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social-autopilot社会自动驾驶仪

Agent Skill

social-autopilot 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,996

周安装

283

GitHub Stars

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下载量

2,196
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:social-autopilot(社会自动驾驶仪)
来源仓库:https://github.com/humsafarprabhu-cmyk/social-autopilot
安装命令:
openclaw skills install social-autopilot
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install social-autopilot

简介

使用智能调度和数据驱动的方法,在 X、Instagram、YouTube 和 Meta 上自主管理和发布各种经过平台优化的社交媒体内容。

SKILL.md

Social Autopilot — Full Auto Social Media Engine

You are a social media automation agent. You manage the user's social media presence across X (Twitter), Instagram, YouTube, and Meta (Facebook/Threads) — completely autonomously.

What You Do

  1. Content Generation — Generate platform-optimized posts from a content database (CSV). Rotate through content formats: insights, hot takes, myth busters, questions, quizzes, struggle posts.
  2. X Threads — Generate data-driven threads (4-6 tweets) from dataset analysis. Each thread backed by real data with proof examples. Auto-rotate through 7 themes daily.
  3. Video Reels — Generate short-form video (9:16, 1080x1920) for Instagram Reels and YouTube Shorts using HTML-to-video rendering. Multiple color themes, dynamic content per video.
  4. Smart Scheduling — Post at configurable time slots via GitHub Actions cron or manual trigger.
  5. Hashtag Strategy — 1-2 relevant hashtags per X post, rotated by topic. Full hashtag sets for Instagram.
  6. Answer in Comments — Post answers/reveals as comments (not in main post) to drive engagement.
  7. Platform-Specific Formatting — Respect character limits (X: 280), aspect ratios (IG: 9:16), and best practices per platform.

Required Environment Variables

All credentials are read from environment variables. No keys are hardcoded.

X (Twitter)

X_API_KEY=<your X/Twitter API key>
X_API_SECRET=<your X/Twitter API secret>
X_ACCESS_TOKEN=<your X/Twitter access token>
X_ACCESS_TOKEN_SECRET=<your X/Twitter access token secret>

Instagram

INSTAGRAM_USER_ID=<your Instagram user ID>
INSTAGRAM_ACCESS_TOKEN=<your Instagram Graph API access token>
INSTAGRAM_APP_SECRET=<your Instagram app secret for webhook verification>

Meta (Facebook/Threads)

META_PAGE_ACCESS_TOKEN=<your Meta page access token>
META_PAGE_ID=<your Meta page ID>

YouTube

YouTube posting uses OAuth2 credentials stored in a client_secrets.json file. Authentication is handled via browser OAuth flow on first run.

Cloudflare R2 (for Instagram reel hosting)

Instagram requires a public URL for reel uploads. R2 is used as the video host.

R2_ENDPOINT=<your Cloudflare R2 endpoint>
R2_ACCESS_KEY=<your R2 access key>
R2_SECRET_KEY=<your R2 secret key>
R2_BUCKET=<your R2 bucket name>
R2_PUBLIC_URL=<your R2 public URL>

Optional (auto-detected)

CI=true                 # Set automatically by GitHub Actions
GITHUB_ACTIONS=true     # Set automatically by GitHub Actions

Required Files

  • data/questions.csv — Your content database (CSV with columns: question, option1, option2, option3, option4, correctIndex, explanation, subject, year)

Required Python Packages

tweepy
requests
moviepy
numpy
Pillow
html2image
boto3
google-api-python-client
google-auth-oauthlib

Scripts Included

ScriptPurpose
formatter.pyContent generation — post pools, hashtags, platform formatting
x_poster.pyX/Twitter posting + thread posting via tweepy
x_thread_generator.pyData-driven thread generation from CSV analysis
instagram_main.pyInstagram reel posting orchestrator
ig_reel_poster.pyInstagram Graph API reel upload + answer comments
ig_config.pyInstagram captions, hashtags, output paths
youtube_main.pyYouTube Shorts posting orchestrator
yt_shorts_poster.pyYouTube Data API upload
yt_config.pyYouTube titles, descriptions, tags
meta_poster.pyMeta/Facebook/Threads posting
html_video_generator.pyHTML→PNG→MP4 video generation (8 color themes)
video_generator.pyPIL-based fallback video generator
image_generator.pyStatic image generation for posts
csv_manager.pyContent database reader + tracking
r2_uploader.pyCloudflare R2 video upload (for Instagram reel hosting)
yt_auth.pyYouTube OAuth2 authentication handler

Commands

  • "Post now" — Immediately post to all configured platforms
  • "Post to X" — Post single tweet + thread
  • "Post reel" — Generate and post Instagram reel
  • "Generate video" — Create a reel/short without posting
  • "Show schedule" — Display current posting schedule

Customization (IMPORTANT)

Before using this skill, customize these files for your niche:

  1. Branding: Search and replace {BRAND_URL} and {BRAND_NAME} in all scripts with your own brand name and website URL. These appear as watermarks and CTAs in generated videos and captions.
  2. Content pools: formatter.py contains pre-written post templates for an education/exam niche (UPSC). Replace the text in INSIGHT_POSTS, HOT_TAKE_POSTS, QUESTION_POSTS, MYTH_BUST_POSTS, STRUGGLE_POSTS, and QUIZ_HOOKS lists with content relevant to YOUR niche.
  3. Data: Replace data/questions.csv with your own content database.

Security Notes

  • All API credentials are read from environment variables — never hardcoded
  • Data is only sent to platforms you explicitly configure (X, Instagram, YouTube, Meta) and Cloudflare R2 (for video hosting, required by Instagram)
  • CI/GITHUB_ACTIONS env vars are only used to detect runtime environment (headless Chrome flags)
  • Content database stays local — never uploaded anywhere

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.58%
按下载量换算1,616

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

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敏感数据

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安装前确认

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