Claude api

Skill DROOdotFOO/agent-skills/skills/claude-api

Agent skills, autonomous agents, and MCP-companions for programming

Install

npx -y skills add DROOdotFOO/agent-skills --skill claude-api

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.

SKILL.md

4.5 KB, as published. Nobody here has run it

Building LLM-Powered Applications with Claude

Choose the right surface, detect the project language, read the relevant docs.

What You Get

Language-detected SDK examples (Python, TypeScript, Go, Elixir, Rust, Lua, cURL)
Decision tree: single call vs workflow vs agent vs Agent SDK
Current model IDs, thinking/effort config, caching patterns
Tool use patterns (tool runner, manual loop, code execution)
Error taxonomy and live documentation URLs

Top Pitfalls (quick reference)

Mistake	Fix
Using `budget_tokens` on Opus 4.6 / Sonnet 4.6	Use `thinking: {type: "adaptive"}` -- budget_tokens is deprecated
Lowballing `max_tokens`	Default ~16K non-streaming, ~64K streaming. Truncation = wasted retry
Prefilling assistant message on Opus 4.6	Returns 400. Use structured outputs or system prompt instead
Silent cache invalidation	Check `usage.cache_read_input_tokens`. Common culprit: `datetime.now()` in system prompt
Redefining SDK types	Use `Anthropic.MessageParam`, `Anthropic.Tool`, etc. -- don't roll your own

Full list: shared/pitfalls.md

Defaults

Use Claude Opus 4.6 (claude-opus-4-6) unless the user names a different model. Use adaptive thinking (thinking: {type: "adaptive"}) for anything remotely complicated. Use streaming for long input/output -- .get_final_message() / .finalMessage() if you don't need individual events.

Language Detection

Infer from project files:

*.py, pyproject.toml, requirements.txt -> Python -- read from python/
*.ts, *.tsx, package.json, tsconfig.json -> TypeScript -- read from typescript/
*.js, *.jsx (no .ts present) -> TypeScript -- JS uses the same SDK
*.go, go.mod -> Go -- read from go/
*.ex, *.exs, mix.exs -> Elixir -- read from elixir/
*.rs, Cargo.toml -> Rust -- read from rust/
*.lua, .luarc.json -> Lua -- read from lua/

If ambiguous, ask. If unsupported language, suggest curl/ examples.

Which Surface?

Use Case	Surface
Single call (classify, summarize)	Claude API
Multi-step pipeline, your tools	Claude API + tool use
Agent needing file/web/terminal	Agent SDK
Custom agent, your own tools	Claude API agentic loop

Decision tree and "Should I Build an Agent?" criteria: shared/surfaces.md

Reading Guide

Task	Read
Single call (classify/summarize/extract)	`{lang}/claude-api/README.md`
Chat UI / streaming	+ `{lang}/claude-api/streaming.md`
Long conversations (context overflow)	+ Compaction section; details: `shared/thinking-effort.md`
Prompt caching / cache optimization	`shared/prompt-caching.md` + `{lang}/claude-api/README.md`
Tool use / function calling / agents	+ `shared/tool-use-concepts.md` + `{lang}/claude-api/tool-use.md`
Batch processing	+ `{lang}/claude-api/batches.md`
File uploads across requests	+ `{lang}/claude-api/files-api.md`
Agent with built-in tools	`{lang}/agent-sdk/README.md` + `{lang}/agent-sdk/patterns.md`
Model selection / capabilities	`shared/models.md`
Thinking, effort, compaction	`shared/thinking-effort.md`
Error handling	`shared/error-codes.md`

Go, Elixir, Rust, Lua, cURL: single file covers all basics. Read that plus shared/ files as needed.

When to Use WebFetch

Use when user asks for "latest" info, cached data seems wrong, or features aren't covered here. URLs: shared/live-sources.md.