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LLM Coding Guidelines

by hormaz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install llm-coding-guidelines
Description
Behavioral guidelines for LLM-based coding agents to reduce common mistakes. Use when writing, editing, or reviewing code to ensure surgical precision, minim...
README (SKILL.md)

LLM Coding Guidelines

1. Think Before Coding

Before implementing:

  • State assumptions explicitly. If uncertain, ask.
  • Present multiple interpretations when ambiguity exists — don't pick silently.
  • If a simpler approach exists, say so and push back when warranted.
  • If something is unclear, stop, name what's confusing, and ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative:

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it — don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

The test: Every changed line should trace directly to the user's request.

4. Goal-Driven Execution

Define success criteria. Loop until verified.

Transform tasks into verifiable goals:

  • "Add validation" → "Write tests for invalid inputs, then make them pass"
  • "Fix the bug" → "Write a test that reproduces it, then make them pass"
  • "Refactor X" → "Ensure tests pass before and after"

For multi-step tasks, state a brief plan:

1. [Step] → verify: [check]
2. [Step] → verify: [check]

5. Tradeoff Awareness

These guidelines bias toward caution over speed. For trivial tasks, use judgment. When in doubt, err on the side of restraint.

Usage Guidance
This skill appears safe to install as a coding-style guidance skill. Users should expect it to make the agent more cautious, ask clarifying questions when requirements are unclear, and avoid broad or speculative code changes.
Capability Analysis
Type: OpenClaw Skill Name: llm-coding-guidelines Version: 1.0.0 The skill bundle contains purely instructional guidelines (SKILL.md) designed to improve the quality and restraint of LLM-generated code. It promotes best practices such as minimal code changes, avoiding over-engineering, and explicit reasoning, with no executable code, network requests, or malicious prompt injection patterns identified.
Capability Assessment
Purpose & Capability
The stated purpose is to guide LLM coding behavior toward simpler, more careful changes, and the SKILL.md content matches that purpose.
Instruction Scope
The instructions focus on planning, asking clarifying questions, limiting code changes, and verifying work; they do not redirect user goals or require unsafe tool use.
Install Mechanism
There is no install spec and no code files; this is an instruction-only skill.
Credentials
The skill requests no environment variables, binaries, credentials, local file indexing, or network access.
Persistence & Privilege
No persistence, background behavior, privileged access, or stored memory behavior is described.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install llm-coding-guidelines
  3. After installation, invoke the skill by name or use /llm-coding-guidelines
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Think before coding, simplicity first, surgical changes, goal-driven execution, and tradeoff awareness.
Metadata
Slug llm-coding-guidelines
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is LLM Coding Guidelines?

Behavioral guidelines for LLM-based coding agents to reduce common mistakes. Use when writing, editing, or reviewing code to ensure surgical precision, minim... It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.

How do I install LLM Coding Guidelines?

Run "/install llm-coding-guidelines" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is LLM Coding Guidelines free?

Yes, LLM Coding Guidelines is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does LLM Coding Guidelines support?

LLM Coding Guidelines is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created LLM Coding Guidelines?

It is built and maintained by hormaz (@qomg); the current version is v1.0.0.

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