「transcripts」の検索結果

Turn raw customer material into evidence-backed personas and verbatim voice-of-customer language. Two modes - analyse sources the user already has (call transcripts, support tickets, survey responses, sales notes, reviews), or source new material from public places customers actually talk. Produces quoted pains, objections, and switch triggers that other skills consume, never invented ones. Use when the user says "customer research", "voice of customer", "what do our customers actually say", "we need real quotes", "analyse these call transcripts", "read our support tickets", "build a persona from data", "find what customers complain about", or when a persona is marked provisional. For structuring the finished persona into the knowledge base, see brand-context. For the JTBD persona template itself, see customer-persona.

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。

Organize user-scoped CLEC episodes into traceable Traditional Chinese Obsidian pages. Use when Codex must group X, pCloud, Google Drive, Bilibili, Odysee, and RSS or Podcast sources by five-digit episode number; obtain and review transcripts through media-transcript; clean readable transcripts with the confirmed CLEC lexicon; anonymize students; or build the standard three-layer episode page.

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 the `rimo` CLI to interact with the Rimo platform — list/read/search meeting notes, transcripts, and documents, ask AI questions across them, and create notes or append markdown sections to them. Trigger when the user mentions Rimo, asks about meeting notes/minutes/transcripts/documents stored in Rimo, or invokes `rimo` directly.

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 transcripts, conversations, or raw notes into shareable content — either multiple social posts OR a single long-form article. Learns style from user's published content. Handles transcripts of any length (tested up to 5500+ lines / 90+ min). Use when user: (1) provides transcript/conversation/recording and wants social content, (2) asks to "turn recording/notes into posts", (3) mentions generating content from recordings/notes, (4) needs multiple publishable pieces from single source, (5) asks to write an article from a transcript — e.g. "write an article/long-form", "organize into an article", "write up this session", "turn this talk into a blog post", "deep dive". Social mode outputs 2-15 ready-to-publish pieces. Article mode outputs a structured long-form piece (3000-10000+ chars) written section-by-section.

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。

Analyze meeting transcripts, recordings, and notes to extract action items, key decisions, topics, sentiment, and generate summaries using NLP and AI. Use when processing meeting transcripts, extracting action items, summarizing discussions, identifying key decisions, tracking topics and themes, analyzing sentiment, generating meeting notes, or building collaboration and productivity tools.

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 meeting transcripts or rough notes into crisp summaries with decisions, risks, and owner-tagged action items; use for Zoom/Meet/Teams transcripts, call notes, or long meeting chats to generate share-ready outputs.

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のモデル通信やツール実行の不具合を、ログと再現操作で切り分けるスキル。保存済みの会話や添付資料も調べ、原因の修正と再検証につなげます。

• ローカルと実サービスの動作差を調べたいとき
• モデルに見えるツールの確認
• 応答ストリーミングの遅延・停止調査

OpenClawのQAシナリオを模擬環境や実サービスで実行し、失敗原因の修正、結果レポートの確認、複数モデルの応答スタイル比較まで支援するスキル。

• 模擬環境や実サービスでQAを実行
• 失敗シナリオの原因調査と再検証
• 複数モデルのキャラクター比較

AIエージェントの作業ログから、GitHubのPRやissueに添える記録を作ります。関連部分を絞り、機密情報を除いてプレビューと掲載を扱います。

• PRに添えるエージェント作業記録の作成
• ローカルログから関連する依頼と結果を抽出
• 機密情報を除いた記録のプレビュー

メモや文字起こしなどの素材を、読者が理解しやすい順序の記事に組み立てます。導入案や段落の役割を対話で確かめ、合意した文章を別ファイルに保存するスキル。

• 散らばったメモを記事にしたいとき
• 文字起こしから記事を組み立てる
• 執筆前に導入の切り口を比べる

記事やガイド、ニュースレターを、提供された文例やブランドの文体に合わせて執筆します。メモや調査資料の文章化から、既存原稿の構成・根拠の見直しまで扱います。

• メモや文字起こしを記事にしたいとき
• ブランドの文体でガイドを書きたいとき
• 既存原稿の構成と根拠を見直したいとき

記事やメモ、動画などをもとに、書き手の語り口を保ちながら、XやLinkedInの投稿、動画台本、ニュースレターを媒体に合う形で作るスキル。

• 一つの記事を複数媒体に展開したいとき
• 製品公開に向けた投稿の準備
• 短編動画やYouTubeの台本作成

覚えたい事実を質問と答えのカードにし、回答に応じた間隔で復習できます。YouTube動画からのクイズ作成や、分野別の整理、CSVの入出力にも対応します。

• 覚えたい事実をカードにしたいとき
• 復習日が来たカードで学習したいとき
• YouTube動画で理解を確かめたいとき

Hybrid local search over notes, docs, and transcripts.

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。

会議メモや文字起こしから、根拠付きの決定事項と担当・期限を整理します。既存タスクとの重複を確認し、議事録、チケット、フォローアップ文面の下書きを作成します。

• 会議メモから作業を抽出したいとき
• 決定事項と担当・期限の確認
• 会議の約束と既存タスクの照合

YouTube transcripts to summaries, threads, blogs.

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。

Believable agent cost report for any period, default the last 7 full days PT, not counting today. Measured tokens from Claude Code transcripts priced at OpenRouter list prices (ESTIMATED), measured provider spend when a sanctioned source exists, note-taker cost separate, Timing-style HTML/PDF plus report.json, line-items.csv, evidence.json.

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。

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

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。

Finds, reads, and reconstructs coding-agent sessions across Codex, Claude, OpenCode, OMO/Senpi, and other local agent logs. Use when asked to find or search past sessions, transcripts, or subagent runs, or to recover what an earlier session did.

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。

Bring what Claude Code or Codex already remembers or has configured for this user into Muse Code — their memory notes and their MCP servers — whenever the user mentions things Claude Code or Codex remembers or knows about them, an MCP tool or server they had there that is missing here, or asks to migrate, import, or copy that setup; call read_skill for bundled:migrate before reading any foreign file. Rules and skills are already covered by /rules import and `muse skills import --from claude|codex`; point there. Do NOT use for session transcripts (resume-claude or resume-codex for Claude Code/Codex continuation, including recovery of unfinished work with or without a handle; import for explicit /import requests or continuation from other agents or unnamed artifacts), for Muse settings unrelated to migration (manage-settings), or when Claude Code or Codex is only mentioned in passing.

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 Zoom meetings, calls, recordings, and transcripts. Use to catch up on missed calls, summarize decisions, and extract action items and owners; also work with Team Chat, Canvas, Tasks, Whiteboard, Hub, and Revenue Accelerator through Zoom's official MCP servers.

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 and read Granola meeting notes and transcripts through Granola's OAuth-backed MCP server.

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 your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.

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。

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.

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。