fetch▌

Use this pattern whenever a page needs to load data based on whatever identifier appears in the URL. Common scenarios include:

Environment defaults:

A better web fetch for text content. Your built-in web fetch summarizes or truncates pages. agent-fetch extracts the complete article — every paragraph, heading, and link — using 7 extraction strategies and browser impersonation. No server required, runs as a local CLI tool.

Use Gemini CLI via tmux. It can browse, summarize, and answer complex questions about Reddit content.

Fetch a page and return its content, headers, and metadata — no browser session required.

X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오는 스킬. FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용하여 JavaScript 없이 트윗 데이터를 추출한다.

Fetch X/Twitter tweets with summaries, insights, and full Korean translations via a three-stage pipeline. \n \n Extracts tweet text, author info, and engagement metrics (likes, retweets, views) using the FxEmbed API without JavaScript execution \n Supports multiple URL formats: x.com, twitter.com, fxtwitter.com, and fixupx.com \n Delivers insights in three stages: concise summary with author context, three-point analysis (core message, industry implications, personal relevance), then full natura

Fetch web content as clean markdown using markdown-native endpoints, selector-based HTML extraction, or bundled fallback parsing. \n \n Prioritizes markdown-native responses (content-type: text/markdown) before falling back to HTML extraction \n Includes pre-configured selectors for common documentation sites (Anthropic, MDN, GitHub) and a generic fallback for article/main content regions \n Provides html2markdown with CSS selector support for fine-grained content isolation, excluding navigation

Build three content-fetching and learning skills by creating fetch-tweet, fetch-youtube, and content-digest from scratch. \n \n Learn a two-phase workflow (EXPLAIN + EXECUTE in turn 1, QUIZ in turn 2) that enforces hands-on practice before assessment \n Create fetch-tweet to retrieve and translate X/Twitter content via API, then fetch-youtube to extract and correct YouTube captions using yt-dlp and web search \n Build content-digest with Quiz-First learning methodology, which improves retention

Fetch and analyze LangChain and LangGraph execution traces from LangSmith Studio for agent debugging. \n \n Retrieves recent traces and performs root-cause analysis on agent failures, tool calls, memory operations, and performance issues \n Supports multiple output formats (pretty, JSON, raw) and time-based filtering to isolate specific execution windows \n Includes four core workflows: quick debug of recent activity, deep-dive analysis of specific traces, session export with metadata, and error