ComposioHQ /
awesome-claude-skills
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
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A curated list of awesome cloud computing resources, services, frameworks, and tools.
A curated list of tools, SDKs, prompts, tutorials, and community projects for working with Claude — Anthropic's AI assistant. Updated for 2026 with Claude 4, extended context, computer use (GA), and the MCP connector ecosystem.
Maintained by Anthropic or deeply integrated into major AI frameworks.
| Name | Language | Stars | Notes |
|---|---|---|---|
| anthropic-sdk-python | Python | ★ 41.2k | Official. Streaming, tool use, vision, async/await, auto-retry |
| anthropic-sdk-typescript | TypeScript | ★ 38.8k | Official. Full type safety, streaming helpers, Edge Runtime |
| anthropic-sdk-java | Java | ★ 9.1k | Official. Spring Boot integration, Project Reactor support |
| anthropic-sdk-go | Go | ★ 7.3k | Official. Idiomatic error handling, zero external dependencies |
| anthropic-sdk-rust | Rust | ★ 4.2k | Official. Async via Tokio, zero-copy streaming |
| langchain-anthropic | Python | ★ 22.4k | Chains, agents, LCEL, RAG pipelines, memory |
| llama-index-anthropic | Python | ★ 18.7k | Document loaders, knowledge graphs, query engines |
| vercel-ai-sdk | TypeScript | ★ 31.5k | useChat, useCompletion, RSC streaming, tool rendering |
| haystack-claude | Python | ★ 6.9k | Pipeline components for retrieval and summarization |
| instructor | Python | ★ 24.1k | Structured outputs from Claude using Pydantic schemas |
| litellm |
Current Claude 4 model family (2025–2026). All models support tool use, vision, and computer use.
| Model ID | Context | Best For | Speed |
|---|---|---|---|
claude-opus-4-20260101 | 1M tokens | Complex reasoning, research, agentic tasks | Slower |
claude-sonnet-4-20260101 | 200k tokens | Coding, analysis, balanced production use | Fast |
claude-haiku-4-20260101 | 200k tokens | Real-time apps, classification, high-volume | Fastest |
thinking.budget_tokens. Available on Opus 4 and Sonnet 4. Best for math, logic, and multi-step problems.import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="claude-sonnet-4-20260101",
max_tokens=1024,
messages=[
{"role": "user", "content": "Explain extended thinking in Claude 4."}
]
)
print(message.content[0].text)
With Extended Thinking:
message = client.messages.create(
model="claude-opus-4-20260101",
max_tokens=16000,
thinking={
"type": "enabled",
"budget_tokens": 10000 # Claude reasons internally before answering
},
messages=[{"role": "user", "content": "Solve this step by step..."}]
)
CLI — Agentic coding assistant in your terminal. Full repo context, edit + run loops, git integration, MCP tool use.beta — Browsing agent. Summarize pages, fill forms, run multi-step web workflows.beta — Native Office add-ins. Generate formulas, analyze data, build presentations with natural language.beta — Desktop automation for non-developers. Drag-and-drop workflows using computer use.★ 22k — AI pair programming in the terminal. Multi-file edits, git history. Claude Sonnet 4 is the recommended default.★ 18.4k — Autonomous coding agent in VS Code. File system access, browser control, terminal execution, MCP.★ 14.2k — Open-source VS Code & JetBrains extension. Custom context providers and fine-tuned slash commands.★ 9.8k — Open-source automation. Self-hostable with Claude AI pieces.MCP is an open standard that lets Claude securely connect to external data sources, tools, and services. Think of it as a USB-C port for AI — standardized, composable, and bidirectional.
| Server | Description |
|---|---|
filesystem | Read/write local files with path permission controls |
github | Repos, issues, PRs, code search via GitHub API |
google-drive | Search and read Google Drive documents |
slack | Send messages, read channels, search Slack workspaces |
postgres | Read-only SQL queries against PostgreSQL databases |
sqlite | Local SQLite query and inspection |
brave-search | Web search via Brave Search API |
fetch | Fetch and convert web pages to Markdown for Claude |
memory | Persistent key-value store across conversations |
puppeteer | Browser automation and web scraping |
★ 3.1k — AWS services via MCP. CloudFormation, S3, Lambda, CloudWatch.import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
const server = new Server(
{ name: "my-server", version: "1.0.0" },
{ capabilities: { tools: {} } }
);
server.setRequestHandler("tools/list", async () => ({
tools: [{
name: "get_weather",
description: "Get current weather for a location",
inputSchema: {
type: "object",
properties: { location: { type: "string" } },
required: ["location"]
}
}]
}));
server.setRequestHandler("tools/call", async (request) => {
// handle tool execution
return { content: [{ type: "text", text: `Weather for ${request.params.arguments.location}` }] };
});
await server.connect(new StdioServerTransport());
Techniques, libraries, and reference resources for getting the best results from Claude.
# Use XML tags for structured inputs
<document>{{content}}</document>
<task>Summarize the key findings and list action items.</task>
# Chain of thought — ask Claude to reason before answe
Selected from shared topics, language and repository description—not editorial ratings.
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