resciencelab/opc-skills▌

Find and purchase domain names at the best price with availability checks and registrar comparison. \n \n Generates 5-10 creative, brandable domain suggestions based on project description, then verifies availability via WHOIS or registrar search before presenting options \n Compares prices across major registrars (Spaceship, Cloudflare, Namecheap, Porkbun, Dynadot) and surfaces renewal costs alongside registration fees \n Searches Twitter and Reddit for active promo codes from registrar account

Optimize websites for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search. \n \n Covers both GEO (Generative Engine Optimization) for AI search engines and traditional SEO for Google/Bing, with platform-specific strategies for each engine \n Includes 9 Princeton GEO methods with documented visibility boosts, schema markup templates (FAQPage, Article, Product, Organization), and meta tag optimization \n Provides audit workflows for technical SEO, keyword resear

AI-powered logo design with iterative refinement, background removal, and SVG export. \n \n Guides users through discovery (style, ratio, colors) before generating 20 initial logo variations using AI image generation \n Includes batch generation, HTML preview gallery, and iterative feedback loops to refine designs across multiple rounds \n Provides post-processing tools: automatic whitespace cropping, background removal via remove.bg API, and vectorization to SVG format \n Requires three API key

Search and retrieve Reddit posts, comments, subreddit info, and user profiles via the public JSON API. \n \n Requires no API key; uses Reddit's public JSON endpoint accessible by appending .json to any URL \n Supports four main command categories: subreddit posts with sorting (hot, new, top, rising, controversial), cross-subreddit search, subreddit metadata, and user profiles with optional post history \n Includes flexible filtering: sort by time range (hour through all-time), set result limits,

Search and retrieve Product Hunt posts, topics, users, and collections via GraphQL API. \n \n Four command categories: posts (by slug/ID, featured, filtered by topic or date), topics (lookup and search), users (profile and post history), and collections (featured and by ID) \n Requires a Product Hunt developer token set as PRODUCTHUNT_ACCESS_TOKEN environment variable \n Rate limited to 6250 complexity points per 15 minutes; includes built-in scripts for quick validation and data retrieval \n

Capture, index, and reuse project knowledge across sessions.

AI-powered banner creation with iterative design feedback and platform-specific cropping. \n \n Guides users through discovery phase to gather requirements (purpose, target ratio, style, content elements, colors) before generation \n Generates 20 banner variations at 21:9 ratio using the nanobanana skill, then crops to target formats (2:1 for GitHub, 3:1 for Twitter, 16:9 for websites) \n Includes HTML preview template for browsing variations and iterating based on user feedback \n Supports imag

Collect and analyze real user feedback from Reddit, X, and GitHub to generate demand research reports. \n \n Scrapes feature requests, complaints, and questions across three platforms with filtering by topic, category, platform, and time range \n Includes search with real-time expansion, topic browsing, and sorting by popularity to identify top user demands \n Provides structured workflow from scope definition through data collection to formatted Markdown report generation \n Rate-limited API wi

Search and retrieve tweets, user profiles, followers, communities, spaces, and trends from Twitter/X. \n \n Covers 30+ commands across user profiles, tweets, lists, communities, and spaces with configurable result limits \n Supports advanced tweet search with filters for date ranges, media, engagement thresholds, and user-specific queries \n Includes thread extraction, quote/retweet retrieval, relationship checking, and trend lookups by geographic region \n Requires API key from twitterapi.io (~

Text-to-image and image editing powered by Google's Gemini 3 Pro Image model. \n \n Supports text-to-image generation, image editing with natural language prompts, and batch generation of multiple variations \n Offers flexible aspect ratios (1:1, 16:9, 21:9, etc.) and high-resolution output up to 4K for enhanced detail \n Includes optional Google Search grounding for factually accurate images of real people, places, and landmarks \n Provides both command-line scripts and Python API for direct in

Brief description of the skill and its purpose.