Install
Terminal · npx$
npx skills add https://github.com/resciencelab/opc-skills --skill requesthuntWorks with Paperclip
How Requesthunt fits into a Paperclip company.
Requesthunt drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
S
SaaS FactoryPaired
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
$27$59
Explore packSource file
SKILL.md190 linesExpandCollapse
---name: requesthuntdescription: Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, and LinkedIn. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.--- # RequestHunt Skill Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), GitHub, YouTube, and LinkedIn. ## Prerequisites Install the CLI and authenticate:```bashcurl -fsSL https://requesthunt.com/cli | shrequesthunt auth login``` The CLI displays a verification code and opens `https://requesthunt.com/device` — the human must enter the code to approve. Verify with:```bashrequesthunt 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:```bashrequesthunt 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. ## Platform Selection Guide Each platform captures different types of user feedback. Choose platforms based on the product category to maximize signal quality. ### Platform Strengths | Platform | Best For | Signal Type | Typical Yield ||----------|----------|-------------|---------------|| **YouTube** | Consumer products, hardware, lifestyle apps | Specific feature asks from review/tutorial comments | High (10-29 per topic) || **Reddit** | Developer tools, creator economy, niche communities | Deep technical discussions, long-tail needs | High for dev topics (up to 176) || **LinkedIn** | B2B software, healthcare, enterprise tools | Professional/industry opinions, market context | Low volume but high engagement || **X** | Trending topics, quick sentiment signals | Fragmented feedback, emotional reactions | Low-medium (1-6 per topic) || **GitHub** | Open-source tools, developer infrastructure | Concrete bugs and feature requests from issues | High for OSS, zero for non-tech | ### Recommended Platforms by Category | Category | Primary | Secondary | Notes ||----------|---------|-----------|-------|| **Automotive / Hardware** | YouTube | Reddit | Video review comments are the richest source (dashcams: 29, EVs: 19) || **Gaming / Entertainment** | YouTube | Reddit | Game streams and reviews generate natural feedback || **Travel / Transportation** | YouTube | LinkedIn | Travel vlogs + LinkedIn for business travel needs || **Social / Communication** | YouTube | Reddit | App review videos + community discussions || **Food / Dining** | YouTube | Reddit | Recipe and delivery app review comments || **Real Estate / Home** | YouTube | X | Interior design and renovation videos dominate || **Education / Learning** | YouTube | — | Tutorial video comments are the only reliable source || **Health / Medical** | LinkedIn | X | Rare LinkedIn-dominant category (professional healthcare) || **Creator Economy** | Reddit | GitHub | Reddit communities overwhelmingly active (Newsletter: 176 requests) || **Developer Tools** | Reddit | GitHub | Technical communities + open-source issue trackers || **AI / SaaS Products** | Reddit | LinkedIn | Reddit for user complaints, LinkedIn for industry analysis | ### Quick Selection Rules - **Consumer / hardware / lifestyle** → YouTube first, Reddit second- **Developer / creator tools** → Reddit first, GitHub second- **B2B / enterprise / medical** → LinkedIn first, X second- **Has open-source projects** → add GitHub- **Everything** → add X as a supplementary source ## Research Workflow ### Step 1: Define Scope Before collecting data, clarify with the user:1. **Research Goal**: What domain/area to investigate?2. **Specific Products**: Any products/competitors to focus on?3. **Platform Selection**: Use the guide above to pick 2-3 best platforms for the category4. **Time Range**: How recent should the feedback be?5. **Report Purpose**: Product planning / competitive analysis / market research? ### Step 2: Collect Data Choose platforms strategically based on the category: ```bash# Consumer hardware — YouTube-first strategyrequesthunt scrape start "smart home devices" --platforms youtube,reddit --depth 2 # Developer tools — Reddit-first strategyrequesthunt scrape start "code editors" --platforms reddit,github --depth 2 # B2B / enterprise — LinkedIn-first strategyrequesthunt scrape start "electronic health records" --platforms linkedin,x --depth 2 # Broad research — all platformsrequesthunt scrape start "AI coding assistants" --platforms reddit,x,github,youtube,linkedin --depth 2 # Search with expansion for more datarequesthunt search "dark mode" --expand --limit 50 # List requests filtered by topicrequesthunt list --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 (N), X (N), GitHub (N), YouTube (N), LinkedIn (N)- Platform Strategy: [why these platforms were chosen for this category]- Time Range: ... ## Key Findings ### 1. Top Feature Requests| Rank | Request | Platform | Votes | Representative Quote ||------|---------|----------|-------|---------------------| ### 2. Pain Points Analysis- **Pain Point A**: ...- Sources: [which platforms surfaced this] ### 3. Platform Signal Comparison| Insight | Reddit | YouTube | LinkedIn | X | GitHub ||---------|--------|---------|----------|---|--------|| Volume | ... | ... | ... | ... | ... || Signal type | Technical | UX/Feature | Strategic | Sentiment | Bug/FR | ### 4. Competitive Comparison (if specified)| Feature | Product A | Product B | User Expectations | ### 5. Opportunities- ... ## MethodologyBased on N real user feedbacks collected via RequestHunt from [platforms]...``` ## Commands ### Search```bashrequesthunt search "authentication" --limit 20requesthunt search "oauth" --expand # With realtime expansionrequesthunt search "API rate limit" --expand --platforms reddit,x,youtube``` ### List```bashrequesthunt list --limit 20 # Recent requestsrequesthunt list --topic "ai-tools" --limit 10 # By topicrequesthunt list --platforms reddit,github,youtube # By platformrequesthunt list --category "Developer Tools" # By categoryrequesthunt list --sort top --limit 20 # Top voted``` ### Scrape```bashrequesthunt scrape start "developer-tools" --depth 1 # Default: all platformsrequesthunt scrape start "ai-assistant" --platforms reddit,x,github,youtube,linkedin --depth 2requesthunt scrape status "job_123" # Check job status``` ### Reference```bashrequesthunt topics # List all topics by categoryrequesthunt usage # View account statsrequesthunt 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