Requesthunt Resciencelab Opc Skills

---
name: requesthunt
description: Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub.
triggers:
  - "requesthunt"
  - "request hunt"
  - "feature request"
  - "user demand"
  - "demand research"
  - "用户需求"
  - "需求调研"
---

# RequestHunt Skill

Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), and GitHub.

## Prerequisites

Set API key in `~/.zshrc`:
```bash
export REQUESTHUNT_API_KEY="your_api_key"
```

Get your key from: https://requesthunt.com/settings/api

**Quick Check**:
```bash
cd <skill_directory>
python3 scripts/get_usage.py
```

## Research Workflow

This skill helps you generate comprehensive user demand research reports. Follow this workflow:

### Step 1: Define Scope

Before collecting data, clarify with the user:
1. **Research Goal**: What domain/area to investigate? (e.g., AI coding assistants, project management tools)
2. **Specific Products**: Any products/competitors to focus on? (e.g., Cursor, GitHub Copilot)
3. **Platform Preference**: Which platforms to prioritize? (reddit, x, github)
4. **Time Range**: How recent should the feedback be?
5. **Report Purpose**: Product planning / competitive analysis / market research?

### Step 2: Collect Data

```bash
# 1. Trigger realtime scrape for the topic
python3 scripts/scrape_topic.py "ai-coding-assistant" --platforms reddit,x,github

# 2. Search with expansion for more data
python3 scripts/search_requests.py "code completion" --expand --limit 50

# 3. List requests filtered by topic
python3 scripts/list_requests.py --topic "ai-tools" --limit 100
```

### Step 3: Generate Report

Analyze collected data and generate a structured Markdown report:

```markdown
# [Topic] User Demand Research Report

## Overview
- Scope: ...
- Data Sources: Reddit (X), X (Y), GitHub (Z)
- Time Range: ...

## Key Findings

### 1. Top Feature Requests
| Rank | Request | Sources | Representative Quote |
|------|---------|---------|---------------------|

### 2. Pain Points Analysis
- **Pain Point A**: ...

### 3. Competitive Comparison (if specified)
| Feature | Product A | Product B | User Expectations |

### 4. Opportunities
- ...

## Methodology
Based on N real user feedbacks collected via RequestHunt...
```

## Commands

All commands run from the skill directory.

### List Requests
```bash
python3 scripts/list_requests.py --limit 20                    # Recent requests
python3 scripts/list_requests.py --topic "ai-tools" --limit 10 # By topic
python3 scripts/list_requests.py --platforms reddit,github     # By platform
python3 scripts/list_requests.py --category "Developer Tools"  # By category
python3 scripts/list_requests.py --sortBy top --limit 20       # Top voted
```

### Search Requests
```bash
python3 scripts/search_requests.py "authentication" --limit 20
python3 scripts/search_requests.py "oauth" --expand            # With realtime expansion
python3 scripts/search_requests.py "API rate limit" --expand --platforms reddit,x
```

### Get Topics
```bash
python3 scripts/get_topics.py                                  # List all topics by category
```

### Check Usage
```bash
python3 scripts/get_usage.py                                   # View API usage stats
```

### Scrape Topic (Realtime)
```bash
python3 scripts/scrape_topic.py "developer-tools"              # Default: reddit,x
python3 scripts/scrape_topic.py "ai-assistant" --platforms reddit,x,github
```

## API Info
- **Base URL**: https://requesthunt.com
- **Auth**: Bearer token (API key)
- **Rate Limits**: 
  - Cached requests: 1000/month
  - Realtime requests: 500/month (scraping is expensive)
- **Docs**: https://requesthunt.com/docs