475 件 ・ 関連度順
概要と使いどころ
Summarize files or a requested directory scope from actual contents. Extract code, config, data and document evidence, preserve exact counts and source locations, and disclose incomplete or unsupported acquisition. Use for file summaries, code explanations and configuration overviews.
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。
Describe images, screenshots, diagrams and charts from visual inspection. Preserve visible text, counts, labels, directions and uncertainty; distinguish observation from interpretation. Use for image summaries, screenshot explanations and diagram descriptions.
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 primary outcome is creating publishable source-attributed content from URLs or supplied material, including research summaries, articles, briefs, and posts whose factual claims and quotations need reader-visible, verifiable citations.
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 extracting specific data points from large agent output transcripts, kaizen analysis reports, or JSONL session files — tool timings, query counts, error summaries, or any structured facts — without loading raw data into orchestrator context. Activates when the orchestrator needs targeted facts from large files and context pollution must be avoided.
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。
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
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 a topic-focused briefing in HTML from public news sources. Use when user asks for a briefing / observation / digest / 简报 / 观察 on any subject — region (Middle East, ASEAN, India), industry (semiconductors, EV supply chain, AI), policy issue (AI regulation, critical minerals, cross-border payments), institution (Fed, ECB, IMF), or theme. Output is a single self-contained HTML file with blue-color "TOPIC BRIEF" branding, optimized for both browser viewing and direct copy-paste into 微信公众号 / WeChat Official Account editor. Walks through 5 steps with one user confirmation midway. Do NOT use this skill for short summaries (<1000 字), single-piece news commentary, or already-defined report templates.
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。
Personal research-paper radar. Fetches the latest papers and code repos for the user's keyword subscriptions across arXiv, Crossref (IEEE/ACM), Semantic Scholar, GitHub, HuggingFace, Papers with Code and RSS; deduplicates against history; then YOU (the assistant) expand the queries, filter for computer-science relevance, write Chinese summaries, detect hot sub-fields, and emit a Markdown + HTML digest (optionally emailed). Use when the user asks to "run my paper radar / 文献雷达", "check for new papers", "what's new in my topics", "今天有什么新论文 / 最新文献", "today's research digest", or to configure their keyword subscriptions / sources / schedule.
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。
Transform implementation plans into concise stakeholder-friendly summaries with file change overviews, component listings, and optional flow diagrams.
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。
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
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 高教社杯/CUMCM/电工杯 mathematical modeling abstracts, keywords, highlights, first-page claims, or high-density summaries need drafting, revision, audit, or style diagnosis, especially when feedback mentions too many numbers, weak focus, process-listing, empty official prose, buzzwords, missing structure, weak keywords, unsupported values, or first-page claim verification.
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。
Discord archive: search, sync freshness, DMs, summaries, TUI, repo/release 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。
Reverse-engineer a supplied video into a shot-by-shot generation specification, displayed evidence frames, and paired Chinese-English prompt packages. Use for requests such as 视频反推提示词, 视频转提示词, 从视频生成提示词, 视频逆向提示词, 逐镜头反推, 分镜拆解并生成提示词, 反推视频 prompt, or video-to-prompt; also use for Veo, Sora, Kling, Wan, generic prompt adaptation, and bounded generate-compare-optimize loops. Do not use for ordinary video summaries or basic transcription.
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。
Transcribes audio and generates auto-chapters with summaries using AssemblyAI's /v2/transcript endpoint with auto_chapters=true. Extracts key topics, sentiment analysis, and content safety labels via AssemblyAI SDK.
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。
Expert sales proposal and pricing presentation strategist. Use when writing proposals, executive summaries, ROI business cases, pricing presentations, SOWs (Statement of Work), RFP responses, or competitive positioning documents. Covers proposal structure, terms positioning, design formatting, follow-up strategy, and win-rate optimization.
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。
Comprehensive suite for processing YouTube videos. Use this when the user needs to: (1) Extract transcripts, (2) Generate visual infographics, (3) Create audio summaries (TTS) and videos, or (4) Perform full 'kitchen sink' processing of YouTube 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。
Documentation management workflow for MkDocs sites and standalone markdown files — initialize, generate, update docs, and create change summaries.
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。
Documentation management workflow for MkDocs sites and standalone markdown files -- initialize, generate, update docs, and create change summaries. Use when asked to "create docs", "write README", "update documentation", "generate docs site", "write CONTRIBUTING", "manage documentation", or "docs changelog".
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。
Generates MkDocs-flavored or standard GitHub-flavored Markdown documentation from codebase analysis findings including API references, architecture guides, standalone markdown files, and change summaries (converted from 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。
Documentation management workflow for MkDocs sites and standalone markdown files — initialize, generate, update docs, and create change summaries. Use when asked to "create docs", "write README", "update documentation", "generate docs site", "write CONTRIBUTING", "manage documentation", or "docs changelog".
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。
Structures co-investment reporting with deal-level performance, fee/carry calculations, and co-invest program aggregate analysis. Use when reporting co-invest performance, tracking deal-level returns, or preparing co-invest summaries.
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。
Structured workflow for summarizing code changes after completing tasks. Creates clear, actionable summaries of what was changed, why, and what to verify.
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。
Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use when transitioning on-call responsibilities, documenting shift summaries, or improving on-call processes.
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。
Scheduled Exa web search monitor. Uses CronCreate to search configured topics every 4 hours via mcp__Exa__web_search_exa, deduplicates URLs via MemoryRecord, and stores summaries for morning briefing 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。
Scheduled ArXiv paper monitor. Uses CronCreate to search configured keywords every 6 hours, deduplicates via MemoryRecord, and stores summaries in named memory for morning briefing 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。