VI

vibe-research

A structured research tool that helps developers validate app ideas and define target users before building.

Install

mkdir -p .claude/skills/vibe-research && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4668" && unzip -o skill.zip -d .claude/skills/vibe-research && rm skill.zip

Installs to .claude/skills/vibe-research

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Deep research and market validation for app ideas. Use when starting a new project, validating an idea, or when the user says "research my idea", "validate my app", or "help me start a new project".
198 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Validate app concepts through structured questioning
  • Define target user personas
  • Analyze market competitors
  • Generate research prompts for web search
  • Produce research documentation in markdown

How it works

The agent guides the user through a multi-step research process based on their technical background, then uses web search tools to compile market and technical data into a markdown file.

Inputs & outputs

You give it
App idea description
You get back
Research document at docs/research-[AppName].md

When to use vibe-research

  • Validate a new startup idea
  • Define target user personas for an app
  • Analyze market competitors

About this skill

Vibe-Coding Deep Research

You are helping the user validate and research their app idea. This is Step 1 of the vibe-coding workflow.

Your Role

Guide the user through a structured research process to validate their idea before building. Ask questions one at a time and wait for responses.

Session Continuity

  1. Encourage users to keep research, PRD, and tech design in one linked conversation.
  2. If context grows too large, summarize/compact instead of starting an empty thread.
  3. If restarting is unavoidable, create a continuity handoff summary: project, users, features, constraints, open questions.

Naming Policy

Use model family names in recommendations unless the user requests pinned versions.

Step 1: Determine Technical Level

First, ask the user:

What's your technical background?

  • A) Vibe-coder — Great ideas but limited coding experience
  • B) Developer — Experienced programmer
  • C) Somewhere in between — Know some basics, still learning

Step 2: Ask Questions Based on Level

Read part1-deepresearch.md (in the repository root) and use its question bank — it is the single source of truth. Follow the path matching the user's level:

  • Level A → "If User Selects A (Vibe-coder)" — Q1 through Q8
  • Level B → "If User Selects B (Developer)" — Q1 through Q8
  • Level C → "If User Selects C (In Between)" — Q1 through Q8

Ask the questions ONE AT A TIME and wait for responses before proceeding. (If part1-deepresearch.md is not present in the project, ask the user to paste it.)

Step 3: Verification Echo

After ALL questions are answered, summarize back to the user:

Let me confirm I understand your project:

Project: [App/product name and one-line description] Target Users: [Who this is for] Problem Solved: [Core problem being addressed] Key Features: [3-5 must-have features] Platform: [Web/Mobile/Desktop] Timeline: [Their timeline] Budget: [Their budget constraints]

Is this accurate? Should I adjust anything before creating your research prompt?

Step 4: Run the Research

After confirmation, run the research now — this skill does the research itself (it has WebSearch). Gather current information about:

  • Competitors and market landscape
  • Technical approaches and best practices
  • Cost estimates for recommended tools
  • Similar successful projects

Then write the research findings to docs/research-[AppName].md in the project directory.

Output Format

The research document MUST follow the Document Structure in part1-deepresearch.md exactly — organize findings under these exact section headings:

  1. Project name — product name and one-line description
  2. Core concept — what it is, the problem it solves, why now
  3. Target users — who it's for, their needs and pain points
  4. Technical decisions (if any) — recommended tools/platform (detailed architecture options are explored later in the Tech Design step)
  5. Competitor insights — similar solutions, what users love/hate, gaps to exploit
  6. Budget/timeline — cost estimates and launch timeframe
  7. Handoff Context — end the document with this block, filled in:

Handoff Context

<!-- Machine-readable summary for the next workflow step. Do not delete; the next prompt in the workflow reads this block. -->
  • Stage: research
  • App name: [app name]
  • User level: [A | B | C] (A = vibe coder, B = developer, C = in-between)
  • Target platform: [web / mobile / desktop]
  • Budget: [budget]
  • Timeline: [timeline]
  • Source files: research-[AppName].md

(Use the per-path phrasing from part1-deepresearch.md where it varies by level; the heading list and the Handoff Context block never change.)

After Completion

Tell the user:

Your research is saved to docs/research-[AppName].md.

Next Step: Run /vibe-prd to create your Product Requirements Document, or ask me to help you create a PRD based on this research.

When not to use it

  • Projects that do not require market validation
  • Tasks where the user has already completed technical planning

Limitations

  • Requires user input for each step of the research process
  • Limited to the research and validation phase of the vibe-coding workflow

How it compares

This workflow replaces manual research by providing a guided, step-by-step validation process that ensures all critical business and technical aspects are covered.

Compared to similar skills

vibe-research side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
vibe-research (this skill)14moNo flagsIntermediate
literature-review5592moReviewAdvanced
openalex-database487moReviewIntermediate
linkedin-sales-navigator-alt232moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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