Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Runs multi-step AI workflows using MCP (Model Context Protocol), coordinating prompt chains, resource loading, and cross-server execution. Includes built-in templates for common tasks like code review, meal planning, and report generation. Workflows are defined as JSON and run through a local MCP server.
MCP's standardized resource URIs and tool interfaces let workflows coordinate across multiple AI servers without custom glue code for each integration.
When to use it
- Generating a weekly team status report from project metrics
- Running automated code review on a pull request
- Building a 7-day meal plan with a shopping list
- Producing API documentation from source files
- Chaining multi-step prompts for structured data processing
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Create a 7-day vegetarian meal plan with a $50 budget
- 1Loads the meal-planner workflow template
- 2Validates input parameters against the workflow schema
- 3Executes the prompt chain: plan → generate → execute → validate
- 4Embeds file and memory resources as needed at each step
A 7-day vegetarian meal plan with a categorized shopping list under the specified budget