Mostly efficient, but trigger guidance is repeated across the description, 'When to Extract', 'Automatic Triggers', and 'Self-Reflection Prompts', and the 'Core Principle' reiterates the intro, so it could be tightened.

Provides concrete, executable tool calls (search_thoughts, capture_thought), decision tables mapping outcomes to actions, a fill-in skill template, and a full worked example — copy-paste ready guidance.

The Extraction Process is sequenced as Steps 1–7 with explicit validation checkpoints (search-before-create gates, a final quality-gate checklist) and error-recovery decision tables.

Well-sectioned but a single monolithic file with no reference offloading; the large skill template and worked example are inline and could be split into reference files for a body of this length.

Lists multiple concrete actions — 'extracts reusable knowledge from work sessions', 'Creates new skills', 'Integrates with Open Brain to prevent duplicates' — rather than vague language, matching the multiple-specific-actions anchor.

Clearly answers what ('extracts reusable knowledge... Creates new skills') and when via an explicit 'Triggers:' clause, so the 'Use when' cap does not apply.

Phrases like '/aiception command', "'save this as a skill'", "'what did we learn?'", and 'after non-obvious debugging' are natural things users would actually say, giving good trigger coverage.

The niche (codifying session learning into new skills) with distinctive triggers like '/aiception' and 'save this as a skill' is unlikely to fire for unrelated skills.