software-architecture
Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.
- License 许可
- MIT
- 最近更新
- 2026-11-14
- Stars
- ★ 3.3w
- Forks
- 3.9k
01 前言 Front Matter
- name
- software-architecture
- description
- Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.
02 资源文件 5
- 参考文档references/advanced.md11.4 KB
- 参考文档references/analysis.md9.2 KB
- 参考文档references/core_concepts.md5.5 KB
- 参考文档references/time_evolution.md7.7 KB
- 参考文档references/visualization.md8.1 KB
03 SKILL.md 正文
Software Architecture Development Skill
This skill provides guidance for quality focused software development and architecture. It is based on Clean Architecture and Domain Driven Design principles.
Code Style Rules
General Principles
- Early return pattern: Always use early returns when possible, over nested conditions for better readability
- Avoid code duplication through creation of reusable functions and modules
- Decompose long (more than 80 lines of code) components and functions into multiple smaller components and functions. If they cannot be used anywhere else, keep it in the same file. But if file longer than 200 lines of code, it should be split into multiple files.
- Use arrow functions instead of function declarations when possible
Best Practices
Library-First Approach
- ALWAYS search for existing solutions before writing custom code
- Check npm for existing libraries that solve the problem
- Evaluate existing services/SaaS solutions
- Consider third-party APIs for common functionality
- Use libraries instead of writing your own utils or helpers. For example, use
cockatielinstead of writing your own retry logic. - When custom code IS justified:
- Specific business logic unique to the domain
- Performance-critical paths with special requirements
- When external dependencies would be overkill
- Security-sensitive code requiring full control
- When existing solutions don't meet requirements after thorough evaluation
Architecture and Design
- Clean Architecture & DDD Principles:
- Follow domain-driven design and ubiquitous language
- Separate domain entities from infrastructure concerns
- Keep business logic independent of frameworks
- Define use cases clearly and keep them isolated
- Naming Conventions:
- AVOID generic names:
utils,helpers,common,shared - USE domain-specific names:
OrderCalculator,UserAuthenticator,InvoiceGenerator - Follow bounded context naming patterns
- Each module should have a single, clear purpose
- AVOID generic names:
- Separation of Concerns:
- Do NOT mix business logic with UI components
- Keep database queries out of controllers
- Maintain clear boundaries between contexts
- Ensure proper separation of responsibilities
Anti-Patterns to Avoid
- NIH (Not Invented Here) Syndrome:
- Don't build custom auth when Auth0/Supabase exists
- Don't write custom state management instead of using Redux/Zustand
- Don't create custom form validation instead of using established libraries
- Poor Architectural Choices:
- Mixing business logic with UI components
- Database queries directly in controllers
- Lack of clear separation of concerns
- Generic Naming Anti-Patterns:
utils.jswith 50 unrelated functionshelpers/misc.jsas a dumping groundcommon/shared.jswith unclear purpose
- Remember: Every line of custom code is a liability that needs maintenance, testing, and documentation
Code Quality
- Proper error handling with typed catch blocks
- Break down complex logic into smaller, reusable functions
- Avoid deep nesting (max 3 levels)
- Keep functions focused and under 50 lines when possible
- Keep files focused and under 200 lines of code when possible
04 同仓库更多 Skills
wealthville-pool-scoring
Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter/Hold/Exit/Reduce/Avoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.
technical-debt-auditor
Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO/FIXME/HACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like "where should I focus refactoring", "find code smells", "audit my codebase", "what technical debt do we have", "prioritize cleanup work", or asks about code quality metrics. Also trigger when the user mentions "code rot", "legacy cleanup", "refactoring priorities", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say "technical debt" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.
readonly-sql-guard
Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production/ERP/analytics database (a "query" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write/DDL/side-effect/transaction-escape risks. Checks what a statement CALLS, not just its shape.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
discernment-nudge
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.