“Code generation”

E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative…

Prompt engineering for code generation, multi-agent coordination, skill authoring standards, workflow automation, and quality gates for AI-generated code.

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

Refine AI-generated code through specific feedback—point out errors, identify gaps, show desired changes, reference style guides

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

Remove AI-generated code slop from branches.

Chat / code generation via tokenhop using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos.

Use Riverpod code generation (@riverpod, riverpod_generator) and hooks (hooks_riverpod, HookConsumerWidget, flutter_hooks with Riverpod).

Review a changed diff for accidental complexity or generated-code noise.

Expert software engineering, code generation, refactoring, and debugging

Delegate boilerplate code generation to a cheap Gemini model.

Review agent-generated code for spec compliance, test quality, architectural alignment, and agent anti-patterns.

Evaluate Expo skills in this repo end-to-end - trigger accuracy, generated code quality, and runtime screenshots on iOS simulator and Android emulator via…

A skill for code generation and analysis tasks

Work on the native x86-64 code generation backend: register allocation, instruction encoding, peephole optimization, frame sizing, ELF output, and the…

Generates a QR code for the given url.

Identify and fix AI-generated code anti-patterns: incomplete implementations, TODO placeholders, over-engineering, hallucinated APIs, missing error handling…

Check PHP/Laravel git diff before commit using Dandy Code style; use for AI-generated code review, safe cleanup, Pint/tests, commit summary, and commit…

Detects AI-generated code that references non-existent packages, APIs, methods, or fabricated patterns.

SOP for auditing AI-generated code.

Code generation conventions for `mig codegen` project files.

Generate unit tests and integration tests for Python code

Use when building a code-generator, sanitizer, or export pipeline whose output already exists as a hand-maintained artifact — make zero-git-diff against that…

Keeps agent-generated code correct, safe, and consistent with the codebase, match existing conventions, verify behavior with a real run/test, and self-review…