software-engineering-universe
skill
Warn
Health Warn
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 5 GitHub stars
Code Pass
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Pass
- Permissions — No dangerous permissions requested
Purpose
This project is a comprehensive, massive knowledge base covering the entire software development lifecycle. It provides thousands of text-based guides spanning from computer science fundamentals and programming languages to system design, intended to be fed into AI tools to expand their knowledge.
Security Assessment
Overall Risk: Low. This tool acts strictly as a text repository rather than executing software. The code scan inspected 12 files and found no dangerous patterns, hardcoded secrets, or requests for risky permissions. Because it is purely a static knowledge base, it does not execute shell commands, make network requests, or access sensitive user data.
Quality Assessment
The project is highly organized, recently updated (last push was today), and thoroughly documented with a strict MIT license. The creator has completed an impressive quality assurance sweep, verifying zero broken links and achieving high content scores. However, the repository suffers from extremely low community visibility. With only 5 stars on GitHub, it has not been widely peer-reviewed by the broader developer community. Additionally, developers should note that the actual guide contents are currently written entirely in Japanese, though the author states an English translation is planned and AI agents can generally interpret the text regardless.
Verdict
Safe to use — It is a highly detailed, secure, and passive text resource, though its specialized language and low community adoption mean you should verify its utility for your specific workflow.
This project is a comprehensive, massive knowledge base covering the entire software development lifecycle. It provides thousands of text-based guides spanning from computer science fundamentals and programming languages to system design, intended to be fed into AI tools to expand their knowledge.
Security Assessment
Overall Risk: Low. This tool acts strictly as a text repository rather than executing software. The code scan inspected 12 files and found no dangerous patterns, hardcoded secrets, or requests for risky permissions. Because it is purely a static knowledge base, it does not execute shell commands, make network requests, or access sensitive user data.
Quality Assessment
The project is highly organized, recently updated (last push was today), and thoroughly documented with a strict MIT license. The creator has completed an impressive quality assurance sweep, verifying zero broken links and achieving high content scores. However, the repository suffers from extremely low community visibility. With only 5 stars on GitHub, it has not been widely peer-reviewed by the broader developer community. Additionally, developers should note that the actual guide contents are currently written entirely in Japanese, though the author states an English translation is planned and AI agents can generally interpret the text regardless.
Verdict
Safe to use — It is a highly detailed, secure, and passive text resource, though its specialized language and low community adoption mean you should verify its utility for your specific workflow.
A comprehensive skills knowledge base covering the entire software development lifecycle — from design, implementation, testing to deployment. Systematized cross-platform development knowledge spanning iOS, Web, Backend, Scripting, DevOps, and quality assurance. 36 Skills / 952 guides / 43M+ characters.
README.md
Software Engineering Universe
A systematic knowledge base covering all areas of software development.
From CS fundamentals to AI — 36 Skills / 952 guide files / 43M+ characters.
Status: Phase 2 Quality Review Complete — Errors 0 / Broken Links 0 / Avg Score 90.3/100
Phase 1 Complete — All guides expanded to 40KB+ 952/952 (100%)
[!NOTE]
Guide content is currently written in Japanese. English translation is planned.
Claude Code and other AI tools can interpret and utilize the guides regardless of language.
Overview
| Metric | Value |
|---|---|
| Skills | 36 |
| Guide Files | 952 |
| Total Characters | 43M+ |
| Categories | 8 |
| Phase 1 Progress | 952/952 (100%) |
| Phase 2 Progress | Complete (all 5 criteria met) |
| Avg Quality Score | 90.3/100 |
Categories
01-cs-fundamentals — Computer Science Fundamentals (4 Skills / 131 files)
| Skill | Files | Topics |
|---|---|---|
| computer-science-fundamentals | 55 | Hardware, data representation, theory of computation, programming paradigms |
| algorithm-and-data-structures | 24 | Algorithm design, data structures, complexity analysis |
| operating-system-guide | 20 | Process management, memory, file systems, kernel |
| programming-language-fundamentals | 32 | Type systems, compilers, language design, memory models |
02-programming — Programming Languages & Techniques (6 Skills / 118 files)
| Skill | Files | Topics |
|---|---|---|
| object-oriented-programming | 20 | SOLID principles, design patterns, inheritance vs composition |
| async-and-error-handling | 18 | Asynchronous processing, Promises, error handling strategies |
| typescript-complete-guide | 25 | Type system, generics, utility types |
| go-practical-guide | 18 | Goroutines, channels, practical Go patterns |
| rust-systems-programming | 25 | Ownership, lifetimes, unsafe, concurrency |
| regex-and-text-processing | 12 | Regular expressions, text processing, parsers |
03-software-design — Software Design & Quality (3 Skills / 58 files)
| Skill | Files | Topics |
|---|---|---|
| clean-code-principles | 20 | Naming conventions, function design, refactoring |
| design-patterns-guide | 20 | GoF patterns, architectural patterns |
| system-design-guide | 18 | Scalability, distributed systems, system design interviews |
04-web-and-network — Web & Networking (4 Skills / 75 files)
| Skill | Files | Topics |
|---|---|---|
| network-fundamentals | 20 | TCP/IP, DNS, HTTP, TLS |
| browser-and-web-platform | 18 | Rendering, DOM, Web APIs |
| web-application-development | 20 | Full-stack development, SPA/SSR, state management |
| api-and-library-guide | 17 | REST/GraphQL design, library selection |
05-infrastructure — Infrastructure & DevOps (7 Skills / 130 files)
| Skill | Files | Topics |
|---|---|---|
| linux-cli-mastery | 22 | Shell, commands, system administration |
| docker-container-guide | 22 | Containers, Docker Compose, multi-stage builds |
| aws-cloud-guide | 29 | EC2, Lambda, S3, IAM, VPC |
| devops-and-github-actions | 17 | CI/CD, GitHub Actions, automation |
| development-environment-setup | 14 | Editors, toolchains, dotfiles |
| windows-application-development | 14 | WPF, WinUI, Win32 API |
| version-control-and-jujutsu | 12 | Advanced Git, Jujutsu |
06-data-and-security — Data & Security (3 Skills / 63 files)
| Skill | Files | Topics |
|---|---|---|
| sql-and-query-mastery | 19 | SQL optimization, indexing, transactions |
| security-fundamentals | 25 | Encryption, OWASP, vulnerability mitigation |
| authentication-and-authorization | 19 | OAuth2, JWT, RBAC |
07-ai — AI & LLM (8 Skills / 125 files)
| Skill | Files | Topics |
|---|---|---|
| llm-and-ai-comparison | 20 | LLM model comparison, benchmarks |
| ai-analysis-guide | 16 | AI-powered data analysis, prompt design |
| ai-audio-generation | 14 | AI audio generation, music production |
| ai-visual-generation | 14 | AI image & video generation |
| ai-automation-and-monetization | 15 | AI automation, monetization strategies |
| ai-era-development-workflow | 15 | Development workflows in the AI era |
| ai-era-gadgets | 12 | AI gadgets, hardware |
| custom-ai-agents | 19 | AI agent design & implementation |
08-hobby — Hobby (1 Skill / 207 files)
| Skill | Files | Topics |
|---|---|---|
| dj-skills-guide | 207 | DJ techniques, Rekordbox, Ableton Live, music production |
Directory Structure
skills/
├── 01-cs-fundamentals/ # CS Fundamentals (4)
├── 02-programming/ # Programming (6)
├── 03-software-design/ # Design & Quality (3)
├── 04-web-and-network/ # Web & Networking (4)
├── 05-infrastructure/ # Infrastructure & DevOps (7)
├── 06-data-and-security/ # Data & Security (3)
├── 07-ai/ # AI & LLM (8)
├── 08-hobby/ # Hobby (1)
├── _original-skills/ # Pre-Phase 1 26 Skills (archived)
├── _legacy/ # Legacy directory
├── _meta/ # Project management (SESSION_ARCHIVE, etc.)
└── README.md
Internal Skill Structure
skill-name/
├── SKILL.md # Overview & table of contents
├── docs/ # Guide files (main content)
└── README.md # Usage instructions
Usage
With Claude Code
git clone https://github.com/Gaku52/software-engineering-universe.git ~/.claude/skills
Claude Code automatically references ~/.claude/skills/. Skill knowledge is applied during development.
Manual Reference
# View a skill overview
cat ~/.claude/skills/02-programming/typescript-complete-guide/SKILL.md
# Read a specific guide
cat ~/.claude/skills/05-infrastructure/docker-container-guide/docs/multi-stage-build.md
Phase 2: Quality Review & Improvement (Complete)
All 952 files reviewed and fixed based on quality standards (QUALITY_STANDARDS.md).
Achievement Criteria
| Criterion | Target | Result |
|---|---|---|
| Errors | 0 | 0 (improved from 1,315) |
| P0/P1 Issues | All resolved | All resolved |
| Broken Links | 0 | 0 (improved from 1,859) |
| REVIEW_RESULTS | Complete | JSON + Markdown output done |
| Avg Score | 90/100+ | 90.3/100 |
Results by Category
| Category | Files | Errors | Warnings | Status |
|---|---|---|---|---|
| 01-cs-fundamentals | 135 | 0 | 180 | Pass |
| 02-programming | 124 | 0 | 283 | Pass |
| 03-software-design | 61 | 0 | 41 | Pass |
| 04-web-and-network | 79 | 0 | 160 | Pass |
| 05-infrastructure | 137 | 0 | 270 | Pass |
| 06-data-and-security | 66 | 0 | 93 | Pass |
| 07-ai | 133 | 0 | 242 | Pass |
| 08-hobby | 207 | 0 | 455 | Pass |
What was done: Added required sections, expanded content (11 template types), fixed broken links, improved detection patterns, implemented scoring system
Premium Guides
This knowledge base is free and open source. For deeper, production-focused content, premium guides are available:
| Guide | Description | Link |
|---|---|---|
| Building AI Agents with Claude SDK and MCP | 5,300+ words, 39 code examples, ProductionAgent class, MCP integration — based on shipping 7 agents to production | Get the guide ($19) |
License
MIT License - See LICENSE
Last updated: 2026-03-29
Version: 2.2.0 (Phase 2 Complete — Quality Review & Improvement)
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