skills/codex/connect-apps/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: connect-apps description: Connect Claude to external apps like Gmail, Slack, GitHub. Use this skill when the user wants to send emails, create issues, post messages, or take actions in external services. --- # Connect Apps Connect Claude to 1000+ apps. Actually send emails, create issues, post messages - not just generate text about it. ## Quick Start ### Step 1: Install the Plugin ``` /plugin install composio-toolrouter ``
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/connect-appsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Connect Claude to 1000+ apps. Actually send emails, create issues, post messages - not just generate text about it.
/plugin install composio-toolrouter
/composio-toolrouter:setup
This will:
After setup, restart Claude Code and try:
Send me a test email at [email protected]
If it works, you're connected!
| Ask Claude to... | What happens | |------------------|--------------| | "Send email to [email protected] about the launch" | Actually sends the email | | "Create GitHub issue: fix login bug" | Creates the issue | | "Post to Slack #general: deploy complete" | Posts the message | | "Add meeting notes to Notion" | Adds to Notion |
Email: Gmail, Outlook, SendGrid Chat: Slack, Discord, Teams, Telegram Dev: GitHub, GitLab, Jira, Linear Docs: Notion, Google Docs, Confluence Data: Sheets, Airtable, PostgreSQL And 1000+ more...
/plugin install composio-toolrouterdevelopment
<!-- 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: -