# Lark Documentation

## Docs

- [CI integration](https://docs.getlark.ai/ci.md): Run testing workflows as part of your deployment pipeline.
- [CLI](https://docs.getlark.ai/cli.md): Use the CLI to manage testing workflows from the terminal.
- [Executions](https://docs.getlark.ai/executions.md): Execution statuses, artifacts, and suggested workflows.
- [GitHub integration](https://docs.getlark.ai/github.md): Investigate GitHub issues and propose end-to-end tests on pull requests.
- [Introduction](https://docs.getlark.ai/introduction.md)
- [Linear integration](https://docs.getlark.ai/linear.md): Create Linear issues when a workflow uncovers a real product regression.
- [MCP](https://docs.getlark.ai/mcp-quickstart.md): Connect AI agents to Lark workflows with the Model Context Protocol.
- [Preview deployments](https://docs.getlark.ai/preview-deployments.md): Get a publicly accessible version of your app for every pull request.
- [QA reports](https://docs.getlark.ai/qa-reports.md): Run an AI-driven QA audit of your product and get a structured report of issues.
- [Quickstart](https://docs.getlark.ai/quickstart.md): Create and run your first workflow in minutes from the dashboard or CLI.
- [Repairs and regeneration](https://docs.getlark.ai/repairs-and-regeneration.md): How Lark fixes and rebuilds deterministic workflow scripts.
- [Scheduled runs](https://docs.getlark.ai/scheduling.md): Run workflows on a recurring schedule.
- [Managing secrets](https://docs.getlark.ai/secrets.md): Store credentials securely and pass them to workflows via secret contexts.
- [Skills](https://docs.getlark.ai/skills.md): Install Lark skills for Claude Code, Cursor, and other Skills-compatible agents.
- [Slack integration](https://docs.getlark.ai/slack.md): Get workflow results posted to a Slack channel.
- [Webhooks](https://docs.getlark.ai/webhooks.md): Receive HTTP callbacks when workflow events happen in Lark.
- [Workflow lifecycle](https://docs.getlark.ai/workflow-lifecycle.md): Workflow modes, statuses, and how they change over time.