web-research 是做什麼的？
使用委派子代理搜尋多個網路來源，綜合分析結果，並產生附有引用的研究報告。當使用者要求線上研究某個主題、搜尋網路、查詢某項資訊、尋找最新資料、比較選項或產出研究報告時，請使用此技能。
搜尋多個網路來源，綜合分析結果，並使用委派子代理生成附有引用的研究報告。
此技能專為需要在線上進行深度研究的使用者設計，可同時搜尋多個網路來源，自動化資訊檢索與分析流程。它透過委派的子代理（subagents）來協同工作，確保能從不同角度收集資訊，然後將這些分散的發現整合成一份結構清晰、附有引用來源的完整研究報告。支援的平台包括 Claude Code、Cursor、Codex 等主流 AI 代理工具。其核心優勢在於節省人工逐一搜尋與整理的時間，並提供可信賴的來源追溯，特別適用於比較不同選項、查詢最新資訊或產出正式研究報告等場景。使用者只需以自然語言提出研究需求，即可獲得經過驗證與組織的輸出。
npx skills add https://github.com/langchain-ai/deepagents/tree/main/skills/web-researchInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用委派子代理搜尋多個網路來源，綜合分析結果，並產生附有引用的研究報告。當使用者要求線上研究某個主題、搜尋網路、查詢某項資訊、尋找最新資料、比較選項或產出研究報告時，請使用此技能。
This repo contains 4 individual skills — each has its own dedicated page.
Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.
Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.