One-click install
npx skills add https://github.com/seiei-sogen/tumigi --skill dev-context-seiei-sogen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-context
Source: https://github.com/seiei-sogen/tumigi/tree/main/skills/dev-context
Command: npx skills add https://github.com/seiei-sogen/tumigi --skill dev-context-seiei-sogen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manually re-explaining project context (tech stack, coding conventions, test setup, architecture) to AI assistants for every development task wastes time and consumes unnecessary context tokens, especially for long-running AI-driven development workflows.

Core Features & Use Cases

  • Automated Project Analysis: Detects tech stack, test frameworks, directory structure, and coding conventions by scanning project configuration files and sample source code.
  • Compact Context Generation: Creates a standardized, under-500-line context file that serves as a shared reference for all subsequent dev skills (dev-plan, dev-impl, dev-verify, dev-debug) to avoid repetitive context loading.
  • Use Case: When starting work on an existing codebase, run this skill once to generate the context file, so all later development tasks do not require re-explaining the project's basic setup and rules.

Quick Start

Ask the AI to run the dev-context skill to analyze your current project and generate the shared development context file for use in later workflow steps.

Frequently Asked Questions about dev-context

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

FAQPage Schema
How do I generate project context for AI-assisted development workflows without repeating explanations?

To generate project context for AI-assisted development, you can run an automated analysis skill that scans configuration files and source code to detect your tech stack, test frameworks, and coding conventions. This produces a compact, standardized context file for downstream tasks.

What is automated tech stack detection and how does it work for existing codebases?

Automated tech stack detection works by scanning project configuration files and sample source code to identify architectural patterns, test frameworks, and coding conventions. It generates a standardized context file with confidence markers to eliminate repetitive context loading for AI workflows.

Do I need to manually set up coding conventions before analyzing my project's technical context?

No manual setup of coding conventions is required before analyzing project technical context. The skill automatically detects conventions by scanning existing configuration files and source code, applying confidence markers to all reported information for accurate downstream development workflows.

What's the best way to share architectural patterns and test framework setup across multiple AI development tasks?

The best way to share architectural patterns and test framework setup is generating a standardized context file once. This under-500-line file serves as a shared reference for all subsequent dev skills, eliminating repetitive context explanation and reducing token consumption.

Can I use this project context analysis for any software project or only specific tech stacks?

This project context analysis applies to all software projects using the dev-* skill suite. It automatically detects the specific tech stack, test frameworks, directory structure, and coding conventions of your current project regardless of the technology used.

Why does my AI assistant keep asking about directory structure and coding conventions for every development task?

AI assistants ask about directory structure and coding conventions repeatedly because they lack persistent project context. Generating a standardized context file once eliminates this issue by serving as a shared reference for all subsequent development workflow steps.