Production Code Generation

VerifiedCaution

This skill generates production-ready code that adheres to project conventions and industry best practices. It analyzes existing codebases to maintain consistency, enforces standards like type hints and single-responsibility functions, and avoids common anti-patterns. Use it when creating new features or refactoring to ensure high-quality, maintainable code.

Sby Skills Guide Bot
DevelopmentIntermediate
6/2/2026
Claude CodeCursorWindsurfCopilotCodex
#code-generation#best-practices#production-code#type-hints

Recommended for

Automated summary

This skill enables agents to generate production-ready code following industry best practices and project-specific conventions.

Strengths

  • Analyzes project structure before generation to adhere to existing conventions.
  • Automatically includes error handling, input validation, and test stubs.
  • Enforces quality standards such as type hints and short, single-responsibility functions.
  • Avoids common anti-patterns like god classes, deep nesting, and magic numbers.

Limitations

  • Quality depends on the accuracy of the project analysis.
  • May not cover all edge cases or complex business logic.
  • Requires up-to-date reference files (style guides, examples).
When to use it

Use this skill when you need to quickly produce robust, maintainable code that integrates into an existing codebase.

When not to use it

Do not use it for exploratory prototypes or when flexibility is more important than code rigor.

Security analysis

Caution
Quality score88/100

The skill is intended for code generation, which legitimately requires filesystem and shell access. However, it relies on running external scripts from the skill’s own directory without any safeguards. If the skill source is untrusted, these scripts could perform arbitrary actions, including data exfiltration or system modification, raising the risk level to caution.

Findings
  • •Skill instructs execution of Python scripts (scripts/analyze_project.py, scripts/generate_tests.py) from its own package, which could contain arbitrary code.
  • •Declares shell and git tools, enabling potentially harmful system commands if scripts are malicious.
  • •No mention of sandboxing, review requirements, or trust verification of the scripts.
How this analysis is made

Examples

Generate a Python function with validation
Generate a function that validates email addresses using regex. Include type hints, docstring, and error handling.
Generate a TypeScript service class
Create a UserService class with CRUD operations. Use dependency injection and proper typing.
Generate a complete REST endpoint
Generate a Python Flask endpoint for user registration. Include input validation, error handling, logging, and a unit test stub.

name: code-generation description: Generate high-quality, production-ready code following best practices version: 1.0.0 author: Vertice Agency tools:

  • filesystem
  • shell
  • git

Code Generation Skill

Overview

This skill enables agents to generate production-ready code following industry best practices, design patterns, and the project's coding standards.

Instructions

Before Generating Code

  1. Analyze the project structure using scripts/analyze_project.py
  2. Load relevant context from references/
  3. Check existing patterns in the codebase

Code Quality Standards

  • Follow language-specific style guides
  • Include type hints (Python) or TypeScript types
  • Write self-documenting code with clear names
  • Keep functions under 50 lines
  • Single responsibility principle

Generated Code Must Include

  • Proper error handling
  • Input validation at boundaries
  • Logging for debugging
  • Unit test stubs when appropriate

Anti-Patterns to Avoid

  • God classes/functions
  • Deep nesting (max 3 levels)
  • Magic numbers/strings
  • Commented-out code
  • Print debugging

Scripts

analyze_project.py

Analyzes project structure and returns coding conventions.

generate_tests.py

Generates test stubs for new code.

References

  • references/style_guides/ - Language-specific guides
  • references/patterns/ - Common design patterns
  • references/examples/ - Code examples

Examples

Generate a Python function

Generate a function that validates email addresses using regex.
Include type hints, docstring, and error handling.

Generate a TypeScript class

Create a UserService class with CRUD operations.
Use dependency injection and proper typing.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/production-code-generation-mm78no03/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/production-code-generation-mm78no03' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/production-code-generation-mm78no03/download' --output '.skill-downloads/production-code-generation-mm78no03/SKILL.md.part' && mv '.skill-downloads/production-code-generation-mm78no03/SKILL.md.part' '.skill-downloads/production-code-generation-mm78no03/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/production-code-generation-mm78no03/SKILL.md' && test -s '.skill-downloads/production-code-generation-mm78no03/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/code-generation' && cp -R '.skill-downloads/production-code-generation-mm78no03' '.claude/skills/code-generation'

Cursor
test -f '.skill-downloads/production-code-generation-mm78no03/SKILL.md' && test -s '.skill-downloads/production-code-generation-mm78no03/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/code-generation' && cp -R '.skill-downloads/production-code-generation-mm78no03' '.cursor/skills/code-generation'

Codex
test -f '.skill-downloads/production-code-generation-mm78no03/SKILL.md' && test -s '.skill-downloads/production-code-generation-mm78no03/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/code-generation' && cp -R '.skill-downloads/production-code-generation-mm78no03' '.agents/skills/code-generation'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/production-code-generation-mm78no03'

openskills read 'production-code-generation-mm78no03'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/production-code-generation-mm78no03/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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