lai-gen-language-skill

Generating documentation for a Langium DSL to onboard AI agents requires producing a standalone SKILL.md file containing syntax, semantics, and validation rules. This skill extracts evidence from your grammar, custom services, and tests to package self-contained DSL knowledge for agent understanding without runtime source files.

A DSL understanding skill is a self-contained knowledge artifact that teaches agents syntax, semantics, and scoping behavior without accessing original project files. It accelerates agent onboarding by packaging validation rules and examples into a durable instructional document derived from the language descriptor.

Packaging Langium semantic validation and scoping rules into an AI prompt involves extracting name resolution behavior and validation logic from your custom services. This skill compiles validator and scope provider outputs into structured instructional content within an SKILL.md file featuring required YAML frontmatter.

Documenting DSL syntax and common errors without source files at runtime is possible by generating a comprehensive skill document. This artifact grounds agent understanding in pre-extracted grammar and test examples, eliminating the need for direct project access during execution.

Creating a Langium language skill document requires your language descriptor, grammar, custom services, examples, tests, and the already-generated system prompt. Feeding these inputs allows the skill to derive evidence-driven coverage of validation rules and scoping behavior into the final SKILL.md.

Generating a DSL skill document in the Langium AI workflow should occur after generating and refining the language descriptor and system prompt. This sequence ensures the durable documentation accurately extends the refined prompt with extracted validation and scoping details.