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概要と使いどころ

Draws original hand-written SVG spot scenes in the Line interior style, wide airy rooms or terraces where slim, realistic people do design and coding work. A thin uniform indigo outline (1.4 px at 480 wide) runs around mostly white fills. Sparse flat accents (teal, sage, coral, mustard, lavender, peach wood) cover under 7% of the card. Pale lavender 1 px background decor (brick clusters, pendant lamps, framed posters) sits behind, and a long floor line with end dashes runs under it all. Covers the palette, line weights, heads and hands from a parts toolkit, composition and a render-critique loop. Use when asked for line-art, thin-line or outline illustrations, indigo line art, office, desk, home-workspace, remote-work or team scenes, or interior spot illustrations for empty states, onboarding screens, 404 pages, blog headers, feature spots, landing sections or marketing cards.

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。

MengTo/Skills6,8242026年10月6日 更新

Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs.

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。

MengTo/Skills6,8242026年10月6日 更新

Render a 3D canvas sharply on Retina and HiDPI displays, including explicit 200 percent resolution, synchronized renderer and post-processing sizes, correct pointer coordinates, and measured quality fallbacks. Use for blurry WebGL output, 2x rendering, high-resolution previews, and display-density changes.

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。

MengTo/Skills6,8242026年10月6日 更新

Guide performance profiling for Apple platform apps with Instruments, Xcode diagnostics, and MetricKit. Use when investigating app hangs, stutters, high CPU, memory leaks, memory growth, OOM crashes, slow launch, battery drain, thermal issues, App Store performance readiness, or when adding os_signpost and measurement hooks.

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。

MengTo/Skills6,8242026年10月6日 更新

Add sun shafts and crepuscular rays to a Three.js or equivalent 3D scene, using scene occlusion, a projected sun position, controlled foreground spill, and scalable post-processing. Use for rays of light from the sky, sunlight through trees or roofs, and golden-hour architectural scenes.

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。

MengTo/Skills6,8242026年10月6日 更新

web3-data

無料

Two services in one skill: (1) Web3 on-chain data via Chainbase CLI — use when the user asks about blockchain data, token holders, wallet addresses, token prices, ENS domains, transactions, DeFi portfolios, or any on-chain analytics. Triggers: "top holders of", "who holds", "wallet address", "token price", "token transfers", "ENS domain", "on-chain data", "blockchain query", "SQL query on-chain", across Ethereum, BSC, Polygon, Arbitrum, Optimism, Base, Avalanche, zkSync, and other EVM chains. (2) Crypto social intelligence via Tops (chainbase tops) — use when the user asks about trending crypto narratives, social mentions, Twitter/X crypto discussions, narrative discovery, topic heat, or KOL/community signals. Triggers: "trending topics", "crypto narrative", "what's trending in crypto", "social mentions", "who is talking about", "crypto twitter", "KOL signals", "narrative search", "topic posts".

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。

internet-court/internet-court-skill6,7692026年8月20日 更新

Use this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.

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。

internet-court/internet-court-skill6,7692026年8月20日 更新

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

ThinkInAIXYZ/deepchat6,3692026年10月13日 更新

Comprehensive security audit with scored posture assessment

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。

FlorianBruniaux/claude-code-ultimate-guide6,1962026年10月18日 更新

Transform CHANGELOG entries into social content (LinkedIn, Twitter/X, Newsletter, Slack) in FR + EN. Use after releases or weekly to generate ready-to-post content from guide updates.

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。

FlorianBruniaux/claude-code-ultimate-guide6,1962026年10月18日 更新

canary

無料

Post-deploy monitoring: watch production after a deploy and alert on regressions

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。

FlorianBruniaux/claude-code-ultimate-guide6,1962026年10月18日 更新

Transform CHANGELOG entries into social content (LinkedIn, Twitter/X, Newsletter, Slack) in FR + EN. Use after releases or weekly to generate release notes, announcements, social media posts, or recap summaries from guide updates.

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。

FlorianBruniaux/claude-code-ultimate-guide6,1962026年10月18日 更新

This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement signals across a full channel, and downloading structured YouTube video details without manual scraping.

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。

browser-act/skills6,1602026年8月24日 更新

This skill helps users automatically extract complete Markdown content from any website via the BrowserAct Web Search Scraper API. The Agent should proactively apply this skill when users express needs like extract complete markdown from a specific website, scrape the content of an article link, get the text from a target url, convert a webpage to markdown format, fetch the main content of a blog post, extract data from a given web page, parse the html of a website into markdown, download the readable text from a news article, obtain the content of a tutorial page, extract all the markdown text from any http or https url, scrape documentation from a web link, or grab the text of a single webpage.

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。

browser-act/skills6,1602026年8月24日 更新

Fetches Instagram user profile metadata including bio, follower count, following count, post count, verification status and other profile details. Use when user mentions Instagram profile info, user stats, account details, follower count, bio scraping, Instagram user data, IG profile, check Instagram account, Instagram user info, how many followers does someone have on Instagram, get Instagram profile, Instagram account metadata.

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。

browser-act/skills6,1602026年8月24日 更新

TikTok single video detail scraper: input a TikTok video URL → output full video metadata (author profile, engagement stats, music, video meta, hashtags, mentions, slideshow images). Use when user mentions TikTok video detail, get TikTok video data, extract TikTok video metadata, scrape single TikTok video, TikTok video info, extract single TikTok video info, TikTok single video collection, tiktok video scraper, tiktok video url scraper. Also applies to batch URL processing (given a list of TikTok video URLs, extract metadata for each), verifying specific video stats, or archiving individual TikTok posts with full metadata.

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。

browser-act/skills6,1602026年8月24日 更新

Scrapes tweets from any X (Twitter) URL — search results, user profile, single tweet detail, or list timeline — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, and cursor for pagination. Use when user mentions X URL scraper, Twitter URL scraper, scrape from URL, given an X link, given a Twitter link, accept mixed X URLs, accept mixed Twitter URLs, search URL, profile URL, list URL, status URL, tweet detail URL, scrape startUrls Twitter, X startUrls, mixed batch of Twitter links, paste links and scrape, mass URL extraction X, mass URL extraction Twitter, scrape from a list of links, x.com URLs, twitter.com URLs, classify Twitter URLs, auto-detect Twitter URL type, scrape lists on X, scrape Twitter lists, list timeline scraper, list tweet scraper, scrape conversation by URL. Also applies to processing seed URL files, dispatching mixed X URLs through a single workflow, list-based KOL monitoring, batch-collecting tweets from a curated list of profiles, lists, and individual posts.

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。

browser-act/skills6,1602026年8月24日 更新

Scrapes tweets from X (Twitter) by search query, user handle, or direct URL — returns full tweet data including text, author info, engagement metrics, media, and hashtags. Use when user mentions X, Twitter, tweet scraping, scrape tweets, get tweets, fetch tweets, twitter data, x.com data, tweet collector, tweet search, twitter search, social media scraping, twitter handle scraping, scrape user tweets, from:username, twitter keyword search, hashtag search, twitter timeline, twitter list scraping, collect twitter posts, export tweets, tweet analysis, twitter monitoring, search twitter, get twitter data, twitter api alternative, tweet dump.

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。

browser-act/skills6,1602026年8月24日 更新

TikTok hashtag video scraper: input a hashtag name → output paginated video list with full metadata (author profile, engagement stats, music, video meta, hashtag list). Use when user mentions TikTok hashtag scraping, TikTok tag videos, scrape TikTok by hashtag, extract TikTok hashtag data, TikTok challenge videos, get videos from a TikTok tag, bulk collect TikTok hashtag posts, TikTok video collection by tag, TikTok topic videos, collect TikTok tag data, batch fetch TikTok videos by hashtag, tiktok tag scraper, tiktok challenge scraper. Also applies to competitive research on TikTok trending topics, influencer discovery by hashtag, content monitoring for specific TikTok tags, or any task requiring video lists from a specific TikTok hashtag or challenge.

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。

browser-act/skills6,1602026年8月24日 更新

Scrape job listings from Indeed.com by keyword, location, and country. Returns job title, company, salary, rating, description, benefits, and apply links. Use when user mentions Indeed, Indeed scraper, Indeed jobs, scrape Indeed, job search Indeed, Indeed job listings, extract Indeed data, Indeed job data, get jobs from Indeed, Indeed employment data, job market research Indeed, Indeed salary data, bulk job extraction Indeed, Indeed job scraper, monitor Indeed listings, Indeed hiring data, job postings Indeed, Indeed career search. Also applies to: job market analysis, salary benchmarking from Indeed, competitor hiring monitoring, recruitment data collection, building job databases from Indeed search results.

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。

browser-act/skills6,1602026年8月24日 更新

Run Nexent requirements and bugfixes through SPEC acceptance, traditional UT and applicable D1-D5 test design, product/test implementation, local verification, and delivery evidence. Use for features, fixes, refactors and post-development test backfill across APIs, UI, model and Agent behavior.

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。

ModelEngine-Group/nexent5,9762026年10月17日 更新

Create and maintain Nexent's repository-owned feature catalog, D1-D5 case-local contracts and fixed scripts, change records, generated execution registry and Excel view. Use for requirements, bug regressions, post-development test backfill, test implementation, and formal asset migration. Traditional UT uses nexent-python-tests.

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。

ModelEngine-Group/nexent5,9762026年10月17日 更新

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

vercel-labs/open-agents5,8502026年8月29日 更新

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

Galaxy-Dawn/claude-scholar5,8282026年9月23日 更新