claudeception

Automatic knowledge extraction from Claude Code work sessions is done by triggering evaluation with /claudeception after uncovering non-obvious insights, which captures and stores them as shareable skills.

The SKILL.md template format for extracted LLM skills requires YAML frontmatter combined with a Markdown body, passing quality gates to ensure reusability, verifiability, and cross-project usefulness.

Skill extraction during development or debugging should be triggered after sessions with meaningful discoveries or explicit user prompts, capturing non-obvious project patterns and tool usage as shareable skills.

Managing a library of automatically extracted Claude Code skills involves using the skill library management system to store, version, and reference captured skills for future semantic retrieval.

No external dependencies are required to codify debugging insights into reusable Claude Code skills, as the extraction operates autonomously using scripts without external package requirements.

Automatic skill extraction differs from manual knowledge management by applying activation-driven workflows that autonomously codify non-obvious discoveries into verifiable, cross-project skills without manual documentation effort.