Progress Dashboard

Aggregate pattern completion, test coverage, and activity into project health summaries.

3|1|Updated Apr 18, 2025
One-click install
npx skills add https://github.com/imsaif/aiex --skill progress-dashboard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Progress Dashboard
Source: https://github.com/imsaif/aiex/tree/main/.claude/skills/progress
Command: npx skills add https://github.com/imsaif/aiex --skill progress-dashboard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates uncertainty about project status and prioritization, providing a clear, real-time overview of your AI Design Patterns project's health and guiding you to the most impactful next actions.

Core Features & Use Cases

  • Comprehensive Status Reports: Displays pattern completion status, test coverage, recent session activity, and overall project health indicators.
  • Intelligent Next Actions: Suggests prioritized tasks based on the current project state, ensuring you always work on what matters most.
  • Agent Activity Coordination: Monitors and coordinates the work of other AI agents (Pattern Generator, Testing Agent, Design Consistency), ensuring aligned progress.
  • Use Case: Quickly understand the project's state, identify bottlenecks, and get AI-driven recommendations on what to work on next to efficiently complete the 24 AI design patterns.

Quick Start

Quick status summary

npm run progress-status

Frequently Asked Questions about Progress Dashboard

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

FAQPage Schema
How do I track project health and completion status across multiple AI design patterns?

Project health tracking aggregates pattern completion status, test coverage, and recent activity into a real-time overview. Run `npm run progress-status` to display a comprehensive status report showing which patterns are complete, test coverage metrics, and overall project indicators in one view.

How can I get prioritized next actions for my AI design patterns project?

Intelligent next-action recommendations analyze current project state and suggest prioritized tasks based on completion gaps and dependencies. The dashboard computes what matters most next, eliminating guesswork about which pattern or task to work on to complete your 24 AI design patterns efficiently.

Can I monitor and coordinate work across multiple AI agents on a single project?

Agent activity coordination monitors Pattern Generator, Testing Agent, and Design Consistency agents, ensuring aligned progress. The dashboard tracks concurrent agent activities and provides visibility into bottlenecks, preventing duplicate work and keeping multi-agent workflows synchronized.

What information does a project status dashboard display?

A status dashboard displays pattern completion rates, test coverage percentages, recent session activity logs, and health indicators. This consolidated view reveals project bottlenecks and readiness at a glance without navigating separate tools.

Do I need existing pattern data or test coverage metrics to use progress tracking?

Progress tracking works with existing pattern completion data and test coverage metrics from your project. If patterns and tests are already instrumented, the dashboard ingests that data; if starting fresh, you populate these as patterns and tests are created.

When should I check project health during multi-pattern development?

Check project health when starting a session, after completing a pattern, or before prioritizing next work. Regular status checks prevent progress plateaus and ensure agent coordination remains effective as complexity grows across 24 interdependent patterns.