「market」の検索結果

Read tweets, threads, bookmarks, articles, and user timelines on X (formerly Twitter) using an authenticated GraphQL flow. Use this skill whenever the user mentions a tweet URL, a Twitter thread, an X bookmark, a Twitter article, reading their X bookmarks, pulling a thread, or grabbing X content — even if they don't explicitly say 'use mktg-x'. Requires MKTG_X_AUTH_TOKEN and MKTG_X_CT0 env vars. Do NOT firecrawl x.com URLs — Twitter serves a degraded logged-out page and firecrawl will return the login wall. mktg-x is the only path for auth-walled X content.

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 stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Zero dependencies — single HTML files with inline CSS/JS. Use when the user wants a presentation, pitch deck, conference talk slides, HTML slideshow, slide deck, investor deck, demo day slides, keynote-style presentation, or says 'make slides', 'presentation', 'pitch deck', 'conference talk', 'convert my PPT', 'HTML slides', 'talk slides', or wants beautiful animated slides without PowerPoint. Also use when someone needs to present something and doesn't have a tool — this replaces Keynote, Google Slides, and PowerPoint with a single HTML file. Includes 12 curated style presets and PPT-to-HTML conversion.

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 setting up a secure email inbox for any AI agent — configuring inbound email via Resend, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks. Also use when someone mentions 'agent email', 'bot inbox', 'receive emails for agent', 'agent webhook', 'email security for AI', 'prompt injection via email', 'inbound email for bot', or wants their AI agent to receive and respond to emails securely.

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。

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

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。

Cluster keywords by search intent and map each cluster to an existing or proposed page, with cannibalization detection from Search Console. Use this skill when the user has a keyword list (saved set, brand/keyword-plan.md, GSC export, or seed topic) and needs page targets, content briefs, or a site map for SEO pages — especially before seo-content or seo-machine page generation. Triggers: "cluster keywords", "keyword mapping", "map keywords to pages", "keyword cannibalization", "which page should target".

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。

Optimizes multi-step conversion flows including signup, onboarding, upgrade, and checkout. Maps each step, identifies friction and drop-off risks, then recommends specific copy/UX changes with A/B test plans. Use when someone says 'signup flow', 'onboarding optimization', 'checkout conversion', 'paywall optimization', 'activation rate', 'funnel analysis', 'why are users dropping off', 'registration flow', 'trial conversion', 'free to paid', 'upgrade flow', 'user journey', or wants to improve any multi-step user journey. If they mention steps, screens, or a sequence that leads to signup, payment, or activation, this is the skill. Even casual mentions like 'users aren't finishing signup' or 'our onboarding sucks' should trigger this. Use this instead of page-cro when the problem spans multiple screens rather than a single page.

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。

Write copy that converts. Use when writing landing pages, emails, sales copy, headlines, CTAs, social posts, cold emails, or any persuasive text. Triggers on 'copy', 'copywriting', 'sales copy', 'landing page copy', 'cold email', 'headlines', 'write me a page', 'make this convert', 'rewrite this copy', or any request involving persuasive writing. Three modes: Generate (write from scratch), Edit (improve existing copy with Seven Sweeps), Cold Email (outbound sequences). If someone has text that needs to sell harder, this is the skill.

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。

Agent eXperience Interface (AXI) router — the main entry point for agent-ergonomic CLIs. Use whenever the agent needs GitHub, browser automation, human review, quota routing, Slack, Notion, AWS/Docker/K8s, databases, GitLab (glab-axi), Oracle DB (oracle-axi), tmux/herdr/WezTerm sessions (cyber-mux), or any AXI-catalog tool; when choosing AXI vs MCP vs raw CLI; when building or reviewing an agent-facing CLI; or when the user says axi, gh-axi, chrome-devtools-axi, TOON output, agent ergonomics, or "prefer AXI". When in doubt about which external tool interface to use, start here.

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。

Call Exa Contents (POST /contents) for LLM-ready extraction from known URLs: text, highlights, summaries, links, image links, subpages, freshness-controlled crawl. Use when the agent already has URLs. Prefer Exa MCP web_fetch_exa when available; otherwise raw HTTP with EXA_API_KEY. NOT for open-ended discovery (use exa-search) or auth-walled X/Twitter (use mktg-x). For full-site crawl of a known domain, firecrawl may be better.

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 applications and agents with Exa's API Platform: search, contents, answer, context, Agent API, monitors, websets, OpenAI-compatible endpoints, and exa-py / exa-js. Use when choosing Exa endpoints, writing Exa API calls, integrating semantic web search or research into products, or debugging Exa request shapes. Load references/ on demand for endpoint details.

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。

Trigger when: (1) User mentions "manim" or "Manim Community" or "ManimCE", (2) Code contains `from manim import *`, (3) User runs `manim` CLI commands, (4) Working with Scene, MathTex, Create(), or ManimCE-specific classes. Best practices for Manim Community Edition - the community-maintained Python animation engine. Covers Scene structure, animations, LaTeX/MathTex, 3D with ThreeDScene, camera control, styling, and CLI usage. NOT for ManimGL/3b1b version (which uses `manimlib` imports and `manimgl` CLI).

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 an interactive HTML brand playground that shows your brand rendered live — palette, typography, logo, voice — with a social card and OG image preview that updates as you tweak tokens. Opens in browser. The visual approval step for the /cmo flow: /visual-style writes the brand, this skill shows it. Use when the user says "show me my brand", "brand playground", "preview my brand", "what does our brand look like", "visual preview", "brand kit", "see my colors", "how does my brand look", or after /visual-style completes and the user needs to approve the visual identity before moving to content generation. Also use when someone says "I want to see it" during any brand-building conversation.

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。

Builds, measures, and improves an Answer Engine Optimization program across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Copilot. Use for AEO, GEO, LLMO, AI search visibility, AI citations, brand mentions, answer-engine monitoring, llms.txt, AI crawler audits, or questions like 'what does AI say about us?' and 'why are competitors cited instead of us?'. Produces a durable evidence report and prioritized gameplan, not a one-shot content checklist.

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。

Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` CLI).

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 keyword research powered by web search and brand context. Use this skill whenever the user mentions keywords, keyword research, SEO topics, content topics, 'what should I write about', content strategy, blog ideas, search traffic, or content planning. Also trigger when the user wants to plan what content to create, when existing content isn't attracting search traffic, when any skill needs keyword-plan.md but it doesn't exist, or when the user asks about SEO in the context of content creation. Even casual mentions like 'I need blog post ideas' or 'what topics should I cover' warrant this skill. 8-phase process from seed to content brief.

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。

Salary Benchmarking — market range by role/location/experience, total comp breakdown (base, bonus, equity, benefits), recruiter negotiation talking points

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 HTML slide presentations (1 slide = 1 HTML file, 1280x720px) using Tailwind CSS, Font Awesome, and Google Fonts. Use when the user asks to create a new presentation deck or slide HTML files. Covers design guidelines, 43 layout patterns, component library, and PPTX conversion compatibility rules. Supports style selection (creative, elegant, modern, professional, minimalist) and theme selection (marketing, portfolio, business, technology, education).

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。

Plan agritourism activities and marketing. TRIGGERS - Use when user needs help with agritourism-plan 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。

Build AI marketing attribution systems. TRIGGERS - Use when user needs help with ai-attribution-analyzer 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。

Design account-based marketing strategies with targeting. TRIGGERS - Use when user needs help with abm-strategy 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。

Build Solana trading and intelligence applications combining OKX DEX aggregation with Helius infrastructure. Integration-only layer — describes when and how to compose OKX tools with Helius tools for swaps, token discovery, smart money signals, meme token analysis, and portfolio 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。

行业调研——researcher CLI + 多 Agent 对抗式研究引擎。输入一个行业/赛道/商业机会的模糊需求， 输出一份有据可依、经过证据校验和红蓝对抗检验的战略调研报告。内置国民经济行业分类映射、 MECE/PESTLE/波特五力等咨询框架、事前验尸法和黑格尔辩证法合题引擎。 支持精简/标准/深度三种报告深度。 触发方式：/industry-research、「行业调研」、「行业分析」、「赛道研究」、「市场调研」 Use when the user asks for industry research, sector analysis, market study, competitive landscape analysis, investment thesis research, or any request involving structured industry investigation. Also trigger when user mentions 调研报告, 行业研究, 赛道分析, 商业机会分析, 投资逻辑梳理, or similar phrases. Even casual requests like "帮我看看 XX行业怎么样" or "XX赛道值不值得做" should trigger this skill.

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。

Drive the terum-skills CLI from a Claude Code or Codex session: run any verb with --format md and show its board — inspect the Library or the team Marketplace, search, fetch with sync, validate or fix a local skill, install the latest version into Global or an added project, publish a local skill as an immutable version, manage the eval queue — and prepare the verbs that belong in a terminal (project setup, skill move/copy/rename/delete, prune, reconcile, machine uninstall, team administration). Use when the user wants to manage, evaluate, publish or install skills and no narrower terum-skills skill fits.

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。

List the skills on this machine (your Library) and the skills your team shares (the Marketplace) as Markdown boards from the terum-skills CLI. Use when the user asks what skills they have, what the team shares, what is installed, edited, untracked or missing an eval, or wants an overview of their terum-skills state.

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。