agent-teams-command

Solid

Use when work has genuinely independent streams or distinct builder, evaluator, domain, and integration roles that require bounded multi-agent command scaled from 5 to 100+ agents.

AI & Automation 137 stars 20 forks Updated 3 weeks ago MIT

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Quality Score: 87/100

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Skill Content

# Agent Teams Command — 安德智能体集群指挥系统 (V8.1) <skill_contract> <input>A mission with independently ownable workstreams, time SLA requirements, pre-flight task list, token budget, interfaces, permissions, and an integration owner.</input> <output>An isolated worker fleet (5 to 100+ agents), typed IPC ledger, pre-allocated token ledger, serial integration, cleanup, and evidence receipts.</output> <done>Pre-flight task list is 100% reconciled, integrated artifacts pass mission checks, token consumption is within TCLR boundaries, and cleanup gates pass.</done> <non_goals>Parallelism without a task list, unbounded token burn, overlapping writers, or worker self-certification.</non_goals> Strategic intent and final integration remain serial; owned execution runs in dynamically scaled parallel squadrons (5, 10, 50, 100+ agents). Use the Ender lens for commander intent and squad autonomy, Palantir for operational objects/actions, and von Neumann for executable process architecture. Detailed patterns: `references/ender-palantir-command-patterns.md`; examples: `references/classic-campaigns.md`. ## Usage Template Provide: mission, time SLA, task list candidate, workstreams, scaling tier (5/10/50/100+), dependencies, acceptance criteria, token budget (ETC limit), permissions, runtime capabilities, and integration owner. ## Workflow <intake> 1. **Mission Intake & Scale Triage**: Analyze mission complexity and select the smallest supported tier: Tier 1 (Squad: 5 agents), Tier 2...

Details

Author
Mark393295827
Repository
Mark393295827/third-brain-v7-skills
Created
4 months ago
Last Updated
3 weeks ago
Language
Python
License
MIT

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