deepagents 是做什么的？
草拟引人入胜的社交媒体帖子、撰写钩子、建议标签、创建线程结构，并生成配套图片。当用户要求撰写 LinkedIn 帖子、推文、Twitter/X 线程、社交媒体标题、社交帖子或为社交平台重新利用内容时使用。
草拟引人入胜的社交媒体帖子、撰写钩子、建议标签、创建线程结构，并生成配套图片。当用户要求撰写 LinkedIn 帖子、推文、Twitter/X 线程、社交媒体标题、社交帖子或为社交平台重新利用内容时使用。
这是一个专注于社交媒体内容创作的 AI 技能，由 langchain-ai 开发，名为 deepagents。它能够帮助用户高效地起草和生成各种社交平台上的内容，包括 LinkedIn 帖子、推文、Twitter/X 线程等。该技能的核心功能包括：撰写吸引眼球的钩子（hooks）、自动生成相关话题标签（hashtags）、设计线程结构（thread structures），以及创建配套的图片。对于需要频繁在社交平台发布内容、提升互动率的营销人员、内容创作者或开发者来说，该技能可以显著节省时间并提高内容质量。该技能适用于基于 AI Agent 的工具（如 Claude Code、Cursor 等）。使用时，用户只需提出发布社交内容的需求（例如“写一篇 LinkedIn 帖子”），deepagents 便会基于上下文生成完整的方案。它通过分析用户意图和内容类型，调用内置的模板和生成策略，输出结构化的草稿，从而帮助用户快速完成内容的规划与创作。
npx skills add langchain-ai/deepagents草拟引人入胜的社交媒体帖子、撰写钩子、建议标签、创建线程结构，并生成配套图片。当用户要求撰写 LinkedIn 帖子、推文、Twitter/X 线程、社交媒体标题、社交帖子或为社交平台重新利用内容时使用。
This repo contains 5 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.
Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.