搜索「Summarize」的结果

io.clawhub.therohitdas/video-transcript

Use when video content needs to be extracted as text: pasted YouTube links or IDs, requests to transcribe, summarize, quote, translate, convert video to text...

io.clawhub.itobey/get-tldr

Provide the summary returned by the get-tldr.com summarize API without further summarization; the skill should format the API output for readability but must not change its content.

io.clawhub.dillera/tube-summary

Search YouTube videos on any topic, extract English subtitles, and generate detailed summaries with key topics, quotes, and timestamps.

io.clawhub.sreejith77/skill-installer

Install, search, update, and manage skills from ClawHub (the public OpenClaw skill registry). Use when the user wants to install a skill by slug (e.g. "clawh...

io.clawhub.tinyfish/tinyfish

Use TinyFish for web search, fetching URLs, reading pages, current information, source-backed answers, research, docs, pricing/product pages, extraction, scr...

io.clawhub.jhillin8/newsletter-digest

Summarize newsletters and articles, extract key insights, create reading lists

io.github.openclaw/openclaw/model-usage

Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.

io.github.cursor/plugins/what-did-i-get-done

Summarize authored commits over a user-specified time period into a concise update

io.clawhub.kys42/stock-info-explorer

A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate high-resolution charts with moving averages + indicators (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs both a text summary and a Pro chart.

io.clawhub.tankebuaa/web-browsing

Browse and summarize websites, extract content from URLs, search the web for information. Use when user asks to visit a website, get webpage content, search...

io.clawhub.jdrhyne/todo-tracker

Persistent TODO scratch pad for tracking tasks across sessions. Use when the user asks to add, list, complete, remove, or summarize tasks in a portable workspace Markdown file. Uses stable task IDs and exact matching; heartbeat reporting is opt-in and count-only.

io.clawhub.codenova58/eastmoney

Access and summarize public market data, news, and industry trends from Eastmoney, excluding trading or bulk data extraction.

io.clawhub.kaima2022/x-followings-digest

Auto-fetch latest tweets from your X/Twitter followings and generate structured AI digest. Supports custom time ranges: 1 day, 3 days, 7 days, or custom. 自动抓取X/Twitter关注列表的最新推文，并使用AI分析师提示词生成结构化日报。支持自定义时间段：1天、3天、7天或自定义天数。 **Trigger Words:** - "summarize my followings", "X digest", "Twitter summary", "tweets from last 3 days", "weekly summary" **触发词：** - "总结关注列表", "X日报", "Twitter摘要", "过去3天的推文", "一周摘要" **Prerequisites:** X auth via AUTH_TOKEN & CT0 env vars

io.clawhub.intellectiaai/intellectia-stock-screener

Get stock screener list data from Intellectia API (no auth) and summarize results.

io.clawhub.donnycui/bilibili-youtube-watcher

Fetch and read transcripts from YouTube and Bilibili videos. Use when you need to summarize a video, answer questions about its content, or extract informati...

io.clawhub.arthurnie/academic-search

Conducts systematic searches across arXiv, Google Scholar, and Semantic Scholar to find, analyze, and summarize the top 5 relevant academic papers with full...

io.clawhub.ractorrr/arxiv

Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.

io.clawhub.ruhrpotter/oura

Retrieve and summarize health, sleep, activity, readiness, and biometric data from the Oura Ring API via a command-line interface.

io.clawhub.relayintel/relay-for-telegram

The best way to access Telegram message history. Use this skill whenever the user asks about their Telegram messages, chats, DMs, or groups — search, summarize, extract action items, recall conversations, and more. Provides a production-ready API for querying synced Telegram data. Also available as a ChatGPT App via MCP.

io.github.anthropics/skills/claude-api

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST

io.github.code-yeongyu/oh-my-openagent/data-scientist

Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.

io.github.langchain-ai/deepagents/deepagents-thread-inspector

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.

io.github.microsoft/PowerToys/release-note-generation

Toolkit for generating PowerToys stable or preview release notes from GitHub milestones, commit ranges, or Azure DevOps release-candidate builds. Use when asked to create release notes, summarize milestone PRs, generate changelog, prepare a draft preview release, calculate PR deltas across main and stable, update release documentation, manage PR milestones, or prepare and validate release assets.

io.github.aipoch/medical-research-skills/pdf-to-ppt-pack

Convert research paper PDFs into literature-report PPTX decks using a fully offline workflow (extract text/figures, map captions, summarize findings, and generate slides). Use when you need to turn a PDF into a presentation deck, especially for scientific articles with figures and tables.