status

Summarize project status from .ai-memory.md into a concise report.

2|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/VoTruongDanh/Skills-Agent --skill status-votruongdanh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: status
Source: https://github.com/VoTruongDanh/Skills-Agent/tree/main/.cursor/skills/status
Command: npx skills add https://github.com/VoTruongDanh/Skills-Agent --skill status-votruongdanh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Collates memory-driven history and repository state to produce a concise, up-to-date project health snapshot, reducing manual status reporting.

Core Features & Use Cases

  • Read the primary memory context from .ai-memory.md and synthesize a clear status view.
  • Route to specialized agents (e.g., project-planner, orchestrator) for deeper analysis when needed.
  • Highlight risks, blockers, and next-priority actions to guide planning and stakeholder updates.

Quick Start

Summarize the current project status by reading the .ai-memory.md and report gaps, risks, and actionable next steps.

Frequently Asked Questions about status

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

FAQPage Schema
How do I generate a project health snapshot from memory and repository data?

To generate a project health snapshot, the Skill reads the .ai-memory.md file and synthesizes memory-driven history with repository state to produce a concise, up-to-date status view.

What is the best way to automate project status reporting for active workstreams?

Automating project status reporting involves aggregating memory context and repository data to format a status snapshot, which reduces manual reporting effort across active workstreams.

How does summarizing project status help with progress tracking and milestone reporting?

Summarizing project status highlights risks, blockers, and next-priority actions to guide planning, directly supporting progress tracking and milestone reporting for stakeholder updates.

Can I route project status summaries to specialized agents for deeper analysis?

Yes, the status summary can route to specialized agents like project-planner or orchestrator for deeper analysis when the initial snapshot requires further investigation.

Do I need a .ai-memory.md file to track project risks and blockers?

Yes, you need a .ai-memory.md file because it serves as the primary context following the Memory Protocol to identify gaps, risks, and actionable next steps.

Are there limitations when using memory-driven history for project health reviews?

A limitation is that project health reviews depend entirely on the .ai-memory.md context; incomplete memory data will restrict the accuracy of the status snapshot and risk identification.