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概要と使いどころ

Build evidence-backed SEO keyword insights and strategy using SandBase-managed search, keyword, site-analysis, and SERP capabilities. Use when asked to discover or prioritize keywords, assess search demand or ranking feasibility, map intent and topics, find competitor gaps, plan organic-search landing pages or content, or analyze a website's SEO opportunities.

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-skills2042026年9月26日 更新

Use this skill when an agent needs AssemblyAI for speech-to-text or speech-understanding work in media production, including pre-recorded, synchronous short-file, and real-time streaming transcription; speaker diarization or speaker identification; captions and subtitles; timestamps; language detection, code-switching, or transcript translation; audio intelligence such as summaries, chapters, topics, entities, key phrases, sentiment, content moderation, profanity filtering, and PII redaction; webhooks, scaling, rate limits, retention, security, consent, and QA for podcasts, interviews, captions, call recordings, and edit workflows.

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-skills2022026年7月14日 更新

Streams change data capture from PostgreSQL into Redpanda or Kafka using Redpanda Connect's postgres_cdc input, which reads the WAL through logical replication (pgoutput). Use when configuring postgres_cdc (formerly pg_stream), setting up wal_level=logical, replication slots, and publications, enabling an initial snapshot before streaming, or troubleshooting slot growth and WAL accumulation. Also covers Redpanda Enterprise destination features such as Iceberg Topics, Tiered Storage, and server-side Schema ID Validation, since postgres_cdc itself requires a Redpanda Enterprise license.

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。

skillmds/skillmd1982026年10月9日 更新

HTML Docs

無料

Turns folders, codebases, websites, PDFs, documents, and research topics into source-grounded HTML documents, deterministic narrated videos, or complete learning courses; also publishes and revises collaborative HTML pages through the HTML Docs CLI, REST API, and MCP server.

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。

skillmds/skillmd1982026年10月9日 更新

Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.

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。

skillmds/skillmd1982026年10月9日 更新

Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification over Firecrawl's paper index — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math. Use when the user wants a literature review, systematic review, survey of studies, paper summary, research landscape, or sourced synthesis from scholarly and industry publications, including clinical, drug, gene, disease, epidemiology, and public-health topics. Prefer this over a general web-research workflow whenever the evidence base is published papers rather than web pages.

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。

firecrawl/firecrawl-workflows1922026年8月21日 更新

Hoyeon developer community scan workflow for Codex. Use when the user invokes "$hoyeon-dev-scan" or asks for developer reactions, community opinions, or cross-community sentiment on technical topics. This adapter loads the canonical dev-scan skill and follows its Codex runtime surface.

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。

team-attention/hoyeon1732026年5月21日 更新

dev-scan

無料

Collect diverse opinions on technical topics from developer communities. Use for "developer reactions", "community opinions" requests. Aggregates Reddit, HN, Dev.to, Lobsters, ProductHunt, etc.

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。

team-attention/hoyeon1732026年5月21日 更新

Use when the user has positioning and wants a reusable Xiaohongshu topic/title bank instead of asking AI to freely brainstorm, especially to map topics to user needs such as emotional resonance, growth proof, new insight, learning value, or identity expression. Trigger phrases: "选题库", "标题公式", "每天发什么", "批量选题", "爆款需求", "XHS topic bank", "title formulas". Do not use before account positioning and target audience are known.

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。

wenziai/wenzi-xiaohongshu-workflow1712026年10月12日 更新

Use when the user has positioning and wants a reusable Xiaohongshu topic/title bank instead of asking AI to freely brainstorm, especially to map topics to user needs such as emotional resonance, growth proof, new insight, learning value, or identity expression. Trigger phrases: "选题库", "标题公式", "每天发什么", "批量选题", "爆款需求", "XHS topic bank", "title formulas". Do not use before account positioning and target audience are known.

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。

wenziai/wenzi-xhs-agent-skills1692026年9月30日 更新

Research topics and write content like blog posts, articles, and marketing copy. Use when a user asks to write a blog post, create an article, draft marketing copy, write website content, create a newsletter, produce thought leadership content, or write any long-form or short-form 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。

TerminalSkills/skills1662026年10月14日 更新

aws-sns

無料

Use Amazon SNS for pub/sub messaging and notifications. Create topics and manage subscriptions across protocols (SQS, Lambda, HTTP, email, SMS). Configure message filtering, mobile push notifications, and fan-out architectures.

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。

TerminalSkills/skills1662026年10月14日 更新

World-class content strategy expertise combining the frameworks of Andy Crestodina's data-driven approach, Ann Handley's "everybody writes" philosophy, and the content engines that power companies like HubSpot, Ahrefs, and Intercom. Content strategy isn't about creating content - it's about creating the right content for the right audience at the right time in the right format. The best content strategists think in systems, not pieces. They build content engines that compound over time and turn strangers into customers and customers into advocates. Use when "content strategy, content plan, editorial calendar, blog strategy, content marketing, topic clusters, pillar content, content audit, content calendar, SEO content, content distribution, content funnel, thought leadership, content engine, content topics, what to write, content, strategy, editorial, SEO, blog, planning, distribution, measurement" mentioned.

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。

omer-metin/skills-for-antigravity1652026年1月22日 更新

Content topical authority and gap analysis powered by the DataForSEO Labs API. Clusters a domain's ranked keywords into topics, identifies strong vs weak vs missing topic clusters versus competitors, and returns a Content Score (0-100) plus the highest-leverage content opportunities to write next.

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。

zubair-trabzada/dataforseo-claude1652026年5月21日 更新

DEPRECATED - Use browsing-bluesky skill instead. Sample and analyze Bluesky firehose to identify trending topics and content clusters. Use when user asks about "what's happening on Bluesky", "Bluesky trends", "zeitgeist", "firehose analysis", or wants to see real-time topic clusters from the network.

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。

oaustegard/claude-skills1512026年10月13日 更新

Systematic research methodology for building comprehensive, current knowledge on any topic. Requires web_search tool. Use when questions require thorough investigation, recent developments post-cutoff, synthesis across multiple sources, or when Claude's knowledge may be outdated or incomplete. Triggered by "Research", "Investigate", "What's current on", "Latest info on", complex queries needing validation, or technical topics with recent 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。

oaustegard/claude-skills1512026年10月13日 更新

Browse Bluesky content via API and firehose - search posts, fetch user activity, sample trending topics, read feeds and lists, analyze and categorize accounts. Supports authenticated access for personalized feeds. Use for Bluesky research, user monitoring, trend analysis, feed reading, firehose sampling, account categorization.

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。

oaustegard/claude-skills1512026年10月13日 更新

UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.

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。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".

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。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points, reducing blind searching. Intended for the built-in QA Agent to quickly identify which files to read when answering questions about installation, configuration, skills, MCP, multi-agent, memory, CLI, etc.

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。

agentscope-ai/skills1302026年9月10日 更新

This skill channels the reasoning of Walter C. Willett, nutrition epidemiologist at Harvard University. Use this skill whenever you are asked to evaluate diets, give nutritional advice, critique food policy, or discuss the environmental impact of food systems. Trigger this skill for topics like macronutrient quality (fats vs. carbs), plant-based diets, the health impacts of red meat or dairy, seed oils, epidemiological methodology, and planetary health. Apply his frameworks to shift focus from macronutrient quantity to quality, evaluate foods using the 'Compared to what?' rule, and prioritize public health over personalized nutrition fads.

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/mimeographs1302026年8月19日 更新

thai-lee

無料

Apply the strategic thinking of Thai Lee, CEO of SHI International. Use this skill when the user is navigating bootstrapping vs. venture capital, long-term career sequencing, building an egalitarian corporate culture, or scaling a customer-centric B2B sales organization. Trigger this skill for topics involving decade-by-decade life planning, empowering employees with extreme ownership, or turning personal disadvantages into fuel for preparation. Apply her frameworks whenever these themes arise, even if the user doesn't explicitly name her.

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/mimeographs1302026年8月19日 更新

Applies the reasoning, mental models, and capital allocation frameworks of Warren Buffett, CEO of Berkshire Hathaway and value investor. Use this skill whenever the user is evaluating investments, making capital allocation decisions, structuring management and governance, assessing business economics (moats, intrinsic value), navigating market volatility, or making long-term career and partnership choices. Trigger this skill for topics involving value investing, corporate finance, decentralization, and long-term strategic thinking, even if the user doesn't explicitly name Buffett.

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/mimeographs1302026年8月19日 更新

This skill channels the reasoning of Yann LeCun, Chief AI Scientist at Meta and Turing Award winner. Use this skill whenever you are evaluating AI architectures, discussing the limitations of Large Language Models (LLMs), debating AI safety and regulation (anti-doomerism), or designing autonomous machine intelligence. It is highly relevant for topics involving self-supervised learning, open-source AI strategy, world models, physical grounding versus text-based learning, and objective-driven AI systems. Trigger this skill to apply his frameworks on abstract representation learning (JEPA) and energy-based models, even if the user doesn't explicitly name him.

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/mimeographs1302026年8月19日 更新