Reflexion
Plugin Warning ActiveCollection of commands that force LLM to reflect on previous response and output. Based on papers like Self-Refine and Reflexion. These techniques improve the output of large language models by introducing feedback and refinement loops.
To significantly enhance the quality, predictability, and accuracy of LLM outputs by integrating advanced reflection, critique, and memory update mechanisms.
Features
- Automatic reflection triggered by keywords
- Commands for self-reflection, critique, and memory curation
- Integration with Agentic Context Engineering (ACE)
- Multi-agent debate and LLM-as-a-Judge for critique
- Session data persistence for hook analysis
Use Cases
- Improving code generation quality through iterative refinement
- Ensuring LLM outputs strictly adhere to requirements
- Creating evolving knowledge bases for AI agents
- Automating quality assurance for LLM-generated content
Non-Goals
- Automatically fixing identified issues without user/LLM approval
- Providing generic LLM features not related to output improvement
- Replacing the core LLM's reasoning capabilities
License
- critical:License usabilityThe plugin is licensed under GPL-3.0, which is a strong copyleft license that may restrict its use in commercial or proprietary software without careful consideration and compliance.
Installation
First, add the marketplace
/plugin marketplace add NeoLabHQ/context-engineering-kit/plugin install reflexion@context-engineering-kitContains 3 extensions
Skill (3)
Comprehensive multi-perspective review using specialized judges with debate and consensus building
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
Quality Score
WarningTrust Signals
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