skills/codex/connect/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: connect description: Connect Claude to any app. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services. --- # Connect Connect Claude to any app. Stop generating text about what you could do - actually do it. ## When to Use This Skill Use this skill when you need Claude to: - **Send that email** instead of drafting it - **Create that issue** ins
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/connectInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Connect Claude to any app. Stop generating text about what you could do - actually do it.
Use this skill when you need Claude to:
| Without Connect | With Connect | |-----------------|--------------| | "Here's a draft email..." | Sends the email | | "You should create an issue..." | Creates the issue | | "Post this to Slack..." | Posts it | | "Add this to Notion..." | Adds it |
1000+ integrations including:
Get your free key at platform.composio.dev
export COMPOSIO_API_KEY="your-key"
pip install composio # Python
npm install @composio/core # TypeScript
Done. Claude can now connect to any app.
Email [email protected] - Subject: "Shipped!" Body: "v2.0 is live, let me know if issues"
Create issue in my-org/repo: "Mobile timeout bug" with label:bug
Post to #engineering: "Deploy complete - v2.4.0 live"
Find GitHub issues labeled "bug" from this week, summarize, post to #bugs on Slack
Uses Composio Tool Router:
from composio import Composio
from claude_agent_sdk.client import ClaudeSDKClient
from claude_agent_sdk.types import ClaudeAgentOptions
import os
composio = Composio(api_key=os.environ["COMPOSIO_API_KEY"])
session = composio.create(user_id="user_123")
options = ClaudeAgentOptions(
system_prompt="You can take actions in external apps.",
mcp_servers={
"composio": {
"type": "http",
"url": session.mcp.url,
"headers": {"x-api-key": os.environ["COMPOSIO_API_KEY"]},
}
},
)
async with ClaudeSDKClient(options) as client:
await client.query("Send Slack message to #general: Hello!")
First time using an app:
To send emails, I need Gmail access.
Authorize here: https://...
Say "connected" when done.
Connection persists after that.
| Framework | Install |
|-----------|---------|
| Claude Agent SDK | pip install composio claude-agent-sdk |
| OpenAI Agents | pip install composio openai-agents |
| Vercel AI | npm install @composio/core @composio/vercel |
| LangChain | pip install composio-langchain |
| Any MCP Client | Use session.mcp.url |
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-mlflow-evaluation --- # MLflow 3 GenAI Evaluation ## Before Writing Any Code 1. **Read GOTCHAS.md** - 15+ common mistakes that cause failures 2. **Read CRITICAL-interfaces.md** - Exact API signatures and data schemas ## End-to-End Workflows Follow these workflows based on your goal. Each step indicates which reference files to read. ### Workflow 1: First-Time Evaluation Setup For users new to MLflow GenAI evalu
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-lakebase-provisioned --- # Lakebase Provisioned Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. ## When to Use Use this skill when: - Building applications that need a PostgreSQL database for transactional workloads - Adding persistent state to Databricks Apps - Implementing reverse ETL from Delta Lake to an operational database - Storing chat/agent m
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-jobs --- # Databricks Lakeflow Jobs ## Overview Databricks Jobs orchestrate data workflows with multi-task DAGs, flexible triggers, and comprehensive monitoring. Jobs support diverse task types and can be managed via Python SDK, CLI, or Asset Bundles. ## Reference Files | Use Case | Reference File | | ----------------------
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-genie --- # Databricks Genie Create and query Databricks Genie Spaces - natural language interfaces for SQL-based data exploration. ## Overview Genie Spaces allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally. ## When to Use This Skill Use this skill when: -