fsr-stack
fsr-stack에는 felipesalinasr에서 수집한 skills 10개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Live, fully bilingual lodging market intelligence for a hotel's city (English and Spanish, auto-selected from the user's language). Given a destination and dates, it blends the competing supply across Airbnb, Booking.com, Expedia/Hotels.com, Vrbo and Hostelworld into a branded Google Sheet command center, a sortable comp set with price and occupancy heat maps, a day-by-day demand calendar, a voice-of-guest read, a rate-parity tab (same property across channels with verify links and capture dates), and a one-screen summary that ends in three concrete moves. Built for hotels and hotel associations who want to understand and out-position the short-term-rental and OTA competition. Also triggers on Spanish requests like 'pulso de mercado', 'set competitivo', 'lectura de tarifas', or 'reporte de mercado STR'.
Use when the user provides a LinkedIn post URL and wants to run the full pipeline from commenters to a live cold outreach campaign on Instantly, storing leads in Google Sheets instead of Airtable. Triggers on phrases like "linkedin comment to outreach gsheets", "scrape and email with sheets", "linkedin pipeline google sheets", or any request combining LinkedIn post scraping with cold email outreach where Google Sheets is the storage layer. Also use when the user explicitly asks for the Google Sheets version of the linkedin-to-outreach pipeline.
Use when the user provides a LinkedIn post URL and wants to run the full pipeline from commenters to a live cold outreach campaign on Instantly, including phrases like "linkedin comment to outreach", "scrape and email", "run the linkedin pipeline", or "outreach from linkedin commenters".
Use when launching a cold email sequence on Instantly.ai, loading leads into an Instantly campaign, connecting an Instantly account, or running the final stage of a cold-email pipeline that hands off to Instantly's v2 REST API.
Use when a LinkedIn commenter or reaction scrape has just produced a JSON file of leads that need to be persisted to Airtable, when downstream skills (apollo-enrichment, instantly-campaign) require structured records with stable IDs, or when the user says "load into airtable", "store leads in airtable", or "create airtable table for commenters".
Use when LinkedIn commenter or reaction records exist in Airtable and need verified B2B emails, company info, titles, and locations before cold outreach, or when running downstream of the airtable-lead-loader skill in a LinkedIn-to-outreach pipeline.
Use when writing a 3-email cold outreach sequence, drip campaign, or multi-step prospect email copy, including downstream of any lead enrichment step that produced a list of cold contacts needing personalized opener, follow-up, and breakup emails.
Use when a user provides a LinkedIn post URL and wants to extract every commenter (full name, headline, profile URL, company, comment text) for outreach, lead generation, or analysis via the Apify actor harvestapi/linkedin-post-comments.
Use when the user wants to extract everyone who reacted (liked, celebrated, etc.) to a specific LinkedIn post for outreach, lead generation, or audience analysis, or pastes a LinkedIn post URL with intent like "scrape reactions", "who liked this post", or "get reactors". Returns full enriched profiles via Apify.
Use when the user wants to turn LinkedIn post reactors (likes, celebrates, loves) into a paused Instantly cold email campaign, mentions a "reactions pipeline", asks to "scrape reactions and email them", or pastes a LinkedIn post URL with intent to reach the people who reacted. Orchestrates five sub-skills (reaction scraping, Airtable loading, Apollo enrichment, sequence writing, Instantly setup) and produces a paused campaign ready for review.