420 件 ・ 関連度順
概要と使いどころ
从传播心理和受众感受检查成稿是否真正有共鸣，定位受众不明确、主张过多、立场漂移和分享动机不足等问题。用户担心内容不打动人、没流量，或发布前想检查共鸣结构时使用。 English: Review a finished draft for audience resonance and communication psychology, identifying vague audiences, too many claims, shifting positions, and weak sharing motives. Use when content may not connect, may underperform, or needs a pre-publish resonance check.
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。
在短视频正文完成后，检查并生成前五秒开头，让开场更抓人、可信，并与正文承诺一致。用户要求优化视频开头、降低开头流失、写口播 Hook 或增强第一句话时使用。 English: Diagnose and write the first five seconds of a short video after the main script is ready, making the opening engaging, credible, and consistent with the video's promise. Use to improve retention, create a spoken hook, or strengthen the first line.
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。
检查文稿里的 AI 味和账号语气偏差，包括机器化表达、翻译腔、虚构脆弱感和过度金句。用户问文案是否像 AI 写的、是否像本人说话，或希望降低 AI 痕迹时使用。 English: Check drafts for AI-writing signals and voice mismatch, including robotic phrasing, translation-like prose, fabricated vulnerability, and forced quotable lines. Use when the user wants the copy to sound more human or more like the target account.
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 should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.
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 should be used when analyzing sector and industry performance charts to assess market positioning and rotation patterns. Use this skill when the user provides performance chart images (1-week or 1-month timeframes) for sectors or industries and requests market cycle assessment, sector rotation analysis, or strategic positioning recommendations based on performance data. All analysis and output are conducted in English.
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 should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. All analysis and output are conducted in English.
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 a Runner production release — bump the workspace version, tag vX.Y.Z, let release.yml build the draft for both platforms, write bilingual release notes (English, with 中文 collapsed in a details block), hand the publish switch to the user, and sweep the shipped work's docs once the release is live
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 an openai-guardrails-python release plan or final release candidate against the previous remote tag, determine the compatible release type, audit runtime and packaging risk, inspect current CI, and produce an English ship-or-block report. Use for pre-release readiness checks, not ordinary PR review or implementation.
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。
AutoMCM-Pro industrial-grade math modeling agent. Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human cross-validation at each pipeline stage. Use for both CUMCM (Chinese) and MCM/ICM (English) competitions.
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。
AutoMCM-Pro industrial-grade math modeling agent (opencode binding). Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human cross-validation at each pipeline stage. Use for both CUMCM (Chinese) and MCM/ICM (English) competitions.
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。
AutoMCM-Pro industrial-grade math modeling agent (Codex CLI binding). Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human cross-validation at each pipeline stage. Use for both CUMCM (Chinese) and MCM/ICM (English) competitions.
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。
AutoMCM-Pro industrial-grade math modeling agent (DeepSeek Harness binding). Supports AP (AI-led) and Manual (human-spec-led) dual modes with mandatory GitOps checkpoints, forced self-verification of all solver code before LaTeX inclusion, and structured human cross-validation at each pipeline stage. Use for both CUMCM (Chinese) and MCM/ICM (English) competitions.
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 exactly 8 context-sensitive keywords from Chinese, English, or mixed text and turn them into a distributed weighted Graph View with no center goal node. Use when Codex needs keyword extraction, blacklist filtering, co-occurrence edges, node definitions/notes, weighted graph JSON, or an online Graph View tool for text analysis.
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 narrow iMessage/PTT Border-Light HyperCard style nine-grid cards in Chinese or mixed Chinese-English. Use when the user says "iMessage 九宮 HyperCard", "iMessage 九宮", "做成 iMessage 九宮", "用 iMessage 九宮 HyperCard 整理", asks for a phone-readable short card with Context below, or wants Mandala/九宮/HyperCard content formatted for blue-bubble/iMessage sharing with long links, paths, and rules moved out of the card.
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。
Full ICP-to-leads pipeline. Describe your ideal customer in plain English and get a ranked table of enriched decision-maker leads with emails and phone numbers.
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。
Chinese Word document formatting toolkit for .docx/.doc/.wps workflows. Use when Codex needs to diagnose document formatting, fix mixed Chinese/English punctuation and spacing, apply official/academic/legal/custom presets, normalize tables and page numbers, preserve or output Word revision marks, convert plain text or Markdown into formatted DOCX, or batch/script document cleanup for Chinese official 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。
Generate speech audio from text using Qwen3 TTS, or clone a voice from reference audio. Triggered when the user wants to convert text to speech, generate audio, read text aloud, or clone/mimic a voice. Supports multiple speakers, English and Chinese, and emotion/style control.
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 and ship a blog post for your project that reads like a human wrote it and pulls SEO traffic to your site. Use when a contributor wants to draft, edit, or publish a blog post, add a post to the site, write about the project for search/traction, or make an existing draft sound less like AI. Enforces the house voice (no em dashes), picks a non-cannibalizing angle, uses ASD-STE100 Simplified Technical English for technical prose, wires the post into your site, and runs the humanizer pass before shipping.
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。
Condense rebuttal prose into fewer words without changing the original meaning. Use when a response block, paragraph, or selected passage is too long but all technical content, citations, and commitments must stay intact. Supports academic English.
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。
Remove AI-generated writing patterns from rebuttal prose to make it sound natural, direct, and authentically human-authored. Use when a Stage 2 refined draft or Stage 4 follow-up response reads too formulaic, robotic, or "GPT-like". Supports academic English.
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。
Ultra-fast speech transcription using iFLYTEK Speed Transcription API. Transcribe audio files (WAV/PCM/MP3) up to 5 hours in ~20 seconds per hour. Supports Chinese, English, and 202+ Chinese dialects with automatic language detection. Use when user asks to transcribe audio files, convert speech to text, or mentions "speed transcription" or "极速转写".
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。
iFlytek Machine Translation (机器翻译) — translate text between Chinese, English, Japanese, Korean, French, Spanish, German, Russian, Arabic, Thai, Vietnamese, and many more languages. Use when the user wants to translate text. Pure Python stdlib, no pip dependencies.
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。
Local and self-hosted text-to-speech with Kokoro, the ~82M-parameter open-weight (Apache 2.0) model by hexgrad. Use when synthesizing speech offline, on-device, in the browser, or on your own server without per-character API cost — for high-volume narration, audiobooks, privacy-constrained pipelines, and prototyping. Covers running Kokoro via the Python `kokoro` package, ONNX / kokoro-js in the browser, and the OpenAI-compatible Kokoro-FastAPI wrapper; picking voices and language codes; blending voices; chunking long text; controlling pronunciation via misaki/espeak-ng; and judging when Kokoro is the right tool versus when its lack of voice cloning, narrow emotional range, and weaker non-English quality mean you should reach for a hosted or larger model instead. Not for voice cloning, expressive/emotional character performance, or high-fidelity multilingual work — say so and route elsewhere.
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。
Experiment executor and monitor for academic research. 2-agent system covering code experiments (ML training, statistical analysis, ETL, simulation) and human studies (surveys, field studies, interviews). 4 modes: run (execute + monitor code), manage (track human studies), validate (statistical interpretation + reproducibility verification), plan (Socratic experiment design). Use when a researcher wants to run or monitor a research experiment, manage or resume a human-subject study, check the statistics or reproducibility of research results, or design an experiment or study, in English or Chinese (e.g., 跑實驗、管理研究、驗證結果、規劃實驗).
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。