tinyfish-io/tinyfish-cookbook

project-idea-validator

Researches any project idea against live data from GitHub and Dev.to to surface what already exists, how mature the space is, and where the real opportunity lives.

查看源码

使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/tinyfish-io/tinyfish-cookbook --skill project-idea-validator

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

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:

powershell
Get-Command tinyfish; tinyfish --version

bash/zsh:

bash
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?

powershell
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):** powershell $env:TINYFISH_API_KEY="your_api_key_here" **Option 3 — PowerShell (persist across sessions):** powershell [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):** bash export TINYFISH_API_KEY="your_api_key_here" **Option 5 — Claude Code settings:** Add to ~/.claude/settings.local.json: 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

bash
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.

bash
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:

bash
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.

bash
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:

bash
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:

bash
# 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:

bash
# 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

bash
# 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.

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