Latest Agent Skills

Searches for Instagram locations by name and retrieves paginated posts tagged at those locations, including captions, engagement counts, and media URLs.

Searches the internet via BrowserAct API when direct web access is restricted, extracting and structuring research data from multiple sources.

Extracts structured image metadata from Google Images via the BrowserAct API, including thumbnails, titles, source logos, and click-through URLs.

Extract structured product details from Amazon using an ASIN, including title, price, ratings, brand, and description via the BrowserAct API.

Extract a TikTok user's profile info and paginated video list with full metadata by navigating to their profile page.

Extract paginated video lists for a TikTok hashtag, including author profiles, engagement stats, music, and video metadata.

Deep-crawl any website from start URLs, returning per-page LLM-ready text, markdown, or HTML with metadata and in-scope outbound links.

Extracts structured news data from Google News via the BrowserAct API, including headlines, sources, publication times, and article links.

Extracts structured business data from Google Maps, including names, categories, contact info, ratings, and addresses, using the BrowserAct API.

Extract paginated TikTok video search results for a given keyword, including author details, engagement stats, music info, and video metadata.

Scrapes posts from any public Facebook Page timeline, returning structured data including post text, engagement metrics, reaction breakdowns, hashtags, external links, and media type. Supports date range filtering and cursor-based pagination.

Extract structured product launch data from Product Hunt leaderboards, enriched with maker profiles and website contact information.

Search LinkedIn job listings with filters for work type, contract type, experience level, and date posted, then extract full job details including descriptions and salary.

Scrapes Amazon product data from ASINs using browseract.com automation API and performs competitive analysis, comparing specifications, pricing, review quality, and visual strategies.

Extracts complete metadata from a TikTok video page by reading SSR-embedded data, including author profile, engagement stats, music info, hashtags, and slideshow images.

Search Xiaohongshu (RedNote) by keyword and extract paginated note results with title, author, engagement stats, cover image, and xsecToken for detail lookup.

Extract paginated customer reviews from Trustpilot for any company domain, with optional filters for star rating, language, verification status, company replies, date period, keyword search, and reviewer country.

Extracts timestamped transcripts from YouTube videos and reformats them into summaries, chapter outlines, Twitter threads, blog posts, or notable quotes.

Collects tweets from an X (Twitter) user profile timeline by handle, supporting tweets, replies, or media-only modes, and returns structured data with engagement metrics and pagination.

Search X (Twitter) by keyword, read tweet content, generate contextual replies from a configured brand persona, and post them using browser automation.

Extracts structured data from Google Search results pages, including organic listings, paid ads, related searches, People Also Ask, and AI Overview.

Extract complete product information from any e-commerce product page using a universal multi-layer extraction strategy.

Extract Amazon product reviews by ASIN using the BrowserAct API, returning structured data including ratings, text, reviewer info, and verified purchase status.

Extracts structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications, using the BrowserAct API.

Extract structured video metrics and channel information from YouTube by keyword search using the BrowserAct API, with no CAPTCHA or IP restrictions.

Extract structured job listing data from Indeed search results, including job titles, companies, salaries, descriptions, benefits, and apply links.

Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs.

Scrapes tweets from X (Twitter) by search query, user handle, or direct URL, returning structured data including text, author info, engagement metrics, media, and hashtags.

Scrapes tweets from any X (Twitter) URL — search results, user profile, single tweet detail, or list timeline — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, and cursor for pagination.

Automates X (Twitter) DM workflows: scan inbox, read conversations, generate persona-based replies, and send messages. Also supports searching users and starting new conversations with rate control and E2E passcode unlock.

Extract full product details from Taobao or Tmall product pages by item ID, including title, price, shop info, images, SKU variants, and attributes.

Search Taobao and Tmall product listings by keyword, returning paginated product cards with title, price, shop, image, sales, and tags.

Extracts seller or merchant profile data from marketplace platform seller pages, including name, rating, review count, feedback percentage, joined date, and return policy.

Builds authentic-looking Reddit accounts through a 30-day progression and uses them to promote brands. Manages state files locally and uses browser-act CLI for all Reddit-facing operations.

Navigate a Taobao or Tmall shop's catalog page to extract paginated product listings including itemId, title, and image URL.

Extracts second-hand item search results from Goofish (闲鱼), China's largest second-hand marketplace. Input a keyword and optional sort/filter parameters to receive a list of item cards with ID, title, price, image, location, and want-count.

Extracts full detail data from a single Goofish (闲鱼) second-hand item page, including title, price, seller info, description, images, tags, and want-count.

Extract customer reviews from e-commerce product pages, returning reviewer name, rating, date, title, body, verified purchase status, and helpful votes. Supports Amazon, WooCommerce, Shopify, and generic sites with pagination.

Extract paginated product listings from e-commerce category pages, search results, or keyword searches with filters like price, brand, rating, and stock status. Supports Amazon, eBay, Walmart, Shopify, WooCommerce, and Google Shopping.

Automates question submission to Amazon's Alexa/Rufus AI shopping assistant and collects structured response data, with optional keyword search context for category-specific answers.

Turns any website's data extraction or operation needs into reusable Agent-callable Skill packages by exploring API endpoints or DOM methods, then generating SKILL.md and Python scripts.

Automates browser tasks including navigation, data extraction, screenshots, form filling, and session management via a CLI tool.

Review git diffs or file scopes for code reuse, quality, efficiency, and clarity issues, then optionally apply safe, behavior-preserving fixes.

Identify render hotspots, isolate expensive updates, and apply targeted React optimizations without changing UI behavior.

Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation.

Diagnose and fix SwiftUI performance issues like slow rendering, janky scrolling, and high CPU/memory usage through code review and profiling guidance.

Review and fix Swift Concurrency issues in Swift 6.2+ codebases by applying actor isolation, Sendable safety, and modern concurrency patterns with minimal behavior changes.

Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project, including custom .app bundle assembly, signing, notarization, and appcast generation.

Build, refactor, or review macOS menubar apps that use Tuist and SwiftUI, with a focus on Tuist-first workflows, strict architecture boundaries, and reliable local launch scripts.

Refactor SwiftUI views toward small, explicit, stable view types with MV data flow, dedicated subviews, and correct Observation usage.

Build or review SwiftUI features using the iOS 26+ Liquid Glass API with native modifiers, container patterns, and performance-aware guidance.

Build SwiftUI views and components with best practices, navigation patterns, state management, and reusable component references.

Analyze a project's past sessions, memory files, and existing local skills to recommend the highest-value skills to create or update.

Generate user-facing App Store release notes by collecting and summarizing user-impacting changes from git history since the last tag.

Build, run, and debug iOS projects on a booted simulator using XcodeBuildMCP tools. Interact with the UI, capture logs, and diagnose runtime behavior.

Investigates bugs, regressions, and crashes by dispatching four parallel read-only sub-agents, then ranks hypotheses and recommends the fastest proof or fix path.

Launches four parallel read-only sub-agents to review a git diff or file scope for regressions, security risks, performance issues, and contract gaps, then aggregates findings into a prioritized fix path.

Interact with GitHub repositories using the `gh` CLI to manage issues, pull requests, CI runs, and query the GitHub API.

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax.

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries for database-like note management.