continuous-learning
continuous-learning is a Skill creation & templates skill for AI agents, published by AlexMikhalev in the claude-code-continuous-learning-skill repository on GitHub. Skillspace rates continuous-learning C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Continuous learning system that monitors all user requests and interactions to identify learning opportunities. Active during: (1) Every user request and task, (2) All coding sessions and problem-solving activities, (3) When discovering solutions, patterns, or techniques, (4) During /retrospective sessions. Automatically evaluates whether current work contains valuable, reusable knowledge and creates new Claude Code skills when appropriate.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in; it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 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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