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Project Idea Validator

Free

Validate your project ideas against existing solutions.

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Free · Opens the source repo

What Project Idea Validator does

The Project Idea Validator is a skill designed for developers and designers who want to assess the originality and viability of their project ideas before diving into development. By leveraging live data from GitHub and Dev.to, this skill provides a comprehensive analysis of existing projects and articles related to the proposed idea. It helps users understand the competitive landscape by identifying what has already been built, the popularity of those projects, and where opportunities for innovation may exist.

When a developer articulates an idea, such as creating a CLI tool for converting Figma designs to Tailwind components, the Project Idea Validator executes searches on both GitHub and Dev.to. It retrieves relevant repositories and articles, synthesizing this information into a structured gap analysis report. This report highlights existing solutions, assesses their maturity, and identifies gaps in the market that the new project could fill.

This skill is particularly useful for anyone looking to avoid redundancy in their projects, ensuring that they are not duplicating efforts that have already been made. By providing insights into the saturation of a specific market, it helps developers and designers make informed decisions about whether to proceed with their ideas or pivot towards more unique solutions. The skill is easy to use, requiring only a few commands to get started, making it accessible even for those who may not be deeply familiar with command-line interfaces.

Overall, the Project Idea Validator empowers users to validate their concepts effectively, saving time and resources by ensuring that their projects are both original and relevant in today's development landscape.

When to use it

Use this skill when you have a project idea and want to research its originality and market saturation before starting development.

When not to use it

This skill may not be suitable for ideas that are highly niche or experimental, where existing data may be sparse or unavailable.

What you can build with it

Validating a New App Idea

Before developing a new mobile app, use this skill to check for existing similar apps and assess market saturation.

Researching a Unique Tool

If you're considering building a niche tool, validate your idea against existing solutions to find gaps in the market.

Exploring Alternatives

When brainstorming alternatives to a popular tool, this skill can help identify what exists and how to differentiate your offering.

How to install Project Idea Validator

View source

1. Install with the skills CLI

npx skills add tinyfish-io/tinyfish-cookbook/project-idea-validator-skill --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by tinyfish-io

Project Idea Validator — Discover What Already Exists Before You Build

You have access to the TinyFish CLI (tinyfish), a tool that runs browser automations from the terminal using natural language goals. This skill uses it to search GitHub and Dev.to in parallel, then synthesizes results into a gap analysis report.

Pre-flight Check (REQUIRED)

Before making any TinyFish call, always run BOTH checks:

1. CLI installed?

PowerShell:

Get-Command tinyfish; tinyfish --version

bash/zsh:

which tinyfish && tinyfish --version || echo "TINYFISH_CLI_NOT_INSTALLED"

If not installed, stop and tell the user:

Install the TinyFish CLI: npm install -g @tiny-fish/cli

2. Authenticated?

tinyfish auth status

If not authenticated, stop and tell the user:

You need a TinyFish API key. Get one at: https://agent.tinyfish.ai/api-keys

Then authenticate:

Option 1 — CLI login (interactive):

tinyfish auth login

Option 2 — PowerShell (current session only):

$env:TINYFISH_API_KEY="your_api_key_here"

Option 3 — PowerShell (persist across sessions):

[System.Environment]::SetEnvironmentVariable("TINYFISH_API_KEY", "your_api_key_here", "User")

Then close and reopen PowerShell for it to take effect.

Option 4 — bash/zsh (Mac/Linux):

export TINYFISH_API_KEY="your_api_key_here"

Option 5 — Claude Code settings: Add to ~/.claude/settings.local.json:

{
  "env": {
    "TINYFISH_API_KEY": "your_api_key_here"
  }
}

Do NOT proceed until both checks pass.


What This Skill Does

Given a project idea (e.g. "a CLI tool that converts Figma designs to Tailwind components"), this skill:

  1. Searches GitHub for existing repos with similar purpose, tech stack, or keywords
  2. Searches Dev.to for articles, tutorials, or project showcases covering the same problem

It then synthesizes findings into a structured gap analysis: what exists, how mature it is, and where the opportunity still lives.


Core Command

tinyfish agent run --url <url> "<goal>"

Flags

FlagPurpose
--url <url>Target website URL
--syncWait for full result (no streaming)
--asyncSubmit and return immediately
--prettyHuman-readable formatted output

Step-by-Step Workflow

Step 1 — Search GitHub

Search for existing repositories matching the idea. Run with --sync since you need the full list before synthesizing.

tinyfish agent run --sync --url "https://github.com/search?q=<keywords>&type=repositories&s=stars&o=desc" \
  "Extract the top 10 search results as JSON: [{\"name\": str, \"owner\": str, \"description\": str, \"stars\": str, \"url\": str, \"last_updated\": str}]"

Example for a Figma-to-Tailwind CLI idea:

tinyfish agent run --sync \
  --url "https://github.com/search?q=figma+tailwind+cli&type=repositories&s=stars&o=desc" \
  "Extract the top 10 repositories as JSON: [{\"name\": str, \"owner\": str, \"description\": str, \"stars\": str, \"url\": str, \"last_updated\": str}]"

Step 2 — Search Dev.to

Search for articles and project posts covering the same problem space. Run in parallel with Step 1 results processing.

tinyfish agent run --sync --url "https://dev.to/search?q=<keywords>" \
  "Extract the top 10 articles as JSON: [{\"title\": str, \"author\": str, \"tags\": [str], \"published_at\": str, \"url\": str, \"reactions\": str}]"

Example:

tinyfish agent run --sync \
  --url "https://dev.to/search?q=figma+tailwind+component+generator" \
  "Extract the top 10 articles as JSON: [{\"title\": str, \"author\": str, \"tags\": [str], \"published_at\": str, \"url\": str, \"reactions\": str}]"

Parallel Execution

Steps 1 and 2 are independent — run them at the same time. Do NOT wait for GitHub before starting Dev.to.

Good — Parallel calls:

# Fire both simultaneously
tinyfish agent run --sync --url "https://github.com/search?q=<keywords>&type=repositories&s=stars&o=desc" \
  "Extract top 10 repositories as JSON: [{\"name\": str, \"owner\": str, \"description\": str, \"stars\": str, \"url\": str, \"last_updated\": str}]" &

tinyfish agent run --sync --url "https://dev.to/search?q=<keywords>" \
  "Extract top 10 articles as JSON: [{\"title\": str, \"author\": str, \"url\": str, \"reactions\": str}]" &

wait

Bad — Sequential calls:

# Don't do this — wastes time and gives the same results
tinyfish agent run --url "https://github.com/..." "...also search Dev.to..."

Each source is its own call. Always.


Step 3 — Synthesize Into a Gap Analysis

Once both sources return results, synthesize findings into this structure:

## Project Idea Validation: <idea title>

### What Already Exists
- <project/article> — <what it does, stars/reactions, last active>
- ...

### Maturity Assessment
- GitHub: <active / abandoned / fragmented>
- Dev.to coverage: <heavy / moderate / sparse>

### Gaps & Opportunities
- <specific gap #1>
- <specific gap #2>
- ...

### Verdict
<1–2 sentences: is the space crowded, open, or ripe for a better take?>

Use the raw JSON from both sources as input. Do not hallucinate repo names, star counts, or article titles — only use what TinyFish returned.


Keyword Strategy

The quality of results depends heavily on your search terms. Before running, derive 2–3 keyword variants from the idea:

IdeaPrimary keywordsVariant keywords
Figma-to-Tailwind CLIfigma tailwind clifigma css export, design token tailwind
AI code review botai code review githubllm pull request, automated code feedback
Markdown-to-Notion syncmarkdown notion syncnotion import cli, notion api markdown

Run separate parallel calls for each variant if the first pass returns sparse results.


Managing Runs

# List recent runs
tinyfish agent run list

# Get a specific run by ID
tinyfish agent run get <run_id>

# Cancel a running automation
tinyfish agent run cancel <run_id>

Output

The CLI streams data: {...} SSE lines by default. The final result is the event where type == "COMPLETE" and status == "COMPLETED" — the extracted data is in the resultJson field. Read the raw output directly; no script-side parsing is needed.

Frequently asked questions about Project Idea Validator

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