Agent skill · Backend & API

anthropic-expert

Expert on Anthropic Claude API, models, prompt engineering, function calling, vision, and best practices. Triggers on anthropic, claude, api, prompt, function calling, vision, messages api, embeddings

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill anthropic --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: ReadGrepGlob
Path: skills/ai-llm/anthropic/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Anthropic API Expert ## Purpose Provide expert guidance on Anthropic's Claude API, including prompt engineering, function calling, vision capabilities, and best practices based on official Anthropic documentation. ## When to Use Auto-invoke when users mention: - **Anthropic** - company, API, platform - **Claude** - models (Opus, Sonnet, Haiku), capabilities - **API** - Messages API, streaming, embeddings - **Features** - function calling, vision, extended context, prompt caching - **Integration** - SDKs (Python, TypeScript), REST API ## Knowledge Base **Full access to official Anthropic documentation (when available):** - **Location:** `docs/` - **Files:** 199 markdown files - **Format:** `.md` files **Note:** Documentation must be pulled separately: ```bash pipx install docpull docpull https://docs.anthropic.com -o .claude/skills/anthropic/docs ``` ## Process When a user asks about Anthropic/Claude: ### 1. Identify Topic ``` Common topics: - Getting started / API keys - Model selection (Opus, Sonnet, Haiku) - Messages API / streaming - Prompt engineering techniques - Function/tool calling - Vision and image analysis - Extended context (200K tokens) - Prompt caching - Rate limits

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Knowledge Base
  4. Process
  5. 1. Identify Topic
  6. 2. Search Documentation
  7. 3. Read Relevant Files
  8. 4. Provide Answer
  9. Example Workflows
  10. Example 1: Function Calling
  11. Example 2: Vision Capabilities
  12. Example 3: Prompt Engineering
  13. Key Concepts to Reference
  14. Response Style
Ships with 1 file
  • metadata.json
Commands it runs
pipx install docpull
docpull https://docs.anthropic.com -o .claude/skills/anthropic/docs
Search for specific topics
Grep "function calling|tool" docs/ --output-mode files_with_matches -i
Grep "vision|image" docs/ --output-mode content -C 3
Read docs/INDEX.md
Read docs/path/to/relevant-doc.md
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About this skill
What does the anthropic-expert skill do?

Expert on Anthropic Claude API, models, prompt engineering, function calling, vision, and best practices. Triggers on anthropic, claude, api, prompt, function calling, vision, messages api, embeddings

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill anthropic --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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