adapt-hebbian-router
Domain: adapt · Model class: cheap
Description
Section titled “Description”Use when a user wants agent collaboration to improve automatically based on which pairings have historically produced the best results. Triggers: “agents that learn to work together”, “strengthen good agent pairs”, “Hebbian learning”, “synaptic weights for agents”, “discover which agents complement each other”, “adaptive multi-agent routing”. Also trigger when someone has 4+ agents and doesn’t know the optimal collaboration pattern, or says their orchestration “feels random” and they want it to converge on better pairings.
Purpose
Section titled “Purpose”Maintain N×N weight matrix over agent pairs. Update w[A][B]+=η×quality×co_activation; decay w*=(1-decay_rate); clamp to [floor,ceiling]. Route by softmax/greedy/ε-greedy over row w[A].
Trigger Phrases
Section titled “Trigger Phrases”- “agents that learn to work together”
- “strengthen good agent pairs”
- “Hebbian learning”
- “synaptic weights for agents”
- “discover which agents complement each other”
- “adaptive multi-agent routing”
- “feels random”
Anti-Triggers
Section titled “Anti-Triggers”- the user wants a one-off improvement without ongoing adaptation or structural change
Intake Questions
Section titled “Intake Questions”- Which agents may collaborate and how is pair quality scored?
- What learning and decay rates fit the pace of adaptation?
- Should routing exploit greedily or preserve exploration?
- How many collaboration cycles are needed before weights stabilize?
Output Contract
Section titled “Output Contract”- routing decision artifact
- configuration and telemetry summary
- next-action explanation
- validation or operator notes
Related Skills
Section titled “Related Skills”flow-orchestrator · orch-agent-orchestrator · prompt-chaining