- 8-agent OpenClaw cluster (Manager, Tech-Lead, Secretary, Auditor, Optimizer, Study-Builder, NX-Expert, Webster) - Orchestration engine: orchestrate.py (sync delegation + handoffs) - Workflow engine: YAML-defined multi-step pipelines - Agent workspaces: SOUL.md, AGENTS.md, MEMORY.md per agent - Shared skills: delegate, orchestrate, atomizer-protocols - Capability registry (AGENTS_REGISTRY.json) - Cluster management: cluster.sh, systemd template - All secrets replaced with env var references
58 lines
1.5 KiB
YAML
58 lines
1.5 KiB
YAML
name: Design Review
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description: Multi-agent design review pipeline
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trigger: manual
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inputs:
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design_description:
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type: text
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description: "What is being reviewed"
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requirements:
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type: text
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description: "Requirements to review against"
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steps:
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- id: technical_review
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agent: tech-lead
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task: |
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Perform a technical review of the following design:
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DESIGN: {inputs.design_description}
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REQUIREMENTS: {inputs.requirements}
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Assess: structural adequacy, thermal performance, manufacturability,
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and compliance with requirements. Identify risks and gaps.
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timeout: 300
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- id: optimization_review
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agent: optimizer
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task: |
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Assess optimization potential for the following design:
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DESIGN: {inputs.design_description}
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REQUIREMENTS: {inputs.requirements}
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Identify: parameters that could be optimized, potential weight/cost savings,
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and whether a formal optimization study is warranted.
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timeout: 300
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# These two run in PARALLEL (no dependency between them)
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- id: audit
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agent: auditor
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task: |
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Perform a final quality review combining both the technical and optimization assessments:
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TECHNICAL REVIEW:
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{technical_review}
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OPTIMIZATION REVIEW:
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{optimization_review}
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Assess completeness, identify conflicts between reviewers, and provide
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a consolidated recommendation.
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depends_on: [technical_review, optimization_review]
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timeout: 180
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notifications:
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on_complete: "Design review complete"
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