“code generation”

Run and troubleshoot repository code generation after detecting the generator contract.

Generate production-quality code from requirements.

Use when reviewing AI-generated code before merge or execution: plan AST/security checks, isolated behavior tests and evidence, with language-specific…

Generate the API layer from the OpenAPI contract — controllers, DTOs, Bean Validation, mappers and the RFC 9457 exception handler — bound 1:1 to operationIds…

Generate a shareable access code for an anonymously deployed Heroku app preview.

Generate Kubernetes manifests, Terraform modules, Helm charts and the quality-gate CI workflow into generated/.

Generate Spring Boot + ScalarDB Java code from design specifications.

Generate a Spring for GraphQL API layer from approved SDL and resolver contracts — controllers, DTOs, mappers, authorization, batch loading, exception…

Code generator skills that produce production-ready Swift code for common app components.

Trigger language server code generation — implement interface stubs, generate test skeletons, add missing methods, generate mock types.

Generate code using nx generators.

Generate code using nx generators.

Delegate boilerplate code generation to AiKA.

Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics.

Write a code review guide for newly generated code: a Markdown document in the repo that explains why the code changed, what changed conceptually, and the…

Use at the start of every session and before every new task - read GODMODE-CODE-OF-LAW.md at the project root when it exists (the project's generated Code of…

Generated code must be aligned with security headers (e.g.

Bioconductor package discovery, workflow recommendation, setup inspection, and starter code generation grounded in official Bioconductor containers and…

Plan SDK generation from Ontoly API, route, model, and operation evidence.

Generates code and provides documentation for the Genkit Dart SDK.

Delegate boilerplate code generation to a cheap worker model.

Review a pull request, branch, recent commits, staged or unstaged changes, or AI-generated code for correctness, readability, architecture, security…

Generates code that transforms datasets between ML schemas for model training or evaluation.

Chat / code generation via tproxy using OpenAI /v1/chat/completions, Anthropic /v1/messages, or OpenAI Responses.