progressive-resistance-critique
  • chain-of-custody-provenance
  • sterile-cockpit-context
  • five-whys-failure-recovery
  • journalistic-attribution
  • survey-triangulation
  • proofreading-marks

When to use this category

Load when the failure mode matches quality-control — see individual skills for implementation specs.

Up

ai-transfer-ecosystem-primer

CatCorner22/Cursor_Skills/tree/main/skills/ai-transfer/ai-transfer-quality-control commit 333c22c4f4

Frequently asked questions

npx skillmds@latest add catcorner22/ai-transfer-quality-control