aRustyDev/ai

Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, optimizing for cost or latency, implementing long-running agent systems, agents exhaust memory, or when designing conversation summarization strategies.

Bidirectional conversion between Python and Typescript. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Python↔Typescript specific patterns. Use when migrating Python projects to TypeScript, translating Pythonic patterns to TypeScript idioms, or refactoring Python codebases into TypeScript. Extends meta-convert-dev with Python-to-TypeScript specific patterns.

This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.

Developing custom GitHub Actions (JavaScript, TypeScript, Docker, Composite). Use this skill when the user asks to 'create a GitHub Action', 'build a custom action', 'publish action to marketplace', 'write action.yml', or 'develop reusable action'.

Developing custom MDBook alternative backend (renderer) plugins in Rust. Use this skill when the user asks to 'create an mdbook backend', 'build an mdbook renderer', 'develop mdbook-<foo> renderer', or 'scaffold an alt-backend'.

Cross-cutting patterns for metaprogramming mechanisms across languages. Use when translating decorators between languages, converting annotations to macros, understanding metaprogramming equivalents, or designing code generation strategies for language conversions.

Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs. This is the entry point for GraphQL development.

Convert Elm code to idiomatic Erlang/OTP. Use when migrating Elm frontend applications to Erlang backend services, translating Elm patterns to OTP behaviors, or refactoring functional code to BEAM VM. Extends meta-convert-dev with Elm-to-Erlang specific patterns.

Convert Python code to idiomatic Scala. Use when migrating Python projects to Scala, translating Python patterns to Scala's hybrid OOP+FP paradigm, or refactoring Python codebases for type safety, JVM integration, and functional programming. Extends meta-convert-dev with Python-to-Scala specific patterns.

Convert Clojure code to idiomatic Haskell. Use when migrating Clojure projects to Haskell, translating Clojure patterns to idiomatic Haskell, or refactoring Clojure codebases. Extends meta-convert-dev with Clojure-to-Haskell specific patterns.

Convert F# code to idiomatic Scala. Use when migrating F# projects to Scala, translating functional-first .NET patterns to JVM functional programming, or refactoring F# codebases to Scala. Extends meta-convert-dev with F#-to-Scala specific patterns for discriminated unions, computation expressions, and type providers.

Convert Elixir code to idiomatic F#. Use when migrating Elixir projects to F#, translating BEAM actor patterns to .NET MailboxProcessor, or refactoring Elixir codebases for static typing and .NET integration. Extends meta-convert-dev with Elixir-to-F# specific patterns.

Convert Scala code to idiomatic F#. Use when migrating Scala projects to F#, translating JVM functional/OOP patterns to .NET functional-first programming, or refactoring Scala codebases to F#. Extends meta-convert-dev with Scala-to-F# specific patterns for case classes, sealed traits, and functional programming idioms.

Foundational Java patterns covering core syntax, object-oriented programming, generics, collections, streams, lambdas, and modern Java features. Use when writing Java code, understanding the type system, working with collections/streams, or needing guidance on which specialized Java skill to use. This is the entry point for Java development.

Foundational Haskell patterns covering pure functional programming, type system, type classes, monads, and common idioms. Use when writing Haskell code, understanding pure functions, working with Maybe/Either, leveraging the type system, or needing guidance on functional programming patterns. This is the entry point for Haskell development.

Convert Roc code to idiomatic Erlang. Use when migrating Roc projects to Erlang/OTP, translating functional patterns to process-based architectures, or refactoring Roc codebases. Extends meta-convert-dev with Roc-to-Erlang specific patterns.

Convert Java code to idiomatic C. Use when migrating Java projects to C, translating Java patterns to idiomatic C, or refactoring Java codebases for performance, minimal runtime dependencies, and systems programming. Extends meta-convert-dev with Java-to-C specific patterns.

Convert Haskell code to idiomatic Elixir. Use when migrating Haskell projects to Elixir/BEAM, translating pure functional patterns to practical functional Elixir with OTP, or refactoring Haskell codebases for fault-tolerant distributed systems. Extends meta-convert-dev with Haskell-to-Elixir specific patterns covering static→dynamic types, lazy→strict evaluation, IO monad→effects, and type classes→protocols/behaviours.

Foundational Go patterns covering types, interfaces, goroutines, channels, and common idioms. Use when writing Go code, understanding Go's concurrency model, or needing guidance on which specialized Go skill to use. This is the entry point for Go development.

Convert Python code to idiomatic Elm. Use when migrating Python backends to Elm frontends, translating Python logic to type-safe frontend code, or refactoring Python codebases into functional-first Elm applications. Extends meta-convert-dev with Python-to-Elm specific patterns focused on The Elm Architecture (TEA).