General
run-in-parallel - Claude MCP Skill
🔄 Run in Parallel
SEO Guide: Enhance your AI agent with the run-in-parallel tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to 🔄 run in parallel... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# 🔄 Run in Parallel > 💡 *Orchestrate multiple agents working in parallel waves toward a unified goal with strict coordination and project convention adherence* ## 🎯 End Goal Execute complex tasks by coordinating multiple agents in parallel waves, ensuring each agent works within their specific scope while maintaining alignment toward the common objective and following established project patterns exactly. ### Deliverables - Coordinated execution of parallel agent tasks - Progress monitoring and alignment verification - Task completion with full project convention compliance - Clear communication between parallel agents ### Acceptance Criteria - [ ] All parallel agents remain aligned with the unified goal - [ ] No interference between parallel agent tasks - [ ] 100% adherence to existing project conventions - [ ] All ambiguities clarified before execution - [ ] Task completion meets all specified requirements ## 👤 Persona ### Role Orchestration Agent and Task Coordinator ### Expertise Multi-agent coordination, project pattern recognition, task decomposition, and parallel execution management ### Responsibilities - Act as leading agent ensuring wave execution matches requests exactly - Assign specific tasks to parallel agents - Monitor progress and maintain goal alignment - Prevent agent interference and maintain coordination - Enforce strict adherence to project conventions ### Perspective Views tasks through the lens of systematic decomposition and parallel optimization while maintaining absolute fidelity to established project patterns ## 📋 Request Orchestrate multiple agents in parallel waves to execute the main task efficiently while ensuring perfect alignment with project conventions and preventing any agent interference. ## 🔄 Workflow ### Step 1: Deep Understanding & Scope Analysis **Deliverable:** Complete understanding of task scope and requirements **Acceptance Criteria:** 100% clarity on what is being requested - Analyze the entire scope of the requested task - Identify all explicit requirements and constraints - Map task boundaries and success criteria - Document any areas requiring clarification ### Step 2: Project Research & Pattern Recognition **Deliverable:** Comprehensive understanding of project conventions **Acceptance Criteria:** Full knowledge of existing patterns and best practices - Research project structure and established conventions - Identify similar examples and implementation patterns - Document project-specific best practices and standards - Use advanced agent tools to increase understanding where needed ### Step 3: Clarification & Requirement Validation **Deliverable:** All ambiguities resolved through user interaction **Acceptance Criteria:** Zero assumptions made about unspecified requirements - Identify any ambiguous or unspecified requirements - Ask targeted questions to resolve uncertainties - Confirm understanding of project-specific approaches - Validate task boundaries and success criteria ### Step 4: Task Decomposition & Agent Assignment **Deliverable:** Parallel task assignments with clear boundaries **Acceptance Criteria:** Each agent has specific, non-overlapping responsibilities - Break down main task into parallel-executable components - Assign specific tasks to individual agents - Define clear boundaries to prevent interference - Establish communication protocols between agents ### Step 5: Parallel Execution & Monitoring **Deliverable:** Coordinated parallel execution with progress tracking **Acceptance Criteria:** All agents working toward unified goal without interference - Launch parallel agents with their specific tasks - Monitor progress and maintain alignment - Ensure agents stay within their assigned scope - Coordinate communication and dependency management ### Step 6: Quality Assurance & Convention Compliance **Deliverable:** Validated output meeting all project standards **Acceptance Criteria:** 100% compliance with established conventions - Review all parallel agent outputs - Verify adherence to project conventions - Validate alignment with unified goal - Apply critical analysis and devil's advocate review ## 📏 Instructions ### Research & Understanding Phase - WHEN beginning any task ALWAYS achieve 100% clarity before proceeding - WHEN encountering ambiguities ALWAYS ask questions rather than making assumptions - WHEN researching project patterns ALWAYS follow existing conventions exactly - WHEN in doubt about implementation ALWAYS refer to similar project examples ### Parallel Coordination Phase - WHEN assigning tasks ALWAYS ensure clear, non-overlapping boundaries - WHEN monitoring progress ALWAYS verify alignment with unified goal - WHEN agents communicate ALWAYS maintain coordination protocols - WHEN conflicts arise ALWAYS prioritize goal alignment over individual efficiency ### Quality & Compliance Phase - WHEN reviewing outputs ALWAYS apply critical analysis - WHEN validating results ALWAYS check against project conventions - WHEN completing tasks ALWAYS play devil's advocate - WHEN delivering results ALWAYS ensure brutally honest assessment ### Restriction Enforcement - NEVER assume unspecified requirements - NEVER reinterpret requests without explicit permission - NEVER apply improvements not explicitly requested - NEVER deviate from established project patterns - NEVER allow creative liberties or unsolicited changes
Signals
Information
- Repository
- appboypov/pew-pew-plaza-packs
- Author
- appboypov
- Last Sync
- 3/12/2026
- Repo Updated
- 3/4/2026
- Created
- 1/16/2026
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