Find genuine google flights deals from a home airport with the Apify Google Flights Deals API Actor (johnvc/google-flights-deals-api). Give one IATA code and get the thirty cheapest destinations back as rows, each carrying the fare, what that route typically costs, the saving between them, and an is_below_typical flag. That flag is the point, because a cheap fare and a good deal are different things, and most of a cheapest-first list is short-haul that is cheap because it is close, not because the price is unusual. There is no arrival airport, the feed answers where can I go cheaply rather than what does this route cost. Filter by stops, cabin, budget, or trip length. Use when the user wants flight deals, cheap flights from an airport, fare drop discovery, or destination inspiration priced against a baseline. Pay per deal returned, MCP-ready for Claude and other AI agents.
Plugin apify-google-flights-deals from marketplace awesome-skills in chocholous/awesome-skills-sim. Commands read from the repo's manifest — 1 month ago.
apify-google-flights-dealsFind genuine google flights deals from a home airport with the Apify Google Flights Deals API Actor (johnvc/google-flights-deals-api). Give one IATA code and get the thirty cheapest destinations back as rows, each carrying the fare, what that route typically costs, the saving between them, and an is
Financial company intelligence — news monitoring (33 sources), social listening (Reddit, Twitter/X, Trustpilot), and public registry lookups (11 European countries). 3 skills + portfolio-sweep command.
3 skills · 1 command
Find and analyze scholarly research across the major open academic databases — search and rank papers by field-normalized impact, run a literature review, trace citation graphs, find similar / foundational / breakout papers, map a field's institutions and funders, compare institutions, build a citation-safe RAG corpus, check whether a preprint is safe to cite, mine biomedical entities and datasets, grade clinical evidence, and look up or disambiguate researchers. Covers all fields via OpenAlex, Semantic Scholar, arXiv, Crossref, PubMed, Europe PMC, CORE, DBLP, and ORCID. Use when someone wants academic papers, peer-reviewed studies, a literature or systematic review, an evidence summary, the most-cited or seminal papers, research trends, a research-funding or institution landscape, or a researcher profile — e.g. "find papers on...", "what does the research say about...", "summarize the literature on...", "who's winning this field".
1 skill
Validate, test, compare, and monitor your own Apify Actors across the full build-to-production lifecycle. Covers preflight input validation, multi-Actor pipeline validation, A/B comparison of two Actors for a production switch, post-run output validation (silent data failures), deploy-gate regression detection, fleet-wide quality scoring, PII/GDPR/ToS pre-publish risk triage, and fleet profit and next-action analytics. Most of these Actors return a stable decision enum (act_now / monitor / ignore, or switch_now / canary / no_call) that CI gates and AI agents can branch on without parsing prose; the fleet-wide Actors return a scorecard or prioritized action queue. Use when someone wants to test an Actor before publishing, validate an input or pipeline, decide between two Actors, catch broken output, gate a deploy, audit Actor quality, check compliance risk, or analyse fleet revenue.
1 skill
Research, 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.
1 skill
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.
1 skill
Extract APAC company, exchange, and financial-disclosure data via Apify Actors — Korea, Japan, Taiwan, China, Hong Kong, Singapore, India, and SE Asia. Use to look up company registries (Singapore ACRA/UEN, Japan 法人番号, India MCA/OGD), pull listed-company disclosures (Japan TDnet 適時開示, Taiwan MOPS, HKEX 披露易, SGX, India SEBI), track insider/large-shareholder filings (Japan EDINET 大量保有報告書, HKEX 董事股權變動, China A-share 高管增减持), screen stocks on Asian exchanges (KOSPI, TSE/日経225, TWSE, SGX/STI, NSE/BSE India, Eastmoney A-shares, plus Vietnam/Indonesia/Thailand/Philippines/Malaysia), follow IPO calendars (HKEX, Korea, pan-APAC), and check Asian regulator enforcement (Singapore MAS, HK SFC). Triggers — "company registry in Singapore/Japan/India", "listed-company filings in Korea/Taiwan/Hong Kong", "insider filings in Japan/HK/China", "screen Asian stocks / KOSPI / TSE / TWSE / SGX", "Asia IPO calendar", "MAS/SFC enforcement". Factual public data for research — not financial or investment advice.
1 skill
Manage the Carta CRM conversationally — search, add, update, and enrich investors, companies, contacts, deals, notes, and fundraisings via the Carta CRM MCP Server.
28 skills · hooks
Private equity deal sourcing and workflow tools: company discovery, CRM integration, and founder outreach
10 skills · 10 commands
Prep calls, summarize and follow up, research accounts, review deals and pipeline, and write the forecast, using the CRM, email, calendar and chat tools your team already uses, or uploaded files. Updates records, drafts or sends email, posts to chat and books meetings when you ask.
36 skills · 23 MCP servers
Per-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), finance (close+report).
8 skills · 9 commands · 1 agent
Capture a full DevTools-protocol trace (CDP firehose, screenshots, DOM dumps) alongside any browser automation, then bisect the stream into per-page searchable buckets. Use when the user wants to debug a failed run, audit network/console/DOM activity, attach a trace to an in-flight Browserbase session, or feed structured per-page summaries back into an agent loop.
18 skills
Per-stage model routing + pre-flight cost gate for Claude Code ultracode dynamic workflows. Pins an explicit model + effort on every agent() subagent stage, estimates cost before launch, and ships a static guard + PreToolUse gate that flag stages which would silently inherit the session's Opus model. Zero dependencies, no telemetry, MIT.
1 skill · 12 commands · hooks
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