What kind of code metrics are included?

The Code Assessor sub-agent evaluates test coverage estimates, code complexity, and Merge Request health, including CI status and review progress.

Does it require specific tools to function?

Yes, it prefers using the Atlassian CLI (acli) and GitLab CLI (glab) for efficiency, falling back to MCP tools when CLI access is unavailable.

Can I use this for early-stage planning?

Absolutely. The skill detects the project phase automatically; if only an Intent document exists, it focuses its assessment on documentation quality and ambiguity.

How does it calculate the Confidence Score?

The score is a weighted composite of documentation completeness (25%), content quality (20%), team readiness (25%), execution evidence (20%), and ambiguity levels (10%).

What is the AI-DLC Progress skill?

It is a specialized Claude Code capability that assesses the status of software projects by analyzing Confluence documentation, Jira tickets, and repository code to provide a unified health dashboard.

AI-DLC Progress Dashboard

Name: AI-DLC Progress Dashboard
Author: onesmartguy

byonesmartguy

0•

コラボレーションツール

Generates comprehensive health reports and risk assessments for software initiatives by analyzing documentation, Jira tickets, and code repositories.

AI-DLC Progress is a specialized Claude Code skill designed to provide high-visibility metrics for complex software development initiatives. By integrating with Confluence, Jira, and Git repositories, it automatically detects the current project phase—from initial planning through implementation—and deploys specialized sub-agents to evaluate documentation quality, team readiness, and code health. It produces a visual dashboard featuring confidence scores, risk levels, and actionable recommendations to help teams identify bottlenecks and maintain delivery momentum.

主な機能

01Prioritized actionable recommendations for project remediation

02Parallel sub-agent assessment of Confluence, Jira, and Git artifacts

03Weighted Confidence and Risk scoring based on real-time data

040 GitHub stars

05Visual health dashboards with unit-by-unit progress tracking

06Automated project phase detection from Intent to Implementation

ユースケース

01Conducting weekly project health checks to identify hidden execution risks

02Providing stakeholders with data-driven progress reports and confidence metrics

03Evaluating documentation completeness and technical readiness before implementation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add onesmartguy/raptor-claude-plugins aidlc-progress

For use in Claude.ai and ChatGPT

Download Skill