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Forage Solutions

Skill Verified Active

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.

Purpose

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

Features

  • 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

Use Cases

  • 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

Non-Goals

  • 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

Installation

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

Quality Score

Verified
99 /100
Analyzed about 19 hours ago

Trust Signals

Last commit1 day ago
Stars14
LicenseMIT
Status
View Source

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