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
> Receive and verify Telnyx webhooks. Use when setting up Telnyx webhook handlers, debugging Ed25519 signature verification with the telnyx-signature-ed25519 and telnyx-timestamp headers, or handling messaging events like message.received, message.sent, or message.finalized.
> Receive and verify Zoom webhooks. Use when setting up Zoom webhook handlers, debugging signature verification, completing the endpoint.url_validation handshake, or handling meeting and recording events like meeting.started, meeting.ended, meeting.participant_joined, or recording.completed.
Use when the user wants to register, inspect, manually run, or remove scheduled Claude skills with Telegram push notifications. Presents a menu, discovers schedulable skills with headless-prompt frontmatter, converts natural-language schedules into cron entries with conflict confirmation, writes managed config, and verifies notification delivery. NOT for one-off task execution without scheduling or for running skills that lack a headless prompt.
>- Coordinate agents via the AMQ CLI for file-based inter-agent messaging. Use this skill whenever you need to send messages to another agent (codex, claude, or any named handle), check your inbox, drain queued messages, set up co-op mode between agents, join a swarm team, route messages across projects, or diagnose delivery issues. Also use it when you receive a message and need to know how to reply, inspect receipts, or handle priority. Covers any multi-agent coordination task where agents need to talk to each other — review requests, questions, status updates, decision threads, wake notifications, and orchestrator integration (Symphony, Kanban). For collaborative spec/design workflows specifically, prefer the /amq-spec skill which provides structured phase-by-phase guidance. Not intended for distributed systems design (RabbitMQ, Kafka), CI/CD pipelines, or single-agent tasks with no partner.
Format dates and times according to specific requirements for meeting confirmations
Parse meeting request emails from JSON format and extract duration and time constraints
Techniques for retrieving structured information from enterprise Slack/document JSON data files.
Workflow for parsing meeting request emails, matching constraints to calendar availability, and generating reply files.
Parse meeting request emails to extract duration and time constraints, then find the earliest available time slot on a calendar.
Read input JSON files with email requests and write results.json with reply filenames and recipients.
Skill to extract information from the structured JSON data, including Slack messages and document metadata.
Parse duration and time constraints from email text.
Algorithm to find earliest available meeting slots given constraints and existing appointments.
Uses regular expressions to parse dates, time ranges, and durations from natural language text like meeting requests.
Mine Slack data for embedded URLs, mentioned products, competitive intelligence, and cross-referencing with external data sources.
Correlate and merge data from multiple sources (documents, Slack, meetings, URLs) to answer enterprise questions.
Parse meeting requests with timezone handling and constraint detection
Comprehensive guide for retrieving structured information from enterprise JSON data files containing Slack messages, documents, meetings, and metadata.
Advanced patterns for analyzing Slack conversations to extract reviewers, competitor insights, and shared resources from enterprise product channels.
Schedule meetings into calendar free slots considering time constraints, timezone conversion, and blue-block overrides.
Finding competitor product discussions, insights, and demo URLs across all ContentForce-related Slack channels
Complete guide to retrieving structured answers from enterprise product JSON data files containing Slack, documents, meetings, and PRs
Schedule multiple meeting requests into a calendar with earliest-first logic, then generate formatted reply .txt files and a results.json summary.
Skill for scheduling meetings.
Deep parsing and structural querying of nested JSON documents, resolving implicit relations across multi-modal corporate datasets like Slack messages and PRs.
Extract evidence from all three tiers (explicit reviewers, substantive feedback contributors from Slack and transcripts, and other identifiable contributors). Follow artifact references and traverse relationships to collect complete answer sets.
Parses email messages from JSON input file to extract meeting duration, date constraints, time-of-day constraints, and recipient contact information for each meeting request.
Use this skill when you need to parse meeting schedule request emails from a JSON file, extract meeting duration, date/time constraints, sender information, and message IDs. Handles various natural language patterns for expressing meeting preferences.
Use this skill to read and parse structured email data from a JSON file, extracting fields like message ID, sender email, subject, body, and meeting constraints (duration, preferred times/dates).
Extract meeting duration, constraints, and metadata from the input JSON file containing email requests.
Generate meeting confirmation text files based on a specific template and save the results in a JSON log.
Extracts meeting requirements from /root/test_input.json, handling variable constraints and field parsing.
Resolves scheduling conflicts between email requests and calendar availability, prioritizing meeting requests over blue (flexible) blocks.
Parse meeting request emails from test_input.json to extract meeting details. This skill helps extract recipient email, message ID, meeting duration, and any date/time constraints from JSON email records. Use this whenever you need to process meeting requests from a JSON file.
Generate properly formatted meeting confirmation emails and save results. This skill handles creating reply text files with exact formatting (date format with day name and full date, time format with leading zeros), generating results.json with metadata, and ensuring compliance with the response template. Use this whenever you need to format meeting confirmations or generate scheduled meeting documentation.
Find the earliest available meeting time slots that satisfy constraints. This skill implements the scheduling algorithm to match meeting requests with available calendar slots, handling blue (flexible) block overwriting, time constraints, and date preferences. Use this whenever you need to schedule a meeting or find available time slots.
> Analyze Slack message threads to identify participants, extract insights, and find shared resources. Use this skill when tracing who contributed to discussions about documents, competitor products, or shared URLs/demos in enterprise Slack data.
Schedule meetings by matching email requests against calendar availability. Use this skill when processing meeting request emails, finding optimal meeting times, or generating meeting reply templates. Triggers on phrases like "schedule a meeting", "find a time", "propose meeting slots".
Generate formatted meeting reply emails and save them as .txt files, then log results to results.json. Use when you need to respond to meeting scheduling requests with proposed time slots.
Extracts meeting durations and constraints from a meeting request JSON file (e.g., test_input.json). Use this whenever you need to process incoming meeting invitations to understand their specific requirements.
Generates reply text files and the final result log with specific formatting for date, time, and JSON. Use this skill whenever you need to provide a professional meeting proposal in a fixed format.
Logic for finding the earliest possible meeting slot based on calendar availability and email request constraints. Use this skill whenever you need to propose a meeting time from a set of constraints and an existing schedule.
Extract meeting request details from JSON input. Use whenever you process meeting requests.
Use this skill whenever you need to schedule meetings, parse calendar PDFs, resolve overlapping time windows across timezones, and format schedule responses.
Multi-hop search over enterprise artifacts to find key reviewers, approvers, feedback contributors, authors, product reports, competitor insights, and demo URLs. Prevents cross-product leakage and prevents treating meeting participants as reviewers.
Parse scheduling constraints from a email text.
Extract and analyze iOS IPA, .app bundles, Mach-O binaries, .dylib, and .framework files using ipsw, otool, strings, radare2/rizin, and Ghidra headless. Reverse engineer iOS apps, extract HTTP API endpoints (URLSession, Alamofire, Moya, AFNetworking, GraphQL, WebSocket), trace call flows from ViewControllers to network layer, analyze security patterns (ATS, cert pinning, keychain, jailbreak detection), audit static iOS vulnerabilities (insecure local storage, WebView/JS-bridge, deeplink/URL-scheme hijack, weak crypto/RNG, biometric-bypass patterns, sensitive-data logging, ATS detail, privacy/tracking, entitlements risk, debug artifacts), deep-scan for cloud & SaaS credentials (Firebase, AWS, GCP, Azure, Stripe, GitHub, GitLab, Twilio, SendGrid, Slack, Telegram, web3) with false-positive minimization (placeholder allowlist, format/entropy validation, client-safe tagging), perform LLM-assisted binary reversing analysis with Ghidra scripts, fingerprint embedded third-party SDKs with CVE checking, and detect anti-tampering protections (obfuscation, anti-debug, dylib injection prevention, integrity checks). Use when the user wants to extract, analyze, or reverse engineer iOS packages, find API endpoints, follow call flows, audit app security or vulnerabilities, scan for leaked secrets, identify third-party SDKs, detect app protections, or perform deep binary analysis.
情圣 — 中文男性社交与恋爱私教（中文恋爱 AI · 恋爱话术生成器 · 微信聊天助手 · 高情商回复 · 情感咨询替代）。帮兄弟读懂女生发的消息、看懂聊天/朋友圈截图、判断对方是不是对自己有意思、想清楚下一步该回什么 / 该不该回 / 该怎么约。覆盖微信、探探、Soul、Bumble、青藤之恋、陌陌、Tinder 等平台，提供开场话术、暧昧期推进、约会邀约、冷启动挽回、朋友圈展示面诊断、PUA 课程替代方案、恋爱阶段判断、多目标档案管理。当用户问「她这话什么意思」「我该怎么回」「帮我看看这段聊天」「这截图你给我分析一下」「她对我有意思吗」「该约她了吗」「冷场了怎么破」「这条要不要回」「被已读不回怎么办」「朋友圈怎么评论」之类的问题时，务必使用本 skill。即使用户没明说「教练」「分析」也应触发——只要话题是和某个具体女生的互动就用。