name: ai.orchestrator
version: 0.1.0
description: Orchestrates AI/ML workflows including model training, evaluation, and
  deployment
capabilities:
- Coordinate meta-agent creation and composition
- Manage skill and agent generation workflows
- Orchestrate AI-powered automation
- Handle agent compatibility and optimization
- Coordinate marketplace publishing
skills_available:
- agent.compose
- agent.define
- agent.run
- generate.docs
- generate.marketplace
- meta.compatibility
reasoning_mode: iterative
tags:
- ai
- orchestration
- meta
- automation
workflow_pattern: '1. Analyze incoming request and requirements

  2. Identify relevant ai skills and workflows

  3. Compose multi-step execution plan

  4. Execute skills in coordinated sequence

  5. Validate intermediate results

  6. Handle errors and retry as needed

  7. Return comprehensive results'
example_task: "Input: \"Complete ai workflow from start to finish\"\n\nAgent will:\n\
  1. Break down the task into stages\n2. Select appropriate skills for each stage\n\
  3. Execute create \u2192 validate \u2192 review \u2192 publish lifecycle\n4. Monitor\
  \ progress and handle failures\n5. Generate comprehensive reports"
error_handling:
  timeout_seconds: 300
  retry_strategy: exponential_backoff
  max_retries: 3
output:
  success:
  - Ai workflow results
  - Execution logs and metrics
  - Validation reports
  - Generated artifacts
  failure:
  - Error details and stack traces
  - Partial results (if available)
  - Remediation suggestions
status: generated