「replies」の検索結果

Use when building, debugging, or documenting Telegram bot polling flows that need safe agent routing, state tracking, and final-only replies without webhooks.

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。

Search Twitter/X, read replies, find users, monitor accounts, export followers & gate X actions through Xquik. Not affiliated with X Corp.

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 addressing review feedback in analyze or reception mode, or handling GitHub PR feedback in autonomous, interactive, or summary mode for a named PR target. Classifies, applies, replies, or summarizes comments.

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。

Create Codex threads and send messages into Codex desktop-app (GUI) threads, then wait for and read their replies, so Claude can orchestrate Codex agents. Use when the user asks to message, direct, steer, start, check on, or hand work to a Codex thread or agent (often given as a thread ID like 01a10323-9edd-...), or to run Codex as a sub-agent.

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 personalized review responses for negative, neutral, and positive reviews — empathetic, professional, conversion-focused with platform-specific tone

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 cold outreach messages that actually get replies, on LinkedIn, in email, or in X (Twitter) DMs. Use this skill whenever the user wants to reach out cold to someone they don't know or barely know, including phrases like "write a cold DM," "cold email," "LinkedIn message to," "reach out to," "pitch [person]," "how do I get [person] to reply," "DM this investor/recruit/partner/podcast host," "email a founder/company I want to work for," "cold email for a job," "land a job at [company]," "reach out about a role," "follow up with someone who ghosted," or any request to draft a first-touch message to a stranger or near-stranger for fundraising, hiring, partnerships/BD, press/podcasts/speaking, or job-seeking. Trigger this even when the user just pastes a name, a role, and "help me reach out," and even when they don't say the word "cold."

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。

Review and resolve PR review comments on the current branch's PR in this Flutter repository, from both AI reviewers (CodeRabbit, CodiumAI, CodePilot, Copilot, etc.) and human reviewers. Fetches comments via `gh`, splits them into AI and human groups, verifies each comment against the actual Flutter code, triages them, proposes fixes, and optionally applies fixes, replies to comments, and pushes. Use when the user asks to review PR comments, resolve PR feedback, review AI comments, review human review comments, or handle code review feedback.

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。

Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why, AI policy for the marketing team, AI governance, AI acceptable use policy, which AI tools are we allowed to use, can I paste customer data into ChatGPT, shadow AI, AI use register, human review of AI output, when can we stop reviewing every AI draft, can the agent send on its own, the AI made a mistake now what, pull back AI autonomy, AI evals, our AI vendor changed the model, AI output went out wrong, prompt injection, can our AI read prospect replies safely, lethal trifecta, the AI leaked internal notes, turn off auto-generated ad assets, auto-applied recommendations, AI literacy training, EU AI Act Article 4, duplicate records in the CRM, dedupe before import, which value wins in a merge, CRM cleanup.

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。

Multi-agent review resolution with trust-but-verify methodology. Accepts a PR number/URL or a local code-review report file. Extracts review comments, verifies each with parallel agents using confidence scoring (0-100), filters false positives, presents a triage report for approval, then applies fixes and replies. Use when user runs /resolve-review, mentions "resolve PR comments", "address review feedback", "fix PR suggestions", "handle review comments", or "resolve review findings".

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 provides a Facebook URL or asks to read personal posts, comments, reactions, friends, timelines, profiles, stories, feeds, groups, events, or saved items, or to publish personal text posts, comments, and replies, or to discover public events happening near a place, nearby, or in a local area on a date, or to create, edit, publish, or delete their own Marketplace listings. To find, browse, or buy Marketplace listings, use shopping instead. Use pages commands for managed Facebook Page discovery, insights, native draft editing/deletion, same-draft publication, approved posts and native scheduling.

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。

Restate content as a flat list of atomic facts in the style of av/facts fact sheets. Use when the user says "just facts", "facts only", "as facts", "give me the facts", or replies with a bare "facts" / "facts?" to a previous message — then the scope is that message's content.

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。

Add Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.

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。

AI-powered Reddit seeding agent for founders. Analyzes a product spec, maps relevant subreddits, finds real threads where target users need help, drafts personalized replies and DMs, and posts approved outreach via Reddit API. Use when someone wants to find and engage their first users on Reddit, seed a product launch, or do community-led growth without a budget.

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。

This skill enables the agent to automatically answer Gmail messages on behalf of a client. The agent drafts and (when the user approves or when configured) sends replies using the client’s tone, si...

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。

4claw — a moderated imageboard for AI agents. Boards, threads, replies, media uploads, bumping (bump=false to not bump), greentext, and automatic capacity purges. Post spicy hot takes (what you’re REALLY thinking) — but no illegal content, doxxing, harassment, or minors.

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, rewrite, or condense emails with precise tone, length, and messaging. Perfect for cold outreach, replies, status updates, and escalations where clarity matters.

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。

Makes the agent reconsider a task it just handed back to the human and find a way to do it itself, checking memory, CLI tools, skills, MCP servers, and documentation in turn. Use when the user invokes `/you` or `$you`, or replies that the agent should do something itself rather than asking 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。

Triages reviewer comments on a GitHub PR: verifies each against the codebase, then accepts/pushes back/clarifies, replies in-thread. NOT for reviewing (mk:review-pr); NOT for fixes (mk:fix).

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。

Review-fix pipeline for Codex. Equivalent to the repository's Claude skill: collect review feedback, apply fixes through the existing review workflow, and prepare replies. Usage: /review [<issue#>|<PR#>]

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。

Add Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.

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。

Add Gmail integration to NanoClaw. Can be configured as a tool (agent reads/sends emails when triggered from WhatsApp) or as a full channel (emails can trigger the agent, schedule tasks, and receive replies). Guides through GCP OAuth setup and implements the integration.

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。

Prose final-pass editor for GitHub issue bodies, pull request bodies, release notes, README/docs changes, public comments, and user-facing explanations. Use when Codex drafts or revises substantial prose that will be published or committed, especially when the user asks to polish, de-slop, make it less AI-written, improve a PR/issue body, or prepare docs text; do not use for ordinary code implementation, debugging transcripts, logs, quoted text, command output, API names, or Chinese conversational replies unless explicitly requested.

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。

Analyze inbox emails to identify action-required items, prioritize by urgency/importance, classify by topic, and draft contextual replies. Use when triaging unread emails, prioritizing inbox, generating response drafts, or tracking email response status.

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。

Reads two or more supplier, bid or tender responses against a requirements list and returns a DRAFT comparison pack: a requirement-by-supplier matrix, gaps per supplier, clarification questions and neutral observations, for an evaluation panel. Never scores, weights, ranks or recommends a winner; the award stays with the panel. Use when the user asks to "compare these bids", "matrix the tender responses against our requirements", "collate the RFQ replies", "show me where each supplier falls short" or "draft clarification questions for the bidders". Do not use for scoring or weighting against agreed criteria, use supplier-evaluation-matrix instead, or for writing the requirements, use rfp-requirements-pack instead. Drafts for human review; never approves, authorises or signs off.

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。