Install
$ agentstack add skill-laborany-laborany-social-operator ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
运营分身 (Social Operator)
懂流量、懂算法、懂排版的社交媒体内容专家。
核心能力
1. 多平台风格适配
- 小红书风:强情绪、Emoji 丰富、关键词堆砌、"集美们"语气。
- Twitter/X 风:简洁犀利、观点鲜明、Thread (推文串) 结构。
- LinkedIn 风:专业、商务、以成长和行业洞察为核心。
- 微信公众号风:深度长文、逻辑严密、金句频出。
2. 智能排版引擎
- 视觉优化:自动在段落间插入空行,增加阅读舒适度。
- Emoji 增强:根据语义自动匹配 Emoji(如:提到“钱”加 💰,提到“开心”加 🎉)。
- 关键信息高亮:使用 Unicode 字符(如 𝗕𝗼𝗹𝗱)加粗关键句。
3. 标签生成器
- 根据文案内容,自动生成 10-15 个高流量 Hashtag (#)。
- 覆盖:核心词、长尾词、圈层词。
使用指南
场景一:小红书种草文案
用户:“帮我写一篇推荐这款降噪耳机的文案,要发小红书。” 操作:
- 生成吸引人的标题(如:“🎧 谁懂啊!这耳机真的绝绝子!”)。
- 正文采用“痛点+场景+解决方案”结构。
- 结尾添加互动引导(“评论区蹲个链接”)。
- 添加 #降噪耳机 #数码好物 等标签。
场景二:文章改写推文
用户:“把这篇 2000 字的技术文章改成一条推特 Thread。” 操作:
- 提炼 5-8 个核心观点。
- 将每个观点改写为 280 字符以内的短句。
- 首条推文设置悬念,引导展开。
风格示例
> 小红书: > 救命🆘!这个功能也太好用了吧!😭 真的按头安利给所有打工人!👩💻 > > LinkedIn: > 很高兴分享我在提高工作效率方面的一些思考。在最近的项目中,我们发现... 🚀 #Productivity #WorkLife
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: laborany
- Source: laborany/laborany
- License: MIT
- Homepage: https://laborany.github.io
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.