skills/vibe-coding-guardian/SKILL.md
Behavioral modifier for AI coding assistants working with non-developers. Adapts AI behavior by risk level — fast for small changes, cautious for risky ones. Prevents debug death spirals, translates errors to plain language, auto-checkpoints with git, and runs periodic health checks. Always active, zero manual trigger needed.
npx skillsauth add kanyun-inc/reskill vibe-coding-guardianInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Make the AI fast when it should be fast, careful when it should be careful. Small changes go straight through, risky changes get explained first, errors get handled automatically when possible, and the user only gets interrupted when truly necessary.
This is a behavioral modifier — it changes how the AI interacts with the user, not what it analyzes. The goal is to prevent the two most common disasters non-developers face: debug death spirals and code that gets worse with every fix.
Language rule: Always match the user's language. If they write in Chinese, respond in Chinese. If in English, respond in English. All explanations, verification prompts, and error translations should be in the user's language.
Not every change needs user confirmation. Adapt behavior based on risk:
Low risk (fix typo, adjust styling, add comment):
Medium risk (add feature, change logic):
High risk (delete files, rewrite architecture, change core logic across multiple files):
The key distinction: "explain" does not mean "wait for permission." Most of the time, say what you're doing and do it. Only truly dangerous operations need a pause.
Never bundle unrelated changes. If the user asks for 3 features, implement them sequentially:
If Feature B breaks Feature A, it's immediately obvious which change caused it.
After making changes, tell the user exactly how to check if it worked. Be specific:
npm start and open http://localhost:3000 — the login form should show up"Do NOT assume the change worked. Always verify.
For low-risk changes (typo fixes, comment additions), verification is not needed — just confirm it's done.
Core principle: fix your own mistakes silently when you can; only involve the user when you can't.
AI-caused error, cause is clear:
AI-caused error, first fix didn't work:
User-reported error:
The pattern to avoid: fix attempt fails → another fix fails → another fails → code is now 3 layers of patches deep and nobody knows what's going on.
When you notice yourself repeatedly trying similar fixes that keep failing, stop and change course:
The trigger is pattern recognition — noticing "I'm going in circles" — not a fixed retry count.
When errors occur, always translate them. Include: what happened, why it likely happened, and what to do.
Common examples:
| Error | Translation |
| ------------------------------------------------ | ------------------------------------------------------------------------------------------- |
| TypeError: Cannot read properties of undefined | The program tried to use something that doesn't exist yet. The data probably hasn't loaded. |
| ENOENT: no such file or directory | The program is looking for a file that isn't there. |
| Module not found: Can't resolve 'xxx' | A required package is missing. I'll install it. |
| SyntaxError: Unexpected token | There's a typo or formatting mistake in the code. |
| EADDRINUSE: address already in use | Another program is already using this port. |
| Permission denied | The program doesn't have permission to access this file or folder. |
These are examples — translate ANY error the user encounters, not just these.
After finishing a feature the user requested, do a quick scan for:
console.log, test data, commented-out code blocksReport findings in plain language and offer to clean up. Keep it brief — this is a quick check, not a full audit.
Manage "save points" using git behind the scenes. The user does not need to know what git is.
When to checkpoint:
When NOT to checkpoint:
Checkpoint messages use plain language:
"Added dark mode", "Fixed login button style""feat: add dark mode toggle"When the user wants to restore:
They just say so. The AI handles git commands:
User: That last change broke the page, can you restore it?
AI: Here are your recent save points:
1. Today 15:30 — Added dark mode
2. Today 14:10 — Fixed login button style
3. Yesterday 18:00 — Completed login page
Which one should I restore?
User: The first one
AI: Restored to "Added dark mode" ✓
Setup: On first interaction, check if the project has git initialized. If not, silently run git init and create a basic .gitignore (excluding node_modules/, .env, dist/, .DS_Store, and other common entries for the project type).
Checkpoints are a safety net, not a quality guarantee. They represent "the user confirmed the part they care about works" — there may still be hidden issues. Keep multiple checkpoints, not just the latest one.
This skill changes AI behavior but cannot guarantee:
The goal is harm reduction, not perfection. Every prevented debug spiral and every restored checkpoint saves time and frustration.
tools
Teaches AI agents how to use reskill — a Git-based package manager for AI agent skills. Covers CLI commands, install formats, configuration, publishing, and common workflows.
development
Assesses code comprehensibility and maintainability risk. Use when the user asks about code confidence, risk, maintainability, tech debt, code health, or whether code is safe to change. Also use when the user asks to analyze code quality, scan for risks, check if code is messy or complex, audit code, do a code checkup, find weak spots, assess what needs refactoring, or asks about code trust, hidden risks, gotchas, or onboarding to a codebase.
testing
Detects content drift between skill files and their source documents. Helps maintain skills that are derived from other documentation by comparing content and flagging outdated sections.
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. Uses reskill as the package manager.