Gere relatórios de pesquisa de demanda de usuários a partir de feedback real. Extraia e analise solicitações de recursos, reclamações e perguntas do Reddit, X, GitHub, YouTube, LinkedIn e Amazon. Use quando o usuário quiser fazer pesquisa de demanda, encontrar solicitações de recursos, analisar a demanda do usuário ou executar consultas do RequestHunt.
O resciencelab/requesthunt é uma habilidade de agente de IA projetada para gerar relatórios abrangentes de pesquisa de demanda de usuários, analisando feedbacks reais de várias plataformas online. Ele automatiza a coleta e análise de solicitações de recursos, reclamações e perguntas de fontes como Reddit, X, GitHub, YouTube, LinkedIn e Amazon, oferecendo uma visão aprofundada das necessidades reais dos usuários. A habilidade ajuda desenvolvedores e gerentes de produto a entender o que os usuários estão pedindo, identificar pontos problemáticos e descobrir oportunidades de mercado sem exigir mineração manual de dados. Ao estruturar os resultados em relatórios acionáveis, o RequestHunt otimiza o processo de pesquisa de demanda, apoiando a tomada de decisão baseada em dados para startups, equipes de produto e inovadores.
npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/requesthuntInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Gere relatórios de pesquisa de demanda de usuários a partir de feedback real. Extraia e analise solicitações de recursos, reclamações e perguntas do Reddit, X, GitHub, YouTube, LinkedIn e Amazon. Use quando o usuário quiser fazer pesquisa de demanda, encontrar solicitações de recursos, analisar a demanda do usuário ou executar consultas do RequestHunt.
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.