agentic-learning

agentic-learning is a Tutoring & exam preparation skill for AI agents, published by FavioVazquez in the learnship repository on GitHub. Skillspace rates agentic-learning D (69/100) and it passed the safety scan; the rating is based on static analysis only.

A learning partner skill grounded in neuroscience and philosophy. Use when you want to actually learn a concept (not just get an answer), quiz yourself on a codebase, reflect on what you built, brainstorm a design collaboratively, practice productive struggle on a hard problem, journal a decision with its alternatives and consequences, or schedule concepts to revisit later. Invoke with @agentic-learning followed by one of: learn, quiz, reflect, space, brainstorm, explain-first, struggle, either-or, explain, interleave, or cognitive-load.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
56

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
78 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
MIT
Adoption
Adopted by 2 other repositories, in 0 collections
Scope
Portable: works in any project. General neuroscience-based learning partner techniques

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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