「title」の検索結果

Produce a polished local talking-head or narrated screen-recording rough cut without a cloud editor. Use when Codex must clean Chinese or mixed Chinese-English speech, correct product terminology before semantic editing, compress pauses without making speech breathless, preserve source resolution and frame rate, normalize dialogue loudness, generate final-audio subtitle artifacts, or benchmark local output against ChatCut/video-use/chengfeng/AI剪口播.

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。

Creates video/GIF memes by overlaying images (logos, avatars, stickers) onto moving objects in a clip with frame-accurate tracking, then exports MP4 + GIF. Use whenever the user wants a meme, 梗图, 表情包, or reaction GIF from footage; to cover faces in a video; or asks to 把 logo/头像贴到视频里跟着动. Not for transcript-driven editing, programmatic scene generation, or subtitle work.

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。

Fetches real, citable Bilibili (B站) video data — stats, metadata, tags, and full danmaku text — via login-free API calls, never hand-typed or estimated. Use when citing view/like/favorite counts, analyzing why a video performed, or archiving a Bilibili source into a knowledge base. Accepts BVID, av numbers, b23.tv links, or full URLs; subtitles and 收藏夹 (favorites) enumeration need the user's Bilibili login.

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 counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework. Use when asked my company countered my resignation, should I accept a counteroffer, they offered me more to stay, or decode this retention offer. Produces a component-by-component decode with 🔴🟡🟢 severity, the questions that expose which promises are real, and the stay/go decision sheet.

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 conference talk proposal / CFP submission for a tech or developer conference. Use when asked to submit to a CFP, propose a talk, or write a session abstract. Produces a compelling title, abstract, audience takeaways, an outline, and the speaker pitch — tuned to what selection committees actually look for.

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 clear, reproducible bug report that gets fixed fast. Use when asked to write a bug report, file a defect, report an issue, or turn 'it's broken' into an actionable ticket. Produces a structured report — a precise title, steps to reproduce, expected vs. actual, environment, severity/priority, and evidence — so a developer can reproduce and fix it without a back-and-forth.

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。

Produce a matched Chinese and English CV (中英文简历) from one set of facts: each version follows its own conventions rather than a literal translation, with names, titles, dates, education and company names rendered correctly in both. Use when asked for a Chinese and English resume, translate my CV into Chinese, 中英文简历, 英文简历, or apply to a foreign company in China or a Chinese company abroad. Produces the Chinese CV, the English CV, a consistency table proving the facts match, and a glossary of the terms chosen.

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。

Scan an iOS/macOS Xcode project for common App Store rejection patterns before submission. Use when preparing an app for App Store review, after receiving a rejection from Apple, or when auditing metadata, subscriptions, privacy manifests, entitlements, or design compliance. Integrates with the asc CLI for metadata inspection.

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。

Read and write Twitch via the Helix API: channel profile, follower stats, live stream status, past videos, channel title and game updates, clip creation. Trigger phrases: twitch, stream stats, stream followers, channel update.

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 B2B contacts with Apollo.io: find people by title and company, enrich contacts and companies. Trigger phrases: apollo, find prospects, enrich contact.

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。

Cut AI tells from text you write or edit for a human reader (commit messages, PR titles and bodies, docs, code comments, replies). Apply before committing, posting, or sending; leave prose you didn't touch alone.

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。

Retrieve a vehicle history report from a VIN using the CarsXE API. Use this when a user wants to know a car's history — past owners, accidents, title status, odometer readings, or whether it's been in a crash.

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。

Deterministic pre-publish scan that refuses AI-slop tells in anything about to be written, published, or sent: files, artifacts, slide titles, table headers, diagram labels, chat messages, commit messages. Use before publishing or sending any deliverable, in CI, or wired as a Claude Code hook so the check runs without being remembered. The editorial counterpart is no-ai-slop, which rewrites; this one blocks.

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 running the final pre-submission preflight for an Accounting, Organizations and Society (AOS) manuscript — Editorial Manager files (anonymized manuscript, separate title page, declarations), Elsevier policies (competing interests, AI, ethics), and open-access decisions. Checks readiness to submit; it does not handle the post-decision response (aos-rebuttal).

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。

Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles (model-tag, plain title, "Get Plus"). Fixed 9:16 viewport. Outputs HTML + PNG.

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。

Crawl a website's sitemap and blog index to build a complete content inventory. Lists every page with URL, title, publish date, content type, and topic cluster. Groups content by category and topic. Optionally deep-reads top N pages for quality analysis and funnel stage tagging. Use before SEO audits, content gap analysis, or brand voice extraction.

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。

Identify programmatic SEO page patterns worth building for your product — vs/ pages, integrations/, for-{industry}/, alternatives-to/, use-cases/ — and design the template structure, data model, and priority order. Outputs a complete pSEO blueprint with URL patterns, title templates, content frameworks, and data sources per variable.

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。

Build a prospect list of companies with decision makers, verified contact info, and hiring/intent signals. Use when asked to find leads by industry, build an account list with specific titles, prospect companies that are actively hiring, or create a targeted outreach list filtered by company size, location, and hiring activity.

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。

Scrapes LinkedIn job postings using the JobSpy library (python-jobspy). Use this skill whenever the user wants to find jobs on LinkedIn, search for open roles, pull job listings, build a job pipeline, source job targets for GTM research, or monitor hiring signals. Even if the user just says "find me some jobs" or "what roles is [company] hiring for", use this skill. It runs a local Python script that outputs a CSV of job postings with title, company, location, salary, job type, description, and direct URLs.

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 for job postings across LinkedIn and Indeed. Use when users want to find open roles, monitor hiring signals, identify companies hiring for specific positions, or research competitor hiring activity. Returns job title, company, location, salary, description, seniority level, and direct apply URLs. No login or cookies required.

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 speaker names, titles, companies, and bios from conference websites. Supports direct HTML scraping and Apify web scraper fallback for JS-heavy sites. Use for pre-event research and outreach targeting.

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 commenters from LinkedIn posts via Apify. Returns commenter names, titles, LinkedIn profile URLs, and comment text. Use to find warm leads engaging with relevant discussions. No LinkedIn cookies required.

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。

Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings the claim. The board is a PHOTOGRAPH and the ink is multiplied onto it, so the surface sheen and window light come through the strokes; the drawings are generated as line art and traced to ordered strokes, then revealed in drawing order on the word they belong to. The layout is SOLVED from the beats, never hand-placed. FREE assembly (Pillow plus ffmpeg) apart from one board photo and one drawing per subject, both one-time per brand. Use for the whiteboard format.

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。