How does it analyze the data?

It gathers relevant data from GitLab and passes it to a specialized health-analyzer agent that synthesizes findings into a structured, human-readable report.

Can it track specific metrics like cycle time?

Yes, it can analyze MR timestamps and issue states to provide insights into cycle times and identify where development work might be stalling.

Can I use this for non-GitLab projects?

Currently, this specific skill is designed to work exclusively with GitLab's API via MCP tools to gather project health data.

Does this skill need access to my source code?

No, it works entirely by analyzing GitLab metadata such as issues, milestones, and merge request statuses without needing to read your repository's source code.

Who is this skill intended for?

It is designed for any team member, including Project Managers, Tech Leads, QA Analysts, and developers who need a quick, interpreted view of project status.

GitLab Project Health & Insights

Name: GitLab Project Health & Insights
Author: codingthefuturewithai

bycodingthefuturewithai

0•

Collaboration Tools

Generates interpreted insights into sprint progress, velocity trends, and quality signals directly from GitLab metadata.

Teamcraft Project Health is a specialized Claude Code skill that bridges the gap between raw GitLab data and actionable project intelligence. By analyzing milestones, issues, merge requests, and pipeline health, it provides team members—from developers to stakeholders—with a synthesized view of sprint trajectory, delivery risks, and quality trends. Unlike simple data exporters, it uses a dedicated health-analyzer agent to interpret patterns, identify bottlenecks like stuck MRs or climbing defect rates, and offer strategic recommendations without requiring direct access to the codebase.

Key Features

010 GitHub stars

02Identification of quality signals and defect rate patterns

03Seamless GitLab integration using milestones and issue tracking

04Role-specific insights tailored for PMs, Tech Leads, and QA

05Merge Request (MR) cycle time and bottleneck detection

06Interpreted sprint health and velocity trend analysis

Use Cases

01Providing high-level delivery confidence reports to non-technical stakeholders

02Assessing if a current sprint is on track for completion before a deadline

03Identifying why team velocity is fluctuating or where MRs are getting stuck

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives project-health

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Identification of quality signals and defect rate patterns

03Seamless GitLab integration using milestones and issue tracking

04Role-specific insights tailored for PMs, Tech Leads, and QA

05Merge Request (MR) cycle time and bottleneck detection

06Interpreted sprint health and velocity trend analysis

Use Cases

01Providing high-level delivery confidence reports to non-technical stakeholders

02Assessing if a current sprint is on track for completion before a deadline

03Identifying why team velocity is fluctuating or where MRs are getting stuck

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives project-health

For use in Claude.ai and ChatGPT