graph-deploy

Automate the mcp-graph DEPLOY phase with DORA metric and CI pipeline checks.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/luissimon96/orchestration-devops-agents --skill graph-deploy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graph-deploy
Source: https://github.com/luissimon96/orchestration-devops-agents/tree/main/.agents/skills/graph-deploy
Command: npx skills add https://github.com/luissimon96/orchestration-devops-agents --skill graph-deploy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mcp__mcp-graph__forecast, mcp__mcp-graph__analyze, mcp__mcp-graph__snapshot, mcp__mcp-graph__set_phase, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill automates the deployment phase of the mcp-graph lifecycle, ensuring the necessary checks and validations are completed, such as DORA metrics and CI pipeline integrity, streamlining the release process.

Core Features & Use Cases

  • DORA Metrics Assessment: Automates checks on Deployment Frequency, Lead Time, Change Failure Rate, and MTTR to ensure release readiness.
  • CI Pipeline Monitoring: Integrates with CI pipeline to ensure builds are green before deployment.
  • Post-Release Validation: Executes post-release checks to verify the integrity of the merged code.
  • Version Tagging: Automates the creation of version tags for release milestones.
  • Deploy Ready Gate: Validates the completion of all necessary checks for deployment readiness.
  • Workflow Management: Orchestrates the entire deployment workflow, guiding the user through each step.

Quick Start

Execute the DEPLOY phase of the mcp-graph lifecycle with graph-deploy.

Frequently Asked Questions about graph-deploy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate DORA metric validation before a release deployment?

DORA metric validation is automated by assessing Deployment Frequency, Lead Time, Change Failure Rate, and MTTR to ensure release readiness. This Skill handles the checks automatically as part of the mcp-graph lifecycle DEPLOY phase, blocking deployments that fail validation.

How do I ensure CI pipeline integrity during the deployment workflow?

CI pipeline integrity is maintained by integrating with the pipeline to verify builds are green before deployment. The automated workflow monitors pipeline status and gates the deployment process until all checks pass successfully.

Can I automate post-release verification for my CI pipeline?

Post-release verification is automated by executing checks that validate the integrity of the merged code. This ensures the newly deployed code functions correctly and maintains stability after the release milestone is reached.

Do I need mcp-graph tools to automate release management and version tagging?

Yes, integration with mcp-graph tools is required to orchestrate the lifecycle and automate version tagging for release milestones. The Skill depends on mcp-graph functions to snapshot, analyze, forecast, and set deployment phases.

What is the best way to gate deployments using DORA metrics and pipeline checks?

The best way to gate deployments is using a Deploy Ready Gate that validates completion of all necessary DORA metric and CI pipeline checks. This workflow orchestrates the entire release process, guiding users through each step to ensure readiness.

Why does my automated deployment fail DORA metric or CI pipeline validation?

Automated deployment validation fails when CI pipeline builds are not green or DORA metric thresholds for Change Failure Rate and MTTR are exceeded. The Deploy Ready Gate blocks the workflow until these release readiness checks pass.