“Code generation”

Use this skill when the user requests to generate, create, or improve documentation for code, APIs, libraries, repositories, or software projects.

Use for all code generation, review, and refactoring regardless of language.

Remove AI-generated code patterns that don't match codebase style

Use when a task spans interface understanding, design-system memory, UI audits, design CI, Figma, shadcn or Tailwind code generation, research, or agent…

Also use for agentic data engineering pipelines, code generation agents, agent-powered CLI tools, MCP server development, or any system where an AI model…

Use when implementing, optimizing, or reviewing performance-critical C#/.NET scalar or SIMD hot paths whose throughput depends on RyuJIT code generation

Remove AI-generated code slop and clean up code style.

Remove AI-generated code slop from the branch's diff and clean up code style.

Generate TypeScript/JavaScript code that reads/decodes AND writes/encodes ClickHouse RowBinary streams for the ClickHouse HTTP server.

Use after writing or modifying non-trivial application code, before final verification, to find and fix common AI-generated code problems.

Generate documentation for code — use when asked to document a module, generate API docs, create a README for code, or write reference documentation.

Remove AI-generated code slop from the current diff.

Delegate boilerplate code generation to a cheaper worker model.

Generates Angular code and provides architectural guidance.

Build and debug Nimony compile-time plugins for code generation and DSL rewrites.

Quality gates, test automation, and feedback loops for AI-generated code.

Use when you must generate predictable code that follows the patterns of an existing file (tests, config, type stubs, boilerplate).

Corrects the wrong defaults a model has when standing up self-hosted SonarQube Server as a continuous gate on AI-generated code, verified against…

Diagnoses failures *specific to SPViz*, regarding its DSLs, code generation, generated project models, generated language servers, and generated visualization…

Clean up generated code changes — strip slop (dead code, one-use abstractions, redundant guards, comment noise, unnecessary effects), fix what the change…

Use when cleaning AI-generated code from a branch diff before commit.

Use Webflow MCP server + AI Assistant — AI agents design pages, manage CMS, run SEO/AEO audits, and generate code.

Name and block the specific failure modes of AI-generated code and AI-generated reports that pass a shallow check

Generates client SDK code, API wrapper libraries, request/response models, and language-specific usage patterns for any REST API.