You.com Agent Skills

Agent skills for integrating You.com's AI-powered search, content extraction, and web capabilities with popular AI agent frameworks and bash-based agents.

These skills provide interactive workflows that guide your AI agent through setting up You.com integrations for SDKs, frameworks, and CLI tools.

Available Skills

ydc-ai-sdk-integration

Integrate Vercel AI SDK applications with You.com tools for real-time web search, AI-powered answers, and content extraction.

Use when:

• Building AI SDK applications with generateText() or streamText()
• Adding web search capabilities to your AI agents
• Extracting and processing web content programmatically

Features:

• Interactive setup workflow for existing or new projects
• Three powerful tools: youSearch, youContents
• Smart integration with existing AI SDK code
• Support for multiple AI providers (Anthropic, OpenAI, Google, etc.)

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ydc-claude-agent-sdk-integration

Connect Claude Agent SDK (Python and TypeScript) to You.com's HTTP MCP server for web search and content extraction.

Use when:

• Building Claude-powered agents in Python or TypeScript
• Integrating MCP tools with Claude Agent SDK v1 or v2
• Adding You.com capabilities to existing Claude applications

Features:

• Complete templates for Python and TypeScript (v1 & v2)
• HTTP MCP server configuration patterns
• Bearer token authentication setup
• Error handling and validation examples

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ydc-openai-agent-sdk-integration

Add You.com MCP tools to OpenAI Agents SDK using Hosted MCP or Streamable HTTP modes.

Use when:

• Building OpenAI-powered agents with MCP integration
• Using Python or TypeScript OpenAI Agents SDK
• Choosing between Hosted MCP and Streamable HTTP deployment

Features:

• Dual-mode templates (Hosted MCP + Streamable HTTP)
• Python and TypeScript implementations
• Complete configuration examples for both modes
• Tool approval and validation patterns

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ydc-crewai-mcp-integration

Integrate You.com's remote MCP server with crewAI agents for web search, AI-powered answers, and content extraction.

Use when:

• Building crewAI agents that need real-time web access
• Integrating You.com MCP via MCPServerHTTP or MCPServerAdapter
• Adding web search and content extraction to existing crewAI workflows

Features:

• DSL and MCPServerAdapter integration patterns
• Python implementation with uv/pip setup
• Bearer token authentication for the remote MCP server
• Complete crewAI crew and task configuration examples

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teams-anthropic-integration

Use @youdotcom-oss/teams-anthropic to add Anthropic Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications. Optionally integrate You.com MCP server for web search and content extraction.

Use when:

• Building Teams.ai apps with Claude models
• Need streaming, function calling, or conversation memory
• Optionally want web search capabilities via You.com MCP

Features:

• Two paths: Basic setup (Claude only) or with You.com MCP
• Complete templates for new and existing apps
• Streaming responses and function calling
• Conversation memory with Teams.ai Memory API

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youdotcom-cli

Integrate You.com's web search, AI answers, and content extraction with bash-based AI agents using a universal CLI tool.

Use when:

• Working with bash-capable AI agents (Claude Code, Cursor, Codex, etc.)
• Need fast web search with verifiable citations
• Want simultaneous search + content extraction (livecrawl)
• Building agent workflows with JSON CLI tools

Features:

• Schema-driven JSON input via --json flag
• Schema discovery with --schema flag
• Livecrawl: search + extract content in one API call
• Client tracking with --client flag
• Works with bunx/npx (no installation needed)
• Compatible with any bash-based agent

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Installation

For Agent Skills Spec Compatible Agents

Install All Skills (recommended):

# Using npm
npx skills add youdotcom-oss/agent-skills

# Using Bun (recommended)
bunx skills add youdotcom-oss/agent-skills

This installs all 6 skills at once:

• ydc-ai-sdk-integration
• ydc-claude-agent-sdk-integration
• ydc-openai-agent-sdk-integration
• ydc-crewai-mcp-integration
• teams-anthropic-integration
• youdotcom-cli

Install Individual Skills:

# Install just one skill
npx skills add youdotcom-oss/agent-skills --skill youdotcom-cli
bunx skills add youdotcom-oss/agent-skills --skill ydc-ai-sdk-integration

# Install multiple specific skills
npx skills add youdotcom-oss/agent-skills --skill youdotcom-cli --skill ydc-ai-sdk-integration

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Quick Start

Before using any skill, you'll need a You.com API key:

1. Get API Key: Visit you.com/platform/api-keys
2. Set Environment Variable:

   export YDC_API_KEY="your-api-key-here"
   

3. Request Integration: Ask your AI agent to integrate You.com (see Usage examples below)

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Usage

Once installed, your AI coding agent will automatically activate the relevant skill when you request integration. For example:

• "Integrate Vercel AI SDK with You.com tools"
• "Set up Claude Agent SDK with You.com MCP"
• "Add You.com to my Teams app with Anthropic"
• "Configure OpenAI Agents SDK with You.com MCP"
• "Integrate You.com MCP with my crewAI agents"
• "Add You.com CLI tools to my bash agent"

Each skill provides step-by-step instructions, code templates, and validation checklists.

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Skill Structure

Each skill follows the agent-skills-spec format:

skills/{skill-name}/
├── SKILL.md          # Complete workflow with YAML frontmatter
└── assets/           # Code templates (optional, mostly inlined)

Skills are self-contained:

• YAML frontmatter defines skill metadata (name, description, category, keywords, compatibility)
• Markdown body contains complete workflow, inline code examples, templates, validation, and troubleshooting
• Assets directory (optional) for additional templates - most examples are now inlined for immediate visibility

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Prerequisites

API Keys:

• You.com API key: Get yours
• Provider API keys (Anthropic, OpenAI, etc.) depending on the skill

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Documentation

Each skill includes:

• Prerequisites - Required packages and environment variables
• Complete templates - Ready-to-run code for Python and TypeScript
• Configuration examples - Side-by-side comparisons for different modes
• Validation checklists - Ensure your integration works correctly
• Troubleshooting - Common issues and solutions

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Development

Environment Setup

Create a .env file in the project root with the following API keys:

# Required for all skills
YDC_API_KEY=your-you-com-api-key

# Required for Claude Agent SDK skill
ANTHROPIC_API_KEY=your-anthropic-api-key

# Required for OpenAI Agent SDK skill
OPENAI_API_KEY=your-openai-api-key

Get API keys from:

• You.com: you.com/platform/api-keys
• Anthropic: console.anthropic.com
• OpenAI: platform.openai.com/api-keys

Skill Evals

Skills are validated by running Claude Code against prompts and checking that the generated integration code passes real API tests.

Run all skill evals:

bun run eval

Run a single skill eval:

bun run eval --skill ydc-crewai-mcp-integration

Run with parallelism:

bun run eval -j 4

Regenerate data/RESULTS.md from existing results (no re-run):

bun run eval:summary

Note: Evals use real API keys from .env and invoke Claude Code as a subprocess to generate integration code. Valid API keys are required.

Eval Structure

data/
├── prompts/
│   └── prompts.jsonl       # One entry per skill variant (id, prompt, grader config)
├── results/
│   └── results.jsonl       # Grader output per eval run (gitignored)
└── RESULTS.md              # Human-readable summary (committed on weekly CI run)

tests/{skill-id}/           # Generated integration code lives here (gitignored)
├── agent.ts                # Example: TypeScript integration file
└── agent.spec.ts           # Tests that validate the generated code

scripts/
├── run.ts                  # Eval orchestrator (clean → harness → grade → summarize)
└── grader.ts               # Scoring logic for generated integration code

Eval IDs and test directories use language suffixes where needed:

• ydc-claude-agent-sdk-integration-python → tests/ydc-claude-agent-sdk-integration-python/
• ydc-claude-agent-sdk-integration-typescript → tests/ydc-claude-agent-sdk-integration-typescript/
• ydc-openai-agent-sdk-integration-python → tests/ydc-openai-agent-sdk-integration-python/
• ydc-openai-agent-sdk-integration-typescript → tests/ydc-openai-agent-sdk-integration-typescript/
• Single-variant skills (e.g., ydc-crewai-mcp-integration) use a single test directory

Workflow:

1. data/prompts/prompts.jsonl contains prompts that trigger each skill
2. The eval harness runs Claude Code against each prompt, generating code into tests/{skill-id}/
3. The grader validates the generated code against the test files
4. Results are written to data/results/results.jsonl and summarized in data/RESULTS.md

CI

Evals run automatically on:

• Pull requests that change skills/*/SKILL.md, assets, or eval scripts
• Pushes to main for the same paths
• Weekly schedule (Monday 06:00 UTC) — results committed back to data/RESULTS.md

Current eval results: see data/RESULTS.md

Linting & Formatting

Check for issues:

# Check all files (TypeScript + Python)
bun run check

# Check only Python files
bun run check:py

Auto-fix issues:

# Fix all files (TypeScript + Python)
bun run check:write

# Fix only Python files
bun run check:write-py

Tools:

• TypeScript: Biome for linting and formatting
• Python: Ruff for linting and formatting
• Python package management: uv

Prerequisites

• Bun >= 1.2.21 (for TypeScript evals and orchestration)
• Python >= 3.12 (for Python skill evals)
• uv (automatically used by Bun scripts for Python)

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Contributing

Contributions are welcome! To add a new skill:

1. Fork this repository
2. Create a new skill directory in skills/
3. Add SKILL.md following agent-skills-spec format
4. Add optional assets in assets/ subdirectory
5. Add a prompt entry to data/prompts/prompts.jsonl and reference test files in tests/
6. Test your skill with npx skills add <your-fork>
7. Submit a pull request

Skill naming convention:

• Directory name must match name field in YAML frontmatter
• Use kebab-case (e.g., ydc-ai-sdk-integration)

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License

MIT - See LICENSE file for details

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Support

• Issues: GitHub Issues
• Email: support@you.com
• Documentation: Each skill includes comprehensive documentation in its SKILL.md file