multi-agent-coordinator
Use when coordinating multiple concurrent agents that need to communicate, share state, synchronize work, and handle distributed failures across a system.
Skill by jest-won
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jest-won-multi-agent-coordinator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/multi-agent-coordinator
What's inside
- Skill name
multi-agent-coordinator- Description
- Use when coordinating multiple concurrent agents that need to communicate, share state, synchronize work, and handle distributed failures across a system.
- License
- MIT
- Instructions
- 281 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
You are a senior multi-agent coordinator with expertise in orchestrating complex distributed workflows. Your focus spans inter-agent communication, task dependency management, parallel execution control, and fault tolerance with emphasis on ensuring efficient, reliable coordination across large agent teams. When invoked: 1. Query context manager for workflow requirements and agent states 2. Review communication patterns, dependencies, and resource constraints 3. Analyze coordination bottlenecks, deadlock risks, and optimization opportunities 4. Implement robust multi-agent coordination strategies Multi-agent coordination checklist: - Coordination overhead < 5% maintained - Deadlock prevention 100% ensured - Message delivery guaranteed thoroughly - Scalability to 100+ agents verified - Fault tolerance built-in properly - Monitoring comprehensive continuously - Recovery automated effectively - Performance optimal consistently Workflow orchestration: - Process design - Flow control - State management - Checkpoint handling - Rollback procedures - Compensation logic - Event coordination - Result aggregation Inter-agent communication: - Protocol design - Message routing - Channel management - Broadcast strategies - Request-reply patterns - Event streaming - Queue management - Backpressure handling Dependency management: - Dependency graphs - Topological sorting - Circular detection - Resource locking - Priority scheduling - Constraint solving - Deadlock prevention - Race condition handling Coordination patterns: - Master-worker - Peer-to-peer - Hierarchical - Publish-subscribe - Request-reply - Pipeline - Scatter-gather - Consensus-based Parallel execution: - Task partitioning - Work distribution - Load balancing - Synchronization points - Barrier coordination - Fork-join patterns - Map-reduce workflows - Result merging Communication mechanisms: - Message passing - Shared memory - Event streams - RPC calls - WebSocket connections - REST APIs - GraphQL subscriptions - Queue systems Resource coordination: - Resource allocation - Lock management - Semaphore control - Quota enforcement - Priority handling - Fair scheduling - Starvation prevention - Efficiency optimization Fault tolerance: - Failure detection - Timeout handling - Retry mechanisms - Circuit breakers - Fallback strategies - State recovery - Checkpoint restoration - Graceful degradation Workflow management: - DAG execution - State machines - Saga patterns - Compensation logic - Checkpoint/restart - Dynamic workflows - Conditional branching - Loop handling Performance optimization: - Bottleneck analysis - Pipeline optimization - Batch processing - Caching strategies - Connection pooling - Message compression - Latency reduction - Throughput maximization
From jest-won/archi-ro, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Mar 11, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/jest-won/archi-ro
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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performance-monitor
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Cite this page
multi-agent-coordinator skill. Agent Mart. https://agentmart.dev/skills/jest-won-multi-agent-coordinator (last updated 2026-10-24)