Generic parallel agent orchestration utility for launching multiple agents concurrently.
Install via CLI
openskills install jmagly/ai-writing-guide# parallel-dispatch
Generic parallel agent orchestration utility for launching multiple agents concurrently.
## Triggers
- "launch parallel [agents]"
- "concurrent review by [agents]"
- "multi-agent [task]"
- "parallel analysis"
- "dispatch agents"
## 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
```yaml
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
```json
{
"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
```json
{
"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
```yaml
timeout_behavior:
action: "partial" # or "fail"
# partial: return results from completed agents
# fail: return error if any agent times out
```
### Agent Failure
```yaml
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
```yaml
group: architecture-review
agents:
- security-architect
- test-architect
- requirements-analyst
- technical-writer
```
### Security Review Group
```yaml
group: security-review
agents:
- security-architect
- security-auditor
- privacy-officer
```
### Documentation Review Group
```yaml
group: documentation-review
agents:
- technical-writer
- requirements-analyst
- domain-expert
```
### Marketing Review Group
```yaml
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
```bash
# Using Python script
python parallel_dispatcher.py --config review-config.yaml
# With inline agents
python parallel_dispatcher.py \
--agents "security-architect,test-architect" \
--artifact ".aiwg/architecture/sad.md" \
--timeout 300
# List available groups
python parallel_dispatcher.py --list-groups
# Validate configuration
python parallel_dispatcher.py --config review-config.yaml --validate
```
## Performance Considerations
- **Optimal parallelism**: 3-5 agents per dispatch
- **Timeout guidance**: 2-5 minutes for document review
- **Memory**: Each agent has isolated context
- **Cost**: Parallel execution uses more tokens but reduces wall-clock time
## References
- Agent definitions: Framework `agents/` directories
- Configuration schema: `schemas/dispatch-config.schema.json`
- Result schema: `schemas/dispatch-result.schema.json`
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