How do I install the Requesthunt skill?

Run npx skillmds add tools-only/requesthunt in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Requesthunt safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Requesthunt?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Requesthunt free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Requesthunt?

tools-only (@tools-only) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Requesthunt by tools-only — Agent Skill

Name: Requesthunt
Rating: 4.5 (4 reviews)
Author: tools-only

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.

tools-only e56dba1 3 files · 8.1 KB Updated Sep 8, 2026 7 repo stars

File contents

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:

export REQUESTHUNT_API_KEY="your_api_key"

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

Quick Check:

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:

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
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:

# [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

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

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

python3 scripts/get_topics.py                                  # List all topics by category

Check Usage

python3 scripts/get_usage.py                                   # View API usage stats

Scrape Topic (Realtime)

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

---name: requesthuntdescription: 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.---# RequestHunt SkillGenerate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), and GitHub.## PrerequisitesSet API key in `~/.zshrc`:```bashexport REQUESTHUNT_API_KEY="your_api_key"```Get your key from: https://requesthunt.com/settings/api**Quick Check**:```bashcd <skill_directory>python3 scripts/get_usage.py```## Research WorkflowThis skill helps you generate comprehensive user demand research reports. Follow this workflow:### Step 1: Define ScopeBefore 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 topicpython3 scripts/scrape_topic.py "ai-coding-assistant" --platforms reddit,x,github# 2. Search with expansion for more datapython3 scripts/search_requests.py "code completion" --expand --limit 50# 3. List requests filtered by topicpython3 scripts/list_requests.py --topic "ai-tools" --limit 100```### Step 3: Generate ReportAnalyze 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- ...## MethodologyBased on N real user feedbacks collected via RequestHunt...```## CommandsAll commands run from the skill directory.### List Requests```bashpython3 scripts/list_requests.py --limit 20 # Recent requestspython3 scripts/list_requests.py --topic "ai-tools" --limit 10 # By topicpython3 scripts/list_requests.py --platforms reddit,github # By platformpython3 scripts/list_requests.py --category "Developer Tools" # By categorypython3 scripts/list_requests.py --sortBy top --limit 20 # Top voted```### Search Requests```bashpython3 scripts/search_requests.py "authentication" --limit 20python3 scripts/search_requests.py "oauth" --expand # With realtime expansionpython3 scripts/search_requests.py "API rate limit" --expand --platforms reddit,x```### Get Topics```bashpython3 scripts/get_topics.py # List all topics by category```### Check Usage```bashpython3 scripts/get_usage.py # View API usage stats```### Scrape Topic (Realtime)```bashpython3 scripts/scrape_topic.py "developer-tools" # Default: reddit,xpython3 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

Frequently asked questions