938건 · 관련도순
Extract structured intelligence from audio using the AssemblyAI API with sentiment analysis, entity detection, topic modeling, and auto-chapter generation. Uses the assemblyai Python SDK for transcript processing pipelines.
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Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
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Process YouTube videos, playlists and channels with the youtube-to-docs MCP server. Use this when the user wants to: (1) get a transcript, (2) summarize a video or generate Q&A, speakers and tags, (3) make an infographic, (4) make an audio or video summary, (5) translate the outputs, (6) make the video accessible (WCAG 2.1 / Section 508 corrected captions, audio description), or (7) do a full 'kitchen sink' run.
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Render a dashboard of the current Claude Code session — message counts, token usage, cache read/write, dollar cost, context %, lines changed, cost-per-turn sparkline, and a tool-call histogram — parsed from the session transcript JSONL by a bundled bash script. One bash call, zero analysis, zero confirmation. Optionally pass a session id to inspect a different session. Use when the user asks for session stats, usage, token or cost breakdown, or a session dashboard.
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Capture outbound HTTP and telemetry from a CLI harness at runtime. Covers capture-channel selection (transcript file vs verbose-fetch stderr vs outbound proxy vs on-disk state), hook-driven per-event capture vs long-running session capture, JSONL output format for diff-friendly artifacts, and the observability table that maps each target to the cheapest channel that captures it. Use when a static finding needs runtime confirmation, when a payload shape is needed for a client re-implementation, or when dark-vs-live disambiguation requires watching what the binary actually sends.
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Process an online course into detailed vault notes — one per lecture, with slides and transcripts synthesized. Use this skill whenever the user shares a course URL, syllabus page, or lecture playlist and wants structured notes from it. Also triggers on "process this course", "take notes on these lectures", "course notes", any university course page, or when someone pastes a link to a course with multiple lectures/sessions. Even if the user just says "check out this course" or drops a .edu link with a schedule — use this skill.
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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.
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Use when an agent runtime must choose or verify a /brain-* command route from a user request, handoff, adapter transcript, or stale command catalog.
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This skill should be used to search, inspect, list, and recover local Codex sessions through Codex's native App Server APIs. Trigger for requests such as find a prior Codex conversation, search Codex transcript text, list recent Codex work, locate matches inside a session, or produce a safe Codex resume command. Do not use for Claude Code sessions, project source-code search, or web search.
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Plan and record evidence-backed LLM and AI-search citation checks across approved assistant/search surfaces with timestamped queries, locales, modes, cited URLs, snippets, screenshots or transcripts, and caveats. Use this skill when the user asks whether ChatGPT, Perplexity, Claude, Gemini, Copilot, or another assistant cites a target site, but do not claim citation without direct evidence.
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Use when the user asks to beam, publish, or share the current local coding session to an authenticated remote receiver. Not for viewing a transcript locally: use session-viewer.
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Use when the user asks to view, export, or inspect a session transcript in a browser. Not for sharing a session: use session-share.
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Search and browse Cline session history. Use when the user asks to find, list, inspect, or export Cline sessions by time period, prompt content, status, model, provider, source, mode, workspace, or other criteria. Also use when the user wants to read a session transcript or export sessions to a directory. Trigger phrases include "find my session", "search my session history", "show me past sessions", "what was that session where", "find the session that started with", and any mention of past Cline conversations.
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Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.
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Fetch the transcript of a YouTube video as text or JSON.
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Build AI audio transcription systems. TRIGGERS - Use when user needs help with ai-audio-transcriber related tasks.
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Ingest one new source into an existing persistent markdown wiki or established vault workflow. Use this when the user asks to add an article, PDF, note, URL, transcript, or other source into their wiki and wants the source filed, linked, indexed, and logged. If the wiki workflow does not exist yet, use $wiki-bootstrap first. This skill is for the ingest operation only.
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Transcribe audio files locally with Interpreter's builtin-transcribe tool server. Use when a user asks to transcribe speech from recordings without cloud transcription or API keys.
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Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
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Debug and troubleshoot ElevenLabs conversational AI agents and Twilio calls. Use when diagnosing agent issues, analyzing failed calls, troubleshooting audio problems, investigating conversation breakdowns, reviewing error logs, or optimizing underperforming agents. Includes transcript analysis, error diagnosis, and performance troubleshooting.
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Turn long footage (podcast, interview, stream, recording) into ready-to-post vertical shorts. Use when the user points at a long video and wants short clips — "cut this into shorts", "make clips from this recording", "turn this podcast into verticals". Needs the NanoClip CLI (analysis) and HyperFrames (rendering). NOT for editing an existing short, generating footage, or plain transcription.
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Use for local Granola archive search, sync freshness, notes/transcripts/panels, Markdown export, snapshots, Keychain-safe source debugging, and Graincrawl repo/release work.
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"Summarize and analyze earnings calls (法說會) including financial highlights, management commentary, guidance, and analyst Q&A key takeaways. Use this skill when the user needs to digest an earnings call transcript, extract key financial data and forward guidance, compare actual results vs consensus estimates, or prepare for an investor meeting — even if they say 'summarize this earnings call', 'what did management say about next quarter', 'did they beat estimates', or 'key takeaways from the 法說會'.".
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Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".
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