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    multi-agent-coordinator

    by Roy Yuen

    Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.

    Updated May 2026
    120 views
    Security scanned

    $7

    One-time purchase

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Decompose ambiguous projects into actionable sub-tasks for specialized agents
    • Delegate parallel development tracks to accelerate engineering cycles
    • network automation included
    • Ready for Claude Code
    • Instant install

    See it in action

    Roles: Planner, Researcher, Implementer, Verifier.
Action: Isolated race condition in auth.ts.
Verified: log_output_v2.txt confirms 4ms timeout resolution.
Inferred: Possible regression in legacy node-14 clusters.
Unknown: Exact memory leak floor.
Next: Deploy patch to staging-v12.

    About This Skill

    Orchestrate Highly Complex AI Workflows

    Modern AI agents often struggle with "tunnel vision" when tackling large-scale engineering tasks. The Multi-Agent Coordinator skill solves this by transforming your agent into a project manager capable of breaking down complex, ambiguous, or high-risk tasks into specialized, narrow agent roles. Instead of one agent trying to do everything at once, this skill provides a framework for parallel processing and independent validation.

    What it does

    The skill provides a rigorous methodology for triaging tasks and deploying specialized "roles"—such as Planners, Researchers, Implementers, Reviewers, and Verifiers. It ensures that work is sequenced correctly, evidence is shared without corruption, and conflicts are resolved through evidence-backed synthesis.

    • Role Selection: Dynamically assigns the smallest effective team (from Planner to Debugger) based on task risk.
    • Parallel Execution: Optimized logic for running independent research and reviews simultaneously.
    • Conflict Resolution: Specialized debug modes to handle disagreements between agent outputs.
    • Rigorous Synthesis: Merges multi-agent evidence into a single, verified report.

    Why use this skill?

    Directly prompting an AI to "be a team" often leads to role confusion and hallucination. This skill implements strict handoff rules and state management, ensuring agents don't duplicate work or reason from outdated artifacts. It is ideal for cross-file refactoring, complex bug hunting, and architectural planning where the cost of error is high.

    Output format

    Every execution concludes with a standardized report including: roles used, specific actions taken per role, verified evidence (commands/files), inferences made, and remaining unknowns.

    Use Cases

    • Decompose ambiguous projects into actionable sub-tasks for specialized agents
    • Delegate parallel development tracks to accelerate engineering cycles
    • Establish independent verification loops to catch logical errors early
    • Synchronize cross-functional agent outputs into a unified final delivery

    Reviews

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    Only users who have downloaded or purchased this skill can leave a review.

    Security Scanned

    Passed automated security review

    Permissions

    Network Access

    File Scopes

    multi-agent-coordinator/**

    Tags

    multi-agent
    orchestration
    project-management
    workflow-automation
    debugging

    Claude Code, OpenHands, Aider, and SKILL.md-compatible agents supporting multi-agent handoffs.

    Creator

    Roy Yuen

    Frequently Asked Questions

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