5,699 件 ・ 関連度順
概要と使いどころ
Expert web researcher using advanced search techniques and synthesis. Masters search operators, result filtering, and multi-source verification. Handles competitive analysis and fact-checking. Use PROACTIVELY for deep research, information gathering, or trend analysis.
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。
Global skills manager for Google Antigravity. Explore, search, install, and manage 300+ agent skills from the rmyndharis/antigravity-skills catalog using pure stdlib CLI tools.
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 an Azure portal deep link to a specific blade/menu item for supported Microsoft.ContainerService, Microsoft.Kubernetes, and Microsoft.Compute resources using the aks-search-direct-mid semantic search API. WHEN: 'find where in the Azure portal to do something', 'search the portal for an operation', 'construct a portal link from a search query and a resource'.
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 boolean and X-ray search strings to source candidates. Use when asked to build a boolean search, source candidates on LinkedIn/Google, write an X-ray search, or find people with specific skills. Produces ready-to-paste boolean strings (with synonyms, must-haves, and exclusions), X-ray variants for LinkedIn/GitHub, and a refinement plan to widen or narrow the result set.
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。
Render a 'search-grid' (Pinterest search-moodboard) video from a config — a real-DOM page with four continuous beats (masonry search grid + typing hook with counter-drift columns → 3 cards slide in from the right and stack → the top card box-grows to fullscreen then swipe-left ×2 through captioned feature shots → end card), frame-stepped via Chromium and encoded with FFmpeg — deterministic assembly, FREE (real brand photos + logo; the optional music bed comes from create-music-elevenlabs), so type/logo/photos stay pixel-crisp. Use for the search-grid format.
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 the user provides 1-50 concrete bad-case search queries for one Viking Search app and wants local deterministic fixes. This skill only verifies request-level fine-operation interventions against a read-only baseline scene and delivers a console-ready configuration sheet, validated payloads, and a replay script. It must not mutate scenes, apps, dictionaries, datasets, recall core parameters, or online defaults.
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 read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB 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。
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, first looks, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only 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。
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only 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。
When the user wants to find information sources for content ideation, competitor monitoring, or industry tracking. Also use when the user mentions "research sources," "information sources," "content ideation," "industry monitoring," "competitor monitoring," "market intelligence," "content research," or "topic research." For keywords, use keyword-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。
Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.
UX research and design toolkit covering persona generation, journey mapping, usability testing, and research synthesis. Use for user research, persona creation, journey mapping, or design validation.
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。
SEO covering technical SEO, content optimization, link building, keyword research, and search analytics. Use when auditing technical SEO, researching keywords, optimizing on-page elements, or analyzing organic search performance.
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。
Pick the right LLM for LEGAL RESEARCH & ANALYSIS — issue-spotting, rule application, case/statute analysis, memos, and multi-step agentic research. Vendor-neutral routing grounded in mid-2026 benchmarks (Vals AI LegalBench across 124 models; Harvey Legal Agent Benchmark for agentic work). Asks up to 4 quick questions (cost, speed, accuracy/stakes, privacy/jurisdiction/language), then recommends a primary model + fallback + what to avoid + what a human must verify. Use when someone asks "which model for legal research / case analysis / a memo", "best AI for legal reasoning", "route this research task", or is starting legal analysis without a fixed model.
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。
Mandatory external verification workflow for ALL non-trivial factual claims before presenting them as true. This skill MUST be used whenever Claude is asked to research any topic, answer factual questions, provide current information, draft documents containing factual claims, give legal advice or cite legal authority, discuss current events or public figures, provide technical or scientific information, state statistics or data points, or answer ANY question where the answer could have changed over time. Also trigger when the user asks Claude to 'check', 'verify', 'confirm', 'research', 'look up', or 'find out' anything, or when the user needs information that requires freshness, precision, or source accuracy. This skill overrides any default tendency to answer from memory. If a task involves stating facts, citing sources, or providing current information — use 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。
Use when searching, installing, or improving AI skills and prompts via prompts.chat or skills.sh. Triggers on skill search, prompt lookup, install skill, improve prompt, prompts.chat.
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 open agent skills ecosystem for skills that fill a real gap and install them via the native add-skill path
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。
This skill should be used when searching for people/leads using the Prospeo Search Person API. It provides the correct API format, filter types, rate limiting patterns, and state-by-state crawling techniques to overcome the 25K result limit. Use when building lead lists, searching by job title/industry/location, or integrating with Prospeo.
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。
Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions.
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。
Research and evaluate affiliate programs to find the best ones to promote. Use this skill when the user asks anything about finding affiliate programs, comparing commission rates, evaluating affiliate opportunities, searching for products to promote, picking a niche, or mentions openaffiliate.dev. Also trigger for: "which SaaS should I promote", "best affiliate programs for X", "high commission programs", "recurring commission affiliate", "compare these affiliate programs", "is X affiliate program worth it", "find me something to promote", "what pays the most", "affiliate programs with long cookie duration".
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。
实习.skill / get-job.skill：从岗位调研、简历改写到分轮次面试准备的全流程求职 skill。适合找工作、投实习、校招、秋招、春招、暑期实习、社招、跳槽、转行、跨专业求职、留学生求职，以及产品经理、运营、市场、咨询、AI 产品、AI Coding、数据分析、技术岗等目标岗位准备。 核心能力：① WebSearch 调研公司、岗位 JD、业务线、竞品、面经、招聘流程和隐性门槛；② 按目标岗位反向定位简历，做 JD 匹配、ATS 关键词、经历筛选、STAR/CAR 改写、可迁移能力翻译、docx 简历生成；③ 按真实轮次准备面试，覆盖一面/业务面/专业面/主管面/HR 面/recruiter screen 等已确认或高置信轮次，逐条深挖简历 bullet、项目逐字稿、自我介绍、表达训练、模拟面试、反问清单、面后复盘题库。 适用于「改简历」「简历优化」「简历润色」「简历匹配 JD」「求职简历」「投递前改简历」「按岗位改简历」「准备面试」「面试准备」「面经分析」「模拟面试」「自我介绍」「项目经历怎么讲」「简历被追问怎么办」「双非拿大厂 offer」「背景不对口怎么办」「AI 产品实习」「运营实习」「产品经理校招」等场景。 质量保障：不编造经历、不改背调硬信息；所有强 claim 做证据化审计；搜索源按市场和 A/B/C/D 分级；轮次不写死；最终交付前必须跑质量闸门和覆盖矩阵，避免漏 bullet、标签泄漏和过度包装。
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。
Guides users through creating effective Agent Skills for Cursor. Use when the user wants to create, write, or author a new skill, or asks about skill structure, best practices, or SKILL.md format.
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。
Integrate Elasticsearch and implement search index Sync patterns in NestJS. Use when integrating Elasticsearch or implementing search index sync in NestJS.
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。
Programmatic Tavily search with context isolation. Use when web search or extraction will return large results that need filtering, deduplication, or multi-step triage before they enter the model context. Use tavily-search for ordinary lookups and tavily-research for end-to-end cited synthesis.
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。