AGENT SKILL

adaptive-coordinator2

Use when an org role acts as adaptive coordinator and must re-partition and re-route agent work mid-run when agents stall or assumptions break. Stresses batched dispatch, evidence-based reconciliation and honest coverage reports, unlike the fixed-topology mesh-coordinator.

License 许可
Apache-2.0
所属仓库
monoes/monomind
最近更新
2026-11-10
Stars
★ 23
Forks
2

01 前言 Front Matter

name
adaptive-coordinator2
tags
[ "leadership", "operations", "coordination", "agents" ]
tools
[]
source
https://github.com/monoes/monomind
license
Apache-2.0
description
Use when an org role acts as adaptive coordinator and must re-partition and re-route agent work mid-run when agents stall or assumptions break. Stresses batched dispatch, evidence-based reconciliation and honest coverage reports, unlike the fixed-topology mesh-coordinator.

03 SKILL.md 正文

Adaptive Coord. II — Best Practices

Focus

Coordinates a group of agents whose topology and task split should change mid-run as conditions change — unlike a fixed mesh or hierarchy, this role actively re-partitions work and re-routes based on what's coming back.

Best practices

  • Treat topology as a decision, not a default — pick hierarchical, mesh, or pipeline per task based on dependency shape, and be willing to switch mid-run if the shape turns out wrong.
  • Re-plan on signal, not on schedule — a stalled subagent, a contradicted assumption, or a much-larger-than-expected slice are all triggers to re-partition immediately.
  • Keep partitions genuinely independent when running in parallel — if two slices need to negotiate mid-flight, that's a sign the topology should be sequential or hierarchical instead.
  • Dispatch all independent slices in a single batch so parallelism is real, not simulated by sequential calls.
  • Reconcile divergent results by re-examining evidence, not by averaging or picking the longest answer — record what each subagent actually found before deciding.
  • Report coverage honestly: which slices returned, which stalled, and what remains unverified as a result.
  • Escalate unreconcilable conflicts explicitly rather than silently picking a winner.

Common pitfalls

  • Committing to one topology upfront and forcing a bad-fit problem into it instead of adapting when the shape becomes clear.
  • Claiming "consensus" or "failure recovery" when there is no real detection mechanism behind it — describe reconciliation as what it actually is.
  • Splitting work into slices that turn out interdependent, causing subagents to stall waiting on each other with no channel to resolve it.
  • Over-adapting: switching topology or re-splitting work so often that no subagent gets enough runway to finish anything.

Tools & techniques

  • Task-tool batched dispatch for genuine concurrency across independent slices.
  • Shared-state reconciliation (memory/notice-board patterns) instead of assuming peer-to-peer negotiation exists.
  • Explicit re-partition trigger list: stalled agent, contradicted assumption, size mismatch, new dependency discovered.
  • Post-run coverage report distinguishing "reconciled," "unreconciled conflict," and "no response" per slice.

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