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From llm-rail
Design an LLM Rail workflow — analyze intent, validate requirements, and generate optimized YAML
How this skill is triggered — by the user, by Claude, or both
Slash command
/llm-rail:designThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are designing an lrail workflow. Given user requirements, produce a validated YAML workflow file.
You are designing an lrail workflow. Given user requirements, produce a validated YAML workflow file.
lrail docs workflow/requirements-analysis — uncover intent, validate feasibility, confirm with user.lrail docs workflow/design-process Phase 1-4 — step breakdown, write YAML, validate.Additional references:
lrail docs workflow/design-tips — design principles and anti-patternslrail docs concepts/step-types — agentic vs programmatic, agent selectionlrail docs concepts/validation — assertion operatorsSave workflows to workflows/<name>/workflow.yml in the user's project directory.
npx claudepluginhub neuradex/llm-rail --plugin llm-railValidates, runs, and debugs multi-agent YAML workflows. Use when orchestrating AI agents, configuring routing, or setting up human-in-the-loop gates.
Generates Dify workflow DSL files (YAML/JSON) from natural language descriptions, with correct node schemas, edges, and layout for direct import.
Authors a reusable, deterministic agent orchestration workflow as a self-contained .mjs script for Claude Code's Workflow tool, with structured phases, fan-out, and verification.