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概要と使いどころ
Reduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, an
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Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request. Use for internal notices.
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 optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing up," "signup abandonment," "trial conversion rate," "nobody completes registration," "too many steps to sign up," or "simplify our signup." Use this whenever the user has a signup or registration flow that isn't performing. For post-signup onboarding, see onboarding. For lead capture forms (not account creation), 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。
Email marketing operations and automation for B2B SaaS. Use this skill for newsletter strategy, email automation sequences, lifecycle campaigns, nurture workflows, onboarding sequences, deliverability optimization, email copywriting, lead scoring, marketing automation platform setup, and cold-email sending infrastructure — secondary sending domains, SPF/DKIM/DMARC, and domain warmup. Also triggers on: email, newsletter, drip campaign, lifecycle, nurture, onboarding sequence, deliverability, email automation, lead scoring, marketing automation, our emails are going to spam, SPF, DKIM, DMARC, sender reputation, sending domain, cold email domains, domain warmup, mailbox setup, blacklist, bounce rate.
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。
Turn a premise, script, or beat sheet into an ordered storyboard and animate approved keyframes into a coherent video.
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 an Estuary derivation that continuously aggregates metrics (daily totals, running counts, min/max, lifetime revenue) using reduction annotations. Use for real-time dashboards, continuous materialised views, and replacing batch ETL aggregations with streaming. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this. Use when user says "aggregation derivation", "derivation to sum daily totals", "running-count derivation", "transformation for min/max per group", "derive lifetime metrics", "aggregate-by-date derivation", or "real-time-dashboard derivation".
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 the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
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。
Guide for implementing keyboard shortcuts in React using @tanstack/react-hotkeys. Use when building hotkey/shortcut features, registering keyboard shortcuts, handling key sequences, recording custom shortcuts, tracking held keys, or formatting hotkeys for display in React applications.
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。
Step-by-step onboarding guide for setting up a new AI Personal Assistant on OpenClaw. Use when: a new PA is being created, someone asks how to set up an agent, or guiding a user through the full setup process from account creation to first response.
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 a monday.com account for an OpenClaw agent and work with monday.com boards, items, and updates via the GraphQL API or MCP server. Use when: creating a monday.com workspace for a PA, connecting the PA to monday.com, querying boards and items, creating or updating items, troubleshooting monday.com API access, self-registering an agent on monday.com via HATCHA agent verification, or integrating with monday.com workflows. Covers GraphQL cookbook, column types, MCP configuration, and HATCHA self-registration. Works with any LLM model.
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。
Breadboard circuit mockups via HTML5 Canvas. Use when creating circuit layouts, visualizing 6502/retro electronics components, drawing breadboard diagrams, or designing vintage computer schematics with discrete parts.
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。
Expert en customer success (onboarding, réduction du churn, expansion revenue, NPS)
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。
Data product builder — Datasets, APIs, dashboards, reports, data marketplace listing
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。
Expert en croissance data-driven (experimentation, metrics, dashboards, correlation analysis)
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。
Expert en gouvernance d'entreprise (board management, compliance, DZ regulations, OHADA)
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。
Expert en customer success avancé (onboarding, adoption, expansion, QBRs, NPS, health scores)
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。
Data analyst v2 — SQL, BI dashboards, statistical analysis, storytelling, DZ data
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。
Data Analyst IA — Expert en analyse de données (SQL, BI dashboards, Metabase, Superset, reporting, KPIs)
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。
Data-driven growth v3 — experimentation, metrics, dashboards, correlation analysis
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。
Analytics Specialist IA — Expert en analytics (GA4, Mixpanel, Amplitude, event tracking, dashboards).
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。
Expert en audit d'accessibilité (WCAG 2.2, axe-core, Lighthouse, screen readers, keyboard navigation)
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。
Expert en monitoring d'agents IA en temps réel (dashboards, alertes, détection d'anomalies, SLA tracking)
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。
Expert en accessibilité avancée (WCAG 2.2, screen readers, keyboard nav, ARIA, testing, legal compliance)
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。
Accessibility Engineer IA — Expert en accessibilité (WCAG 2.1, screen readers, ARIA, keyboard nav). Rend les applications utilisables par tous.
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。