Communication Claude Skills
1 311 communication skills from 262 authors. They handle mail, chats, messengers and meetings. Half of them fit into 1 949 tokens or less — that is what one costs your context window when the agent loads it. 168 ship runnable scripts rather than instructions alone. 37 of them cannot work without an MCP server, most often rube. We also found 166 copies of these same skills sitting in other people's repositories — counted once here, not 166 times.
1 311 unique 262 authors 2 updated this month 178 from vendors
| Finds qualified candidates for a role by searching LinkedIn, Indeed, GitHub, and other professional platforms using Nimble Web Search Agents. Accepts a job description, role title, or freeform request and returns a ranked candidate list with profiles, skills, and contact signals. Use this skill when the user wants to find, source, or recruit candidates for "who can I hire for", "find me a [role]", "recruiting for", "talent search", "find a [role] in [city]", "build a candidate list", "sourcing for [role]", "who's available for", "find potential hires". Also triggers on a pasted job description followed by a sourcing request. Do NOT use for job market research or salary benchmarking — use market-finder instead. Do NOT use for researching a single known person — use company-deep-dive or meeting-prep instead.
| Researches meeting attendees and their companies before any meeting using real-time web data. Surfaces roles, recent activity, company context, and talking points — then maps cross-attendee relationships. Use this skill when the user asks to prepare for a meeting, research someone for my meeting", "who am I meeting with", "research this person", "meeting prep", "brief me on [person]", "I have a meeting with [person/company]", "get me ready for my call", "what should I know about [person]", "background on [person] before our meeting", "attendee research". Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for multi-company competitor monitoring (use competitor-intel) or single-company deep dives without attendees (use company-deep-dive).
Record and live-transcribe a meeting or live conversation from a Codex thread on macOS, saving streaming transcript text to the workspace with OpenAI Realtime transcription, then summarize notes in-thread. Use when the user asks to start, stop, capture, transcribe, ask questions about, or summarize a meeting recording from the current thread.
Use this agent when you receive a bug report or issue description and need to verify whether the reported behavior is actually a bug. This agent will attempt to reproduce the issue systematically, validate the steps to reproduce, and confirm whether the behavior deviates from expected functionality. <example>\\nContext: The user has reported a potential bug in the application.\\nuser: \"Users are reporting that the email processing fails when there are special characters in the subject line\"\\nassistant: \"I'll use the bug-reproduction-validator agent to verify if this is an actual bug by attempting to reproduce it\"\\n<commentary>\\nSince there's a bug report about email processing with special characters, use the bug-reproduction-validator agent to systematically reproduce and validate the issue.\\n</commentary>\\n</example>\\n<example>\\nContext: An issue has been raised about unexpected behavior.\\nuser: \"There's a report that the brief summary isn't including all emails from today\"\\nassistant: \"Let me launch the b...
ACCESS-GATED beta. Deepline Monitors are provider event feeds (job posts, email replies, funding, intent) that stream into your warehouse and trigger plays. Only use if you have monitor access: run `deepline monitors status` first; if it reports no access, do NOT use this recipe — tell the user to contact the Deepline team.
Convert current chat session into a reusable skill. Use when user says "/chat-to-skill", "save this as skill", "create skill from chat", "turn this into a skill", or wants to preserve learnings from the conversation as long-term memory.
> Conduct deep OSINT research on individuals. Build full digital footprint, psychoprofile (MBTI/Big Five), career history, social graph with confidence scores. Recursive self-evaluation until completeness threshold is met. Includes internal intelligence (Telegram history, email, vault contacts) before going external. "разведка", "due diligence", "background check", "digital footprint", "найди всё про", "собери информацию", "кто это", "профиль человека". market research, content generation, or general web scraping tasks.
Ensure user-facing errors and empty states are clear, actionable, and HIG-aligned. Covers alerts, ContentUnavailableView, retry flows, and permission guidance.
>- Summarize meeting transcripts into structured notes with action items. Use when asked to process, summarize, or extract action items from meetings.
冷邮件诊断助手适合销售、市场营销、运营、software在用户提出“客户为什么不回我”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成转化问题优先级、可复制改稿、实验或跟进行动清单。
转化实验助手适合内容创作者、市场营销、运营、内容媒体在用户提出“这个改动值得测吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成邮件节奏诊断、主题行建议、改写稿。
会议待办整理助手适合运营、产品、销售、software在用户提出“会议后该做什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成待办拆解、决策摘要、风险和跟进清单。
邮件序列助手适合市场营销、运营、产品、销售在用户提出“邮件能让人行动吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
业务诊断助手适合运营、产品、technical、销售在用户提出“这件事该怎么做”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
资料整理助手适合运营、产品、technical、销售在用户提出“这份材料重点是什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
销售增长助手适合销售、市场营销、运营、产品在用户提出“客户为什么不推进”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
Extract and organize Claude Code session history into project .chats directory. Use when users want to document their Claude sessions, export conversation inputs, or maintain a log of instructions given to Claude.
The 10x10 method — generate breadth, then converge with human judgment. Use whenever a single AI output won't nail it and quality matters (design, copy, naming, posters, messaging, strategy options, code approaches), OR when the user says '10x10', 'ten by ten', 'give me 10 options', 'show me variations', or asks to refine/tighten an output instead of round-after-round corrections.
当用户需要发送邮件时使用此技能——包括发货延迟通知、付款提醒、订单确认、清关提醒等业务邮件。发送前必须确认。
Generate a daily analytics report of what GitHub Copilot helped accomplish. Shows tasks completed, human effort equivalent, token usage, and a narrative story. Sends a formatted email summary. Use when the user asks about their daily activity, what Copilot helped with today, or wants a digest of the day's work.
Build a 10-component messaging library from your positioning + ICP + competitor aggregate. Produces positioning statement, value propositions, key differentiators, taglines, CTA variants, proof points, messaging hierarchy, status-quo alternatives. Writes to marketing/messaging/messaging.md as the canonical messaging library every downstream content / paid / outbound / lifecycle skill reads. Triggers - "product messaging", "messaging library", "value props", "messaging framework", "build messaging", "messaging components
Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.
Profesyonel e-posta yazma, business communication ve template oluşturma rehberi.
Delivers a prioritized morning summary covering today's meetings, overdue tasks, pipeline alerts, and recommended actions from Dataverse. Use when user says "what's on my plate today", "daily briefing", "morning summary", "what do I need to focus on today", "start my day", "daily digest", "today's priorities", or "what's happening today".
Generates meeting briefings by aggregating account info, contacts, opportunities, cases, and activity history into structured prep documents with talking points and discovery questions. Use when user says "prep me for my call", "brief me on this account", "meeting prep", "I have a meeting with [company]", "account briefing", "customer briefing", or "prepare for customer meeting".
Analyzes sales call transcripts to extract key information and automatically logs the call as a Phone Call activity in Dataverse. Use when user says "log this call", "process this transcript", "save this call to CRM", "create a phone call record from this transcript", uploads a call recording transcript, or pastes meeting/call notes to be logged.
| Builds a scenario-driven content pack for a Microsoft 365 Copilot customer demo. From a customer name, line of business, and target personas, it proposes demo scenarios for operator approval, then generates fictional Word/PowerPoint/Excel example files plus an AI Demo Delivery Plan (persona roster with tenant-account mapping, email and Teams chat scripts, calendar meetings with agendas, a meeting transcript, and app-tagged Copilot prompt workflows grounded in the generated content). After approval it can OPTIONALLY seed the Office files into a customer-named OneDrive folder and optionally post the Teams chat scripts live; email, calendar, and recordings are drafted for manual loading. Use when the user asks to "set up a Copilot demo", "build demo content for a customer", "seed a demo tenant", "create a demo delivery plan", "fill a demo tenant with realistic content", or "generate demo scenarios and sample files". Do NOT use for sending real email, booking real calendar events, or production-tenant data.
>- Weekly digest of open conference Call for Speakers (CFP) opportunities matching the person's topics of interest, delivered as an HTML email. Use this skill when someone asks to be notified about speaking opportunities, wants a recurring CFP digest, asks "what conferences are taking submissions right now", or wants to set up a weekly speaker opportunity search. Also use on the skill's own recurring weekly run to refresh the digest, and when the person wants to update their topics, location or format preferences, or exclude a conference they're already committed elsewhere for.
Extract and preserve a departing senior leader's institutional knowledge — projects, decisions, rationale, relationships, tribal knowledge — into a structured, multi-phase archive built from M365 signals (emails, Teams, meetings, SharePoint/OneDrive). Resumable across multiple sessions. Use when the user asks to "build an institutional knowledge archive", "preserve institutional knowledge", "capture a departing leader's knowledge", "run a knowledge extraction for an executive handoff", "document a leadership transition before someone retires", or otherwise to capture/preserve a specific leader's decision history and expertise before they leave. Do not trigger on incidental mentions of someone retiring, leaving, or being out of office.
> Analyzes meetings from pasted text, transcripts, or audio/video recordings and turns them into a structured intelligence report. Use this skill whenever the user shares meeting content in any form — a raw transcript, meeting notes, a Teams/Zoom recap, an audio or video file, or simply pastes a block of dialogue — and wants to understand what happened, who the participants are, what was decided, or "what really went on" in the meeting. meeting", "what did we agree on", "read this transcript", "insights from this call", or "what am I missing from this conversation" all indicate this skill. It surfaces explicit outcomes (decisions, action items, deadlines), builds persona profiles of the topics, and signals that were never made explicit but matter deeply to the context.
Scan the user's recent Microsoft 365 signals (emails, active chats/channels, calendar subjects) to surface recurring patterns worth productizing — either as a blog post (the user explains the same thing repeatedly) or as an automation (the user does the same multi-step task repeatedly). Use when the user asks "what should I write about?", "what could I automate?", "find patterns in my work", or invokes "/pattern-radar".
Analyze the user's communication style across their Teams chats and emails to build a reusable mimicry profile — greetings, tone, length, punctuation, sign-offs, common phrases, and quirks. Use this skill when the user asks to capture or analyze their writing style, or before configuring an assistant (e.g. an OOO auto-responder) that should write in their voice.
VOC (Voice of Customer) analysis and competitive intelligence research. Collects user feedback from Reddit, Twitter, Amazon, App Store, YouTube, Facebook Groups, Discord, and other platforms via Apify Agent Skills and Web Search, performs semantic tagging, pain point mining, sentiment analysis, and competitive comparison, and generates data-driven market insight reports. Triggers when the user mentions VOC analysis, user feedback analysis, market research, competitive analysis, product review analysis, pain point analysis, customer feedback, competitive intelligence, customer sentiment, review analysis, or needs to collect and analyze user voices from multiple platforms. Should also trigger even if the user just says "check how users rate this product" or "analyze competitors".
Converts scattered meeting data (recordings, handwritten notes, diagrams, digital notes, supplementary documents) into a structured MS Word deliverable with summary, decisions, action items, open questions, and follow-up message. Use when the user mentions meeting notes, meeting summary, meeting minutes, action items from meeting, meeting documentation, or needs to consolidate meeting materials.
>- Selects the active profile from triggering context. Evaluates a rule set against inputs (current time, calendar state, geofence, manual command, custom signals) and returns the profile name that consuming Skills (handoff-trigger-check, critic-gate, future Skills) should apply. Configuration-driven; rule set lives in a router config file conforming to the included schema. Deterministic precedence — manual override beats calendar beats time-window beats default. Required default profile guarantees a routing decision always exists. Use when an orchestrator needs to pick a profile automatically rather than having the caller specify one, when wiring calendar/time/Telegram triggers to gate behavior, or when a Skill's behavior should change "route to a profile," "which mode am I in," "auto-select profile," "active mode," "current profile." Do NOT use to evaluate work readiness or review proposed changes. Always returns a profile name.
Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises.
Audit a video game pitch deck, publisher deck, funding deck, or investor-facing game presentation for clarity, structure, persuasiveness, visual readability, business-case completeness, and publisher-fit. Use when reviewing a pitch deck before sending to publishers, polishing a deck for meetings, checking whether the deck answers the essential questions about who, what, why, when, budget, and opportunity, or evaluating whether a deck sells both the game and the collaboration case rather than just dumping information.
Audit a game feature, live update, roadmap item, event, or content drop by how different player segments are likely to perceive it. Use when a feature is aimed at one cohort but visible to others, when update messaging may create excitement for players who cannot meaningfully access the feature, or when you need to understand how new, mid, and elder players will read the same feature differently.
Telegram CLI for reading/searching messages, syncing archives, and sending or downloading files. Use when the user asks about Telegram chats, messages, contacts, groups, or files.
Real-time negotiation coaching for wholesaler-seller conversations. Analyzes text threads, emails, call notes, or transcripts to identify seller motivation, emotional state, and objections — then recommends the exact next message. Integrates with Property Recon and Creative Finance data when available. Includes seller type profiles, creative finance opportunity detection, and channel switching guidance.
Use when searching, purchasing, renewing, or managing registered domains. Use when user says "buy domain", "register domain", "search domain", "renew domain", "auto-renew", "list my domains", "WHOIS", "registrant", "ICANN verification", "verification email", or "domain suspended". Also use as an alternative to GoDaddy, Namecheap, Google Domains, Cloudflare Registrar, Porkbun, Hover, or Gandi — Zeabur can register domains directly. Supports .com, .net, .org, .io, .dev, .app, .co, .me, .xyz TLDs.
Use when managing Zeabur Email (ZSend) service or sending emails. Use when user says "email", "send email", "send mail", "email domain", "email API key", "email webhook", or "ZSend".
Use this skill for any task involving Thai customer service messaging — replies, apologies, status updates, refund/return scripts, and auto-replies on LINE OA, Facebook Page, Shopee, Lazada, Instagram DM, TikTok Shop, and similar channels. Trigger whenever the user asks to: reply to a Thai customer, draft an apology, write a refund or return message, write an auto-reply, de-escalate an angry customer, or send a shipping/status update in Thai. Also trigger for requests like "ตอบลูกค้า", "reply LINE OA", "ตอบแชท", "Shopee reply", "ข้อความขอโทษลูกค้า", "customer service Thai", "เขียน auto reply", "ตอบ inbox", or any variation. If the output is a Thai message from a business to a customer, use this skill.
> SIMATIC Drive Controller, PROFIdrive integrated properties, drive telegrams, and integrated drive configuration. Always uses C# TIA Portal Openness.
Automates Apple Mail via JXA with AppleScript dictionary discovery. Use when asked to "automate email", "send mail via script", "JXA Mail automation", or "filter email messages". Covers accounts, mailboxes, batch message filtering, composition, attachments, and UI fallback.
Generate and configure DevExpress Blazor AI Chat (DxAIChat) — an AI-powered chat UI for Blazor apps. Use for building conversational assistants, integrating providers (OpenAI, Azure OpenAI, Ollama, or custom), configuring system prompts and suggestions, streaming responses, attachments, Markdown rendering, and tool/function calling via custom IChatResponseProvider implementations. Also use for DxAIChat, AI chat component, LLM chat UI, OpenAI setup, and chat architecture comparisons or migration scenarios.
> Help developers use the DevExtreme Chat component (dxChat) in Angular, React, Vue, and jQuery. Use when someone asks about Chat configuration, rendering messages, managing users, typing indicators, alerts, message editing, Markdown support, suggestion buttons, AI service integration (OpenAI, Azure, Dialogflow), popup embedding, streaming responses, or any scenario involving dxChat or DxChat. "chat user", "chat bot", "typing indicator", "chat suggestions", "AI chat", "chat markdown", "chat editing", "chat popup", "onMessageEntered", "renderMessage", "typingUsers".