「search skill」の検索結果

Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.

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。

[02] META. Create new skills when existing ones don't cover the task. Analyze unique requirements, build framework (Frame → Research → Plan → Execute), integrate risks, and declare new skill. Use when facing novel problems that existing skills can't address.

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。

[00] META. Orchestrate skills into dynamic chains for complex tasks. Analyzes the task, discovers available skills, builds an optimal chain, explains why each skill is needed, and executes step-by-step with user confirmation. Use for any complex task requiring multiple thinking/research/analysis steps. Triggers on "plan this", "how to approach", "what's the strategy", "build a plan", or any multi-step problem requiring skill orchestration.

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。

Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.

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。

上层编排 Skill，通过 **Brave Search 发现 → 智能选择浏览器截图** 完成结构化素材采集。 文章素材收集编排Skill。为MediaClaw内容生产提供结构化的多平台素材采集workflow。 强制使用OpenClaw Browser截图实际文章页面，支持GitHub/Reddit/X/Medium/知乎等。 用法: (1) content-ops-toolkit素材阶段调用 (2) daily-*-content素材采集 (3) 独立素材收集任务。 Trigger: "收集素材", "素材收集", "采集素材", "素材", "找素材", "research materials", "material collect". Author: Daniel Li version: 2.1.0 dependencies: [brave-search, web-content-capture]

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。

Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.

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。

Search the web or X/Twitter using xAI Grok server-side tools (web_search, x_search) via the xAI Responses API. Use when you need tweets/threads/users from X, want Grok as an alternative to Brave, or you need structured JSON + citations.

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。

Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.

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。

Perform web searches using DuckDuckGo. Use when web search is needed and no API key is available or Brave Search is not preferred.

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。

Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafted.com/agents/deep-research

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。

Access ATXP paid API tools for web search, AI image generation, music creation, video generation, and X/Twitter search. Use when users need real-time web search, AI-generated media (images, music, video), or X/Twitter search. Requires authentication via `npx atxp login`.

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。

Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.

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。

Advanced OpenClaw skill creation handler that executes the official 5-step research flow with comprehensive analysis and best practices. Ensures proper methodology when users request to create or modify OpenClaw/Moltbot/ClawDBot skills following official standards.

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。

Performs web searches using DuckDuckGo to retrieve real-time information from the internet. Use when the user needs to search for current events, documentation, tutorials, or any information that requires web search capabilities.

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。

Deep research on a prospect company using WebSearch for outreach personalization

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。

OpenClawの記憶や人物設定、スキル、互換性のある設定をHermesへ移すスキルです。事前確認で競合を把握し、移行できた項目と見送った項目を報告します。

• 記憶や人物設定をHermesへ移したいとき
• 既存のOpenClawスキルの取り込み
• 移行前に競合を確認したいとき

追加の学習データを用意せず、文章で指定した候補に画像を分類したり、内容に合う画像を検索したりします。画像と文章の類似度比較や、複数画像の一括処理も扱うスキルです。

• 文章のラベルで写真を分類したいとき
• 画像の内容を言葉で指定して探したいとき
• 画像と説明文の対応を比較したいとき

質問と回答を折りたたみ表示し、検索やカテゴリで絞り込めるFAQページを作成。サービスに合う質問内容から問い合わせ先への案内まで、単一のHTMLにまとめます。

• SaaSのヘルプページを作りたいとき
• 料金やアカウントの質問整理
• ネットショップのFAQ検索ページ作成

tasteskill v2, the anti-slop frontend skill. Art direction for websites, distilled from a study of 247 curated gallery sites (One Page Love, Awwwards Sites of the Day). Deals researched directions (idea, composition, type, palette, photographs, section blueprints) from a library, enforces a strict no-slop house style with a real-browser inspector, and runs a look-and-fix loop on screenshots. Use this whenever you build, design, redesign, restyle, polish or review a landing page, marketing site, portfolio, product page, one-pager, hero or any public-facing web page, in any stack (HTML/CSS, React, Next.js, Vue, Svelte, Astro, Tailwind) — also when the user says a page looks generic, templated, "AI-made", sloppy, or asks to make it look designed, premium, award-level or less like every other site. Not for dashboards or app screens.

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。

Automate Composio Search tasks via Rube MCP (Composio). Always search tools first for current schemas.

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 for any product or shopping question: find, reverse image search, shopping Instagram/Marketplace links, buy, compare, or evaluate real products with prices, images, and product page URLs, including buying or browsing Facebook Marketplace listings. Use when presenting shopping search results from any source. For shopping intent, load this skill first before any other skills.

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。

When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find leads," "lead list," "outbound list," "target account list," "ICP-fit accounts," "find local businesses," "find my first customers," "design partners," "signal-based outbound," "buying signals," "intent data," "job change alerts," "waterfall enrichment," "Clay table," "lookalike accounts," "catch-all emails," "account tiering," or "research this account before I reach out." Always verify emails before they reach a sequence, and never scrape LinkedIn. Define audiences in Sales Navigator and pull contacts from licensed data. Covers list building, signals, enrichment, verification, and account research. For the outreach itself (copy, sending setup, LinkedIn, cadences, replies), see cold-email. For researching competitors, see competitor-profiling.

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。

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'llms-full.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' 'agent-readable site,' 'agent readiness,' 'is my site agent-ready,' 'WebMCP,' 'do listicles still work for AI,' 'ChatGPT stopped citing comparison pages,' 'how do LLMs see our brand,' 'LinkedIn for AEO,' or 'AI citation format shift.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.

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。

Conducts systematic, scoping, and narrative literature reviews using PubMed, arXiv, bioRxiv, Semantic Scholar, and other appropriate sources. Use for research synthesis, reproducible literature searches, screening, citation checking, or preparing Markdown and PDF reviews. Tracks search coverage, records versus studies, and evidence limitations; supports meta-analysis planning but does not supply a meta-analysis engine.

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。