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tomasblatak

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7 published skills

  1. ▌
    MCP Master · tomasblatak
    End-to-end Leadspicker pipeline orchestrator for the MCP server: enrich, classify, personalize, and create an outreach sequence in a single workflow. Use this skill whenever the user wants to prepare a Leadspicker project for outreach from scratch — for example "prepare project for outreach", "run full pipeline", "enrich and create sequence", "set up outreach for project 12345", "we sell X to Y, prepare the project", "připrav projekt na outreach", "spusť celou pipeline", "připrav data a sekvenci", or any request that combines multiple Leadspicker steps (enrichment + classification + personalization + outreach sequence) into one flow. Triggers when the user describes their business and target audience alongside a Leadspicker project name or ID.
    0 installs
  2. ▌
    MCP Robots · tomasblatak
    Creates and launches Leadspicker robots (automations) that scrape LinkedIn data and deposit leads into projects, through the Leadspicker MCP server. Supports 4 robot types: scraping likers and commenters from specific LinkedIn posts, monitoring new posts by LinkedIn profiles or companies, searching LinkedIn posts by keywords, and LinkedIn people search via Sales Navigator URLs, normal LinkedIn people search, or event attendees. Use whenever the user wants to create, launch, or start a robot or automation in Leadspicker — in any language. Triggers on scraping LinkedIn posts, extracting post likers or commenters, monitoring posts from profiles or companies, searching LinkedIn content by keywords or topics, LinkedIn people search, Sales Navigator search, event attendees scraping, or pasting LinkedIn URLs with a request to scrape, monitor, or search. Triggers on direct robot type references: li_posts_extract, li_posts_monitor, li_posts_feed, salesnav_monitor.
    0 installs
  3. ▌
    MCP Outreach · tomasblatak
    Creates outreach sequences (email, LinkedIn, or multi-channel) for Leadspicker projects through the Leadspicker MCP server. Triggers on: "sequence", "outreach", "campaign", "email sequence", "LinkedIn sequence", "multi-channel", "follow-up", "sekvence", "kampaň", "oslovení", "cold email", "connection request", "inmail", "message sequence". Builds the whole sequence graph in a single MCP `create_sequence` call (never chains step-by-step).
    0 installs
  4. ▌
    MCP Ab Testing · tomasblatak
    Splits contacts from a Leadspicker project into N equal random batches for A/B testing, through the Leadspicker MCP server. Use whenever the user wants to split, divide, or distribute contacts across multiple projects for testing — for example "A/B test my leads", "split contacts into two projects", "divide my project into 3 groups", "copy half the contacts to another project", "create test groups from my list", "AB test", "split do projektů", "rozděl kontakty", "rozděl projekt na části". Triggers on splitting or distributing contacts across Leadspicker projects for any experimental or campaign comparison purpose.
    0 installs
  5. ▌
    MCP Personalizer · tomasblatak
    Generates short personalization hooks, icebreakers, salutations, and vocatives for cold email campaigns in Leadspicker projects through the Leadspicker MCP server, using GPT-4o-Mini behind the scenes. Use whenever the user wants to create personalized opening lines, hooks, greetings, salutations, vocative forms, or any short text fragment for outreach — for example "create a website hook", "write an icebreaker from LinkedIn posts", "generate Czech salutation", "personalize the opening line", "create vocative from first name", "napiš oslovení", "vytvoř personalizaci", "úvodní věta", "hook z webu", "icebreaker z příspěvků", or any request to add a personalization column. Triggers on personalization, opening lines, hooks, icebreakers, greetings, formal address, vocative case, name declension, or multi-language salutations in the context of Leadspicker.
    0 installs
  6. ▌
    MCP Classification · tomasblatak
    Creates AI-powered classification and data processing magic columns in Leadspicker projects through the Leadspicker MCP server, using GPT-4o-Mini behind the scenes. Use whenever the user wants to classify, score, label, tag, clean, or transform contact / company data in Leadspicker — for example "classify companies as SaaS", "is this person a decision maker", "determine company industry", "clean job titles", "create an icebreaker from LinkedIn posts", "is the company B2B or B2C", "classify leads as relevant", "chci klasifikovat firmy", "urči odvětví", "vyčisti název firmy", "je ten člověk relevantní", or any request to add an AI-powered magic column. Triggers on AI classification, lead scoring, contact tagging, data cleaning, or personalization columns in the context of Leadspicker.
    0 installs
  7. ▌
    MCP Data Enrichment · tomasblatak
    Orchestrates data preparation and enrichment for contacts in Leadspicker projects through the Leadspicker MCP server. Runs built-in enrichment columns (email finding, email validation, LinkedIn data, company website summaries, department headcounts) and AI-powered magic columns in the right sequence via MCP tools. Use this skill whenever the user wants to enrich, prepare, or augment contact data in Leadspicker — for example "obohat kontakty o emaily", "enrichni projekt o LinkedIn data", "prepare data for outreach", "add company info to my leads", "find emails for my contacts", "run full enrichment pipeline", or any request to add data columns to a Leadspicker project. Triggers on Leadspicker enrichment, data preparation, contact augmentation, or running multiple enrichment steps in sequence — even when the user just says "prepare my data" or "enrich my leads" in the context of Leadspicker.
    0 installs