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概要と使いどころ

Nuxt UI v4 component library for building Nuxt v4 applications. 125+ accessible components with Tailwind v4, Reka UI, dark mode, theming. Use for dashboards, forms, overlays, editors, page layouts, pricing pages, or encountering component, theming, or TypeScript errors.

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。

secondsky/claude-skills2292026年9月28日 更新

Implements CSRF protection using synchronizer tokens, double-submit cookies, and SameSite attributes. Use when securing web forms, protecting state-changing endpoints, or implementing defense-in-depth authentication.

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。

secondsky/claude-skills2292026年9月28日 更新

Interview employees to identify recurring daily work, office workflows, and repetitive tasks that can be automated, co-piloted, or supported by AI. Use when the user wants to find what AI can take off their plate, map available tools such as ChatGPT/OpenAI, Claude, Microsoft Copilot, Excel or PowerPoint add-ins, Google Workspace, no-code/RPA tools, coding agents, or internal automation platforms, and write tool-aware specs with fallback paths.

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。

secondsky/claude-skills2292026年9月28日 更新

Write outbound promotional copy for a product or project: launch and update posts for community platforms and social media, store page descriptions and short blurbs, landing page headlines and calls to action, press-style announcements, and the naming of a product for another language or market. Covers what may be disclosed publicly, keeping claims traceable to shipped changes, and writing a headline that carries information instead of hype. Use when drafting or revising anything aimed at people who do not use the product yet, and when deciding whether a link, key, price, or unreleased detail can appear in public 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。

scarletkc/agents2242026年9月22日 更新

Build polished, intentional UIs with concrete CSS/Tailwind values — typography, color, layout, spacing, dark mode, accessibility, animations, components. Encodes specific, opinionated rules with exact values, not vague advice. Covers buttons, cards, forms, tables, navigation, dashboards, landing pages, onboarding, and more. Triggers on "absolute ui", "design a UI", "style this component", "make this less like AI slop", "fix the spacing/typography/color", "dark mode", "design a pricing page", "make this look 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。

maddhruv/absolute2212026年7月6日 更新

tlive

無料

tlive — remote approvals (Telegram/Feishu/web), live web terminal, and session monitoring for Claude Code / Codex. Use for configuring or diagnosing tlive, connecting IM platforms, printing session links, or explaining approval behavior. Triggers "tlive", "IM bridge", "phone approvals", "remote terminal", "Telegram/Feishu notifications".

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。

y49/tlive2152026年10月14日 更新

Draft Terms of Service documents for web applications, SaaS platforms, and digital marketplaces. Use when the user requests terms of service generation 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。

seb1n/awesome-ai-agent-skills2142026年8月10日 更新

Create, adapt, and schedule social media content across platforms with platform-specific formatting, engagement hooks, and strategic posting cadence. Use when the user requests social media posting 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。

seb1n/awesome-ai-agent-skills2142026年8月10日 更新

Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity. Use when working with one or more .pdf files; converting documents to or from PDF; extracting text, tables, images, metadata, forms, or page ranges; applying true redactions or signatures; diagnosing malformed, encrypted, scanned, or inaccessible PDFs; or validating that a PDF transformation preserved the intended content and layout.

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。

seb1n/awesome-ai-agent-skills2142026年8月10日 更新

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment 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。

seb1n/awesome-ai-agent-skills2142026年8月10日 更新

Think and work like an expert Gravitational Physicist. Use when a task calls for Gravitational Physicist judgment. Reasons from calibrated strain, colored non-stationary noise PSDs, matched-filter SNR, and Bayesian posteriors through PyCBC/GstLAL/cWB searches, Bilby/LALInference PE with NRSur/SEOBNR/IMRPhenom waveforms, and FAR/p_astro significance while treating glitch contamination, waveform-approximant mismatch, mass-spin and distance-inclination degeneracies, and unmodeled selection effects as first-class failure modes.

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。

K-Dense-AI/scientific-agents2102026年10月3日 更新

geodesist

無料

Think and work like an expert Geodesist. Use when a task calls for Geodesist judgment. Reasons from coordinates as four-dimensional objects with epoch, velocity, and frame realization (ITRS vs. ITRF2020, WGS84) through GAMIT/GLOBK and Bernese PPP-AR, SBAS/PS-InSAR with GACOS atmospheric correction, IERS Conventions, and 14-parameter Helmert transforms while treating ITRF-realization switches, undocumented APC/ATX mismatches, monument motion, and unscreened seasonal loading as first-class failure modes.

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。

K-Dense-AI/scientific-agents2102026年10月3日 更新

Use MiniMax's first-party Hailuo video API safely and reproducibly across global and mainland-China platforms. Covers current text-to-video, image-to-video, first/last-frame, and subject-reference models; prompt and camera craft; region/account routing; exact cost approval; asynchronous jobs and callbacks; artifact provenance; and rights, likeness, disclosure, and data-governance review. Use when designing, implementing, debugging, or evaluating direct MiniMax/Hailuo video-generation API workflows. Do not use for the consumer Hailuo site, Video Agent templates, gateways, or unrelated MiniMax modalities.

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。

calesthio/generative-media-skills2032026年7月14日 更新

Monitor conversations about any topic, brand, or keyword across Twitter, Reddit, Threads, Weibo, and community platforms simultaneously. Aggregates volume, sentiment, key voices, and emerging narratives across the global social web.

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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Research and collect social proof — testimonials, case studies, user reviews, social mentions, and community endorsements across platforms. Useful for marketing teams building trust content, landing pages, and sales collateral from authentic customer voices.

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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Extract and analyze product reviews from e-commerce and review sites. Aggregates ratings, identifies common themes in positive and negative feedback, and surfaces actionable product insights from customer voices across platforms.

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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Research any topic across China's major social platforms — Weibo, Douyin, Xiaohongshu, Bilibili, and Zhihu — simultaneously. Aggregates discussion volume, sentiment, key opinion leaders, and platform-specific trends for comprehensive China market 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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Rapidly assess crisis situations by monitoring Twitter, Reddit, news, and Chinese social platforms simultaneously. Detects escalation velocity, identifies key narratives, tracks official responses, and measures public sentiment shifts during critical events.

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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Research online communities across Reddit, Telegram, and social platforms. Analyzes community size, engagement patterns, discussion themes, moderation culture, and member demographics for community strategy, partnership, and go-to-market planning.

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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Analyze content performance across YouTube, TikTok, Instagram, and Twitter to identify what works. Compares engagement rates, format effectiveness, posting cadence impact, and audience response patterns across platforms for content strategy optimization.

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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase. Use when asked for brand monitoring, reputation tracking, social listening, PR coverage analysis, or competitive brand 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。

sandbaseai/sandbase-skills2022026年9月26日 更新

Performs alchemical free-energy calculations including relative binding free energy (RBFE / FEP+) and absolute binding free energy (ABFE) via OpenFE, FEP+, GROMACS, AMBER pmemd, and OpenMM with explicit lambda window scheduling, soft-core potentials, REST2 enhanced sampling, MBAR/BAR analysis, and cycle closure validation. Compares ML alternatives (Boltz-2 affinity, DeepDock). Use when ranking analogs by binding affinity beyond docking accuracy, performing prospective lead optimization, or validating SAR predictions.

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。

BioTender-max/awesome-bio-agent-skills2012026年7月2日 更新

Create portable, standards-based bioinformatics pipelines with Common Workflow Language (CWL). Use when building workflows that need maximum portability across execution platforms, sharing pipelines with collaborators using different systems, or contributing to community workflow registries.

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。

BioTender-max/awesome-bio-agent-skills2012026年7月2日 更新

Project gene annotations across genomes using TOGA (Kirilenko 2023 whole-genome-alignment chain-based projection with intactness classification), CESAR 2.0 (Sharma & Hiller 2017 codon-aware exon projection), LiftOff (Shumate & Salzberg 2020 reference-based annotation transfer), Liftover (UCSC), GeMoMa (Keilwagen 2019 evidence-based projection), and Comparative Annotation Toolkit (CAT). Use when transferring annotations from a well-annotated reference to query genome(s), classifying gene-loss vs gene-intact across many genomes at scale, building Zoonomia-style comparative annotations across hundreds of mammals or birds (Kirilenko 2023), detecting pseudogenization, projecting alternative isoforms, or selecting between WGA-anchored (TOGA) vs ortholog-based (LiftOff) annotation transfer strategies.

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。

BioTender-max/awesome-bio-agent-skills2012026年7月2日 更新