Agent skill

requesthunt

Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.

ReScienceLabgithub.com/ReScienceLabGitHub ↗
claude-codeApache-2.0
Install
npx skills add ReScienceLab/opc-skills --skill requesthunt --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/requesthunt/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,192
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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: ```bash curl -fsSL https://requesthunt.com/cli | sh requesthunt auth login ``` The installer downloads a pre-built binary from [GitHub Releases](https://github.com/ReScienceLab/requesthunt-cli/releases) and verifies its SHA256 checksum before installation. Alternatively, build from source with `cargo install --path cli` from the [requesthunt-cli](https://github.com/ReScienceLab/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: ```bash 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): ```bash export REQUESTHUNT_API_KEY="$YOUR_KEY" ``` Or save it to the local config file (created with owner-only permissions): ```bash requesthunt config set-key "$YOUR_KEY" ``` Get your key from: https://requesthunt.com/dashboar

What's inside
Steps it walks through
  1. Prerequisites
  2. Output Modes
  3. Platform Selection Guide
  4. Platform Strengths
  5. Recommended Platforms by Category
  6. Quick Selection Rules
  7. Research Workflow
  8. Step 1: Define Scope
  9. Step 2: Collect Data
  10. Step 3: Generate Report
  11. Content Safety
  12. Commands
  13. Search
  14. List
Ships with 3 files
  • .claude-plugin/plugin.json
  • examples/calendar-app-research.md
  • examples/scheduling-tools-research-report.md
Commands it runs
curl -fsSL https://requesthunt.com/cli | sh
requesthunt auth login
requesthunt config show
export REQUESTHUNT_API_KEY="$YOUR_KEY"
requesthunt config set-key "$YOUR_KEY"
Consumer hardware — YouTube-first strategy
requesthunt scrape start "smart home devices" --platforms youtube,reddit --depth 2
Developer tools — Reddit-first strategy
requesthunt scrape start "code editors" --platforms reddit,github --depth 2
B2B / enterprise — LinkedIn-first strategy
More from opc-skills
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About this skill
What does the requesthunt skill do?

Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.

How do I install it?

Run `npx skills add ReScienceLab/opc-skills --skill requesthunt --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ReScienceLab/opc-skills, a repository with 1,192 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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