5.555 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenResearch, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X (Twitter — promoted tweets, best-effort) using Apify Actors. Use when user asks about competitor ads, ad library research, winning creatives, ad copy analysis, landing page audits from ads, cross-platform ad audits, brand transparency checks, or any task involving paid ad creatives, advertiser data, or ad targeting from public ad libraries.
Track whether a brand and its competitors get cited or mentioned across Google AI Overviews, Google AI Mode, ChatGPT Search, Perplexity, Microsoft Copilot, and Google Gemini for a defined set of prompts, on a recurring schedule. Use when user asks to track AI visibility, monitor brand mentions in AI search, track ChatGPT citations, do AI search SEO tracking, GEO tracking (Generative Engine Optimization), AEO tracking (Answer Engine Optimization), monitor Perplexity citations, track AI Overviews mentions, see if their brand shows up in AI search, discover which prompts competitors rank for in AI search, find citation opportunities, or audit a website for AI visibility readiness.
Pull structured Apple App Store and Google Play data — app metadata, price, rating, the 1–5★ ratings histogram, version, developer, and reviews — and watch it for changes over time. Use when the user asks to look up an iOS or Android app by App ID, bundle ID, package name or app name, compare a set of competitor apps across both stores, monitor a competitor's price or rating for changes, track when an app ships a new version, scrape App Store or Google Play reviews, resolve a bundle ID to a full app record, check an app's rating across multiple country storefronts, build an ASO or app-market dataset, or set up a recurring app-store watch on an app's price, rating and version. One routed Actor, praise-most-high/app-store-intelligence, is built by this skill's author; every other row is unaffiliated (see Disclosure).
"Scrape Ashby jobs or discover companies using Ashby with the Apify Ashby Job Board API Actor (johnvc/ashby-job-board-scraper). Job mode returns live job rows with title, company, location, remote and employment fields, publish date, apply URL, employer-published salary columns, equity flag, and Markdown descriptions. Company mode finds Ashby boards from a bundled directory or checks a prospect list, returning company name, board slug and URL, live open-job count, and verification fields. Takes company names, board slugs, or board URLs; supports pre-billing job filters and publishedAfter feeds. Use for Ashby jobs data or API requests, salary and remote-role collection, job-board pipelines, companies using Ashby/Ashby customers, ATS market maps, prospect checks, and recruiting or sales target lists. Billed per delivered result with no start fee, and MCP-ready for Claude and other AI agents."
Diagnose and recover a scrape that is blocked, throttled, or served empty or partial content, in cost order, before paying for a heavier Actor. Use when a run returns 0 items, when a site answers 403, 429 or a challenge page, when the HTML comes back empty or truncated, when a request fails with no response at all, when the page shows data in a browser that the Actor does not see, or when a scraper that worked yesterday suddenly returns nothing. Triggers - "I'm getting blocked", "403 from the site", "429 rate limited", "Cloudflare challenge", "scraper returns empty results", "connection reset", "page loads in my browser but not in the Actor", "do I need residential proxies", "should I switch to a browser", "my scraper broke overnight". Escalates in cost order - a cheaper published source first, then reachability, request rate and IP spread, request fidelity, session tokens, the site's own internal API, browser last.
Find and enrich B2B leads from Booking.com - hotels, apartments, and vacation rentals - and pull each host's or property manager's real contact details (email, phone, company name, registration number). Use when the user says things like "get emails from Booking.com", "Booking.com lead generation", "find tour operator / property manager / host contacts", "scrape accommodation owner emails", or "build a list of Booking hosts". The host's email is usually already inside the Booking scraper's traderInfo field (EU/AU trader-transparency disclosure) - this skill leads with that and uses a Google Maps email scraper only as a fallback, instead of relying on Google Maps first (which mostly returns the wrong business).
Set up a recurring buying-signal detection pipeline that finds companies showing buying intent across three signal types — job postings (hiring for the persona), fundraising events (recent raises), and LinkedIn content (pain-point posts, hiring announcements) — then aggregates results into a deduplicated leads.csv with the signal source, evidence URL, and detection timestamp per row. Split-schedule architecture — Apify Actor Tasks pull raw data on their own cadence, a Claude-side aggregation task normalizes, deduplicates against a blacklist, and appends new leads with a weekly-idempotent guard. Use when the user says "find companies with buying signals", "detect intent signals for outbound", "set up a weekly lead pipeline", "monitor hiring signals for lead gen", "track startup funding leads", "find LinkedIn buying signals", "schedule Apify Actors for prospecting", "build a signals-based lead list", or "set up buying-intent monitoring for my ICP".
"Pull structured B2B company data from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api). Give it company profile URLs or bare slugs and get one JSON record per company: name, website, rating, review_count, verification badges, min_project_size, hourly_rate, employees, founded_year, headquarters and every office location, languages, service_lines and focus_areas with percentages, industries, clients, cost_rating, most_common_project_size, pricing_by_service, and published packages. Each profile row can also carry LLM-ready markdown at no extra fetch, and verified client reviews as their own rows. Use when someone wants a company data api, to enrich a CRM with firmographics and service mix, pull B2B service provider records, or turn a list of agency profiles into structured company data as JSON. Billed per profile delivered with no start fee, and MCP-ready for Claude and other AI agents."
Find creators and their published contact emails in one run. Routes "find YouTube channels about <niche> with emails", "get the email for these TikTok / Instagram handles", "build a micro-influencer outreach list", "creator email finder", "influencer contact list for a sponsorship campaign" and "alert me when new creators appear in <niche>" to a single Actor that discovers YouTube channels by keyword, optionally hops to the Instagram and TikTok profiles those channels link, enriches user-supplied TikTok and Instagram handles, crawls each creator's linked site for an email, MX-verifies it and scores every row 0-100 in one 51-column schema. No login, no API key. Use when the user asks to scrape creator or influencer emails, find YouTube creators by topic, enrich a list of TikTok or Instagram usernames with contact details, or set up a weekly new-creator watch. Does not search TikTok or Instagram by keyword or hashtag.
This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring signals", "content strategy", "SEO battle", "build a battlecard", "competitive analysis", "who are the players", "who competes with", "market intelligence", "competitive positioning", "deep dive on a company", "board prep", "SWOT analysis", "how does [X] compare to [Y]", or mentions competitor analysis, pricing comparison, customer sentiment, or market landscape research. Requires Apify CLI or Apify MCP server.
Scrape e-commerce data for pricing, reviews, bestsellers, and seller discovery across 30+ platforms including Amazon, Walmart, eBay, Shopify, WooCommerce, and more. Use when user asks about product prices, competitor analysis, store scraping, tech stack detection, food delivery, real estate, or marketplace intelligence.
Build a local-business lead database from Google Maps in one Apify pipeline: search by target audience + geography, enrich each place with company contacts from its website, leads enrichment (names, emails, phones, LinkedIn), Instagram + Facebook profiles, and optionally reviews for lead scoring. For places with no named contacts, escalate to apify/ai-web-scraper to pull owner / decision-maker names from the business website. Backfill missing phones via scalelist/phone-finder and missing emails via scalelist/email-finder. Use when the user asks to build a lead list from Google Maps, scrape local businesses, generate B2B leads by city/industry, find owner/decision-maker contacts for restaurants / dentists / gyms / hotels / any local vertical, score leads by review volume or rating, or says "Google Maps lead-gen pipeline", "leads from Maps", "prospect local businesses", "scrape Google Maps for outreach", "find companies in <city>", or mentions chaining Google Maps + AI web scraper + Scal
Discover Instagram brand–creator partnerships by chaining Apify Actors. Use when the user asks who collabs with a brand, which brands a creator has done paid posts for, wants to audit an influencer's branded-content history, or wants to scope a brand's sponsorship roster. **Triggers:** - "who collabs with [brand] on Instagram?" - "what brands has [creator] done sponsored posts for?" - "find paid partnerships / branded content for [handle]" - "audit [influencer]'s brand deals" - "show me [brand]'s influencer roster" Works in either direction — brand → creators or creator → brands — and detects direction from the data, so don't ask the user to declare it. Requires Apify MCP tools.
Map any Instagram Reels niche end to end with Apify Actors, then turn what works into hooks for your own content. Finds the reels that already won (Popular search + hashtags), shortlists creators who reach people consistently (median plays, topic share, activity), separates real outliers from weak baselines (lift vs the creator's own median, share rate), transcribes only the winners, groups their hooks into patterns, and rewrites the user's own reel idea, script or caption with those patterns. Use when the user asks to research a niche on Instagram, find the best creators or influencers in a topic, see which reels perform, find outlier or viral reels, study hooks, get hook ideas, or improve a reel hook using what works in their niche — even if they don't say "niche map". Also for weekly re-runs of an earlier map.
Pull job postings from many boards in one run and prepare one validated, deduplicated table. Routes "find jobs / scrape job postings / build a job list / monitor new jobs / track a company's careers page" requests to a multi-board job scraper (LinkedIn, Indeed, Glassdoor, The Muse plus keyless boards) or a remote-only aggregator (RemoteOK, We Work Remotely, Remotive, Jobicy, Himalayas, HN Who is hiring), with output-locality checks, per-board raw/qualified/deduplicated counts, only-new-jobs monitoring, per-board caps and honest cost estimates. Use when the user asks to scrape jobs across job boards, get Indeed or Glassdoor postings without an API key, collect remote developer jobs, watch a company's Greenhouse/Lever/Ashby careers page, or set up a daily new-jobs alert.
Extract clean, de-noised job-posting data from LinkedIn, Indeed, Glassdoor, and 20+ boards in one Apify run — deduplicated across boards, with likely ghost jobs and reposts flagged (heuristic, not verified) and fields normalized — then analyze it (deduped hiring demand, in-demand skills, coverage-labeled salary distribution), export it (CSV / JSON / Apify dataset) for dashboards and BI, or rank it against a résumé. Use when the user asks to scrape job postings, build a job dataset, analyze hiring demand or in-demand skills or salary ranges for a role or market, export job data for a dashboard or spreadsheet, dedupe job listings across boards, flag or filter out likely ghost jobs, or rank jobs by fit to a résumé. Triggers - "scrape job postings for X", "what skills are in demand for Y", "salary range for Z in [location]", "export job data to CSV", "filter out the ghost jobs", "which of these jobs fit my résumé".
Score and enrich a CSV of B2B leads using Apify Actors. Takes a CSV with company URLs, free-text scoring rules, and an enrichment preference; runs BuiltWith (tech stack), Website Content Crawler (content classification), and Contact Info Scraper (company metadata) for scoring; enriches with either department-specific contacts (Contact Info Scraper + Bulk Email Finder fallback) or copywriter discovery (Google Search Scraper → AI Web Scraper → Bulk Email Finder). Outputs an enriched CSV with a numeric score and a per-lead outreach_hook column that personalizes cold email copy (e.g. "uses Shopify → send Shopify install guide"). Use when user asks to score leads, qualify leads, enrich a lead list, detect a company's tech stack for outreach, find marketing/sales/engineering contacts at a list of companies, hunt down blog copywriters for guest-post pitches, personalize cold email at scale, or turn a raw domain list into a ready-to-pitch account list.
Find sites ranking for target keywords, score every prospect with Ahrefs domain authority and page-level traffic, identify the strongest pitch angle per row ("links to competitor", "mentions brand without linking", "top-3 SERP", "resource page", "outdated content"), generate brand-voice-matched outreach emails using an outreach-type-aware template (unlinked-mention claim, competitor-link replacement, resource-page inclusion, outdated-content replacement, topical niche-edit), and propose a concrete in-article link placement as three artifacts — the verbatim source sentence, the same sentence rewritten with the link spliced in, or a fully-drafted new insertion if no natural fit exists. Use when user asks to find link building opportunities, prospect link partners, recover unlinked brand mentions, replace competitor links, build a tiered outreach list, or run cold email outreach for SEO link building.
Build a local-business lead list without scraping Google Maps. Routes "find dentists / plumbers / salons / restaurants in <city> with emails", "business email finder for <category> in <city>", "web-design prospects with no website or a weak one", "enrich my list of business websites with verified emails", "leads within 5 km of an address" and "alert me when new businesses appear" to an OpenStreetMap-based Actor that crawls each business's own website and returns one 73-column row per business with an MX-verified email, phone, social profiles, website platform and a 0-100 lead score. No Google Maps, no API key, no proxy, no login; every filter runs before billing. Use when the user wants local B2B leads for cold email or calls, a Google Maps alternative that avoids Google's terms, a bring-your-own-website-list enrichment pass, or a scheduled new-business watch for one category and city.
"Build a marketing agency database from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api). Point it at any Clutch directory or category or location URL and get one JSON row per listed agency: name, profile_url, website, rating, review_count, verification, min_project_size, hourly_rate, employees, location, and service_lines. Pagination and cross-page de-duplication are handled for you, so one company is never billed twice. Use when someone wants a marketing agency database, a list of digital marketing agencies, a B2B agency directory as structured data, top agencies by service or city, or to export agencies from Clutch into a spreadsheet, CRM, or vector store. Billed per listing delivered with no start fee, and MCP-ready for Claude and other AI agents."
