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Forage Solutions

技能 已验证 活跃

AI 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.

目的

To provide a structured, evidence-based approach for exploring complex problem spaces when multiple solutions are plausible or when initial attempts fail.

功能

  • Deploys scout hypotheses to explore solution space
  • Reinforces promising approaches based on evidence
  • Detects diminishing returns and knows when to abandon strategies
  • Classifies solution landscape (concentrated, distributed, ephemeral, nested)
  • Provides clear inputs, procedures, and validation steps

使用场景

  • When facing a problem with multiple plausible approaches and no clear winner
  • When the first approach tried is not working but alternatives are unclear
  • Debugging with no obvious root cause requiring parallel hypothesis investigation
  • When previous solution attempts have converged prematurely on a suboptimal approach

非目标

  • Deep exploitation of a single hypothesis without exploring alternatives
  • Endless scouting without committing to a chosen strategy
  • Ignoring evidence-based signals to abandon a failing path

安装

/plugin install agent-almanac@pjt222-agent-almanac

质量评分

已验证
99 /100
about 23 hours ago 分析

信任信号

最近提交2 days ago
星标14
许可证MIT
状态
查看源代码

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