Implement six-file language parser support in Codanna.
npx skills add https://github.com/chriskrycho/nova-rust-2 --skill add-language-chriskrycho
Please help me install this Agent Skill. Skill: add-language Source: https://github.com/chriskrycho/nova-rust-2/tree/main/.claude/skills/add-language Command: npx skills add https://github.com/chriskrycho/nova-rust-2 --skill add-language-chriskrycho
What problem does it solve? This Skill provides a structured, step-by-step guide for adding new programming language support to the Codanna system. It solves the complexity of integrating new language parsers by detailing the six-layer architecture, trait implementations, and resolution scope design, ensuring consistent and robust language extensions.
Core Features & Use Cases:
mod.rs, definition.rs, parser.rs, behavior.rs, resolution.rs, audit.rs structure.LanguageDefinition, LanguageParser, and LanguageBehavior traits for core functionality.Quick Start: To begin adding support for a new language like Java, ask: "Guide me through adding Java language support to Codanna." Or, to understand the architecture: "Explain the six-layer architecture for language implementation."
High-intent search queries and answers about installing and using this skill.
Add a new language to Codanna by implementing a six-layer architecture: mod.rs, definition.rs, parser.rs, behavior.rs, resolution.rs, and audit.rs. Follow trait-based interfaces for LanguageDefinition, LanguageParser, and LanguageBehavior, then register the language for deployment and testing.
The six-layer architecture separates concerns across mod.rs (registration), definition.rs (language metadata), parser.rs (Tree-sitter integration), behavior.rs (language semantics), resolution.rs (symbol scoping), and audit.rs (ABI-15 compliance). This structure ensures consistent, maintainable language extensions.
Yes. Design language-specific resolution contexts like LEGB scoping for Python or hoisting for TypeScript. Custom resolution scopes enable accurate code understanding tailored to each language's unique symbol binding rules.
Yes. Tree-sitter grammars are required to build the parser layer. The Skill guides you through creating Tree-sitter grammars and wiring them into Codanna's six-file module structure for complete language integration.
You need a Tree-sitter grammar for your target language, understanding of trait-based Rust interfaces, and familiarity with symbol resolution scoping. Knowledge of the language's semantic rules ensures accurate behavior and resolution layer implementation.
Yes. The six-layer architecture applies to both general-purpose languages and domain-specific languages. Implement Tree-sitter grammars specific to your DSL, then follow the trait-based module structure for full Codanna integration.
hafley66Explain tree-sitter's parsing model and node classification for CST vs AST debugging.
Snowflake-LabsA concise summary of your roleplay character: name,</name> personality, and/or behavior, formatted as a single string sentence. Typically不超过50字，此处省略
madeinoz67Implement new language parsers for Codanna using the six-file architecture.
algusaemApply Clean Architecture, Hexagonal, and DDD patterns to backend systems.