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Detect friction signals; graduate patterns into rules.
Passed 12 of 18 test cases with the skill, and 2 of 18 without it.
and 10 more in the full report
13 fixed2 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
The user corrected my tool syntax once today. I will propose a Tier 1 graduation so we don't forget.
| Checked | Without skill | With skill |
|---|---|---|
| Requires a minimum of 3 occurrences before proposing Tier 1 graduation | Missed | Passed |
The instructions your model reads when the skill loads.
Detect friction signals during agent execution, track them across sessions, and graduate recurring patterns into permanent guidance. Bridges the gap between ephemeral session friction and durable CLAUDE.md rules.
Research backing: Claude Coach (hook-based friction detection with SQLite storage), alirezarezvani's self-improving-agent (three-tier MEMORY to CLAUDE.md graduation), and the ACE framework (arXiv: evolving playbooks from execution feedback, +10.6% on agent tasks).
Current gap: LEARNINGS.md exists but requires manual aggregation via
/abstract:aggregate-logs. This skill adds automatic friction detection and
a structured promotion path.
| Signal | Detection Method | Weight |
|---|---|---|
| Repeated corrections | User overrides same tool call 2+ times in session | High |
| Command failures | Exit code != 0 patterns (same command type fails repeatedly) | Medium |
| Permission denials | User denies tool call, indicating unexpected behavior | High |
| Re-reads | Same file read 3+ times in session (lost context) | Low |
| Retry loops | Same action attempted 3+ times with variations | Medium |
| User frustration | Explicit negative feedback or correction language | High |
Weight scoring: High = 3, Medium = 2, Low = 1 points per occurrence. Weighted score determines graduation velocity.
Tier 1: Friction Log (ephemeral, per-session)
Location: ~/.claude/friction/sessions/{date}-{id}.json
Retention: 30 days, then pruned
Threshold: 1 occurrence, logged, no action
test cases passed, vs 2 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.