936 件 ・ 関連度順
概要と使いどころ
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
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。
Walk through the Designer/Developer wrap-up checklist for offboarding a client engagement — conversationally, one item at a time.
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。
Prepare customer or executive business reviews with outcome tracking, adoption health, ROI narrative, risks, commitments, and next-quarter plan using customer success and CX frameworks. Use when teams need QBRs, success plans, churn-risk conversations, or executive account reviews. Do not use for generic slide beautification or cold outreach 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。
ElevenLabs voice AI SDK patterns for TypeScript/Node.js -- text-to-speech, streaming, voice cloning, speech-to-speech, pronunciation control, and conversational AI
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 one or more standalone Meta image-ad creatives via ChatGPT Image 2 (gpt-image-2) through the Novoads API. Locks the model, auto-strips platform chrome, enforces edge-safe layouts and glyph-safety inside body text. Use when the user asks for a "gpt-image-2 ad", "ChatGPT Image ad", "Image 2 ad creative", "make a static image ad with GPT", or anchors on a need for typography-heavy / dense-text / UI-mimicry ad creatives (chat threads, comparison tables, fake search results, iOS dialogs, Slack snapshots, ChatGPT-conversation ads, Apple Notes lists). Does NOT trigger on Nano Banana cues — use nano-banana-image-ad for those.
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。
Assistant-behavior design skill for approximating a Claude-like analytical, careful, conversational style without claiming to be Claude or Anthropic. Use when the user asks to duplicate, emulate, adapt, or recreate a Claude-style "mythos" or persona for prompts, agent specs, writing style, reasoning discipline, safety posture, or UX behavior.
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。
Run a structured discovery session to build an Allium specification through conversation. Use when the user wants to create a new spec from scratch, elicit or gather requirements, capture domain behaviour, specify a feature or system, define what a system should do, or is describing functionality and needs help shaping it into a specification.
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。
Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.
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。
Sales enablement, technical presales and deal acceleration for B2B SaaS revenue teams. Use this skill when planning outbound campaigns, running discovery calls, building deal strategy, creating battle cards, writing proposals, responding to RFPs, preparing a product demo, scoping a proof of concept or pilot, answering a security questionnaire or the AI annex buyers now attach to it, executing sales sequences, coaching qualification, or deciding what the website's AI chat agent is allowed to say. Also triggers on: outbound, cold outreach, reply handling, reply classification, out-of-office replies, auto-replies counted as replies, our reply rate is inflated, prospect replied remove me, opt-out by reply, is this list ready to send, launch readiness, CRM segment outbound, we emailed a current customer, outbound hit an open opportunity, ownerless leads, prospects engaging our competitors, competitor connections, displacement list, is this personalization creepy, can we mention they visited our site, signal freshness, deal strategy, pipeline, battle card, objection handling, common objections, why do we keep hearing this objection, mine call transcripts for objections, objection register, proposal, RFP, discovery call, MEDDPICC, sales sequence, qualification, sales engineer, solutions engineer, presales, demo plan, demo script, POC, proof of concept, pilot success criteria, technical evaluation, technical win, security questionnaire, vendor security review, SOC 2 questionnaire, AI security questionnaire, AI annex, AI vendor due diligence, the buyer is asking if we train on their data, do you train on customer data, which model do you use, model provider sub-processor, AI subprocessor disclosure, where does inference run, can the customer turn the AI feature off, AI-CAIQ, CSA AI Controls Matrix, ISO 42001, ISO/IEC 42001, NIST AI RMF, EU AI Act Article 50, are we a provider or a deployer, AI feature disclosure, our model vendor changed and nobody told the buyer, technical objection, mutual action plan, MAP, close plan, mutual close plan, buyer enablement, the deal is stalled, deal stalled after the demo, how do I get this deal to close, close date keeps slipping, JOLT, buyer indecision, no-decision loss, website chatbot, chat widget, AI chat agent, AI SDR, inbound AI SDR, conversational marketing, live chat, what should our chatbot be allowed to say, our chatbot quoted the wrong price, the bot promised a discount, do we have to disclose it is AI, EU AI Act chatbot disclosure, chatbot handoff to sales, chat transcript review, prompt injection on our chatbot, Drift, Qualified, Intercom.
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 starting any conversation - establishes how arkhe skills bootstrap on Claude Code, Antigravity CLI (agy) / Gemini CLI, and Codex CLI, and maps Claude-only tools (AskUserQuestion, TaskCreate, EnterPlanMode, the Skill tool, the Agent tool) to their cross-platform equivalents
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。
Convert simplified Chinese to Traditional Chinese (zh-TW), covering characters, Taiwan vocabulary, and phrasing. Use when the user asks to convert 簡體 to 正體/繁體, localise mainland Chinese text for Taiwan, fix simplified characters left in a document or repository, check whether content is written in proper zh-TW, or normalise variant forms such as 着/裏/爲 to the Taiwan standard. Handles both files edited in place and text pasted into the conversation. Runs on Python 3 standard library alone, with no OpenCC and no installed packages.
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。
Enter talk mode — conversation and research, no repo changes. ONLY invoke when the user explicitly types `/talk` or `$talk`; never auto-select from a natural-language question or design discussion.
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 with Zhipu AI's ChatGLM models — bilingual conversational models with strong Chinese dialogue.
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。
Design chatbot user interfaces — message layouts, suggestion chips, rich cards, feedback controls, and accessibility. Use when designing the visual and interaction layer of conversational UIs.
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 conversational multi-agent systems with AutoGen — agent types, group chats, and orchestration patterns.
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 AI chatbots end to end — conversation design, persona, retrieval grounding, escalation, and deployment. Use when creating a chatbot for support, sales, or internal assistance.
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。
Work with the user's Messenger account: read call history; read and search contacts; read, search, and summarize conversations; send, react to, unsend, or edit messages; and message Marketplace listing threads.
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。
Structure and prepare for a sales discovery call. Use when the user says "prep for discovery call", "discovery call questions", "how to structure my discovery call", "first call with a prospect", "what to ask on a discovery call", "sales call prep", "plan my discovery call", "initial call framework", or wants to prepare for or debrief a first sales conversation.
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 says "run customer discovery", "help me interview customers", "write customer interview questions", "validate my assumption", "talk to users", "synthesize customer interviews", "what are my customers saying", "user research for my startup", "mom test interview", "are we solving a real problem", or wants to extract real insight from conversations with potential or existing customers.
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 says "write a cold email to investors", "investor outreach email", "how do I cold email a VC", "fundraising cold outreach", "email to angel investor", "reach out to investors", "get a meeting with investors", "intro email for fundraising", "follow up with investor", "warm intro email", or wants to draft any outbound investor communication to generate a first meeting or advance a fundraising conversation.
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。
Define the scope, success criteria, roles, and boundaries for a consulting engagement. Use when a consultant says "help me scope this engagement", "I need to define what's in and out", "the client keeps adding things", "scope is getting fuzzy", "we need a contracting conversation", "I'm not sure what we actually agreed to", "help me set boundaries with a client", or "what should be in a kickoff". Also trigger when describing an engagement that feels like it is expanding without agreement, or when starting a new client relationship and preparing the initial contract or SOW.
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。
Write a consulting engagement proposal. Use when a consultant says "write me a proposal", "draft a proposal for [your client]", "I need to send a proposal", "how do I structure a proposal", "client wants a SOW", "write a statement of work", "I need to propose a project", or "help me price and scope this engagement". Also trigger when someone describes a client conversation that ended with "send me something in writing".
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。
Draft professional emails (MoM, status updates, decisions, stakeholder communication) and save as a draft in your email provider. Use this skill after a meeting, decision, spec update, or any event that needs email communication. Trigger phrases: "send MoM email", "draft meeting minutes email", "MoM email for [meeting]", "create MoM draft", "email the meeting notes", "draft MoM", "draft email", "send update email", "draft email for [topic]". Reads context from meetings, specs, tickets, and conversation. Looks up attendee emails from a local team directory, formats as HTML email, and pushes to the email provider as a draft (never sends).
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。
Audit Reddit Ads measurement, campaign structure, community and interest targeting, creative-native fit, catalog advertising, budgets, brand safety, and reporting. Use for Reddit Ads, promoted posts, conversation ads, community targeting, Reddit Pixel, Reddit Conversions API, or Reddit dynamic product ads.
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。