learning-opportunities
learning-opportunities is a Tutoring & exam preparation skill for AI agents, published by DrCatHicks in the learning-opportunities repository on GitHub. Skillspace rates learning-opportunities B (81/100) and it passed the safety scan; a judge model has also reviewed it.
Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Supports the user's stated goal of understanding design choices as learning opportunities.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 2,281
Placed #4 of 6 in the judged category final for Tutoring & exam preparation.
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- CC-BY-4.0
- Adoption
- Adopted by 2 other repositories, in 2 collections
- Scope
- Portable: works in any project. General learning exercises during AI-assisted coding, any project
Judge review
Placed #4 of 6 in the judged category final for Tutoring & exam preparation.
- Trigger
78 78 - Instructions
90 90 - Specificity
87 87 - Safety
90 90 - Disclosure
52 52 - Maintenance
42 42
Disciplined pause-for-input pedagogy with concrete exercise templates and a hard stop rule; rationale lives in an external hosted doc rather than a bundled reference.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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