「summarize」の検索結果

Summarize any block of text using the `summarize` CLI (chained-in from steipete/summarize — npm package `@steipete/summarize`). Use whenever the user pastes a long piece of content and asks for a TL;DR, a summary, a digest, a gist, a condensed version, or key points — even if they don't explicitly say "use summarize". Also chains into `mktg-transcribe --summarize` for audio/video TL;DRs and source-digestion workflows to condense long articles. Requires the `summarize` CLI to be installed (`mktg doctor` will tell you if it's missing). Do NOT trigger for structured data (JSON/CSV/code), for text already shorter than ~500 words, or when the user wants the full content preserved.

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。

記事のURL、YouTube動画、ポッドキャスト、PDFやローカルファイルから要点をまとめ、長さを指定した要約や動画の文字起こし抽出に使うスキル。

• URLの記事の要点を知りたいとき
• YouTube動画を要約したいとき
• YouTubeの文字起こしを抽出したいとき

Fetch and summarize Hacker News / hckrnews.com top stories, articles, and their comment threads. Use when asked to summarize HN front-page stories, a specific HN story plus its discussion, or "the top N from hckrnews".

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。

Fetch a URL and return a concise markdown summary of its content. Read-only: no files are written; the summary is returned as output only. Use when asked to "fetch and summarize", "summarize this URL", "what does this page say", or "get the content of <url>". Proactively suggest when the user pastes a URL and asks what it contains. (munder-difflin)

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。

Summarizes open pull requests into a blockers-first standup digest. Activates when the user asks to summarize open PRs, find blocked pull requests, generate a PR standup, or triage review backlog from a PR export.

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。

Summarize YouTube videos by extracting transcripts and generating structured notes. Use when the user wants to summarize a YouTube video, extract key points from a talk, create study notes from a lecture, or get timestamps for important moments. Supports multiple URL formats and languages.

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。

Process YouTube videos into summarized Obsidian notes. Use when given a YouTube URL to summarize, extract insights, or turn videos into notes. Triggers on "summarize this video", "process this YouTube", "what's this video about", or any YouTube URL shared for processing.

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 and summarize core features, constraints, and priorities from requirement documents. Use when analyzing PRDs, RFCs, business requirements, user stories, epics, or any requirement documentation to identify must-have features, technical constraints, priority levels (P0/P1/P2/MoSCoW), and key decision points. Triggers when users ask to summarize, analyze, extract, or understand requirements from 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。

Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube). Use when you need fast CLI-based summaries from local or remote sources.

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。

OpenClawのリリース候補に対するCIを実行・監視し、実際のプロバイダー接続やインストール・更新を検証して、失敗の原因と結果を整理するスキルです。

• OpenClawのリリース候補を検証したいとき
• 失敗したCIジョブの調査と再実行
• プロバイダーの認証と推論利用を確認

CodexBarのローカル費用ログから、CodexやClaudeの利用費用をモデル別に集計し、直近の代表モデルや全モデルの内訳をテキスト・JSONで確認するスキル。

• 直近の代表モデルの費用確認
• 全モデルの利用費用を比較したいとき
• 書き出した費用ログの集計

Google Drive から文書・表・スライドを探し、内容を確認して要約・編集・整理します。計画書や管理表の統合、重複や古い資料の見直しにも使えるスキル。

• 現行の計画書を探して要約したいとき
• 共有の顧客一覧を整理したいとき
• Google Slides への取り込みと整理

Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".

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。

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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 vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.

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。

Converts Excel (.xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .xlsx file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", "chart", or "analyze" a spreadsheet, workbook, budget, data export, or tracker. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .xlsx content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of Excel workbooks. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

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。

Converts Word (.docx) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .docx file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a Word document, resume, report, contract, or proposal. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .docx content directly or write ad-hoc conversion code. Also use this skill for batch requests involving a whole folder of Word documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

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。

Converts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of PDF documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.

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。

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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。

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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 internal company communications — 3P updates (Progress/Plans/Problems), company-wide newsletters, FAQ roundups, incident reports, leadership updates, status reports, project updates, and general internal comms. Use this skill any time the user asks to draft, edit, or format something meant for internal audiences. Trigger on keywords like "3P", "weekly update", "newsletter", "FAQ", "internal comms", "status report", "company update", "team update", "incident report", or any request to summarize work for leadership, teammates, or the broader company. Even casual requests like "write my update" or "summarize what my team did this week" should trigger this skill.

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。

Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items. Use when processing interview recordings or transcripts, synthesizing discovery interviews, or creating interview 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。

Summarize a meeting transcript into structured notes with date, participants, topic, key decisions, summary points, and action items. Use when processing meeting recordings, creating meeting notes, writing meeting minutes, or recapping discussions.

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。

Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.

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。