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aidlc-progress

Assess AI-DLC initiative progress from Confluence, Jira, and code evidence.

Updated Aug 23, 2026
Search Tags:#dashboard#initiative#jira#confluence#progress#code-health#ai-dlc
One-click install
npx skills add https://github.com/onesmartguy/raptor-claude-plugins --skill aidlc-progress
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aidlc-progress
Source: https://github.com/onesmartguy/raptor-claude-plugins/tree/main/plugins/aidlc/skills/aidlc-progress
Command: npx skills add https://github.com/onesmartguy/raptor-claude-plugins --skill aidlc-progress

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a unified, verifiable view of an Initiative's confidence, risk, and progress by aggregating documentation quality, team readiness, Jira status, and code health into a single dashboard.

Core Features & Use Cases

  • Generates a headline progress dashboard with confidence, risk, and progress metrics, plus detailed breakdowns by Documentation, Jira, and Code evidence.
  • Works across all AI-DLC phases (Intent through Implementation) and triggers on phrases like check progress or project health.
  • Delivers phase-appropriate recommendations and tasks to advance the Initiative toward delivery.

Quick Start

Provide an Initiative identifier or Confluence URL to generate a live progress dashboard.

Frequently Asked Questions about aidlc-progress

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

FAQPage Schema
How do I check Jira epic and Confluence progress for an AI initiative?▼

To check AI initiative progress, provide a Confluence URL or initiative identifier to aggregate Jira epics, Confluence pages, and code repository metrics into a unified visual dashboard.

What is the best way to track code health and documentation quality together?▼

Tracking code health and documentation quality together requires aggregating repository metrics and Confluence pages to generate a single confidence, risk, and progress report for your initiative.

Can I detect the current phase of an AI-DLC project automatically?▼

You can detect the current AI-DLC project phase automatically by applying phase-detection logic to identify whether planning, elaboration, design, verification, or implementation is active.

Does this progress dashboard work across all AI-DLC phases from intent to implementation?▼

Yes, the progress dashboard works across all AI-DLC phases from Intent through Implementation, spawning parallel assessors to deliver phase-appropriate recommendations and tasks.

How do I get actionable recommendations for advancing an AI initiative toward delivery?▼

To get actionable recommendations for advancing an AI initiative, gather verifiable documentation, Jira, and code evidence to assess risks and generate structured tasks tailored to the active phase.

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