Claude Skill

wednesday-solutions/ai-agent-skills

为Vibe Coded项目预配置的代理技能,指导Claude Code、Cursor和Copilot遵循代码质量与设计标准。GitHub上获得151颗星。

概览

Stars152
Forks18
语言JavaScript
最后更新2026-05-26
最近同步2026-06-25
前往 GitHub

仓库信息

拥有者wednesday-solutions
仓库ai-agent-skills
完整名称wednesday-solutions/ai-agent-skills
Repo ID1,147,864,632

安装这个 Skill

npx @wednesday-solutions-eng/ai-agent-skills install

Registry 信息

类型mcp_server
质量分85/100
验证状态readme_parsed
最近验证2026-06-25
平台
ClaudeMCPCursor
能力
code-reviewpdfmemorysearchterminalworkflowagent-skillsai-agent-skillsai-skillsclaude-code
识别文件
README.mddocspackage.jsontest
配置键
OPENROUTER_API_KEYANTHROPIC_API_KEYGITHUB_TOKENPACKAGE_JSON
安装方式
  • npx @wednesday-solutions-eng/ai-agent-skills install
  • npm install -g @wednesday-solutions-eng/ai-agent-skills

项目简介

为Vibe Coded项目精心策划的预配置代理技能集合,旨在为Claude Code、Cursor等AI编程助手提供具体的代码质量和设计标准指导。

英文描述

Pre-configured agent skills for Vibe Coded projects. These skills provide AI coding assistants (Claude Code, Cursor, etc.) with specific guidelines for code quality and design standards.

要点

  • 为AI编程助手预配置的技能
  • 支持Claude Code、Cursor和Copilot
  • 专注于代码质量和设计标准
  • 专为Vibe Coded项目定制
  • 包含前端和产品工程技能

使用场景

  • 在Vibe Coded项目中强制执行一致的代码质量
  • 为AI助手提供设计标准指导
  • 简化前端开发工作流程
  • 跨团队标准化AI生成的代码

README 摘要

# Wednesday Agent Skills Transform any repository into an **AI-aware, intelligent environment** — a codebase that any AI agent can jump into on day one without making junior-level mistakes. ```bash npx @wednesday-solutions-eng/ai-agent-skills install ``` --- ## What This Is Most AI agents in large codebases fail in the same ways: they hallucinate structure, waste tokens re-reading files they've seen before, and make changes without knowing what will break. This system solves all three. It works by pre-computing a **structural dependency graph** (SQLite, AST-based, zero LLM) of your entire codebase once, then giving every AI agent — Claude Code, Cursor, Gemini CLI, GitHub Copilot — a precise manual for how to work in *your specific project*. From that point on, structural questions are answered from the graph in milliseconds, not from re-reading source files. ## What You Get After Install This system integrates directly with **Claude Code**, **Gemini**, and other AI tools as an **on-demand skill**, feeding them structured repo context and enforcing local guardrails. **Answering structural questions via our pre-computed graph saves 70–90% of LLM tokens per query.** ### 1. Unified Codebase Intelligence Hub (`.wednesday/`) - **AST-parsed Dependency Graph (`graph.db`)**: Builds and maintains a SQLite database mapping every import, export, and function call across JS, TS, Python, Go, Swift, etc. This eliminates the need for AI agents to repeatedly read files, reducing LLM token consumption by up to 90%. - **Living Agent Configuration Files**: Automatically generates and updates `CLAUDE.md`, `GEMINI.md`, `.cursorrules`, and `.github/copilot-instructions.md` with available skills and rules. ### 2. Guardrails and Enforced Quality Standards - **Complexity Gates**: Enfor

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数据来自 GitHub,同步时间:2026-06-25