「email」の検索結果

This skill applies brand guidelines to content creation. It should be used when the user asks to "write an email", "draft a proposal", "create a pitch deck", "write a LinkedIn post", "draft a presentation", "write a Slack message", "draft sales content", or any content creation request where brand voice should be applied. Also triggers on "on-brand", "brand voice", "enforce voice", "apply brand guidelines", "brand-aligned content", "write in our voice", "use our brand tone", "make this sound like us", "rewrite this in our tone", or "this doesn't sound on-brand". Not for generating guidelines from scratch (use guideline-generation) or discovering brand materials (use discover-brand).

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。

Use when an agent is asked to draft, rewrite, edit, review, polish, copyedit, simplify, humanize, or create written prose, including creative writing, essays, posts, scripts, speeches, emails, documentation, product copy, and other style-sensitive text. Apply George Orwell's six rules and ASD-STE100 Simplified Technical English as a plain-English discipline while preserving the user's intended meaning, audience, tone, and explicit constraints.

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。

Configure TOTP authenticator apps, send OTP codes via email/SMS, manage backup codes, handle trusted devices, and implement 2FA sign-in flows using Better Auth's twoFactor plugin. Use when users need MFA, multi-factor authentication, authenticator setup, or login security with Better Auth.

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。

Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.

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。

Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments. Use when the user requests onboarding playbook creation or provides relevant inputs for this workflow.

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。

Content-Derived Design — reads existing HTML and writes a stronger standalone page from headings, facts, names, dates, numbers, links, emails, and colors already in that file. CLI: npx reimagine-it --auto -i page.html -o out.html; also variations, lock, and audit. Use when the user says /reimagine-it, "reimagine it", "reinvent this", "redesign this page", "make an infographic", wants a content-aware redesign or a visual leap instead of a mood board. All 17 tokens: webpage, infographic, svg, 3js, simulation, artistic, cinematic, dashboard, photography, landing, editorial, gradient, showcase, motion, glass, lookbook, particles — plus leftover words as a brief. Also /reimagine-it audit for quality checks. The agent runs the CLI; it does not hand-author the page. Installed via npx skills add Kayforkind/reimagine-it or plugin marketplace. Not /better. Not a mood board. Does not ingest PDF, PPTX, or DOCX.

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。

Emit the content signals reimagine-it reads from an HTML file — title, anchors, proper nouns, dates, numbers, emails, links, source hex colors, and the derived palette — as JSON without generating a redesign. Use when the user says /reimagine-it extract, "what does the engine see in this page", "extract the palette", "pull the facts from this page", or wants content analysis for research, migration, or design-system work. CLI: npx reimagine-it extract -i page.html -o signals.json. Part of the reimagine-it Content-Derived Design suite.

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。

Research potential leads with verified contact information, professional backgrounds, company context, and social presence. Combines LinkedIn profiling, email verification, company enrichment, and social signals for sales-ready prospect intelligence.

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。

Research industry newsletters, email publications, and WeChat articles to discover content leaders, track topics, and identify distribution opportunities. Covers newsletter discovery, content analysis, audience research, and partnership prospecting.

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。

Build targeted outreach lists with verified contact information, professional context, and conversation starters. Combines Apollo company data, LinkedIn profiling, and email verification to produce ready-to-send outreach campaigns for sales, PR, and partnership teams.

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。

Enrich any entity — companies, domains, emails, or people — with verified data from multiple sources. Combines Apollo, Strale, LinkedIn, and Akta data to fill gaps in your CRM, lead databases, or research datasets with production-quality enrichment.

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。

Complete marketing pipeline for apps, dev tools, libraries, and SaaS products in 2026. Generates positioning, listing/ASO/package-SEO assets, press kit, launch plan, social calendar, email sequences, growth/referral strategy, paid playbook, retention, and community plan. Adapts automatically to app vs dev-tool vs SaaS. Trigger on: marketing, launch plan, app launch, go-to-market, ASO, press kit, product hunt launch, hacker news launch, dev tool marketing, growth strategy, launch checklist, marketing plan, distribution plan.

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 IEEE 830 SRS from raw requirements. Use when the user says "write SRS", "generate requirements doc", "analyze requirements", "I have raw requirements from a client", or pastes a client email/chat/PRD.

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。

Use when adding, removing, or updating a local organizer on a devopsdays event team - covers the team_members entry, the photo, and the mandatory email to info@devopsdays.org that gates the merge.

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。

Add fast, local, typed decisions to any project with Laya, an open-source non-generative decision model (pip install laya). It classifies, routes, scores and answers yes/no questions about a piece of text, returning calibrated probabilities in roughly 20-35 ms on a laptop GPU, with no LLM call and no data leaving the machine. Use this skill whenever the user wants to classify or route text, triage tickets or emails, detect spam, phishing, toxicity or intent, put a guardrail in front of an agent or LLM, score something against a rubric, or replace an LLM-based classifier to cut latency or cost. Also use it when they mention Laya, Jev, a "System 1 model", "typed decisions" or a "decision model", even if they never name Laya.

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。

台灣正式文件撰寫助手 — 涵蓋政府公文、政府機關其他文件、法律文件、人民對政府文書四類中文正式文件的撰寫（不含學術論文、商業文書、私人書信等，見下方排除清單）。 根據使用者意圖自動判斷文件類別，載入對應的撰寫規範與格式指引。 觸發此 skill 的情境： - 政府公文：簽、函、書函、公告、令、呈、咨、箋函、便簽、行文、發文、簽辦、擬稿、陳核、簽稿併陳、以稿代簽、先簽後稿、上行文、下行文、平行文 - 政府機關其他文件：會議紀錄、開會通知單、新聞稿、聲明稿、施政報告、出國報告、施政計畫書、業務計畫書、裁處書、訴願決定書、聘函、獎狀、證書 - 法律文件：存證信函、律師函、合約書、備忘錄(MOU)、保密協議(NDA)、聲明書、切結書、委託書、授權書 - 人民對政府文書：陳情書、申請書、訴願書、異議書、申覆書 - 描述需要撰寫正式文件的情境（如「幫我寫一封給教育部的公文」「我要寄存證信函」「幫我寫陳情書」） - 詢問任何正式文件的格式或用語規範 - 公務員考試或受訓的公文練習題 - 公文案件後續：催辦、展期、補正、否准、陳述意見通知、陳情答復、原函更正、會辦、會勘、會議異動、公務電話紀錄 不應觸發的情境： - 商業 email、求職信、履歷 - 學術論文、研究計畫書 - 商業計畫書、簡報 - 私人書信、感謝卡 - 翻譯任務 - 純粹的文章潤飾或改寫

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。

Systematically harvest short testimonials from customers via NPS, milestones, post-purchase, and email during PRD v1.0 Market Adoption. Triggers on requests to collect testimonials, set up social proof harvest, gather customer quotes, or when user asks "how do we get testimonials?", "social proof harvest", "NPS responses", "testimonial wall", "customer quotes", "post-purchase survey", "milestone follow-up". Outputs CFD-TST-* testimonial entries and GTM-TST-* placement assets.

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。

Build Tier 1/2/3 cold outreach sequences differentiated by personalization depth and research signal strength during PRD v0.9 Go-to-Market. Triggers on requests to plan cold outreach, founder-led sales, or when user asks "cold email sequence", "outbound campaign", "founder outreach", "LinkedIn outreach", "Tier 1 personalization", "predictable revenue", "sales cadence", "BDR sequence". Outputs GTM-OUT-* sequence entries and lead-list references.

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。

UX-тексты на русском языке: кнопки, формы, ошибки, пустые состояния, онбординг, подтверждения, уведомления, пуши и микрокопия. Use this skill whenever the user asks to write, rewrite, review, choose, or improve interface copy, product messages, UI strings, transactional emails, push notifications, toasts, snackbars, forms, empty states, onboarding, errors, confirmations, labels, tooltips, or button text. Триггеры: «текст для кнопки», «сообщение об ошибке», «текст в форму», «пустое состояние», «подпись к полю», «текст тоста», «снекбар», «онбординг», «пуш-уведомление», «микрокопия», «UX-текст», «что написать на экране…», «лейбл поля», «тултип», «подтверждение удаления», «письмо-уведомление». Для статей и постов см. skills statya и redaktura; для проектного словаря — redpolitika.

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。

Редактура текстов на русском языке по методу Людмилы Сарычевой — от смысла к словам, а не наоборот. Use this skill whenever the user asks to edit, review, improve, shorten, or polish any Russian-language text — articles, posts, emails, landing copy, docs. Триггеры: «отредачь», «отредактируй», «почисти текст», «сократи», «перепиши по-человечески», «убери канцелярит», «сделай проще», «причешите текст», «дай фидбек на текст», «разбери мой текст», «слишком водянисто», «звучит как робот». Also trigger when the user pastes a Russian draft and asks what's wrong with it or how to make it better. Для написания текста с нуля см. skill statya; для текстов интерфейса — ux-copy.

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。

Checkly is a synthetic monitoring platform that runs API checks and Playwright browser checks from locations worldwide and lets you define them as code with the Checkly CLI. Use when a developer asks to set up monitoring as code, write API or browser checks, configure Slack or email alerts, run checks in CI after a deploy, or turn Playwright tests into production monitors.

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。

Clerk is a hosted authentication and user-management service with drop-in UI components, social login, email/password, organizations, RBAC and webhooks. Use when adding sign-in to Next.js, React, or Express apps, protecting routes with clerkMiddleware, setting up multi-tenant organizations and roles, or syncing Clerk users to your own database.

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。

Parse and extract data from HTML with Cheerio. Use when a user asks to scrape static web pages, parse HTML files, extract data from HTML, build a web scraper for server-rendered pages, extract text or links from HTML documents, parse RSS/XML feeds, transform HTML content, or process HTML emails. Covers jQuery-style selectors, DOM traversal, text extraction, attribute parsing, and integration with HTTP clients for web scraping pipelines.

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。

Runs background jobs in Node.js with BullMQ, a job queue library backed by Redis (or PostgreSQL since v6): delayed and prioritized jobs, retries with backoff, rate limiting, cron-style job schedulers, parent-child flows and concurrency control. Use when a user asks to add a background worker, queue emails or webhooks, schedule recurring jobs, retry failed jobs, rate limit an API client, or migrate from Bull or from BullMQ 5 repeatable jobs.

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。