requesthunt 是做什么的？
基于真实用户反馈生成用户需求研究报告。抓取并分析来自 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon 的功能请求、投诉和问题。当用户希望进行需求研究、查找功能请求、分析用户需求或运行 RequestHunt 查询时使用。
根据真实用户反馈生成用户需求研究报告。抓取并分析来自 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon 的功能请求、投诉和问题。
resciencelab/requesthunt 是一个 AI 技能，旨在自动抓取和分析来自多个主流平台的用户反馈，包括 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon。该技能能够提取功能请求、投诉和问题，并生成结构化的用户需求研究报告。它特别适用于产品经理、市场研究人员和开发者，帮助他们快速了解用户真实需求，识别潜在改进点。支持多平台聚合分析，无需手动搜集数据。使用方法简单，用户只需提供查询关键词或目标平台，即可触发抓取和分析流程，最终输出 Markdown 或 JSON 格式的报告。
npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/requesthuntInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
基于真实用户反馈生成用户需求研究报告。抓取并分析来自 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon 的功能请求、投诉和问题。当用户希望进行需求研究、查找功能请求、分析用户需求或运行 RequestHunt 查询时使用。
This repo contains 9 individual skills — each has its own dedicated page.
Create banners using AI image generation. Discuss format/style, generate variations, iterate with user feedback, crop to target ratio. Use when user wants to create a banner, header, hero image, cover image, GitHub banner, Twitter header, or readme banner.
Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.
Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.
Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.
Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API. Use when user mentions Product Hunt, PH, or product launches.
Search and retrieve content from Reddit. Get posts, comments, subreddit info, and user profiles via the public JSON API. Use when user mentions Reddit, a subreddit, or r/ links.
SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
Clear description of what this skill does and when to use it. Include trigger keywords and contexts inline, e.g. "Use when user wants to X, Y, or Z."
Search and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io. Use when user mentions Twitter, X, or tweets.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.