「arize」の検索結果

Fetch and summarize review comments from the active pull request

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。

Get the transcript, on-screen text, summary, and chapters of any video or audio with Scribiz. Use when the user wants to transcribe a YouTube, TikTok, Instagram, podcast, or local media file, generate SRT or VTT subtitles, summarize a video, ask questions about a video, or turn a video into a blog post, show notes, or social posts.

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 the currently staged Git changes as a human-readable, intent-grouped narrative. Use when the user wants a concise and brief report of what changed and why. Optionally can check the diff for intent coherence and show a risk and blast radius report.

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。

Distill a provided document into a flat, importance-ranked list of its key points, each with a salience rank, a rationale, and a verbatim line-cited evidence snippet. Use when the user wants to "distill", "summarize the key points", or "extract the essence" of a document or pasted 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。

Post a sitrep (situation report) for a live incident, in its incident channel: a short fixed-layout update for people who haven't read the whole channel — the current picture and what moved since the previous update. Use on "sitrep", "status update", "where are we", "what's the latest", "catch me up", "summarize the incident so far", when asked to keep posting on a schedule ("post a sitrep every hour until resolved"), or when the oncall memory sets an update cadence for this severity and the incident owner asks Claude to keep it. Reads the channel, alert thread and findings posted, re-reads the one key signal, and writes: status line, TL;DR, impact, what changed since the last sitrep, what's in progress and who has it, what's needed, when the next update comes, one chart. Facts come only from what people said or Claude read first-hand; cause and recovery time are never guessed. Fits one phone screen. Not investigation (`incident-investigate`) or the write-up afterwards (`incident-postmortem`).

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。

Monthly marketing audit and executive review. Pulls the last 30 days of source-backed marketing, analytics, SEO, CRO, content, paid media, lifecycle, reputation, and pipeline data; compares it to the previous period; summarizes strategic learning; and produces an executive report plus next-month plan. Use when "monthly audit", "monthly marketing review", "monthly report", "executive marketing review", "board-ready marketing report", "month-end audit", or any request for a 30-day marketing audit.

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 self-contained HTML changelog report showing recent documentation changes with interactive course generation buttons. Use this skill when the user asks for a docs changelog, documentation report, what changed recently, recent doc updates as a report, or runs `/docs --report`. Discovers changes via git history, categorizes them, summarizes what's new, and produces a stunning Obsidian & Amber themed HTML report where each entry has a "Create Course" button that copies the course command to clipboard.

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。

Reading assistant for saving, organizing, and recalling web content. Use when the user says "save this article", "read this link", "summarize this", "check my feeds", "add to my library", or asks about previously saved content. Handles articles, tweets, YouTube videos, GitHub repos, PDFs, and RSS feeds. Articles are stored with their metadata and indexed for fast search.

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 one explicitly authorized Brazilian Portuguese or Spanish audio or video file through the metered BRAINIALL API, then creates speaker-labelled JSON, SRT, and WebVTT with word timestamps and no automatic retry.

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。

The Atlassian Rovo MCP Server bridges your Atlassian Cloud workspace with any MCP-compatible client. Search and summarize Jira issues, create tickets from natural language, update Confluence pages, and query Compass services.

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。

Streams audio from Twilio Media Streams over WebSocket to AssemblyAI real-time transcription, extracting speaker-diarized transcripts with word-level timestamps. Triggers entity detection and sentiment analysis via AssemblyAI LeMUR on completed call segments. Results are pushed to HubSpot or Salesforce contact records via their REST APIs.

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 AI-authored code reading guides from a project or module. Invoke when user asks to read code, summarize architecture, and write a guide document.

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。

Decompose dense codebase-wide, multi-document, PDF, and aggregation work even when the input fits the context window, following Recursive Language Models (Zhang, Kraska, Khattab, 2025). Use when the user asks to analyse all files, a whole repo, all docs, large PDFs, or to aggregate or multi-hop across scattered sources. Skip one file, one function, a single needle, or a one-page PDF conversion. Triggers: long context, context rot, large codebase, many files, all files, big document, multi-document, PDF, aggregate, summarize everything, codebase-wide, multi-hop, recursive, sub-agents, map-reduce.

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 and verify a signed, notarized, auto-updating Clockwork release.

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 markdown report documenting codebase changes from the current session -- files added, modified, deleted, and a summary of what was done. Use when asked to "document changes", "generate change report", "save changes report", "what did I change", "session report", "summarize my changes", or "write a changes report".

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 markdown report documenting codebase changes from the current session — files added, modified, deleted, and a summary of what was done. Use when asked to "document changes", "generate change report", "save changes report", "what did I change", "session report", "summarize my changes", or "write a changes report".

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。

Use when EZ_math_model needs to read or convert PDF problem statements, extract text or tables from PDF attachments, summarize reference papers, or fall back when MinerU is unavailable.

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 EZ_math_model needs to read, preview, clean, write, or summarize CSV, XLS, or XLSX attachments and result tables for modeling tasks.

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 a YouTube video and create a vault note from its transcript. Use this skill whenever a YouTube URL is pasted — even with casual commentary like "check this out" or "interesting talk." Also triggers on "youtube", "take notes from this video", "summarize this video", or any YouTube link (youtube.com, youtu.be) regardless of surrounding context.

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。

Operator-side analysis of historical ML experiment PRs in Senpai research tracks. Use this skill whenever the user asks to: analyze experiments, categorize PRs, bucket experiments, summarize what's been tried, understand experiment history, review merged vs closed results, or asks "what experiments have we run / worked / failed". Also triggers for: "pull the latest experiments", "what's been tried so far", "category breakdown of PRs", "which experiments succeeded", "noam track analysis". When a branch name is mentioned (e.g. "noam branch", "on the noam branch"), pass it as the base branch to scope the fetch to just those PRs.

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 user asks to discover, group, and summarize work records across multiple systems for a given period or project. Not for organizing projects into child documents or local-only 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。

Use when asked to summarize authored work over the last week or a named date range, commit range, or branch. Not for source or remote-system changes.

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 addressing review feedback in analyze or reception mode, or handling GitHub PR feedback in autonomous, interactive, or summary mode for a named PR target. Classifies, applies, replies, or summarizes comments.

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。