aggregate-logs
Generate LEARNINGS.md from skill execution logs over a configurable time window.
Analyze skill file complexity metrics and generate modularization recommendations for splitting or progressive loading.
> /plugin marketplace add athola/claude-night-marketHow it fires
How this command gets triggered: by you, by Claude, or both.
/analyze-skillContext preview
What this command does when you run it.
Analyze skill file complexity metrics and generate modularization recommendations for splitting or progressive loading.
name: analyze-skill description: Analyze skill file complexity metrics and generate modularization recommendations for splitting or progressive loading. usage: /analyze-skill [skill-path]
Analyzes a skill file for complexity metrics and provides modularization recommendations based on the modular-skills framework.
Use this command when you need to:
Avoid this command if:
# Analyze specific skill file /analyze-skill skills/my-skill/SKILL.md # Analyze skill directory /analyze-skill skills/my-skill # Analyze current directory (if in a skill folder) /analyze-skill .
The analyzer evaluates several complexity dimensions:
/analyze-skill skills/modular-skills/SKILL.md # Output: # === Analysis for: skills/modular-skills/SKILL.md === # Line count: 180 (threshold: 150) # Estimated tokens: 1,847 # === Recommendations === # MODULARIZE: File exceeds threshold (180 > 150) # GOOD: Token usage in optimal range /analyze-skill skills/skills-eval --verbose # Includes detailed section breakdown
This command is the first step in the modular-skills workflow:
1. **Analyze** → Use this command to assess complexity 2. **Design** → Plan module structure based on recommendations 3. **Estimate** → Use `/estimate-tokens` for token budgeting 4. **Validate** → Use `/skills-eval` for quality checks
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/skill_analyzer.py --file "${1:-.}"A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
Generate LEARNINGS.md from skill execution logs over a configurable time window.
Scaffold new Claude Code skills with brainstorming, TDD methodology, and proper frontmatter and module structure.
Manually evaluate a recent skill execution to record qualitative feedback.