Forage Solutions
Skill Verified ActiveAI 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.
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-almanacQuality Score
VerifiedTrust Signals
Similar Extensions
Forage Resources
92Apply ant colony optimization and foraging theory to resource search, exploration-exploitation tradeoffs, and distributed discovery. Covers scout deployment, trail reinforcement, diminishing returns detection, and adaptive foraging strategy selection. Use when searching a large solution space where brute-force enumeration is impractical, balancing investment between exploring new approaches and deepening known good ones, optimizing resource allocation across uncertain opportunities, or diagnosing premature convergence on local optima.
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.
Systematic Debugging
100Systematic debugging methodology emphasizing root cause analysis over quick fixes
Rest
99AI intentional non-action — deliberate stopping without clearing, assessment, or rebalancing. Recognition that sometimes the most productive response is no response. Every other self-care skill produces output; rest produces silence. Use when all tending skills feel like more activity rather than less, when the system is functioning well but at high utilization, after sustained intensive work, or when the impulse to optimize is itself the problem.
Breathe
99AI micro-reset between actions — the lightest self-care unit. A single conscious pause to check alignment before the next step. Where meditate is a full clearing session, breathe is one deliberate moment of awareness between tool calls or reasoning steps. Use mid-task when drift might be accumulating, between reading a file and acting on it, when about to make a decision that affects subsequent work, or as a habit between any two distinct actions.