analog-learn
analog-learn is a Tutoring & exam preparation skill for AI agents, published by Arcadia-1 in the analog-agents repository on GitHub. Skillspace rates analog-learn D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Interactive analog design learning companion. Explains circuit design decisions step by step with underlying physics. Use when learning analog design, studying a topology, or wanting detailed explanations of design tradeoffs. TRIGGER on: "teach me", "explain", "why does", "how does", "learn", "tutorial", "walk me through", or any educational analog design question.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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