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概要と使いどころ
Prepare personalized email outreach by researching prospects, verifying email addresses, building company context, and generating relevant talking points. End-to-end outreach preparation from prospect identification to send-ready 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。
Research public companies and listed securities with current market, company, ownership, and filing data through SandBase. Use for ticker analysis, price-performance comparisons, insider activity, or an evidence-backed investment research brief; do not use for trade execution or personalized financial advice.
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 create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps.' Use this for any document or asset that helps a sales team close deals. For competitor comparison pages and battle cards, use an available competitor-analysis capability. For marketing website copy, cold outreach, or offer design, use the corresponding capability when available.
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。
Detects allele-specific transcription factor or histone modification binding from heterozygous-variant ChIP-seq using WASP (reference-bias filter; mandatory upstream), RASQUAL (joint QTL + bias-corrected testing), BaalChIP (Bayesian beta-binomial with copy-number-aware overdispersion), and AlleleSeq (personalized diploid genome). Handles imprinted-locus awareness, X-inactivation artifacts, cancer copy-number imbalance, and integration with downstream caQTL / bQTL mapping. Use when identifying variants with allelic effects on TF binding, fine-mapping causal regulatory variants, validating deep-learning variant predictions, or characterizing cis-acting regulatory effects.
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 creating, reviewing, or debugging GitHub Copilot reusable prompt files and slash commands in Visual Studio Code, including .github/prompts/*.prompt.md, inputs, context links, agent selection, and tool selection. Do not use for always-on rules, multi-step Agent Skills, custom personas, or VS Code extension commands.
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。
You are an expert in designing collaborative AI agent teams with CrewAI. You think in terms of roles, responsibilities, and delegation. You design clear agent personas with specific expertise, create well-defined tasks with expected outputs, and orchestrate crews for optimal collaboration.
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。
Generates MLS-ready property listing descriptions with attention-grabbing headlines, feature highlights, neighborhood context, and SEO keywords across multiple buyer-persona styles
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。
Map user missions from trigger to value moment, organizing features into coherent paths during PRD v0.4 User Journeys. Triggers on requests to map user journeys, define user flows, describe how users accomplish goals, or when user asks "map user journeys", "define user flows", "user missions", "how do users accomplish X?", "journey mapping", "what steps do users take?", "pain to value flow". Consumes PER- (Persona Definition), FEA- (Feature Value Planning), KPI- (Outcome Definition). Outputs UJ- entries with step flows, pain points, and value moments. Feeds v0.4 Screen Flow Definition.
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 visual prototype prompts from SCR- entries for Google Stitch (or equivalent UI generation tool). Triggers on: 'make a prototype', 'visualize screens', 'generate Stitch prompt', 'I need a visual demo', 'prototype the workflow', 'show me what this looks like', 'get this to a demo', 'visual gate'. Consumes SCR- (Screen Flow Definition), PER- (Personas), UJ- (User Journeys), DES- (Design Components). Outputs Stitch prompt blocks per SCR- entry + Feedback Capture Template. No new SoT IDs created — this skill makes existing SCR- entries visual and routes feedback back to them.
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 auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.
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 this skill whenever the user wants to read, create, or edit Korean Hangul Word Processor documents (.hwp or .hwpx files). Triggers include any mention of 'hwp', 'hwpx', '한글 문서', '아래한글', '한컴오피스', or uploading/attaching .hwp/.hwpx files. Also use when extracting text from Korean reports or producing Korean-formatted official documents (공문, 보고서, 계약서, 사업계획서). Do NOT use for Word .docx files (use the docx skill instead) or general Korean text without Hangul Word Processor format. ⚠️ SECURITY: if the task fills a form with personal data (주민등록번호·계좌·연락처·주소 등), LOAD THIS SKILL FIRST — before any `ls`/`cat`/`Read`/`grep` of the working dir or home — and NEVER directly cat/Read/grep a profile or 내정보 file (e.g. ~/.claw-hwp/profile.txt), even "to check it". Its SECURE FILL flow reads values in-process only; reading them yourself leaks them into context.
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 wants WorkBuddy or another agent to remember an account's positioning, voice, boundaries, data, trust assets, personal IP story, and content rules across sessions. Trigger phrases: "账号档案", "记住我的账号", "写入记忆", "人设垂直", "信任名片", "brand profile", "account memory", "style guide". Do not use for one-off post drafting unless profile data is missing.
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 wants to start or reposition a Xiaohongshu account but is asking "what should I post" before clarifying monetization, timing, personal IP direction, or trust path. Trigger phrases: "小红书定位", "不知道做什么赛道", "怎么变现", "个人IP", "账号方向", "XHS positioning", "monetization first". Do not use for drafting a specific post; use topic or copy skills after positioning is clear.
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 has an AI-generated Xiaohongshu draft and wants it to sound more personal, concrete, platform-appropriate, and stronger in hook, retention, and interaction value. Trigger phrases: "去 AI 味", "不像我", "合规检查", "改得像真人", "开头不抓人", "没停留", "humanize draft", "platform check". Do not use for initial positioning or topic generation.
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 has an AI-generated Xiaohongshu draft and wants it to sound more personal, concrete, platform-appropriate, and stronger in hook, retention, and interaction value. Trigger phrases: "去 AI 味", "不像我", "合规检查", "改得像真人", "开头不抓人", "没停留", "humanize draft", "platform check". Do not use for initial positioning or topic generation.
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 wants to start or reposition a Xiaohongshu account but is asking "what should I post" before clarifying monetization, timing, personal IP direction, or trust path. Trigger phrases: "小红书定位", "不知道做什么赛道", "怎么变现", "个人IP", "账号方向", "XHS positioning", "monetization first". Do not use for drafting a specific post; use topic or copy skills after positioning is clear.
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 wants WorkBuddy or another agent to remember an account's positioning, voice, boundaries, data, trust assets, personal IP story, and content rules across sessions. Trigger phrases: "账号档案", "记住我的账号", "写入记忆", "人设垂直", "信任名片", "brand profile", "account memory", "style guide". Do not use for one-off post drafting unless profile data is missing.
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。
You are an expert in Clay, the data enrichment and outbound sales platform that pulls from 75+ data providers to build rich prospect profiles. You help teams automate lead discovery, enrich contacts with firmographic and technographic data, score leads against ICP criteria, and trigger personalized outreach sequences — replacing manual research with automated, data-driven prospecting.
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。
AssemblyAI is a hosted speech-to-text API that transcribes audio and video files or live streams and adds speaker labels, sentiment, entity detection, PII redaction and LLM analysis of the transcript. Use when a user asks to transcribe a recording, label who said what, analyze call sentiment, redact personal data, stream live transcription, or summarize and question a transcript with LLM Gateway (the replacement for LeMUR).
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。
Expert in building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into opportunities. Use when "portfolio, personal website, showcase work, developer portfolio, designer portfolio, creative portfolio, " 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。
Email has the highest ROI of any marketing channel. $36 for every $1 spent. Yet most startups treat it as an afterthought - bulk blasts, no personalization, landing in spam folders. This skill covers transactional email that works, marketing automation that converts, deliverability that reaches inboxes, and the infrastructure decisions that scale. Use when "keywords, file_patterns, code_patterns, " 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。
Designing anatomically plausible, visually distinctive creatures that communicate threat, personality, and role through form - from terrifying bosses to collectible companionsUse when "creature design, design a creature, design a monster, monster design, boss design, enemy creature, companion creature, pet design, wildlife design, alien creature, fantasy creature, horror monster, cute creature, pokemon style, creature anatomy, creature silhouette, creature movement, hybrid animal, ecosystem creatures, creature family, mount design, dragon design, beast design, creature, monster, boss, enemy, companion, wildlife, horror, cute, pokemon, anatomy, silhouette, locomotion, ecosystem, hybrid, fantasy, sci-fi, kaiju, cryptid" 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。
World-class brand positioning expertise combining David Ogilvy's direct response wisdom, Emily Heyward's obsessive brand strategy (Red Antler), and Al Ries/Jack Trout's positioning classics. This skill answers: "What space do we own in the customer's mind, and why does it matter?" Brand isn't what you say about yourself - it's what others say when you're not in the room. Positioning isn't about creativity - it's about claiming territory in an overcrowded mind. Use when "brand positioning, positioning statement, brand strategy, category design, competitive positioning, how should we position, brand differentiation, value proposition, what makes us different, brand platform, brand values, brand personality, brand promise, brand manifesto, tagline, unique selling proposition, usp, category creation, own a word, mind share, brand, positioning, strategy, differentiation, category, competitive, values, identity" 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。
The ultimate brand asset: a consistent, explorable universe generated by AI. This skill covers creating coherent brand worlds, consistent characters, architectural spaces, and visual universes that serve as the foundation for all marketing content. Traditional brand building creates guidelines. AI world building creates explorable realities. Characters with consistent personalities across thousands of images. Environments that feel like real places. Visual languages so coherent that any new asset feels like it belongs. This is where AI generation meets universe design. The practitioners of this skill don't just create images—they create the DNA that generates infinite consistent images. They build the source code for visual worlds. Use when "world building, brand world, universe, consistent character, character design, visual language, brand universe, style bible, world bible, coherent assets, character sheet, environment design, world-building, universe, character-design, consistency, visual-language, brand-world, style-guide" 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。