Optimize accounts payable processes. TRIGGERS - Use when user needs help with accounts-payable-optimization related 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。
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概要と使いどころ
Optimize accounts payable processes. TRIGGERS - Use when user needs help with accounts-payable-optimization related 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。
Optimize affiliate programs with commission and activation. TRIGGERS - Use when user needs help with affiliate-optimization related 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。
Optimize accounts receivable processes. TRIGGERS - Use when user needs help with accounts-receivable-optimization related 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。
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。
Extract clean markdown from any URL, including JavaScript-rendered SPAs. Use this skill whenever the user provides a URL and wants its content, says "scrape", "grab", "fetch", "pull", "get the page", "extract from this URL", or "read this webpage". Handles JS-rendered pages, multiple concurrent URLs, and returns LLM-optimized markdown. Use this instead of WebFetch for any webpage content extraction.
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。
Audits your Cowork setup across five categories, scores each one, and gives you a prioritized improvement plan. For reviewing how well you are using Cowork, when optimizing your workspace configuration, or during a quarterly productivity review. Use when the user says "health check", "am I using cowork right", "optimize my setup", "cowork audit", "what am I missing", "is my setup good", or "how do I get more out of cowork".
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。
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
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 effective reasoning processes for AI agents and optimize decision-making strategies. Use when designing agent prompts, improving decision quality, implementing specialized reasoning modes, creating reasoning traces, or debugging agent mistakes. Covers prompting, chain-of-thought, reasoning depth, and decision evaluation.
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。
North star guidance for the agent-resources project. Use this skill to understand project context, get inspiration for development decisions, and resolve uncertainty about feature priorities or design choices. Reference when asking 'why does this project exist?' or 'what should we optimize for?'
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 and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
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。
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implementation. Use this skill when creating production-ready agents for specific domains, workflows, or tasks requiring consistent high-quality performance with deeply embedded domain knowledge.
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。
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
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 this skill whenever the user asks for an HTML-first visual design deliverable or design judgment: interactive prototype, slide deck, motion demo, infographic, dashboard, landing page, whitepaper, changelog, business card, social cover, brand system, design critique, multi-variant exploration, or export to MP4, GIF, PPTX, PDF, or SVG. It is optimized to make AI agents do the routing, template selection, verification, and export prep so humans spend less time prompt-engineering. Do not use for production web apps, SEO sites, backend systems, or pure copy edits.
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。
Audit cloud costs, optimize API token usage, and evaluate pricing models.
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。
Assume the role of Galyarder CEO (Chief Executive Officer). Apex Instance of the Intelligence Layer protocol. Deconstruct intent into departmental mandates, optimize strategic direction, and audit operational bandwidth.
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。
Conversion Rate Optimization specialist. Optimizes onboarding, paywalls, and signup flows.
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。
Growth, SEO, and Copywriting specialist. Use this to optimize for Revenue (Cuan).
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, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.
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。
Optimize cloud and AI costs for modern SaaS stacks (Vercel, Supabase, Neon, Stripe, and AI APIs). Covers token efficiency, serverless database scaling, edge function optimization, and burn rate monitoring. Use when planning infrastructure, investigating high bills, or auditing API usage.
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。
You are an expert in compounding growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into Revenue (Cuan) engines.
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。
Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs for Series A+ startups scaling internationally. Use when planning marketing strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or startup marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships for hybrid PLG/Sales-Led motions in EU/US/Canada markets.
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。
Analyze and optimize individual pages for conversion performance.
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。
GPU-optimized OCR using Surya. Use when extracting text from images/screenshots, recovering image-only content in PDFs or slides, or inspecting multilingual document layouts. Preserve source locations and report recognition gaps separately from verified text.
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。
"Apply flow theory to diagnose optimal experience conditions and design environments that balance challenge and skill for sustained engagement. Use this skill when the user needs to explain why users disengage from tasks, optimize task difficulty for peak performance, design learning progressions or gamification systems, or when they ask 'why do people lose focus', 'how to design for engagement', or 'what conditions produce peak performance'.".
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。