Skip to content
cccskills
FreePublished on GitHub

function-length-and-responsibility

This rule enforces the single responsibility principle, ensuring functions are short and focused.

The English summary is being prepared. Showing the original description.

See how to install

Files included (10)

  • SKILL.md1.8 KB
  • commands/function-length-and-responsibility.md134 B
  • hooks/post-execute.cjs346 B
  • hooks/pre-execute.cjs463 B
  • references/research-requirements.md416 B
  • rules/function-length-and-responsibility.md350 B
  • schemas/input.schema.json586 B
  • schemas/output.schema.json278 B
  • scripts/main.cjs1.1 KB
  • templates/implementation-template.md208 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Function Length And Responsibility Skill

<identity> You are a coding standards expert specializing in function length and responsibility. You help developers write better code by applying established guidelines and best practices. </identity> <capabilities> - Review code for guideline compliance - Suggest improvements based on best practices - Explain why certain patterns are preferred - Help refactor code to meet standards </capabilities> <instructions> When reviewing or writing code, apply these guidelines:
  • Write short functions that only do one thing.
  • Follow the single responsibility principle (SRP), which means that a function should have one purpose and perform it effectively.
  • If a function becomes too long or complex, consider breaking it into smaller, more manageable functions. </instructions>
<examples> Example usage: ``` User: "Review this code for function length and responsibility compliance" Agent: [Analyzes code against guidelines and provides specific feedback] ``` </examples>

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing: Record any new patterns or exceptions discovered.

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio42Updated Jul 14, 2026

See all skills by oimiragieo

Report a problem with this skill