1,039 件 ・ 関連度順
概要と使いどころ
One-shot brand-faithful presales redesign of a website page. The user provides only the URL; everything else — extraction, tension identification, three differentiated variants (one fully cinematic), validation — is derived from the captured brand surface. Use when the user asks to "uplift", "refresh", or "redesign a site for presales" without wanting to coordinate the extract / direct / prototype chain themselves.
日本語の概要は準備中です。原文の説明を表示しています。
Generate full prospect audit as a sales tool before demos. Combines company research, CRO audit, and person intel into a presentable document with talking points and opportunity sizing.
日本語の概要は準備中です。原文の説明を表示しています。
営業・提携・資金調達の候補者を調べて優先順位を付け、共通の知人を通じた紹介経路を探し、相手の近況と送り手の文体に合わせてメールやSNSの連絡文を下書きします。
複数店舗の販売データや商品の特性をもとに、需要予測、安全在庫、発注量を検討するスキル。販促後の需要減少や季節商品の値下げ時期まで計画を支援します。
類似企業の売上・利益率・評価倍率を比較するExcelを作成します。計算式、中央値や四分位、データの出典をまとめ、投資や買収の検討に使う比較資料を整えます。
A retail sales-floor training on consultative selling — the flow, the role-plays, and the daily habit that lifts conversion. Built as a decision-grade professional training deck for store associates, floor managers.
日本語の概要は準備中です。原文の説明を表示しています。
Create and edit .pptx presentation decks with PptxGenJS. Useful for sales decks, kickoff briefs, and design-system showcases.
日本語の概要は準備中です。原文の説明を表示しています。
Dynamics 365 Automation: manage CRM contacts, accounts, leads, opportunities, sales orders, invoices, and cases via the Dynamics CRM Web API
日本語の概要は準備中です。原文の説明を表示しています。
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
日本語の概要は準備中です。原文の説明を表示しています。
Read and manage the user's QuickBooks business through Intuit's official MCP server, including reports, invoices, customers, products, payment links, sales settings, and industry benchmarks.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and operate a Shopify store with Shopify's official MCP server (the installed `shopify` command, NOT the npm Shopify CLI). Use when someone wants to sell online, start a store or business, or manage a Shopify store — even if they do not say "Shopify": "sell candles online", "open my first store", "add products", "check my orders", "set inventory", "make a discount", "show my sales". Before connection it can show relevant mock.shop sample catalogs, suggest business names, check domains, search shopify.dev, and validate GraphQL. The connect flow can create an account and store for a new user. Keywords: Shopify MCP, ecommerce, sample products, starter catalog, ShopifyQL, first store, create product.
日本語の概要は準備中です。原文の説明を表示しています。
Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler. Based on Wikipedia's "Signs of AI writing."
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find leads," "lead list," "outbound list," "target account list," "ICP-fit accounts," "find local businesses," "find my first customers," "design partners," "signal-based outbound," "buying signals," "intent data," "job change alerts," "waterfall enrichment," "Clay table," "lookalike accounts," "catch-all emails," "account tiering," or "research this account before I reach out." Always verify emails before they reach a sequence, and never scrape LinkedIn. Define audiences in Sales Navigator and pull contacts from licensed data. Covers list building, signals, enrichment, verification, and account research. For the outreach itself (copy, sending setup, LinkedIn, cadences, replies), see cold-email. For researching competitors, see competitor-profiling.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.
日本語の概要は準備中です。原文の説明を表示しています。
Strategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the "stale MAP equals dead deal" pattern.
日本語の概要は準備中です。原文の説明を表示しています。
Author a NEW skin for the reskinnable-demo app. A skin is a self-contained domain plugin under src/skins/<id>/ that implements the frozen `Skin` contract (src/shell/skin-contract.ts) to swap the app's entire experience — brand, theme, layout, pages, tools, data, and agent — as a live sales demo. Use when the user says "add a skin", "create a skin", "new skin", "reskin the app", "make a <domain> skin", or wants the app re-themed as a new product. Do NOT use for editing the shell itself (src/shell/**), the shared token vocabulary (src/app/globals.css), or the shipped skins unless explicitly asked.
日本語の概要は準備中です。原文の説明を表示しています。
Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.
日本語の概要は準備中です。原文の説明を表示しています。
Find people, companies, posts, jobs, service providers and groups on LinkedIn with the Curviate CLI. Covers `search people|companies|posts|jobs|services|groups`, running a pasted LinkedIn search URL directly, the `group` read commands, pagination with `--all`, and the filter traps that silently return unfiltered results. Use when sourcing prospects or candidates, qualifying companies, finding posts or job postings to engage with, or resolving a group.
日本語の概要は準備中です。原文の説明を表示しています。
The first run: install the Curviate CLI, authenticate this machine with `curviate setup`, confirm with `curviate doctor`, connect a LinkedIn account, and prove the whole path works by reading the same profile live and then from the store. Use when Curviate is being set up for the first time, when `curviate` is not installed or not authenticated, when a command fails with a credential or account error, or when someone asks how to get started. Reads only: it issues no write of any kind.
日本語の概要は準備中です。原文の説明を表示しています。
Create and engage with LinkedIn content using the Curviate CLI. Covers `post` (get, create, react, unreact, reactions, delete, save, saved, unsave, user-posts, user-reactions), `comment` (list, add, reply, edit, delete, replies, react, unreact, reactions, user), `feed home` and `notification`. Carries the write-versus-read reaction vocabularies, post-identifier forms, and the pagination trap on reaction lists. Use when posting, commenting, reacting, reading the home feed, or working through notifications.
日本語の概要は準備中です。原文の説明を表示しています。
Create, publish and manage classic LinkedIn job postings with the Curviate CLI, and read their applicants. Covers `job` (get, list, create, update, budget, publish, close) and `job applicants` / `job applicant get|resume`, the draft-then-publish flow, the subscription gate that stops a publish even on the free mode, and the read-back delay after an update. Use when drafting or updating a posting, pricing or publishing one, closing one, or pulling applicants and résumés.
日本語の概要は準備中です。原文の説明を表示しています。
Read and write LinkedIn profiles and company pages with the Curviate CLI, and resolve human search terms into the opaque filter ids the search commands need. Covers `profile` (me, detail, sections, update, subscription, analytics, visitors, SSI), `company` (detail, employees, posts, jobs, followers, page inbox, follow-invite), `search parameters`, retrieval mode (`--mode`/`--max-age`), and the session/account commands (`login`, `config`, `account`). Use when fetching or updating a member or company profile, resolving a filter id, choosing between a stored copy and a live LinkedIn read, or connecting an account.
日本語の概要は準備中です。原文の説明を表示しています。
Grow and manage a LinkedIn network with the Curviate CLI. Covers `connect` (send with a note, sent, received, accept, decline, cancel), `profile follow`/`unfollow`, `profile relations`, `profile followers` and `profile following`, the de-duplication signal for a connect loop, and the invitation propagation delay. Use when sending or withdrawing connection requests, triaging received invitations, following a member, or listing connections and followers.
日本語の概要は準備中です。原文の説明を表示しています。
Read and send LinkedIn messages with the Curviate CLI. Covers `inbox` (list, get, messages, search, mark-read), `inboxes` (personal and company-page discovery), `message` (new, send, get, edit, delete, react, attachment, InMail), replying as a company page, retrieval mode (`--mode`/`--max-age`) on the two inbox reads, and `webhook` for delivery of message events. Use when triaging conversations, reading a thread, sending or replying to a DM or InMail, or wiring event delivery.
日本語の概要は準備中です。原文の説明を表示しています。