Requesthunt
This connects Claude to RequestHunt's CLI to scrape real user feedback from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon, then generate demand research reports. The platform selection guide is genuinely useful: it tells you Amazon and YouTube dominate for consumer hardware, Reddit crushes it for developer tools (176 requests found for newsletter tools), and LinkedIn works for B2B despite low volume. You run scrapes with depth and platform flags, then structure findings into markdown reports with pain points and feature requests ranked by engagement. The workflow assumes you'll clarify scope with users first, pick 2-3 platforms strategically, then synthesize the raw feedback into actionable product insights rather than dumping scraped content directly into context.
- skills.sh installs
- 1.8K
- GitHub stars
- 1.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add resciencelab/opc-skills --skill requesthunt --agent claude-codeInstalls into .claude/skills of the current project.
Files
RequestHunt Skill
Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), GitHub, YouTube, LinkedIn, and Amazon.
Prerequisites
Install the CLI and authenticate:
curl -fsSL https://requesthunt.com/cli | sh
requesthunt auth login
The installer downloads a pre-built binary from GitHub Releases and verifies its SHA256 checksum before installation. Alternatively, build from source with cargo install --path cli from the requesthunt-cli repository.
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, set the API key via environment variable (preferred):
export REQUESTHUNT_API_KEY="$YOUR_KEY"
Or save it to the local config file (created with owner-only permissions):
requesthunt config set-key "$YOUR_KEY"
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- Repository
- github.com/resciencelab/opc-skills
- Categories
- Git & Pull Requests, Data Science & ML
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