adaptive-learning

Suggests learning analysis after code reviews

181 stars

Best use case

adaptive-learning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Suggests learning analysis after code reviews

Teams using adaptive-learning should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/adaptive-learning/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/adaptive-learning/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/adaptive-learning/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How adaptive-learning Compares

Feature / Agentadaptive-learningStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Suggests learning analysis after code reviews

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Adaptive Learning Skill

**Prompts after review:** Run `/piv-speckit:learn`

Captures patterns to improve framework over time.

`Read .claude/reference/skills-full/adaptive-learning-full.md`

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