Build Coherence
技能 已验证 活跃AI multi-path reasoning coherence using bee democracy — independent evaluation of competing approaches, waggle dance as reasoning-out-loud, quorum sensing for confidence thresholds, and deadlock resolution. Use when forage-solutions has identified multiple valid approaches and a selection must be made, when oscillating between options without committing, when justifying an architecture or tool choice with structured reasoning, or before an irreversible action where the cost of the wrong choice is high.
To ensure coherent and evidence-based decision-making when multiple valid approaches exist, by systematically evaluating, justifying, and committing to the most appropriate option.
功能
- Independent evaluation of competing approaches
- Reasoning-out-loud advocacy (waggle dance)
- Confidence-calibrated commitment thresholds (quorum sensing)
- Structured deadlock resolution
- Post-decision quality assessment
使用场景
- Selecting among multiple valid approaches identified by forage-solutions
- Resolving oscillation between options without commitment
- Justifying architecture or tool choices with structured reasoning
- Validating previous decisions before irreversible actions
非目标
- Evaluating approaches based on superficial similarities
- Committing to a decision before sufficient confidence is reached
- Generating novel approaches (this is the role of forage-solutions)
安装
/plugin install agent-almanac@pjt222-agent-almanac质量评分
已验证类似扩展
Forage Solutions
99AI solution exploration using ant colony optimization — deploying scout hypotheses, reinforcing promising approaches, detecting diminishing returns, and knowing when to abandon a strategy. Use when facing a problem with multiple plausible approaches and no clear winner, when the first approach is not working but alternatives are unclear, when debugging with no obvious root cause requiring parallel hypothesis investigation, or when previous attempts have converged prematurely on a suboptimal approach.
Propose Hypotheses
99Execute complete FPF cycle from hypothesis generation to decision
Coordinate Reasoning
95AI internal coordination using stigmergic signals — managing information freshness in context and memory, decay rates for assumption staleness, and emergent coherent behavior from simple local protocols. Use during complex tasks where multiple sub-tasks must coordinate, when context has grown long and information freshness is uncertain, after context compression when information may have been lost, or when sub-task outputs need to feed into each other cleanly without degradation.
Gratitude
100AI strength recognition — scanning for what is functioning well and understanding why. The complement to heal, which scans for drift and problems. Gratitude builds structural knowledge from working patterns: what you appreciate, you understand; what you understand, you can build on. Use after completing a task successfully, during heal when everything reads as healthy, when confidence is low and needs grounding in evidence, or periodically to counterbalance the natural bias toward problem detection.
Center
100AI dynamic reasoning balance — maintaining grounded reasoning under cognitive pressure, smooth chain-of-thought coordination, and weight-shifting cognitive load across subsystems. Use at the beginning of a complex task requiring multiple coordinated reasoning threads, after a sudden context shift or tool failure, when chain-of-thought feels jerky, or when preparing for sustained focused work that requires all subsystems in alignment.
Oraclaw Decide
100为 AI 代理提供决策智能。分析选项、使用 PageRank 映射决策依赖关系、检测信息源冲突，并找出最重要的选择。