multi-agent-coordinator
Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.
skill install https://www.promptspace.in/skills/multi-agent-coordinatorOrchestrate 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 This skill implements strict handoff rules and state management, ensuring agents don't duplicate work or reason from outdated artifacts.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
Example
Prompt
Sample output preview is available after purchase.
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.