AI Opportunity Scout

针对用户给定的细分领域，借助 exec 调用 bird 检索 Twitter，用 web_search 覆盖网络、Reddit 与 Product Hunt，并在 AI/agent 领域用 ClawHub 搜索；从原始数据提取未满足需求，按需求度、竞争、可行性、变现各 1-5 分评分，生成含 Top 3 建议与全量表格的排序机会报告。

avnikulin35

热度 71.23

最近更新 2026-05-17 13:01:34

分类：营销依赖：代码执行 / 读写文件 / 第三方 API应用场景：市场分析 / 研究 / 推荐 / 报告撰写 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add opportunity-scout

Metadata

name: opportunity-scout
description: Find profitable business opportunities in any niche by scanning Twitter, web, Reddit, and Product Hunt for unmet needs and pain points. Scores each opportunity on Demand, Competition, Feasibility, and Monetization (1-5 each, max 20). Generates a ranked report with actionable recommendations. Use when asked to find business ideas, market gaps, product opportunities, or "what should I build" questions. Also triggers on: market research, niche analysis, opportunity hunting, trend scouting, competitive analysis for new products.

AI Opportunity Scout

Find what people need → evaluate if you can build it → decide if it's worth it.

Quick Start

When the user specifies a niche (e.g. "AI agents", "crypto trading", "SaaS tools"):

Run the scout pipeline below
Score each finding with scripts/scout.py
Present the ranked report

Scout Pipeline

Step 1: Gather Data (use your built-in tools)

Run these searches, adapting queries to the user's niche:

Twitter (via exec):

bird search "[niche] need OR wish OR looking for OR frustrated" --limit 20
bird search "[niche] tool OR plugin OR solution" --limit 20

Web (via web_search tool):

"[niche] pain points 2026"
"[niche] tools people want"
"site:reddit.com [niche] need OR wish OR looking for"
"site:producthunt.com [niche]"

ClawHub (if niche is AI/agent related):

clawdhub search "[niche keyword]"

Step 2: Identify Opportunities

From the raw data, extract distinct opportunities. Each opportunity = a specific unmet need that could become a product. Look for:

Repeated complaints/requests (same problem mentioned 3+ times)
Gaps between what exists and what people want
Problems with existing solutions (too expensive, too complex, missing features)
Emerging trends without established solutions

Step 3: Score Each Opportunity

Run the scoring script:

python3 scripts/scout.py score --input opportunities.json --output report.md

Or score manually using these criteria (1-5 each):

Criterion	5 (Best)	3 (Medium)	1 (Worst)
Demand	50+ people asking	10-20 mentions	1-2 mentions
Competition	No solutions exist	Some solutions, all flawed	Saturated market
Feasibility	Build MVP in 1-2 days	1-2 weeks	Months of work
Monetization	People actively paying for similar	Freemium possible	Hard to charge

Total Score interpretation:

16-20: 🔥 BUILD IT NOW
12-15: 👍 Strong opportunity, worth pursuing
8-11: 🤔 Monitor, not urgent
4-7: ❌ Skip

Detailed scoring examples: see references/scoring-guide.md

Step 4: Generate Report

Format results as:

# Opportunity Scout: [Niche] — [Date]

## 🏆 Top 3 Opportunities

### 1. [Name] (Score: X/20)
- **Problem:** [What people need]
- **Evidence:** [Links/quotes from research]
- **Scores:** D:[X] C:[X] F:[X] M:[X]
- **Action:** [What to build, how long, how to monetize]

### 2. [Name] (Score: X/20)
...

## All Findings

| # | Opportunity | D | C | F | M | Total | Verdict |
|---|------------|---|---|---|---|-------|---------|
| 1 | ... | | | | | | |

## Recommendation
[Which to build first and why]

Depth Modes

--depth quick: 2 Twitter + 2 web searches. Fast scan, ~2 min.
--depth normal: 4 Twitter + 4 web + ClawHub. Standard, ~5 min.
--depth deep: 6 Twitter + 8 web + ClawHub + Reddit deep dive. Thorough, ~10 min.

Tips

Focus on problems people PAY to solve, not just complain about
"I wish..." and "Does anyone know a tool for..." = strongest signals
Check if existing solutions are abandoned/unmaintained — easy to replace
Crypto/finance niches: high monetization but also high competition
Niche down: "AI agent for dentists" beats "AI agent" every time