Fryrai Baml Claude Skill
fryrai-baml-claude-skill is a Claude Code plugin for the Build phase that generates production-ready BAML code for structured LLM applications.
by FryrAI · github.com/FryrAI/BAML-Claude-Skill
Generate production-ready BAML schemas, clients, and tests inside Claude Code when you are wiring structured LLM outputs into an app.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install fryrai-baml-claude-skill@FryrAI/BAML-Claude-SkillBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:FryrAI/BAML-Claude-Skill") and the paste-ready config with skillselion.get_install_config("plugin:FryrAI/BAML-Claude-Skill").
What it does
fryrai-baml-claude-skill is a one-plugin Claude Code bundle from FryrAI that teaches the agent how to write production-grade BAML—the Boundary ML language for typed LLM functions, parsers, and clients. Solo builders shipping agents, RAG pipelines, or classification APIs install it when they want codegen that respects BAML’s schema-first model instead of hand-rolling prompt strings and brittle JSON parsing. Use it during the build phase while you define extractors, classifiers, and workflow steps that must compile to reliable structured outputs across providers. The marketplace entry emphasizes complete definitions, integrations, tests, and workflow-ready functions, which maps cleanly to agent-tooling work on a small team where one person owns both prompts and application code. It does not replace BAML runtime docs or infra choices; it accelerates turning requirements into checkable BAML source inside your repository.
Highlights
- Generates complete BAML definitions for structured output, extraction, and classification workflows
- Covers multimodal and RAG-oriented patterns aligned with production BAML practices
- Produces client stubs, function wiring, and test scaffolding from natural-language requirements
- Focused single-plugin bundle (1 skill) dedicated to codegen rather than generic chat prompts
- Pairs with Claude Code for iterative refinement of LLM integration code in-repo
Why builders use it
Hand-writing BAML schemas, clients, and tests from scratch slows solo builders who already know what structured output they need but lack time to translate requirements into correct Boundary ML syntax.
After you add the plugin, Claude Code can draft and refine BAML definitions, functions, and tests in your repo so LLM integrations compile toward production patterns faster.
At a glance
- Type - Plugin in LLM Integration.
- Adoption - 0 installs, 4 stars, 0 votes.
FAQ
Who is fryrai-baml-claude-skill for?
Solo and small-team developers building LLM-powered features who standardize on BAML for structured outputs and want Claude Code to generate and iterate on .baml source in the project.
When should I use fryrai-baml-claude-skill?
Use it during the build phase when you are defining extractors, classifiers, RAG steps, or client bindings and need scaffolded BAML that matches production patterns.
How do I add fryrai-baml-claude-skill to my agent?
Install the FryrAI/BAML-Claude-Skill plugin from the Claude Code marketplace for your repo, then invoke the bundled skill while describing your LLM function requirements in natural language.
Comments
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