ReddRadar
Agent skill
requesthunt
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
Install this agent skill to your Project
npx add-skill https://github.com/ReScienceLab/opc-skills/tree/main/skills/requesthunt
SKILL.md
RequestHunt Skill
Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), and GitHub.
Prerequisites
Install the CLI and authenticate:
curl -fsSL https://requesthunt.com/cli | sh
requesthunt auth login
The CLI displays a verification code and opens https://requesthunt.com/device — the human must enter the code to approve. Verify with:
requesthunt config show
Expected output contains: resolved_api_key: with a masked key value (not null).
For headless/CI environments, use a manual API key instead:
requesthunt config set-key rh_live_your_key
Get your key from: https://requesthunt.com/dashboard
Output Modes
Default output is TOON (Token-Oriented Object Notation) — structured and token-efficient.
Use --json for raw JSON or --human for table/key-value display.
Research Workflow
Step 1: Define Scope
Before collecting data, clarify with the user:
- Research Goal: What domain/area to investigate? (e.g., AI coding assistants, project management tools)
- Specific Products: Any products/competitors to focus on? (e.g., Cursor, GitHub Copilot)
- Platform Preference: Which platforms to prioritize? (reddit, x, github)
- Time Range: How recent should the feedback be?
- Report Purpose: Product planning / competitive analysis / market research?
Step 2: Collect Data
# 1. Trigger realtime scrape for the topic
requesthunt scrape start "ai-coding-assistant" --platforms reddit,x,github --depth 2
# 2. Search with expansion for more data
requesthunt search "code completion" --expand --limit 50
# 3. List requests filtered by topic
requesthunt list --topic "ai-tools" --limit 100
Step 3: Generate Report
Analyze collected data and generate a structured Markdown report:
# [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
Search
requesthunt search "authentication" --limit 20
requesthunt search "oauth" --expand # With realtime expansion
requesthunt search "API rate limit" --expand --platforms reddit,x
List
requesthunt list --limit 20 # Recent requests
requesthunt list --topic "ai-tools" --limit 10 # By topic
requesthunt list --platforms reddit,github # By platform
requesthunt list --category "Developer Tools" # By category
requesthunt list --sort top --limit 20 # Top voted
Scrape
requesthunt scrape start "developer-tools" --depth 1 # Default: all platforms
requesthunt scrape start "ai-assistant" --platforms reddit,x,github --depth 2
requesthunt scrape status "job_123" # Check job status
Reference
requesthunt topics # List all topics by category
requesthunt usage # View account stats
requesthunt config show # Check auth status
API Info
- Base URL: https://requesthunt.com
- Auth: Device code login (
requesthunt auth login) or manual API key - Rate Limits:
- Free tier: 100 credits/month, 10 req/min
- Pro tier: 2,000 credits/month, 60 req/min
- Costs:
- API call: 1 credit
- Scrape: depth x number of platforms credits
- Docs: https://requesthunt.com/docs
- Agent Setup: https://requesthunt.com/setup.md
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