failure-learninglisted

# Failure Learning ## Core principle Save reusable conclusions and recovery, never full debugging transcripts or hidden reasoning. ## Procedure 1. Name the observable symptom. 2. State the evidenced root cause. 3. Record the evidence source and successful recovery. 4. Describe how to detect the pattern earlier. 5. Check stability, reuse value, and future token savings. 6. Store it in failure-patterns or lessons, or reject promotion. ## Required output Symptom, root cause, evidence, recovery, early signal, and memory destination. ## Limits One concise entry per reusable pattern. ## Common mistakes Do not save temporary errors, speculative diagnoses, giant output, or raw chain-of-thought. ## Stop condition Stop when the reusable lesson is stored concisely or judged too temporary.