リポジトリの README を読み込んでいます…
収集済み skill 21 件中 21 件を表示しています。
Get verified emails and phones for contacts found by people-search. Takes LinkedIn profiles from the Extruct people table and enriches them via contact enrichment providers like Prospeo or Fullenrich. Supports single-provider and waterfall modes. Outputs a…
原文の言語: 英語
Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and the entry angle. Powered by Extruct Deep Research — ONE cited…
原文の言語: 英語
Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up. Generates one primary draft plus 1-2 variants, then runs a self-check lint. Reads voice, sender identity, positioning, proof, and banned…
原文の言語: 英語
Validate email addresses before campaign sending. Takes a contact CSV, validates each email via a verification provider, removes invalid/do_not_mail/abuse/catch-all/unknown addresses, and optionally cleans them from sequencer campaigns. Outputs a verified CSV…
原文の言語: 英語
Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled. Deterministic — variant routing + placeholder substitution, no per-row LLM call. The render contract (newline model, per-target escaping,…
原文の言語: 英語
Design a cold-outreach email sequence as a FIXED TEMPLATE SET — real, human-approved copy with {{input_field}} placeholders and variant-routing rules. Reads the company context file and campaign research, explores angles, and commits to copy at design time.…
原文の言語: 英語
Upload finalized emails for sequencing and sending. Maps fields to lead schema, creates or finds campaigns, uploads leads with dedup, and provides a pre-send verification checklist. Triggers on: "upload to instantly", "run instantly", "send emails",…
原文の言語: 英語
Extract people who engage (comment, react, repost) on a LinkedIn post, enrich their profile / email / company data, and land them in a local SQLite CRM (content.db → crm.db) as the source of truth. Extruct people-table upload is optional. Triggers on: "post…
原文の言語: 英語
Manage and reply to lead responses in Instantly unibox. Fetches unread conversations, classifies reply intent, drafts contextual responses, and sends replies via Instantly API. Fits after campaign-sending in the GTM pipeline. Triggers on: "reply to leads",…
原文の言語: 英語
Deep persona simulation and skeptical buyer review for cold emails. Builds a full prospect "world" from LinkedIn + company data, defines their professional reality (KPIs, pain points, inbox behavior), then runs a skeptical buyer roast — emotional reaction…
原文の言語: 英語
Set up and run competitive intelligence monitoring. Discover competitors via user input, lookalike search, web research, or G2/review sites, then create an Extruct company table with research columns for blog, social media, news, key people, and business…
原文の言語: 英語
Run explicit Extruct API tasks through the bundled Extruct CLI. Covers Deep Search, semantic search, lookalike search, company and people tables, column operations, enrichment, and contact finding.
原文の言語: 英語
Build targeted company lists for outbound campaigns using Extruct. Use when the user wants to: (1) find companies matching an ICP, (2) build a prospect or outbound list, (3) search for companies by description, (4) discover companies in a market segment, (5)…
原文の言語: 英語
Add research-powered enrichment columns to Extruct company tables. Use when the user wants to add enrichment columns (e.g. funding, verticals, tech stack) to an existing Extruct table, run column configs from enrichment-design, or monitor enrichment progress.…
原文の言語: 英語
Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength. Outputs a tiered, segmented list ready for email generation. Triggers on: "segment", "tier", "segment…
原文の言語: 英語
Find LinkedIn profiles of decision makers at target companies using Extruct's company_people_finder. Takes a company table, adds a people finder column, and produces a linked child people table with names, roles, and LinkedIn URLs. No external API credits —…
原文の言語: 英語
Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns. Handles the full flow: parse input (CSV, pasted list, or structured data), create or reuse a table, upload domains in batches, add agent columns, and…
原文の言語: 英語
Build and maintain a global company context file that all other GTM skills read from. Captures product info, voice rules, ICP, win cases, proof library, campaign history, hypotheses, and DNC lists. Supports four modes: create (new context), update (append to…
原文の言語: 英語
Research a target vertical's pain points using deep research APIs and distill findings into a numbered hypothesis set. Pure industry education tool — decoupled from email generation. Use when the user wants to understand a market before outreach, form…
原文の言語: 英語
Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs…
原文の言語: 英語
Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input. Fast, no API keys needed — pure reasoning. Outputs a hypothesis set with search angles that directly guide list-building queries. Sits between…
原文の言語: 英語
このプロンプトをコピーして、使用中の AI アシスタントに送ってください。
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/extruct-ai/gtm-skills.README を読み込めませんでした。リポジトリの Skill 一覧は下で引き続き確認できます。