prime

Analyze repository structure and generate project state summary reports.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/yogogml0035-cpu/Assets --skill prime-yogogml0035-cpu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prime
Source: https://github.com/yogogml0035-cpu/Assets/tree/main/xquant-learning-notes/.agents/skills/prime
Command: npx skills add https://github.com/yogogml0035-cpu/Assets --skill prime-yogogml0035-cpu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit aids in establishing a comprehensive understanding of a code repository for agents, enabling efficient loading of project contexts, reading core documents, and summarizing project states.

Core Features & Use Cases

  • Project Structure Analysis: Automates the process of listing and analyzing project files and directory structures.
  • Core Document Reading: Facilitates reading of essential documents such as PRD, CLAUDE, README files, and architecture documents.
  • Key File Identification: Helps in identifying and reviewing main entry files, configuration files, model definitions, and important service/controller files.
  • Current State Understanding: Tracks recent activities and branch states within the repository.
  • Report Generation: Generates a concise summary report covering project overview, architecture, technology stack, core principles, and current state.

Quick Start

Load the project context for 'xquant-learning-notes' repository using the prime skill.

Frequently Asked Questions about prime

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

FAQPage Schema
How do I build code repository understanding for an AI agent?

To build code repository understanding for an agent, you need to analyze the project structure, read core documents like PRDs and READMEs, and identify key files. This process establishes the comprehensive project context required for agent workflows.

What is the best way to generate a project summary from a code repository?

Generating a project summary involves analyzing project files, reading architecture documents, and tracking recent branch states. This automated analysis produces a concise report covering the project overview, technology stack, and current state.

How do I load project context for administrative workflows automatically?

Loading project context for administrative workflows requires analyzing the directory structure and reading essential documents such as CLAUDE and README files. This identifies main entry files and configuration settings to provide immediate project state awareness.

Can I analyze project structure and identify key files without manual review?

Yes, analyzing project structure and identifying key files can be fully automated. The process scans directory structures to review main entry files, model definitions, and important service files, eliminating the need for manual codebase exploration.

What documents are needed to understand a project's current state and architecture?

Understanding a project's current state and architecture requires reading core documents like PRDs, READMEs, and architecture files. Tracking recent repository activities and branch states further completes the comprehensive project context.