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Tree Of Thoughts

技能 已验证 活跃

Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation

目的

To provide a structured and systematic approach for tackling complex reasoning tasks that require exploring multiple solution paths before committing to a final implementation.

功能

  • Systematic exploration of solution space
  • Pruning of unpromising branches
  • Expansion of viable approaches
  • Meta-judge evaluation specifications
  • Multi-agent evaluation and synthesis

使用场景

  • Tackling complex coding challenges requiring exploration of different architectural patterns.
  • Designing novel algorithms where multiple approaches need to be evaluated.
  • Synthesizing best solutions from diverse ideas in research and development.
  • Generating detailed technical specifications through iterative refinement and evaluation.

非目标

  • Performing simple, direct tasks that do not benefit from multi-path exploration.
  • Replacing human decision-making entirely; acts as an AI assistant.
  • Providing generic code generation without a structured reasoning process.

工作流

  1. Phase 1: Exploration (Propose Approaches) by 3 independent agents.
  2. Phase 1.5: Dispatch Pruning Meta-Judge to generate criteria.
  3. Phase 2: Pruning (Vote for Top 3 Candidates) by 3 independent judges.
  4. Phase 2b: Select Top 3 Proposals based on aggregated votes.
  5. Phase 3: Expansion (Develop Full Solutions) by 3 independent agents.
  6. Phase 3.5: Dispatch Evaluation Meta-Judge to generate criteria.
  7. Phase 4: Evaluation (Judge Full Solutions) by 3 independent judges.
  8. Phase 4.5: Adaptive Strategy Selection (SELECT_AND_POLISH, REDESIGN, or FULL_SYNTHESIS).
  9. Phase 5: Synthesis (if FULL_SYNTHESIS selected) - Combine best elements.

实践

  • Agent Orchestration
  • Structured Reasoning
  • Meta-Evaluation

安装

请先添加 Marketplace

/plugin marketplace add NeoLabHQ/context-engineering-kit
/plugin install sadd@context-engineering-kit

质量评分

已验证
95 /100
1 day ago 分析

信任信号

最近提交9 days ago
星标993
许可证GPL-3.0
状态
查看源代码

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