56 lines
1.5 KiB
YAML
56 lines
1.5 KiB
YAML
name: ai.orchestrator
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version: 0.1.0
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description: Orchestrates AI/ML workflows including model training, evaluation, and
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deployment
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capabilities:
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- Coordinate meta-agent creation and composition
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- Manage skill and agent generation workflows
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- Orchestrate AI-powered automation
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- Handle agent compatibility and optimization
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- Coordinate marketplace publishing
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skills_available:
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- agent.compose
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- agent.define
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- agent.run
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- generate.docs
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- generate.marketplace
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- meta.compatibility
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reasoning_mode: iterative
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tags:
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- ai
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- orchestration
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- meta
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- automation
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workflow_pattern: '1. Analyze incoming request and requirements
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2. Identify relevant ai skills and workflows
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3. Compose multi-step execution plan
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4. Execute skills in coordinated sequence
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5. Validate intermediate results
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6. Handle errors and retry as needed
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7. Return comprehensive results'
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example_task: "Input: \"Complete ai workflow from start to finish\"\n\nAgent will:\n\
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1. Break down the task into stages\n2. Select appropriate skills for each stage\n\
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3. Execute create \u2192 validate \u2192 review \u2192 publish lifecycle\n4. Monitor\
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\ progress and handle failures\n5. Generate comprehensive reports"
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error_handling:
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timeout_seconds: 300
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retry_strategy: exponential_backoff
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max_retries: 3
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output:
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success:
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- Ai workflow results
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- Execution logs and metrics
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- Validation reports
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- Generated artifacts
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failure:
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- Error details and stack traces
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- Partial results (if available)
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- Remediation suggestions
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status: generated
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