integration-workflows
Cross-MCP workflows that coordinate multiple systems (Linear, GitHub, n8n, Slack) for end-to-end automation. Captures patterns that span tool boundaries.
Best use case
integration-workflows is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Cross-MCP workflows that coordinate multiple systems (Linear, GitHub, n8n, Slack) for end-to-end automation. Captures patterns that span tool boundaries.
Teams using integration-workflows should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/integration-workflows/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How integration-workflows Compares
| Feature / Agent | integration-workflows | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Cross-MCP workflows that coordinate multiple systems (Linear, GitHub, n8n, Slack) for end-to-end automation. Captures patterns that span tool boundaries.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Integration Workflows ## Purpose This skill captures workflows that use MULTIPLE MCP servers together. When a pattern emerges that coordinates Linear + GitHub + n8n + Slack (or any combination), document it here. ## Current Status **Placeholder skill - Will grow as we discover integration patterns** This skill intentionally starts small and will evolve as we build real integrations. ## When to Add to This Skill Add a workflow here when: - ✅ It uses 2+ different MCP servers - ✅ The workflow has been tested and works - ✅ It's repeatable (not one-off) - ✅ It saves significant time/effort ## Documented Workflows ### [Future: YouTube Knowledge Extractor] **Status:** In Development **MCPs Used:** n8n, Linear, GitHub **Description:** Will document once workflow is complete and working ### [Future: Feature Development Pipeline] **Status:** Planned **MCPs Used:** Linear, GitHub, Slack **Description:** Issue creation → branch → PR → review → merge → notify ### [Future: Bug Triage Automation] **Status:** Planned **MCPs Used:** Linear, GitHub, n8n **Description:** Bug report → analysis → assignment → tracking ## Template for New Workflows When adding a workflow, use this template: ```markdown ### Workflow Name **MCPs Used:** [List] **Trigger:** [What starts this workflow] **Outcome:** [What's accomplished] #### Steps: 1. **[MCP Name]**: [Action] - Tool: [specific tool] - Purpose: [why this step] 2. **[MCP Name]**: [Action] - Tool: [specific tool] - Purpose: [why this step] [etc.] #### Error Handling: - If [condition]: [fallback] #### Success Criteria: - [How to verify it worked] ``` ## Meta-Pattern: Skill Improvement Loop **When improving any skill:** 1. Update the skill itself 2. If related to forked MCP → update MCP repo 3. Document the pattern that led to improvement 4. Consider if it's actually an integration pattern (belongs here) ## Notes - Version: 1.0.0 (Placeholder) - Created: 2025-10-18 - Author: Kurt Anderson - Will grow organically as integration patterns emerge
Related Skills
Directus AI Assistant Integration
Build AI-powered features in Directus: chat interfaces, content generation, smart suggestions, and copilot functionality
airflow-workflows
Apache Airflow DAG design, operators, and scheduling best practices.
ai-integration
AI/LLM integration patterns - Claude API, fal.ai, streaming, tool use
adaptive-workflows
Self-learning workflow system that tracks what works best for your use cases. Records experiment results, suggests optimizations, creates custom templates, and builds a personal knowledge base. Use to learn from experience and optimize your LLM workflows over time.
accessibility-object-model-integration
Programmatic manipulation of the accessibility tree to support complex custom controls in React.
academic-data-integration
When the user needs to integrate multiple data sources (Canvas API, user memory, file systems) to create comprehensive academic reports. This skill combines course information, assignment details, submission status, and user context to generate actionable insights. Triggers include requests that involve cross-referencing multiple data sources or creating consolidated academic reports from disparate systems.
302ai-api-integration
ALWAYS use this skill when user needs ANY API functionality (AI models, image generation, video, audio, text processing, etc.). Automatically search 302.AI's 1400+ APIs and generate integration code. Use proactively whenever APIs or AI capabilities are mentioned.
1k-defi-module-integration
Interactive guide for integrating new DeFi modules or protocols into OneKey. Use when adding new DeFi features like staking protocols, lending markets, or entirely new DeFi modules. Triggers on DeFi, protocol, integration, Earn, Borrow, staking, lending, supply, borrow, withdraw, repay, claim, new module, Pendle, Aave, Compound.
workflows-expert
Activate when requests involve workflow execution, CI/CD pipelines, git automation, or multi-step task orchestration. This skill provides workflows-mcp MCP server integration with tag-based workflow discovery, DAG-based execution, and variable syntax expertise. Trigger on phrases like "run workflow", "execute workflow", "orchestrate tasks", "automate CI/CD", or "workflow information".
workflow-integration-git
Git commit workflow with conventional commits, artifact cleanup, and optional push/PR creation
Project Setup and CCAGI Integration
Complete project initialization including Node.js/TypeScript setup, GitHub integration, and CCAGI framework integration. Use when creating new projects or integrating CCAGI components.
interactor-workflows
Build state-machine based automation with human-in-the-loop support through Interactor. Use when implementing approval flows, multi-step processes, automated pipelines, or any workflow requiring user input at specific stages.