“replies”的搜索结果

Collects every tweet in an X (Twitter) conversation thread given a conversation id (root tweet id) — the focal tweet plus all replies, sub-replies, and quote chains — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, in_reply_to mapping, and cursor for pagination. Use when user mentions Twitter conversation, X conversation thread, conversation_id, thread scraper, scrape Twitter replies, all replies to a tweet, replies under a tweet, sub-replies, nested replies, thread harvester, get replies of a tweet, scrape comments on Twitter, scrape comments on X, full thread extraction, conversation export, conversation tree, reply chain, thread dump, X tweet thread, twitter thread scrape, comment scraping twitter, comment scraping x, focal tweet plus context, root tweet plus replies. Also applies to sentiment analysis on a single viral tweet, controversy mapping, harvesting community Q&A threads, capturing AMA threads, recovering long-running discussions, and any paginated bulk reply collection driven by a conversation id.

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通读完整邮件往来，区分需要回复、其他待办和等待对方的事项，并整理优先级。参考历史发件撰写回复草稿，核实获批发送或整理操作的结果。

• 整理今日收件箱的优先级
• 为紧急邮件撰写回复草稿
• 查找遗漏的客户或供应商请求

Review unread customer email threads, sort them by the response needed, and prioritize urgent deals. Prepare concise replies in the sender's usual style, while highlighting sensitive messages and questions that need the user's input.

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• Find customer emails that need a reply
• Prioritize replies by deal timing and urgency
• Draft scheduling replies using calendar availability

Turn applications into a ranked shortlist using only the job’s stated criteria, with evidence for each score. Prepare candidate replies, coordinate interview times, and create an onboarding checklist while leaving hiring decisions to the owner.

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• Shortlisting applicants against the job’s stated criteria
• Drafting interview invitations and rejection replies
• Coordinating interview times

Pulls replies from a Smartlead campaign, classifies each as positive/neutral/negative/OOO/bounce/unsubscribe using Claude, and reports the positive reply rate — the north-star metric for cold email. Use when the user wants to know if a campaign is actually working (not just getting replies, but getting the RIGHT replies). Triggers on "score my replies", "how's campaign X doing", "positive reply rate", "is this campaign working".

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Triage SDR replies and turn inbound responses into safe next actions, CRM handoff notes, suppression updates, objection responses, referrals, and meeting prep triggers. Use when "SDR reply", "triage replies", "outbound replies", "interested reply", "objection reply", "not interested", "unsubscribe", "wrong person", "bounce", "sales follow-up", "booked meeting", or any request to classify and respond to sales development replies.

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使用Discord测试机器人核查连接信息和读取权限，并通过证据验证消息、文件、讨论串操作及OpenClaw响应，同时检查结果日志和测试对象的清理情况。

• 核查机器人身份和历史记录读取权限
• 验证消息、文件和讨论串操作
• 验证OpenClaw回复、流式发送及输入提示

Make agent replies shorter and easier to scan by putting answers first and removing filler. Preserves technical details, exact commands, numbers, and essential conditions while keeping the user's chosen language.

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• Reading concise replies in a terminal
• Getting conclusions before explanations
• Reducing wording while keeping technical details

Compress agent replies into short phrases while preserving technical details, negations, numbers, and exact commands. Use it to reduce repeated explanations and keep chat responses brief until you explicitly turn the mode off.

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• Keeping technical replies brief
• Removing repeated explanations
• Maintaining concise replies throughout a session

Adapt agent replies for readers with ADHD by putting the next action first, numbering steps, and restating progress across turns. Replies include concrete time estimates, visible completed work, and fewer tangents to make tasks easier to follow.

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• Make the first action clear when starting a task
• Follow numbered steps through a task
• Keep track of progress across conversation turns

Create concise B2B outreach emails and follow-ups tailored to a prospect’s situation. Plan sending setup, coordinate email with LinkedIn and other channels, and organize reply handling to move interested prospects toward meetings.

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• Writing an initial email tailored to a prospect’s situation
• Planning follow-ups that add new information
• Coordinating email and LinkedIn outreach

Make agent replies and progress reports concise while preserving exact code, commands, numbers, and meaning. The guidance puts conclusions first, removes filler, and uses complete wording whenever brevity would make warnings or instructions unclear.

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• Shortening agent replies
• Making progress reports easier to scan
• Reporting errors with a clear next step

Draft posts, replies, launch copy, or emails in a specific person's writing style using a validated profile and stored source material. Produce two or three checked options, or build and validate the profile first when needed.

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• Draft short posts or replies in a person's style
• Prepare launch copy or recruiting blurbs
• Draft emails that follow a validated style profile

Sort incoming email into decisions, drafted replies, and handled messages. Get a ranked list of important requests, deadlines, and past commitments, plus reply drafts based on your writing style, including from pasted email text.

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• Prioritizing a backlog of unread email
• Finding deadlines and commitments in long threads
• Drafting replies in your usual writing style

Helps build customer support agents that classify incoming messages, draft replies, and hand difficult cases to people. Defines clear rules for permitted actions, policy-based answers, privacy concerns, and verification before reporting an action as complete.

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• Designing an agent that classifies incoming support messages
• Building a refund email agent with policy-based replies
• Defining rules for handing sensitive cases to a person

Build and review Kortix replies that display cards, comparisons, charts, maps, and tabs. The skill guides structured UI blocks in OpenUI Lang, their web and mobile rendering, validation, Markdown conversion, and compatibility checks.

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• Designing visual components for Kortix replies
• Implementing web and mobile renderers
• Debugging invalid or undisplayable UI blocks

Connect Slack to Kortix and handle team conversations through the Slack CLI. Show live progress, send formatted replies, share files, and search messages, with thread binding that routes follow-up replies back to the same agent session.

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• Connect a Slack workspace to Kortix
• Show task progress and results in a Slack thread
• Share generated files in Slack

Automate X / Twitter posts, image uploads, replies, searches, and deletions through browser tools. Includes checks for disabled send buttons, recovery steps for editor problems, and workflows for avoiding duplicate replies.

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• Publishing posts with images
• Finding relevant posts and replying
• Troubleshooting a disabled send button

Prepare and publish Xiaohongshu posts, find relevant posts, and send authorized comments or replies using the selected account's browser. Manage drafts and media, verify visible outcomes, and record results in the operations panel.

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• Prepare post drafts and attach image or video assets
• Publish authorized posts from scheduled sessions
• Search for posts and draft relevant comments

Review comments on published WeChat articles, group them by the response needed, and draft brief, polite replies. Send replies, feature or delete comments, or change their status only when the user explicitly requests those actions.

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• Sort article comments by the response needed
• Draft brief replies to reader comments
• Feature or delete comments on explicit request

X (Twitter) keyword-based reply posting: search tweets by keyword, read each tweet's content, generate contextual replies from a configured brand persona, and post replies to the reply area. Use when user wants to batch reply to X tweets by keyword, auto-comment on X topic tweets, drive traffic via X comments, X comment outreach, search X tweets and leave comments, bulk reply to Twitter search results, keyword comment on Twitter, post replies on X search page, Twitter keyword comment marketing, X reply campaign, engage with X discussions, or comment on tweets matching a topic.

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Scrapes tweets from an X (Twitter) user profile timeline given a handle, with selectable mode: tweets, tweets+replies, or media-only. Returns normalized per-tweet data including text, author profile, engagement counts, media, hashtags, mentions, and cursor for pagination. Use when user mentions X user tweets, Twitter user tweets, profile timeline, user feed, @handle tweets, scrape Twitter user, scrape X account, get all tweets from a user, scrape user timeline, download user posts, export tweets from user, with_replies tab, replies tab Twitter, media tab Twitter, photos of user Twitter, videos of user Twitter, latest tweets from user, recent tweets from account, KOL tweets, influencer tweet history, account post extraction, twitter handle scraper, x handle scraper, get tweets by username, monitor a Twitter account, monitor an X account, daily tweet export from handle, scrape from:username, twitter profile posts, x profile posts, by handle, by username. Also applies to building a creator backlog, tracking competitor accounts, populating quote-tweet research datasets, or any paginated bulk collection driven by a single user handle.

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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.

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Personal App-in-Skill voice-of-customer desk (Busabase App-in-Skill) aggregating user feedback from support email, Discord/Slack communities, X replies, app-store reviews, surveys, and interviews into clustered feature requests and a roadmap decision queue. Use when the user invokes $kelly-feedback or /kelly-feedback, or mentions user feedback, voice of customer, feature requests, roadmap decisions, feedback clustering, feedback triage, request dedupe, changelog replies, decline replies, or reviewing what users are asking for.

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