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/parallel-dispatch

Launch multiple agents concurrently, collect their results, and handle timeouts for fan-out orchestration patterns

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aiwg
229200 skills199 agents26 commands

Claude Code

$ npx -y skills add jmagly/aiwg --skill parallel-dispatch --agent claude-code

SKILL.md

parallel-dispatch.SKILL.md
namespace: aiwg
name: parallel-dispatch
platforms: [all]
description: Launch multiple agents concurrently, collect their results, and handle timeouts for fan-out orchestration patterns

parallel-dispatch

Generic parallel agent orchestration utility for launching multiple agents concurrently.

Triggers

Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):

  • "fan out" → parallel agent dispatch shorthand
  • "run all [N] in parallel" → explicit parallel execution

Purpose

This skill provides the foundational infrastructure for launching multiple agents in parallel, collecting their results, and handling timeouts. It is used by higher-level skills like `artifact-orchestration`, `review-synthesis`, and `gate-evaluation`.

Behavior

When triggered, this skill:

1. **Parses agent configuration**:

  • Agent names (from built-in or custom)
  • Prompt templates for each agent
  • Shared context/artifact reference
  • Timeout settings

2. **Prepares agent-specific prompts**:

  • Loads prompt template per agent
  • Injects shared context (artifact path, requirements)
  • Adds output format requirements

3. **Launches agents in parallel**:

  • Uses single message with multiple Task tool calls
  • Each agent runs independently
  • No inter-agent communication during execution

4. **Collects results**:

  • Waits for all agents or timeout
  • Captures success/failure per agent
  • Structures results for downstream processing

5. **Returns consolidated results**:

  • Per-agent output
  • Execution metadata (duration, status)
  • Aggregated insights (if configured)

Configuration Format

dispatch:
  name: "artifact-review"
  timeout: 300  # seconds

  agents:
    - name: security-architect
      prompt: |
        Review the artifact at {artifact_path} for security concerns.
        Focus on: authentication, authorization, data protection, input validation.
        Output format: structured findings with severity ratings.

    - name: test-architect
      prompt: |
        Review the artifact at {artifact_path} for testability.
        Focus on: test coverage gaps, edge cases, integration points.
        Output format: test recommendations with priority.

    - name: requirements-analyst
      prompt: |
        Review the artifact at {artifact_path} for requirements traceability.
        Focus on: requirement coverage, gaps, conflicts.
        Output format: traceability assessment.

  context:
    artifact_path: ".aiwg/architecture/sad.md"
    requirements_path: ".aiwg/requirements/"

  result_format: structured  # or 'raw'
  aggregate: true  # combine findings

Usage Examples

Basic Parallel Review

User: "Launch parallel review of the SAD by security-architect, test-architect, and requirements-analyst"

Skill executes:
1. Loads SAD from .aiwg/architecture/
2. Prepares review prompts for each agent
3. Dispatches all three agents in single message
4. Collects reviews (timeout: 5 min)
5. Returns structured results

Custom Agent Configuration

User: "Dispatch agents with config from .aiwg/config/review-config.yaml"

Skill executes:
1. Loads configuration file
2. Validates agent names exist
3. Prepares prompts from templates
4. Dispatches with configured timeout
5. Returns results in configured format

Result Format

Structured Results

{
  "dispatch_id": "review-20251208-143022",
  "status": "completed",
  "duration_seconds": 127,
  "agents": {
    "security-architect": {
      "status": "success",
      "duration": 45,
      "output": {
        "findings": [...],
        "severity_summary": {...},
        "recommendations": [...]
      }
    },
    "test-architect": {
      "status": "success",
      "duration": 52,
      "output": {
        "coverage_gaps": [...],
        "test_recommendations": [...],
        "priority_order": [...]
      }
    },
    "requirements-analyst": {
      "status": "success",
      "duration": 38,
      "output": {
        "traced_requirements": [...],
        "gaps": [...],
        "conflicts": [...]
      }
    }
  },
  "aggregate": {
    "total_findings": 12,
    "critical_issues": 2,
    "recommendations": 8
  }
}

Raw Results

{
  "dispatch_id": "review-20251208-143022",
  "agents": {
    "security-architect": "Full text output from agent...",
    "test-architect": "Full text output from agent...",
    "requirements-analyst": "Full text output from agent..."
  }
}

Error Handling

Timeout Handling

timeout_behavior:
  action: "partial"  # or "fail"
  # partial: return results from completed agents
  # fail: return error if any agent times out

Agent Failure

failure_behavior:
  action: "continue"  # or "abort"
  # continue: proceed with other agents
  # abort: stop all if one fails
  retry: 1  # retry failed agents once

Built-in Agent Groups

For convenience, common agent combinations are pre-defined:

Architecture Review Group

group: architecture-review
agents:
  - security-architect
  - test-architect
  - requirements-analyst
  - technical-writer

Security Review Group

group: security-review
agents:
  - security-architect
  - security-auditor
  - privacy-officer

Documentation Review Group

group: documentation-review
agents:
  - technical-writer
  - requirements-analyst
  - domain-expert

Marketing Review Group

group: marketing-review
agents:
  - brand-guardian
  - legal-reviewer
  - quality-controller
  - accessibility-checker

Integration

This skill is the foundation for:

  • `artifact-orchestration` (SDLC)
  • `gate-evaluation` (SDLC)
  • `review-synthesis` (MMK)
  • `brand-compliance` (MMK)

CLI Usage

# Using Python script
python parallel_dispatcher.py --config review-config.yaml

# With inline agents
python parallel_dispatcher.py \
  --agents "security-architect,test-architect
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Questions about parallel-dispatch.

Which coding agents can use parallel-dispatch?
parallel-dispatch installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.