claude-api
The claude-api skill enables developers to build applications powered by Claude by providing language-specific guidance for integrating the Anthropic SDK. It triggers when code imports Anthropic libraries or the user requests Claude API assistance, automatically detecting the project language (Python, TypeScript, Java, Go, Ruby, C#, or PHP) and providing relevant documentation, with defaults to Claude Opus 4.6, adaptive thinking, and streaming for complex tasks.
git clone --depth 1 https://github.com/UnicomAI/wanwu /tmp/claude-api && cp -r /tmp/claude-api/configs/microservice/bff-service/configs/agent-skills/anthropics/claude-api ~/.claude/skills/claude-apiSKILL.md
# Building LLM-Powered Applications with Claude
This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation.
## Defaults
Unless the user requests otherwise:
For the Claude model version, please use Claude Opus 4.6, which you can access via the exact model string `claude-opus-4-6`. Please default to using adaptive thinking (`thinking: {type: "adaptive"}`) for anything remotely complicated. And finally, please default to streaming for any request that may involve long input, long output, or high `max_tokens` — it prevents hitting request timeouts. Use the SDK's `.get_final_message()` / `.finalMessage()` helper to get the complete response if you don't need to handle individual stream events
---
## Language Detection
Before reading code examples, determine which language the user is working in:
1. **Look at project files** to infer the language:
- `*.py`, `requirements.txt`, `pyproject.toml`, `setup.py`, `Pipfile` → **Python** — read from `python/`
- `*.ts`, `*.tsx`, `package.json`, `tsconfig.json` → **TypeScript** — read from `typescript/`
- `*.js`, `*.jsx` (no `.ts` files present) → **TypeScript** — JS uses the same SDK, read from `typescript/`
- `*.java`, `pom.xml`, `build.gradle` → **Java** — read from `java/`
- `*.kt`, `*.kts`, `build.gradle.kts` → **Java** — Kotlin uses the Java SDK, read from `java/`
- `*.scala`, `build.sbt` → **Java** — Scala uses the Java SDK, read from `java/`
- `*.go`, `go.mod` → **Go** — read from `go/`
- `*.rb`, `Gemfile` → **Ruby** — read from `ruby/`
- `*.cs`, `*.csproj` → **C#** — read from `csharp/`
- `*.php`, `composer.json` → **PHP** — read from `php/`
2. **If multiple languages detected** (e.g., both Python and TypeScript files):
- Check which language the user's current file or question relates to
- If still ambiguous, ask: "I detected both Python and TypeScript files. Which language are you using for the Claude API integration?"
3. **If language can't be inferred** (empty project, no source files, or unsupported language):
- Use AskUserQuestion with options: Python, TypeScript, Java, Go, Ruby, cURL/raw HTTP, C#, PHP
- If AskUserQuestion is unavailable, default to Python examples and note: "Showing Python examples. Let me know if you need a different language."
4. **If unsupported language detected** (Rust, Swift, C++, Elixir, etc.):
- Suggest cURL/raw HTTP examples from `curl/` and note that community SDKs may exist
- Offer to show Python or TypeScript examples as reference implementations
5. **If user needs cURL/raw HTTP examples**, read from `curl/`.
### Language-Specific Feature Support
| Language | Tool Runner | Agent SDK | Notes |
| ---------- | ----------- | --------- | ------------------------------------- |
| Python | Yes (beta) | Yes | Full support — `@beta_tool` decorator |
| TypeScript | Yes (beta) | Yes | Full support — `betaZodTool` + Zod |
| Java | Yes (beta) | No | Beta tool use with annotated classes |
| Go | Yes (beta) | No | `BetaToolRunner` in `toolrunner` pkg |
| Ruby | Yes (beta) | No | `BaseTool` + `tool_runner` in beta |
| cURL | N/A | N/A | Raw HTTP, no SDK features |
| C# | No | No | Official SDK |
| PHP | No | No | Official SDK |
---
## Which Surface Should I Use?
> **Start simple.** Default to the simplest tier that meets your needs. Single API calls and workflows handle most use cases — only reach for agents when the task genuinely requires open-ended, model-driven exploration.
| Use Case | Tier | Recommended Surface | Why |
| ----------------------------------------------- | --------------- | ------------------------- | --------------------------------------- |
| Classification, summarization, extraction, Q&A | Single LLM call | **Claude API** | One request, one response |
| Batch processing or embeddings | Single LLM call | **Claude API** | Specialized endpoints |
| Multi-step pipelines with code-controlled logic | Workflow | **Claude API + tool use** | You orchestrate the loop |
| Custom agent with your own tools | Agent | **Claude API + tool use** | Maximum flexibility |
| AI agent with file/web/terminal access | Agent | **Agent SDK** | Built-in tools, safety, and MCP support |
| Agentic coding assistant | Agent | **Agent SDK** | Designed for this use case |
| Want built-in permissions and guardrails | Agent | **Agent SDK** | Safety features included |
> **Note:** The Agent SDK is for when you want built-in file/web/terminal tools, permissions, and MCP out of the box. If you want to build an agent with your own tools, Claude API is the right choice — use the tool runner for automatic loop handling, or the manual loop for fine-grained control (approval gates, custom logging, conditional execution).
### Decision Tree
```
What does your application need?
1. Single LLM call (classification, summarization, extraction, Q&A)
└── Claude API — one request, one response
2. Does Claude need to read/write files, browse the web, or run shell commands
as part of its work? (Not: does your app read a file and hand it to Claude —
does Claude itself need to discover and access files/web/shell?)
└── Yes → Agent SDK — built-in tools, don't reimplement them
Examples: "scan a codebase for bugs", "summarize every file in a directoryHeadless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
万悟平台 SSE 子会话递归嵌套与三明治序列渲染架构指南。涵盖 parentId 领养、order 绝对排序、动静 Chunk 分层及 Vue 2 响应式引用协议。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
>
全局归档协议。只要任务需要写入任何文件(含 PLAN.md、报告、JSON 等归档物),必须按本技能执行 Session→ARCHIVE_ID、TIMESTAMP、双轨路径(根段须为 archives/)、回读校验与状态回执;WebUI 的 archive_grid 必须用 Markdown 中语言标识为 json 的围栏代码块输出。
>-
指导业务知识网络(BKN)建模,输出符合 BKN 2.0.0 的对象类型、关系类型、操作类型、风险类型与概念分组定义。适用于用户提出本体设计、知识网络建模、实体关系梳理、Action 设计、Schema 评审、从文档提取初稿或扩展现有 BKN 的场景。
>