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MCP Workflow

Workflow automation using MCP (Model Context Protocol) patterns inspired by Jason Zhou

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Workflow automation using MCP (Model Context Protocol) patterns inspired by Jason Zhou

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/jason-zhou-insights.md, references/mcp-spec.md, references/workflow-patterns.md, scripts/mcp-server.js, scripts/templates/code-review.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

Quick Reference

# Start MCP Server node scripts/mcp-server.js # Run a workflow ./scripts/workflow-engine.sh run <workflow-name> [--input <json>] # List available workflows ./scripts/workflow-engine.sh list # Create new workflow from template ./scripts/workflow-engine.sh create <name> --from <template> # Validate workflow ./scripts/workflow-engine.sh validate <workflow-file>

Overview

This skill implements workflow automation using the Model Context Protocol (MCP), enabling: Prompt Chains: Multi-step prompt sequences Dynamic Workflows: Context-aware adaptation Resource Integration: File/data embedding Cross-Server Coordination: Multi-MCP orchestration

1. Prompt Chain Pattern

plan โ†’ generate โ†’ execute โ†’ validate

2. Dynamic Prompt Pattern

context โ†’ adapt โ†’ generate โ†’ output

3. Resource Embedding Pattern

resource://{type}/{id} โ†’ load โ†’ embed โ†’ process

4. External Trigger Pattern

trigger โ†’ validate โ†’ dispatch โ†’ execute

Built-in Templates

TemplateDescriptionUse Casemeal-plannerWeekly meal planningNutrition, shopping listscode-reviewAutomated code reviewPR analysis, quality checksweekly-reportStatus report generationTeam updates, metricsdocumentation-generatorDoc generationAPI docs, changelogs

Resources

file://{path} - File system access memory://{key} - Memory storage config://{section} - Configuration values

Tools

workflow.run - Execute workflow workflow.list - List workflows workflow.validate - Validate workflow JSON prompt.render - Render prompt template

Prompts

chain:plan - Planning prompt chain:generate - Generation prompt chain:review - Review prompt

Meal Planner Workflow

./scripts/workflow-engine.sh run meal-planner \ --input '{"diet":"vegetarian","days":7,"budget":50}'

Code Review Workflow

./scripts/workflow-engine.sh run code-review \ --input '{"repo":"myapp","pr":123}'

Weekly Report

./scripts/workflow-engine.sh run weekly-report \ --input '{"project":"dashboard","week":"2024-W01"}'

1. Workflow Design

Keep steps atomic and focused Use clear input/output contracts Implement error handling at each step Version your workflows

2. Prompt Engineering

Use system prompts for context Provide examples in few-shot prompts Chain prompts for complex tasks Validate outputs before next step

3. Resource Management

Use URI patterns consistently Cache frequently accessed resources Clean up temporary resources Document resource schemas

4. Cross-Server Coordination

Define clear interfaces between servers Use standardized message formats Implement health checks Handle timeouts gracefully

Configuration

Create ~/.openclaw/mcp-workflow.json: { "servers": [ { "name": "local", "command": "node scripts/mcp-server.js", "env": {} } ], "workflowsDir": "./workflows", "templatesDir": "./scripts/templates", "defaultTimeout": 30000 }

Integration with OpenClaw

Use in your OpenClaw session: # Load the skill openclaw skill load mcp-workflow # Run workflow openclaw workflow run meal-planner --input '{"days":5}'

References

MCP Specification Workflow Patterns Jason Zhou Insights

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs1 Scripts1 Config
  • SKILL.md Primary doc
  • references/jason-zhou-insights.md Docs
  • references/mcp-spec.md Docs
  • references/workflow-patterns.md Docs
  • scripts/mcp-server.js Scripts
  • scripts/templates/code-review.json Config