requesthunt 是做什麼的？
從真實使用者回饋中生成使用者需求研究報告。從 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon 上抓取並分析功能請求、投訴和問題。當使用者想要進行需求研究、尋找功能請求、分析使用者需求或執行 RequestHunt 查詢時使用。
從真實使用者回饋中生成使用者需求研究報告。從 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon 上抓取並分析功能請求、投訴和問題。當使用者想要進行需求研究、尋找功能請求、分析使用者需求或執行 RequestHunt 查詢時使用。
這是一個專為開發者與 AI 代理設計的技能，能夠從多個主流平台（Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon）自動抓取真實使用者回饋，並生成結構化的使用者需求研究報告。技能會自動識別常見的功能請求、痛點、投訴與疑問，幫助團隊快速掌握市場需求與競爭機會。在 Claude Code、Cursor 或 Codex 等 AI 代理環境中，開發者只需描述需求，技能便會從指定來源收集資料並整合為可操作的報告。此技能特別適合產品經理、市場研究人員以及創業者，協助他們在不手動搜尋的情況下，快速驗證產品方向或發現未滿足的使用者需求。透過自動化的爬蟲與分析流程，RequestHunt 顯著縮短了從使用者回饋到可執行洞察的時間。
npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/requesthuntInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
從真實使用者回饋中生成使用者需求研究報告。從 Reddit、X、GitHub、YouTube、LinkedIn 和 Amazon 上抓取並分析功能請求、投訴和問題。當使用者想要進行需求研究、尋找功能請求、分析使用者需求或執行 RequestHunt 查詢時使用。
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.