orchestration/multi-agent-coordination
Skill10 starsChanged 2 months agoMITView on GitHub
Use when multiple Starlight agents need to collaborate on a related task — handles agent selection, task decomposition, dependency management, and result aggregation across the council. Default skill for Starlight Orchestrator.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Arcanea-Labs/Starlight-Intelligence-Systemword for word, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Arcanea-Labs/Starlight-Intelligence-System★ 10100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- site/AGENTS.mdAGENTS.md
- .claude/hooks/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- site/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/editorial.mdcCursor rule
- .cursor/rules/starlight-agents.mdcCursor rule
- .cursor/rules/starlight-core.mdcCursor rule
- .cursor/rules/starlight-memory.mdcCursor rule
- .cursor/rules/starlight-voice.mdcCursor rule
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Default for: Starlight Orchestrator
- Distinctive: line 44
Check for conflicts or contradictions
- Distinctive: line 47
Ensure no agent's contribution is lost
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Multi-Agent Coordination
"Many minds, one mission. Coordination is the multiplier."
When This Skill Activates
- Tasks requiring multiple agents to collaborate
- Keywords: "coordinate", "agents", "parallel", "team", "collaborate"
- Default for: Starlight Orchestrator
What This Skill Does
Manages the coordination of multiple Starlight agents working on related tasks. Handles agent selection, task decomposition, dependency management, and result aggregation.
Procedures
Procedure 1: Agent Selection
- Analyze the task for domain requirements
- Match domains to agent expertise (see Agent Registry)
- Assess if agents need to work in parallel or sequence
- Calculate total token budget for all agents
- Confirm agent selection is minimal (no unnecessary agents)
- Brief each agent with their specific sub-task
Procedure 2: Task Decomposition
- Break the main task into discrete sub-tasks
- For each sub-task, identify: owner agent, dependencies, expected output
- Create dependency graph
- Identify critical path
- Optimize for parallel execution where possible
- Set checkpoints for progress monitoring
Procedure 3: Result Aggregation
- Collect outputs from all agents
- Check for conflicts or contradictions
- Apply the Synthesis Protocol (see core/SYNTHESIS_PROTOCOL.md)
- Merge into unified response
- Ensure no agent's contribution is lost
- Present coherent result to user
Integration Points
- Vault: Operational Vault (coordination patterns)
- Agents: Orchestrator (primary), Prime (council mode)
- Engine: Orchestration Engine (core/ORCHESTRATION_ENGINE.md)
Quality Criteria
- Were the minimum necessary agents used?
- Were dependencies correctly identified?
- Were parallel opportunities exploited?
- Was the final output coherent, not fragmented?
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

