multi-agent-orchestration

Solid

Design and operate bounded multi-agent workflows with task decomposition, dependency graphs, ownership, handoff contracts, shared-state controls, approvals, recovery, and synthesis. Use when a task contains genuinely independent workstreams, specialized roles, parallel research or implementation, reviewer-worker loops, or coordination problems that one agent should not execute sequentially.

AI & Automation 161 stars 32 forks Updated 1 weeks ago MIT

Install

View on GitHub

Quality Score: 84/100

Stars 20%
74
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Multi-Agent Orchestration Use multiple agents only when specialization or safe parallelism outweighs coordination cost. ## Use when - Split a large objective into independent, verifiable workstreams. - Coordinate specialists that need distinct tools, permissions, or context. - Run worker-reviewer, planner-executor, map-reduce, or bounded debate patterns. - Diagnose duplicate work, conflicting edits, weak handoffs, or stalled dependencies. Do not delegate a tightly coupled, small, or inherently sequential task merely to increase agent count. ## Inputs Collect the objective, completion criteria, task graph, available agents and tools, concurrency limits, shared files or systems, authority boundaries, deadlines, budget, and final decision owner. State assumptions and unresolved dependencies. ## Output contract Produce: 1. A decomposition rationale and explicit non-goals. 2. A directed acyclic task graph with owner, dependencies, inputs, output contract, write scope, and verification for every task. 3. A handoff protocol and shared-state policy. 4. Approval points, timeout and retry limits, escalation routes, and stop conditions. 5. A synthesis plan that resolves disagreements and verifies the integrated result. 6. A completion report with evidence, remaining uncertainty, and unused or failed branches. ## Workflow 1. Define one measurable objective and the authority boundary before assigning work. 2. Decompose by separable outputs, not vague roles. Keep shared mutabl...

Details

Author
seb1n
Repository
seb1n/awesome-ai-agent-skills
Created
6 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category