
orchestrate
by 0xrdan
Intelligent model orchestration for Claude Code - routes queries to optimal Claude model (Haiku/Sonnet/Opus) based on complexity. It also includes many more features. If this project is working well for you and would like to support me, just help spread the word. Thanks!
SKILL.md
name: orchestrate description: Execute complex multi-step tasks with forked subtask contexts for clean conversation history context: fork agent: claude-router:opus-orchestrator
Orchestrate Skill
Execute complex, multi-step tasks using the Opus Orchestrator with context forking.
What This Does
This skill spawns a forked context where the Opus Orchestrator can:
- Decompose complex tasks into subtasks
- Delegate appropriately to Haiku (simple) and Sonnet (moderate) agents
- Handle complex analysis and synthesis itself
- Keep intermediate work isolated from your main conversation
When to Use
Use /orchestrate when you have:
- Multi-file refactoring tasks
- Complex feature implementations spanning multiple components
- Tasks requiring research, planning, and implementation phases
- Workflows with many sequential steps
Benefits of Forked Context
- Clean History - Subtask chatter stays in the fork, not your main conversation
- Better Focus - Orchestrator can iterate without cluttering your context
- Automatic Cleanup - Fork is discarded when task completes
Usage
/orchestrate <your complex task description>
Examples
/orchestrate Refactor the authentication system to use JWT tokens
/orchestrate Add comprehensive error handling across all API endpoints
/orchestrate Implement a caching layer for database queries
How It Works
- Your task is passed to the Opus Orchestrator in a forked context
- Orchestrator analyzes and decomposes the task
- Simple subtasks are delegated to Haiku (fast, cheap)
- Moderate subtasks go to Sonnet (balanced)
- Complex analysis stays with Opus
- Results are synthesized and returned to your main conversation
Cost Optimization
By delegating 60-70% of work to cheaper models, orchestrated tasks typically cost 40-50% less than running everything on Opus while maintaining quality.
Score
Total Score
Based on repository quality metrics
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Reviews
Reviews coming soon
