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tweet-composer推文作曲家

Agent Skill

tweet-composer 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

27,026

周安装

1,104

GitHub Stars

公开资料未说明

下载量

8,655
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:tweet-composer(推文作曲家)
来源仓库:https://github.com/minilozio/tweet-composer
安装命令:
openclaw skills install tweet-composer
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 tweet-composer

简介

tweet-composer 基于 X 开源排名算法优化推文排序与表现。

  • 适合在 OpenClaw 中对草稿推文进行评分与内容改进。
  • 依据实际推荐系统逻辑分析文本特征与参与度潜力。
  • 避免依赖通用提示,聚焦真实平台机制调优。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
tweet-composer
description
>

Tweet Composer

Score and optimize tweets using rules derived from X's open-source ranking algorithm.

How It Works

X's "For You" feed is ranked by a Grok-based transformer (Phoenix) that predicts 19 engagement actions for every candidate tweet. The final score is a weighted sum of these predictions. This skill encodes the structural rules from that pipeline into a scoring system.

For the full algorithm breakdown, read references/algorithm-rules.md.

Scoring a Draft Tweet

When a user asks to score or optimize a tweet draft:

  1. Read references/algorithm-rules.md for the complete rules engine
  2. Analyze the draft against all rules
  3. Output the score card in this format:
🐦 Tweet Composer — Score: XX/100

[Category scores with ✅ ⚠️ ❌ indicators]

📊 Predicted Action Boost:
├─ P(reply): [assessment]
├─ P(favorite): [assessment]  
├─ P(share): [assessment]
├─ P(dwell): [assessment]
└─ P(not_interested): [assessment]

💡 Suggestions:
→ [actionable improvements]

✏️ Optimized version:
"[rewritten tweet]"

Scoring Rubric (Quick Reference)

Score 0-100 based on weighted categories:

CategoryWeightWhat to check
Reply potential25Questions, opinions, CTAs that drive replies
Media20Native image/video attached (not link previews)
Shareability15Would someone DM this or copy the link?
Dwell time15Length that makes people stop scrolling
Content quality10Clear, original, not generic
Format10No links in body, no hashtags, good length
Negative signals5Risk of not_interested/mute/block

Thread Optimization

When composing threads:

  • First tweet = strongest hook (DedupConversationFilter keeps only the best per conversation)
  • 3-6 tweets max (short threads > mega-threads)
  • Each tweet self-contained (many see only the first)
  • Media on tweet 1 or 2 for photo_expand boost
  • CTA in last tweet

Quick Rules (No Reference File Needed)

  • Links: Always in reply, never in body (learned penalty from lower engagement)
  • Hashtags: Zero. The model learns they reduce engagement
  • Length: 100-200 chars sweet spot for single tweets
  • Media: Native image/video = separate P(photo_expand) and P(video_quality_view) predictions
  • Video: Must exceed minimum duration threshold for VQV weight to apply
  • Timing: Post when your audience is active — engagement velocity in first 30 min is critical
  • Frequency: AuthorDiversityScorer penalizes exponentially: 2nd post ~55% score, 3rd ~33%. Max 3-4 strong tweets/day
  • Quote tweets: P(quote) has dedicated weight — QTs with added value outperform plain retweets
  • Engagement bait: Questions/polls drive P(reply). "What would you add?" > "Like if you agree"

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

74.16%
按下载量换算6,419

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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