🧪 Baml
This skill teaches you to use BAML to produce structured, type-safe outputs for Python and other languages, enabling reliable LLM clients.
npx playbooks add skill ouachitalabs/skills --skill baml
About Baml
Baml is a testing skill that enables developers to produce structured, type-safe outputs for Python and other languages using BAML, which in turn allows for the creation of reliable large language model clients. This skill is useful when developers need to ensure the accuracy and consistency of their model's output, particularly in applications where type safety is crucial. By leveraging Baml, developers can improve the overall reliability of their language model clients.
Its 21-word system prompt specializes your agent in testing & qa with structured methodology and proven output formats. Install with one command to activate immediately.
Use Cases
- Writing unit, integration, and end-to-end tests
- Setting up test coverage and CI pipelines
- Refactoring legacy code with confidence using tests
- Creating test plans and QA checklists
Example Prompts
System Prompt (21 words)
This skill teaches you to use BAML to produce structured, type-safe outputs for Python and other languages, enabling reliable LLM clients.
Frequently Asked Questions
What is Baml?
Baml is a free testing & qa skill for AI coding agents. This skill teaches you to use BAML to produce structured, type-safe outputs for Python and other languages, enabling reliable LLM clients.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
How do I use Baml with Claude Code?
Run npx playbooks add skill ouachitalabs/skills --skill baml in your terminal to install Baml into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Baml?
Baml is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Baml free to use?
Yes, Baml is completely free and open source. The full source is available on GitHub at https://github.com/ouachitalabs/skills/tree/main/baml. You only need a subscription to the AI agent you use it with.
