「word」の検索結果

Render, preview, validate, and burn consistent production subtitles from QC-passed real-timestamp caption artifacts. Use for AI-video production, washed-video production, IndexTTS2 explainers, practical long-form videos, talking-head edits, Kimi-style dark rounded captions, warm-white translucent captions, subtitle styling, subtitle overlays, or fixing caption size, position, shadow, drift, and 4K scaling. Always pair with ra-audio-to-subtitles when final word timestamps do not already exist.

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 production subtitle artifacts from the final narration audio or final merged video using Volcengine Doubao ASR word timestamps. Use for local IndexTTS2 videos, Xiaohei page videos, talking-head delivery subtitles, SRT/VTT export, or whenever subtitle timing must match the final audio. Do not use script-length interpolation for final deliverables.

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。

Extract text from Microsoft Word documents

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 before routing a /meta-agent request to choose single-agent-creator, team-builder, or agentlas-packager from the user's wording and available files.

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。

Foundry IQ knowledge bases. WHEN: make local or Blob documents searchable; create/diagnose KBs; triage unsupported connectors or multi-source KB creation/reconfiguration (even with classic-search terms); connect existing KB to agents (including multi-source KBs); create/reuse a Search service; retrieve from an existing knowledge base with citations; no brand words needed. Read its procedure before query/target questions. NOT: other KB providers, repository-file search, classic Azure AI Search index/query/app work with no Foundry IQ KB or connector request, generic agent creation.

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。

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

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Scrape BOSS直聘 (job listing site) via Chrome CDP. Searches jobs by keyword/city/filters, fetches JD details, outputs structured JSON/CSV with plaintext salary, and can summarize scraped results into a job-market prompt. Use when user wants to search/analyze jobs on BOSS直聘 or zhipin.com.

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Research any company, product, or service from a URL plus description and build a comprehensive, evidence-bound AEO/GEO/AI-visibility prompt panel across buyer jobs, information acts, journey states, B0-B5 proximity, aided status, roles, locales, variants, partitions, surfaces, and measurement lanes. Use when a user wants prompts to track in ChatGPT, Claude, Gemini, Perplexity, AI search, or answer engines; wants an AI-visibility measurement design; or needs a versioned panel rather than an SEO keyword list.

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。

Capture a user's real writing voice from 5-20 prior samples, store a local voice.yaml fingerprint, and enforce it on newsjack drafts so AI tells disappear. Measures voice with named stylometry lenses (Burrows's Delta function-word vector, MATTR lexical diversity, sentence-length burstiness, Biber Dimension-1 register, opener-POS profile, punctuation rates) and gates drafts against the fingerprint as bands, not vibes.

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。

Turn an approved measurement charter, ICPs, and buyer jobs into a budget-aware prompt coverage blueprint across proximity bands, aided status, information acts, journey states, roles, locales, evidence grades, partitions, and measurement lanes. Use before prompt wording to define required, optional, and prohibited canonical intent cells.

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。

Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes 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。

Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes 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。

Reads, searches and exports local Claude Code and Kimi CLI history without resuming work: timelines, verbatim user input, keyword or fuzzy recall, file recovery from transcripts, and which session ran a given command in a known time window. Use when the user asks what was said, wants a session ID or original context, needs proof of what a session contained, or needs past-session runtime evidence about commands, tool calls and hook runs — query this index instead of raw-scanning transcript files. Not for Codex (use read-codex-history); with no platform or several named, start at local-conversation-history.

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。

Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".

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 what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. Use when asked to review a system prompt and context assembly, cut token usage without losing quality, debug an agent that ignores instructions, or audit how retrieval results, history, and tool definitions are packed into the window. Produces a context inventory with a keep/cut/restructure verdict per component, ordering and caching fixes, and a token budget. For wording-level prompt tuning use prompt-optimizer.

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 a content style guide / voice & tone guide so everyone writes consistently. Use when asked to write a content style guide, a voice and tone guide, editorial guidelines, or UX-writing standards. Produces a usable guide — voice principles with do/don't examples, tone-by-context, mechanics (grammar, capitalisation, formatting), terminology/word list, and accessibility/inclusivity rules — that a team can actually apply.

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 product listing for an overseas marketplace or store, localised for the buyer rather than translated from Chinese: title, bullet points, description, search terms and the compliance claims that must or must not appear. Use when asked 帮我写亚马逊 listing, 跨境电商标题, write a product listing for Amazon, TikTok Shop, Shopee, Lazada, Etsy or Shopify, or localise my listing for the US, UK, Germany or Japan. Produces the listing in the target language within the platform's field limits, a keyword map, a compliance check of every claim, and a list of images the listing needs.

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 proposal that wins the engagement — outcomes over hours. Use when asked to write a consulting proposal, a project proposal, a pitch for a client engagement, or to respond to an RFP. Produces a proposal — the client's problem in their words, your approach & deliverables, outcomes/value, timeline & phases, investment with options, and why-you — framed around results, not a task list. Ready to export as a designed PDF.

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 asked 帮我写公文, 写一份请示, 写通知 / 报告 / 函 / 纪要, 公文格式怎么排, check this document against GB/T 9704, or draft an official document for a Chinese government body, public institution or state-owned enterprise. Produces a 公文 in the right document type with every required element in the order GB/T 9704-2012 sets, heading levels and numbering, a layout specification for Word or WPS, and a check of the type-specific rules such as one matter per 请示.

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。

Decode a mainland China labour contract (劳动合同) before signing: probation, pay and its structure, working hours, social insurance, non-compete and confidentiality, termination terms and anything that conflicts with the Labour Contract Law. Use when asked 帮我看看劳动合同, 劳动合同有什么坑, 试用期合法吗, 竞业限制条款, or review my Chinese employment contract. Produces a clause-by-clause decode with red, amber and green flags, the statutory limits each clause must respect, the questions to ask HR, and suggested wording for changes. Not legal advice.

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。

Practise the essay paper (申论) of the Chinese civil service examination (国考 / 省考): work a question from the given materials (给定资料), find the scoring points (要点), draft an answer in the expected format, and mark it the way examiners do. Use when asked 申论怎么写, 帮我批改申论, 归纳概括题怎么答, 申论大作文, 公文写作题, or practise the shenlun paper. Produces a question-type diagnosis, the points extracted from the materials with their source paragraphs, a model answer within the word limit, a marking of the person's own answer against the points, and a practice plan.

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。

Triage an incoming insurance claim: check the coverage trigger against policy wording, band severity and complexity, screen for fraud indicators, set a first-pass reserve range, and route with an SLA. Use when asked to triage a claim, review a first notice of loss (FNOL), assess a new claim, decide fast-track vs adjuster routing, or screen a claim for SIU referral. Produces a structured triage note with coverage view, severity band, indicator screen, reserve range, and a routing recommendation.

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 asked 把这段黑话翻译成人话, 这句话到底什么意思, 帮我把周报去黑话, 用大厂黑话改写这段, 互联网黑话词典, 对齐抓手闭环是什么意思, or translate Chinese internet-company jargon (互联网黑话) into plain words and back. Produces a line-by-line translation of 黑话 into plain Chinese with what each sentence actually commits to (who, what, by when), a rewrite at the chosen tone (白话, 得体职场, or 满分大厂味 parody), a 40-plus term glossary with plain meanings, and a 周报去黑话 mode that turns a jargon-heavy weekly report into one a reader can act on.

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 asked 帮我设计一节班会, 主题班会方案, 班会课教案, 开学第一课, 安全教育班会, 心理健康班会, or plan a class meeting as a 班主任. Produces a 主题班会 plan in Chinese with the background and goals, preparation, a timed sequence of student-led activities, discussion questions, the 班主任's closing words, follow-up actions for the following weeks, and notes for sensitive topics.

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。