vibe-coding-checker_skill

Overview

This skill evaluates whether an idea or feature can be implemented primarily by AI coding assistants like Cursor, Windsurf, Bolt, and similar tools. It returns a feasibility verdict, recommends the best tool(s), breaks the work into AI-manageable subtasks, and highlights likely failure points and mitigation. The goal is a pragmatic, action-oriented plan you can feed back into AI coding workflows.

How this skill works

You submit a short or detailed project description. The skill analyzes technical complexity, context length needs, external dependencies, and debugging difficulty, then produces a verdict, tool recommendations, a step-by-step decomposition, and concise risk notes. It maps each subtask to specific AI tools and estimates where human intervention will be required.

When to use it

• You want to know if an AI assistant can build a working prototype without heavy manual coding.
• You need a prioritized, tool-specific breakdown before hiring or starting development.
• You are choosing between several AI coding tools for a given project.
• You want to identify likely blockers and prepare mitigations before prototyping.
• You need concrete prompts and small task definitions to feed into AI coding agents.

Best practices

• Provide a clear, scoped description and expected inputs/outputs to get accurate feasibility results.
• List known external APIs, file formats, or data sizes so dependency checks are realistic.
• Ask for both a minimal viable implementation path and a safer, robust version with human checkpoints.
• Use the tool recommendations to match tasks: Cursor for complex logic, Bolt/StackBlitz for frontend demos, v0.dev for UI scaffolding.
• Treat performance, security, and edge-case handling as areas likely to need human review.

Example use cases

• Assess whether a Chrome extension that scrapes and analyzes comments can be fully built by AI and which tool to use.
• Determine if a web app that ingests Excel, cleans data, and returns sanitized downloads is feasible with AI assistants and a suggested task split.
• Plan an MVP for a pure-frontend interactive demo and identify when to switch from Bolt to Cursor.
• Estimate effort and risks for integrating a third-party API with limited docs so you can decide on manual vs AI-driven work.