reflection-injection
SolidInject relevant past reflections into agent context at iteration start so agents learn from prior mistakes without repeating them
Install
Quality Score: 90/100
Skill Content
Details
- Author
- jmagly
- Repository
- jmagly/aiwg
- Created
- 9 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
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ralph-reflect
View and manage agent loop reflections and episodic memory
reflect
Analyzes conversation transcripts to extract user corrections, patterns, and preferences, then proposes skill improvements. Use this skill when users provide corrections, express preferences about code style, or when patterns emerge from successful approaches. Can be triggered manually with /reflect or automatically at session end when enabled.
reflect
Analyzes conversation transcripts to extract user corrections, patterns, and preferences, then proposes skill improvements. Use this skill when users provide corrections, express preferences about code style, or when patterns emerge from successful approaches. Can be triggered manually with /reflect or automatically at session end when enabled.
reflect
CRITICAL learning capture. Extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes and preserve what works. Use PROACTIVELY after user corrections ("no", "wrong"), after praise ("perfect", "exactly"), when discovering edge cases, or when skills are heavily used. Without reflection, valuable learnings are LOST forever. Acts as continuous improvement engine for all skills. Invoke EARLY and OFTEN - every correction is a learning opportunity.
reflect
Self-improvement through conversation analysis. Extracts learnings from corrections and success patterns, permanently encoding them into agent definitions. Philosophy - Correct once, never again.