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fix: remove canonical Anthropic skill duplicates
This commit is contained in:
Affaan Mustafa
committed by
Affaan Mustafa
Affaan Mustafa
parent
06f9eca8e2
commit
95ce9eaaeb
@@ -58,7 +58,7 @@ claude plugin install typescript-lsp@claude-plugins-official
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**ワークフロー:**
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- `commit-commands` - Gitワークフロー
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- `frontend-design` - UIパターン
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- `frontend-patterns` - UIパターン
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- `feature-dev` - 機能開発
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---
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@@ -292,7 +292,7 @@ Bu da geçerli bir seçimdir ve Claude Code ile iyi çalışır. LSP işlevselli
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```markdown
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ralph-wiggum@claude-code-plugins # Loop otomasyonu
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frontend-design@claude-code-plugins # UI/UX desenleri
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frontend-patterns@claude-code-plugins # UI/UX desenleri
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commit-commands@claude-code-plugins # Git iş akışı
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security-guidance@claude-code-plugins # Güvenlik kontrolleri
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pr-review-toolkit@claude-code-plugins # PR otomasyonu
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@@ -1,6 +1,6 @@
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# Everything Claude Code (ECC) — 智能体指令
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这是一个**生产就绪的 AI 编码插件**，提供 48 个专业代理、184 项技能、68 条命令以及自动化钩子工作流，用于软件开发。
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这是一个**生产就绪的 AI 编码插件**，提供 48 个专业代理、182 项技能、68 条命令以及自动化钩子工作流，用于软件开发。
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**版本:** 2.0.0-rc.1
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@@ -147,7 +147,7 @@
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```
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agents/ — 48 个专业子代理
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skills/ — 184 个工作流技能和领域知识
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skills/ — 182 个工作流技能和领域知识
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commands/ — 68 个斜杠命令
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hooks/ — 基于触发的自动化
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rules/ — 始终遵循的指导方针（通用 + 每种语言）
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@@ -215,7 +215,7 @@ Copy-Item -Recurse rules/typescript "$HOME/.claude/rules/"
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/plugin list everything-claude-code@everything-claude-code
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```
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**搞定！** 你现在可以使用 48 个智能体、184 项技能和 68 个命令了。
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**搞定！** 你现在可以使用 48 个智能体、182 项技能和 68 个命令了。
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***
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@@ -1034,7 +1034,7 @@ Codex macOS 应用：
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|-----------|-------|---------|
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| 配置 | 1 | `.codex/config.toml` —— 顶级 approvals/sandbox/web\_search, MCP 服务器，通知，配置文件 |
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| AGENTS.md | 2 | 根目录（通用）+ `.codex/AGENTS.md`（Codex 特定补充） |
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| 技能 | 16 | `.agents/skills/` —— SKILL.md + agents/openai.yaml 每个技能 |
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| 技能 | 32 | `.agents/skills/` —— SKILL.md + agents/openai.yaml 每个技能 |
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| MCP 服务器 | 4 | GitHub, Context7, Memory, Sequential Thinking（基于命令） |
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| 配置文件 | 2 | `strict`（只读沙箱）和 `yolo`（完全自动批准） |
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| 代理角色 | 3 | `.codex/agents/` —— explorer, reviewer, docs-researcher |
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@@ -1043,24 +1043,42 @@ Codex macOS 应用：
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位于 `.agents/skills/` 的技能会被 Codex 自动加载：
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`claude-api`、`frontend-design` 和 `skill-creator` 等 Anthropic 官方技能不会在此重复打包。需要这些官方版本时，请从 [`anthropics/skills`](https://github.com/anthropics/skills) 安装。
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| 技能 | 描述 |
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|-------|-------------|
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| tdd-workflow | 测试驱动开发，覆盖率 80%+ |
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| security-review | 全面的安全检查清单 |
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| coding-standards | 通用编码标准 |
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| frontend-patterns | React/Next.js 模式 |
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| frontend-slides | HTML 演示文稿、PPTX 转换、视觉风格探索 |
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| agent-introspection-debugging | 调试智能体行为、路由和提示边界 |
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| agent-sort | 整理智能体目录和分配表面 |
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| api-design | REST API 设计模式 |
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| article-writing | 根据笔记和语音参考进行长文写作 |
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| content-engine | 平台原生的社交内容和再利用 |
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| market-research | 带来源归属的市场和竞争对手研究 |
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| investor-materials | 幻灯片、备忘录、模型和一页纸文档 |
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| investor-outreach | 个性化外联、跟进和介绍摘要 |
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| backend-patterns | API 设计、数据库、缓存 |
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| brand-voice | 从真实内容中提取来源驱动的写作风格 |
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| bun-runtime | Bun 运行时、包管理器、打包器和测试运行器 |
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| coding-standards | 通用编码标准 |
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| content-engine | 平台原生的社交内容和再利用 |
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| crosspost | X、LinkedIn、Threads 等多平台内容分发 |
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| deep-research | 多源研究、综合和来源归属 |
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| dmux-workflows | 使用 tmux pane manager 进行多智能体编排 |
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| documentation-lookup | 通过 Context7 MCP 获取最新库和框架文档 |
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| e2e-testing | Playwright 端到端测试 |
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| eval-harness | 评估驱动的开发 |
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| everything-claude-code | ECC 项目的开发约定和模式 |
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| exa-search | 通过 Exa MCP 进行网络、代码和公司研究 |
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| fal-ai-media | 图像、视频和音频的统一媒体生成 |
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| frontend-patterns | React/Next.js 模式 |
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| frontend-slides | HTML 演示文稿、PPTX 转换、视觉风格探索 |
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| investor-materials | 幻灯片、备忘录、模型和一页纸文档 |
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| investor-outreach | 个性化外联、跟进和介绍摘要 |
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| market-research | 带来源归属的市场和竞争对手研究 |
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| mcp-server-patterns | 使用 Node/TypeScript SDK 构建 MCP 服务器 |
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| nextjs-turbopack | Next.js 16+ 和 Turbopack 增量打包 |
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| product-capability | 将产品目标转化为有范围的能力图 |
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| security-review | 全面的安全检查清单 |
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| strategic-compact | 上下文管理 |
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| api-design | REST API 设计模式 |
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| tdd-workflow | 测试驱动开发，覆盖率 80%+ |
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| verification-loop | 构建、测试、代码检查、类型检查、安全 |
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| video-editing | 使用 FFmpeg 和 Remotion 的 AI 辅助视频编辑工作流 |
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| x-api | X/Twitter 发帖和分析 API 集成 |
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### 关键限制
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@@ -1107,7 +1125,7 @@ opencode
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|---------|-------------|----------|--------|
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| 智能体 | PASS: 48 个 | PASS: 12 个 | **Claude Code 领先** |
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| 命令 | PASS: 68 个 | PASS: 31 个 | **Claude Code 领先** |
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| 技能 | PASS: 184 项 | PASS: 37 项 | **Claude Code 领先** |
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| 技能 | PASS: 182 项 | PASS: 37 项 | **Claude Code 领先** |
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| 钩子 | PASS: 8 种事件类型 | PASS: 11 种事件 | **OpenCode 更多！** |
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| 规则 | PASS: 29 条 | PASS: 13 条指令 | **Claude Code 领先** |
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| MCP 服务器 | PASS: 14 个 | PASS: 完整 | **完全对等** |
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@@ -1215,7 +1233,7 @@ ECC 是**第一个最大化利用每个主要 AI 编码工具的插件**。以
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|---------|------------|------------|-----------|----------|
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| **智能体** | 48 | 共享 (AGENTS.md) | 共享 (AGENTS.md) | 12 |
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| **命令** | 68 | 共享 | 基于指令 | 31 |
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| **技能** | 184 | 共享 | 10 (原生格式) | 37 |
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| **技能** | 182 | 共享 | 10 (原生格式) | 37 |
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| **钩子事件** | 8 种类型 | 15 种类型 | 暂无 | 11 种类型 |
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| **钩子脚本** | 20+ 个脚本 | 16 个脚本 (DRY 适配器) | N/A | 插件钩子 |
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| **规则** | 34 (通用 + 语言) | 34 (YAML 前页) | 基于指令 | 13 条指令 |
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@@ -61,7 +61,7 @@ claude plugin install typescript-lsp@claude-plugins-official
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**工作流：**
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* `commit-commands` - Git 工作流
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* `frontend-design` - UI 模式
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* `frontend-patterns` - UI 模式
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* `feature-dev` - 功能开发
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***
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@@ -1,337 +0,0 @@
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---
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name: claude-api
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description: Anthropic Claude API 的 Python 和 TypeScript 使用模式。涵盖 Messages API、流式处理、工具使用、视觉功能、扩展思维、批量处理、提示缓存和 Claude Agent SDK。适用于使用 Claude API 或 Anthropic SDK 构建应用程序的场景。
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origin: ECC
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---
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# Claude API
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使用 Anthropic Claude API 和 SDK 构建应用程序。
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## 何时激活
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* 构建调用 Claude API 的应用程序
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* 代码导入 `anthropic` (Python) 或 `@anthropic-ai/sdk` (TypeScript)
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* 用户询问 Claude API 模式、工具使用、流式传输或视觉功能
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* 使用 Claude Agent SDK 实现智能体工作流
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* 优化 API 成本、令牌使用或延迟
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## 模型选择
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| 模型 | ID | 最适合 |
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|-------|-----|----------|
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| Opus 4.1 | `claude-opus-4-1` | 复杂推理、架构设计、研究 |
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| Sonnet 4 | `claude-sonnet-4-0` | 平衡的编码任务，大多数开发工作 |
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| Haiku 3.5 | `claude-3-5-haiku-latest` | 快速响应、高吞吐量、成本敏感型 |
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默认使用 Sonnet 4，除非任务需要深度推理（Opus）或速度/成本优化（Haiku）。对于生产环境，优先使用固定的快照 ID 而非别名。
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## Python SDK
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### 安装
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```bash
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pip install anthropic
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```
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### 基本消息
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```python
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import anthropic
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client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
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message = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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messages=[
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{"role": "user", "content": "Explain async/await in Python"}
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]
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)
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print(message.content[0].text)
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```
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### 流式传输
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```python
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with client.messages.stream(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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messages=[{"role": "user", "content": "Write a haiku about coding"}]
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) as stream:
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for text in stream.text_stream:
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print(text, end="", flush=True)
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```
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### 系统提示词
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```python
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message = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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system="You are a senior Python developer. Be concise.",
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messages=[{"role": "user", "content": "Review this function"}]
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)
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```
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## TypeScript SDK
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### 安装
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```bash
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npm install @anthropic-ai/sdk
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```
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### 基本消息
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```typescript
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import Anthropic from "@anthropic-ai/sdk";
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const client = new Anthropic(); // reads ANTHROPIC_API_KEY from env
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const message = await client.messages.create({
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model: "claude-sonnet-4-0",
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max_tokens: 1024,
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messages: [
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{ role: "user", content: "Explain async/await in TypeScript" }
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],
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});
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console.log(message.content[0].text);
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```
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### 流式传输
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```typescript
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const stream = client.messages.stream({
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model: "claude-sonnet-4-0",
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max_tokens: 1024,
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messages: [{ role: "user", content: "Write a haiku" }],
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});
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for await (const event of stream) {
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if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
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process.stdout.write(event.delta.text);
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}
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}
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```
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## 工具使用
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定义工具并让 Claude 调用它们：
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```python
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tools = [
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{
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"name": "get_weather",
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"description": "Get current weather for a location",
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"input_schema": {
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"type": "object",
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"properties": {
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"location": {"type": "string", "description": "City name"},
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"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
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},
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"required": ["location"]
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}
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}
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]
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message = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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tools=tools,
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messages=[{"role": "user", "content": "What's the weather in SF?"}]
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)
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# Handle tool use response
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for block in message.content:
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if block.type == "tool_use":
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# Execute the tool with block.input
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result = get_weather(**block.input)
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# Send result back
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follow_up = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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tools=tools,
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messages=[
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{"role": "user", "content": "What's the weather in SF?"},
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{"role": "assistant", "content": message.content},
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{"role": "user", "content": [
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{"type": "tool_result", "tool_use_id": block.id, "content": str(result)}
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]}
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]
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)
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```
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## 视觉功能
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发送图像进行分析：
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```python
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import base64
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with open("diagram.png", "rb") as f:
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image_data = base64.standard_b64encode(f.read()).decode("utf-8")
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message = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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messages=[{
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"role": "user",
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"content": [
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{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": image_data}},
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{"type": "text", "text": "Describe this diagram"}
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]
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}]
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)
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```
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## 扩展思考
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针对复杂推理任务：
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```python
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message = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=16000,
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thinking={
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"type": "enabled",
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"budget_tokens": 10000
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},
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messages=[{"role": "user", "content": "Solve this math problem step by step..."}]
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)
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for block in message.content:
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if block.type == "thinking":
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print(f"Thinking: {block.thinking}")
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elif block.type == "text":
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print(f"Answer: {block.text}")
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```
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## 提示词缓存
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缓存大型系统提示词或上下文以降低成本：
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```python
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message = client.messages.create(
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model="claude-sonnet-4-0",
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max_tokens=1024,
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system=[
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{"type": "text", "text": large_system_prompt, "cache_control": {"type": "ephemeral"}}
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],
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messages=[{"role": "user", "content": "Question about the cached context"}]
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)
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# Check cache usage
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print(f"Cache read: {message.usage.cache_read_input_tokens}")
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print(f"Cache creation: {message.usage.cache_creation_input_tokens}")
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```
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## 批量 API
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以 50% 的成本降低异步处理大量数据：
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```python
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import time
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batch = client.messages.batches.create(
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requests=[
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{
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"custom_id": f"request-{i}",
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"params": {
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"model": "claude-sonnet-4-0",
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"max_tokens": 1024,
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"messages": [{"role": "user", "content": prompt}]
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}
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}
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for i, prompt in enumerate(prompts)
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]
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)
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# Poll for completion
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while True:
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status = client.messages.batches.retrieve(batch.id)
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if status.processing_status == "ended":
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break
|
||||
time.sleep(30)
|
||||
|
||||
# Get results
|
||||
for result in client.messages.batches.results(batch.id):
|
||||
print(result.result.message.content[0].text)
|
||||
```
|
||||
|
||||
## Claude Agent SDK
|
||||
|
||||
构建多步骤智能体：
|
||||
|
||||
```python
|
||||
# Note: Agent SDK API surface may change — check official docs
|
||||
import anthropic
|
||||
|
||||
# Define tools as functions
|
||||
tools = [{
|
||||
"name": "search_codebase",
|
||||
"description": "Search the codebase for relevant code",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {"query": {"type": "string"}},
|
||||
"required": ["query"]
|
||||
}
|
||||
}]
|
||||
|
||||
# Run an agentic loop with tool use
|
||||
client = anthropic.Anthropic()
|
||||
messages = [{"role": "user", "content": "Review the auth module for security issues"}]
|
||||
|
||||
while True:
|
||||
response = client.messages.create(
|
||||
model="claude-sonnet-4-0",
|
||||
max_tokens=4096,
|
||||
tools=tools,
|
||||
messages=messages,
|
||||
)
|
||||
if response.stop_reason == "end_turn":
|
||||
break
|
||||
# Handle tool calls and continue the loop
|
||||
messages.append({"role": "assistant", "content": response.content})
|
||||
# ... execute tools and append tool_result messages
|
||||
```
|
||||
|
||||
## 成本优化
|
||||
|
||||
| 策略 | 节省幅度 | 使用时机 |
|
||||
|----------|---------|-------------|
|
||||
| 提示词缓存 | 缓存令牌成本降低高达 90% | 重复的系统提示词或上下文 |
|
||||
| 批量 API | 50% | 非时间敏感的批量处理 |
|
||||
| 使用 Haiku 而非 Sonnet | ~75% | 简单任务、分类、提取 |
|
||||
| 缩短 max\_tokens | 可变 | 已知输出较短时 |
|
||||
| 流式传输 | 无（成本相同） | 更好的用户体验，价格相同 |
|
||||
|
||||
## 错误处理
|
||||
|
||||
```python
|
||||
import time
|
||||
|
||||
from anthropic import APIError, RateLimitError, APIConnectionError
|
||||
|
||||
try:
|
||||
message = client.messages.create(...)
|
||||
except RateLimitError:
|
||||
# Back off and retry
|
||||
time.sleep(60)
|
||||
except APIConnectionError:
|
||||
# Network issue, retry with backoff
|
||||
pass
|
||||
except APIError as e:
|
||||
print(f"API error {e.status_code}: {e.message}")
|
||||
```
|
||||
|
||||
## 环境设置
|
||||
|
||||
```bash
|
||||
# Required
|
||||
export ANTHROPIC_API_KEY="your-api-key-here"
|
||||
|
||||
# Optional: set default model
|
||||
export ANTHROPIC_MODEL="claude-sonnet-4-0"
|
||||
```
|
||||
|
||||
切勿硬编码 API 密钥。始终使用环境变量。
|
||||
@@ -162,13 +162,14 @@ mkdir -p $TARGET/skills $TARGET/rules
|
||||
| `investor-materials` | 宣传文稿、一页简介、投资者备忘录和财务模型 |
|
||||
| `investor-outreach` | 个性化的投资者冷邮件、熟人介绍和后续跟进 |
|
||||
|
||||
**类别：研究与API（3项技能）**
|
||||
**类别：研究与API（2项技能）**
|
||||
|
||||
| 技能 | 描述 |
|
||||
|-------|-------------|
|
||||
| `deep-research` | 使用 firecrawl 和 exa MCP 进行多源深度研究，并生成带引用的报告 |
|
||||
| `exa-search` | 通过 Exa MCP 进行网络、代码、公司和人员的神经搜索 |
|
||||
| `claude-api` | Anthropic Claude API 模式：消息、流式处理、工具使用、视觉、批处理、Agent SDK |
|
||||
|
||||
`claude-api` 是 Anthropic 官方技能；需要时请从 [`anthropics/skills`](https://github.com/anthropics/skills) 安装官方版本，而不是通过 ECC 重复打包。
|
||||
|
||||
**类别：社交与内容分发（2项技能）**
|
||||
|
||||
|
||||
@@ -292,7 +292,7 @@ mgrep --web "Next.js 15 app router changes" # Web search
|
||||
|
||||
```markdown
|
||||
ralph-wiggum@claude-code-plugins # 循环自动化
|
||||
frontend-design@claude-code-plugins # UI/UX 模式
|
||||
frontend-patterns@claude-code-plugins # UI/UX 模式
|
||||
commit-commands@claude-code-plugins # Git 工作流
|
||||
security-guidance@claude-code-plugins # 安全检查
|
||||
pr-review-toolkit@claude-code-plugins # PR 自动化
|
||||
|
||||
Reference in New Issue
Block a user