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AI/ML · Global library

LLM Chain Composer

Compose sophisticated LLM chains with conditional routing, parallel execution, and state management

CodexClaude CodeKimi Codeorchestrator-mcp

Best use case

Use LLM Chain Composer when you need to compose sophisticated LLM chains with conditional routing, parallel execution, and state management, especially when the work is driven by LLM chain and pipeline.

Trigger signals

LLM chainpipelinechain of thoughtroutingconditionalparallel

Validation hooks

chain-completenesserror-recovery

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show llm-chain-composer

Use

orchestrator-mcp skills export llm-chain-composer --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/llm-chain-composer ./your-agent-skills/llm-chain-composer
# or open skills/llm-chain-composer/SKILL.md in a markdown-first client

File patterns

*.pychain*.pypipeline*.pylangchain*.py

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.

AI/MLAdvanced pack

Cost Router Tuner

Open pack

Tune provider routing policy for quality, cost ceilings, and fallback behavior across multiple model subscriptions.

CodexClaude Code
AI/MLGlobal library

Agent Lifecycle Manager

Open pack

Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization

CodexClaude Code