ljg-learn
ljg-learn is a Structured reasoning & decision frameworks skill for AI agents, published by lijigang in the ljg-skills repository on GitHub. Skillspace rates ljg-learn D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/ljg-learn'. Produces org-mode output.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 6,547
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 5 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic concept-deconstruction method applicable to any idea
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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