Multi Agent Coordinator
by Roy Yuen
Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.
- 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
$7
· or 35 creditsSecure checkout via Stripe
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
See it in action
You say
Our auth service is experiencing intermittent failures during high load. Coordinate a full investigation to find the race condition, implement a fix, and verify the patch.
Your agent does
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.
Multi Agent Coordinator
by Roy Yuen
Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.
$7
· or 35 creditsSecure checkout via Stripe
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
You say
Our auth service is experiencing intermittent failures during high load. Coordinate a full investigation to find the race condition, implement a fix, and verify the patch.
Your agent does
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
Known Limitations
- High token consumption due to multiple role context windows.
- Latency increases when sequencing more than 3 interdependent agents.
- Not suitable for trivial, single-file edits.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/multi-agent-coordinator -o /tmp/multi-agent-coordinator.zip && unzip -o /tmp/multi-agent-coordinator.zip -d ~/.claude/skills && rm /tmp/multi-agent-coordinator.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
File Scopes
Claude Code, OpenHands, Aider, and SKILL.md-compatible agents supporting multi-agent handoffs.
Frequently Asked Questions
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