Research & Search

apidojo-io Skill

Monitors tech acquisition news and M&A activity using apidojo's Google Search scraper. Triggers when the user asks to: track tech acquisition news, monitor M&A activity in a sector on Google, find recent tech company acquisitions, track acquisition announcements in a technology category, monitor who is being acquired in a startup ecosystem, find companies that were recently acquired or merged, or research M&A trends in an industry. Returns acquisition announcements, acquirer and target company, deal size signals, and strategic rationale. Ideal for M&A analysts, startup founders, investors, and competitive intelligence teams.

apidojo-io Skill

Discovers TikTok Shop sellers and product listings in a specific niche using apidojo's TikTok scraper on Apify. Triggers when the user asks to: find TikTok Shop sellers in a product category, discover what products are selling on TikTok Shop, identify top-selling items in a niche on TikTok, find competitors selling on TikTok Shop, research TikTok Shop product opportunities, discover trending products with affiliate links on TikTok, or build a database of TikTok Shop merchants. Returns seller handle, product name, price, estimated sales signals, and niche category. Ideal for e-commerce sellers, product researchers, affiliate marketers, and TikTok Shop entrants.

apidojo-io Skill

Extracts and analyzes YouTube comments for audience research using apidojo's YouTube scraper on Apify. Triggers when the user asks to: extract YouTube comments for research, analyze what viewers say in YouTube comments, scrape comments from a YouTube video for sentiment analysis, find common questions in YouTube comments, research audience feedback from YouTube video comments, extract top comments from a YouTube channel for audience insights, or analyze viewer reactions from YouTube comment sections. Returns comment text, likes on comment, reply count, commenter username, and timestamp. Ideal for content creators, brand researchers, product teams, and audience insight analysts.

apidojo-io Skill

Monitors Google News coverage for a brand using apidojo's Google Search scraper on Apify. Triggers when the user asks to: track news coverage about a brand on Google, monitor press mentions in Google News, find recent news articles mentioning a company, track media coverage for a brand or executive, monitor competitor news coverage, find press releases or news stories about a brand on Google, or research how a company is being covered in the press. Returns article title, publication, date, URL, and coverage sentiment per article. Ideal for PR agencies, communications teams, brand managers, and reputation monitoring services.

apidojo-io Skill

Tracks trending YouTube topics and video formats in a specific niche using apidojo's YouTube scraper on Apify. Triggers when the user asks to: find trending YouTube topics in a niche, discover what videos are getting views right now in a category, identify trending YouTube formats or themes in an industry, find high-performing YouTube video ideas from search trends, research what the YouTube algorithm is currently rewarding in a topic area, discover rising YouTube creators in a niche, or analyze what video angles perform best on YouTube in a category. Returns trending video titles, view counts, engagement metrics, format patterns, and topic themes. Ideal for YouTube content creators, video marketers, and brand video strategists.

apidojo-io Skill

Discovers pre-launch startups and products on Twitter using apidojo's Twitter Search scraper. Triggers when the user asks to: find pre-launch startups on Twitter, discover companies building in stealth mode on X, find products in beta or waitlist mode on Twitter, identify early-stage startups before they launch publicly, find founders building in public before launch, discover startup waitlists or beta invites on Twitter, or research what new companies are building in a space. Returns startup handle, product description, waitlist/launch signals, stage, and niche. Ideal for VCs scouting early deals, accelerator scouts, and competitive intelligence teams.

apidojo-io Skill

Finds trending Twitter topics and conversations for content ideation using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find trending topics on Twitter for content, discover what is being discussed in a niche on X right now, identify Twitter conversations to join with content, find trending hashtags in an industry on Twitter, research what topics are generating engagement in a space on X, discover viral tweet themes for blog or video content, or find what your target audience is talking about on Twitter this week. Returns trending topics, tweet volume signals, top engagement posts, and content angle suggestions. Ideal for content marketers, social media managers, newsletter writers, and real-time content teams.

apidojo-io Skill

Discovers trending and viral YouTube videos by category and country using apidojo's YouTube Trending Scraper on Apify. Triggers when the user asks to: find viral YouTube videos today, discover what's trending on YouTube in a specific country, get trending gaming or music videos on YouTube, find top YouTube videos this week by category, identify viral content on YouTube for inspiration, research what topics are dominating YouTube trending, or track trending YouTube content for content strategy. Returns video title, views, likes, channel info, duration, keywords, and thumbnail. Ideal for content strategists, YouTubers, and trend researchers.

kinginyellows Skill

Reference conventions for how yellow-research derives slugs, formats reports, and saves output under docs/research/. Use when authoring or modifying yellow-research commands or agents that write research output.

kinginyellows Bundle

Systematically find root causes and fix bugs. Use when debugging errors, investigating test failures, reproducing bugs from issue trackers (GitHub, Linear, Jira), or when stuck on a problem after failed fix attempts. Also use when the user says 'debug this', 'why is this failing', 'fix this bug', 'trace this error', or pastes stack traces, error messages, or issue references.

kinginyellows Bundle

Generate and critically evaluate grounded ideas about a topic. Use when asking what to improve, requesting idea generation, exploring surprising directions, or wanting the AI to proactively suggest strong options before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on X', 'surprise me', 'what would you change', or any request for AI-generated suggestions rather than refining the user's own idea.

kinginyellows Skill

Document a recently solved problem to compound your team's knowledge

kinginyellows Bundle

Review requirements or plan documents using parallel persona agents that surface role-specific issues. Use when a requirements document or plan document exists and the user wants to improve it.

kinginyellows Skill

Resolve PR review feedback by evaluating validity and fixing issues in parallel. Use when addressing PR review comments, resolving review threads, or fixing code review feedback.

hamza-ali-shahjahan Skill

Pull keyword data from GSC, Ahrefs Webmaster, and DataForSEO. Returns a clustered keyword brief.

hamza-ali-shahjahan Skill

Build content calendars and draft individual pieces — blog posts, social, LinkedIn, threads — anchored on keyword research and brand voice.

crawlora-org Bundle

Researches X (formerly Twitter) profiles and posts via the Crawlora API, returning clean JSON. Use when the user wants a public X profile's stats, a user's recent posts, or a single post's content/engagement — instead of scraping x.com or using the official (paid, rate-limited) X API.

crawlora-org Bundle

Researches H&M's catalog — storefront categories, product listings, product detail, free-text search, and nearby physical stores — using the Crawlora API, returning clean JSON. Use when the user asks to find a product on H&M, browse an H&M category, search H&M's catalog by keyword, pull an H&M product's colors/sizes/reviews, or find a nearby H&M store — instead of scraping hm.com.

crawlora-org Bundle

Researches books, authors, and audiobooks via the Crawlora API — Goodreads (books, authors, reviews, lists, quotes), Apple Books (books, audiobooks, series, reviews, charts), and Audible (audiobook catalog search, product detail, narrators/series, reviews, charts, editorial lists) — returning clean JSON. Use when the user wants a book's ratings/reviews, an author's bibliography, curated reading lists, or audiobook details and charts.

crawlora-org Bundle

Researches eBay listings, items, and sellers using the Crawlora API, returning clean JSON. Use when the user asks to search eBay, look up an item's details, or vet a seller's reputation and shop listings — instead of scraping eBay pages.

crawlora-org Bundle

Researches Nike's catalog — categories, search, product detail, colorways, reviews, and nearby stores — using the Crawlora API, returning clean JSON. Use when the user asks to find a Nike product, browse a Nike category, compare Nike colorways/prices, pull Nike product reviews, or locate nearby Nike stores — instead of scraping nike.com.

crawlora-org Bundle

Researches Ulta Beauty's catalog — categories, products, shades, questions, reviews, and nearby stores — using the Crawlora API, returning clean JSON. Use when the user asks to find a beauty product on Ulta, browse an Ulta category, pull product Q&A/reviews before recommending an item, or find a nearby Ulta store — instead of scraping ulta.com.

crawlora-org Bundle

Researches Wish's marketplace — categories, product search, product detail, related items, and reviews — using the Crawlora API, returning clean JSON. Use when the user asks to find a product on Wish, browse Wish categories, compare Wish product prices/ratings, or pull a Wish product's related items and reviews — instead of scraping wish.com.

crawlora-org Bundle

Researches Zara's catalog — category taxonomy, category listings, product detail, keyword search, search suggestions, and nearby physical stores — using the Crawlora API, returning clean JSON. Use when the user asks to find a product on Zara, browse a Zara category, search Zara's catalog by keyword, pull a Zara product's colors/sizes/images, or find a nearby Zara store — instead of scraping zara.com.

crawlora-org Bundle

Researches global news and US television coverage via the Crawlora API — GDELT web-news search/context/timeline/sentiment, plus GDELT Television 2.0 AI's index of US TV transcripts, captions, on-screen text, and visual labels — returning clean JSON. Use when the user wants coverage-volume or sentiment trends over time, cross-outlet news search, sentence-level co-occurrence search, or what US TV news said/showed about a topic — OSINT, media-monitoring, and political/social-science research.

crawlora-org Bundle

Researches Kohl's catalog by browsing its category taxonomy (products, prices, ratings, and facets), pulls product reviews by web_id, finds nearby Kohl's stores, and returns search-box typeahead suggestions — all via the Crawlora API as clean JSON. Use when the user asks to browse a Kohl's category, discover Kohl's product ideas for a query, pull reviews for a specific Kohl's item, or find nearby Kohl's stores — instead of scraping Kohls.com.

crawlora-org Bundle

Looks up a Macy's product's full detail and customer reviews by its numeric productId, and pulls Macy's own search-box (typeahead) suggestions, using the Crawlora API, returning clean JSON. Use when the user has (or can get) a Macy's product page ?ID= value and wants its price/description/variants/reviews, or wants Macy's autocomplete suggestions for a query — instead of scraping macys.com. There is no full-text product search or category browse — a known numeric productId is required as the entry point.

crawlora-org Bundle

Researches products, prices, availability, and search suggestions on Amazon (amazon.com) using the Crawlora API, returning clean JSON. Use when the user asks to find a product on Amazon, look up an ASIN's price/details, or pull Amazon autocomplete/keyword suggestions — instead of scraping Amazon pages.

crawlora-org Bundle

Researches Fiverr gigs and sellers via the Crawlora API — search gigs by keyword, pull a gig's full detail (packages, pricing tiers, rating, seller summary), and look up a seller's profile — returning clean JSON. Use when the user wants to find freelance gigs, compare gig pricing/packages, or vet a Fiverr seller.

crawlora-org Bundle

Researches video games via the Crawlora API — Steam (store pages, pricing, reviews, player counts, charts, tags, achievements) and PlayStation Store (products, categories, deals) — returning clean JSON. Use when the user wants a game's price/reviews/player count, what's trending or on sale, or a store listing's details.

crawlora-org Bundle

Searches Indeed job postings and pulls single job listings via the Crawlora API — keyword + location search, location autocomplete, and job detail by job key — returning clean JSON. Use when the user wants to search Indeed for jobs, look up location suggestions for an Indeed search, or fetch the full detail of a specific Indeed posting.

crawlora-org Bundle

Researches Reddit via the Crawlora API — subreddit posts/comments/about, a single post plus its comment thread, keyword search, user post/comment history, domain-linked posts, and hot/new/rising/top trends — returning clean JSON. Use when the user wants community sentiment, a post's discussion, a user's Reddit history, or trending topics on a subreddit or across Reddit, instead of scraping Reddit or using an unofficial client.

crawlora-org Bundle

Researches Target's catalog — categories, products, filters, prices, questions, and reviews — using the Crawlora API, returning clean JSON. Use when the user asks to find a product on Target, browse a Target category, compare Target prices/availability by store, or pull Target product Q&A and reviews — instead of scraping target.com.

crawlora-org Bundle

Researches Upwork job postings and freelancer profiles via the Crawlora API — search Upwork's public job listings by keyword, pull full detail on a specific job posting, or look up a freelancer's profile (rate, Job Success Score, ratings, feedback) — returning clean JSON. Use when the user wants to search Upwork jobs, read a specific Upwork job posting, or research an Upwork freelancer.

crawlora-org Bundle

Researches Zappos's footwear and apparel catalog — the brand directory, product search, and product detail (pricing, images, ratings, fit feedback, color variants) — using the Crawlora API, returning clean JSON. Use when the user asks to find a shoe or apparel item on Zappos, look up or browse a specific Zappos brand's catalog, or pull a Zappos product's pricing/rating/variant/fit detail — instead of scraping zappos.com.

crawlora-org Bundle

Researches Bonhams auctions and lots via the Crawlora API — upcoming and past sales, lot search, estimates, realized prices, departments, and auction detail — returning clean JSON. Use when the user wants auction-house research, comparable lots, sale calendars, or public estimate/realized-price data.