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x-growth-automationx 增长自动化

Agent Skill

x-growth-automation 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

8,686

周安装

348

GitHub Stars

2

下载量

2,812
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:x-growth-automation(x 增长自动化)
来源仓库:https://github.com/roskva000/x-growth-automation
安装命令:
openclaw skills install x-growth-automation
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 x-growth-automation

简介

构建可复用的 X/Twitter 增长自动化系统。

  • 支持试运行模式和实时部署切换。x-growth-automation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 集成 Bird CLI 和 X API 多渠道操作。
  • 配置源分支和社区 CTA 模板灵活定制。
  • 需 OAuth 授权和 webhook 回调地址设置。

SKILL.md

name
x-growth-automation
description
Set up a reusable X/Twitter growth automation system with OpenClaw, Bird CLI, X API, optional source branching, optional community CTA, dry-run/live rollout, anti-repetition controls, and niche-specific posting policy. Use when a user wants to build, clone, publish, or customize an autonomous X growth workflow, especially if they ask to install the system from GitHub/ClawHub, configure cadence (including high-volume modes like 10/day), define niches, add/disable reply automation, localize for a specific language, or connect external editorial feeds into X.

X Growth Automation

Build a separate, reusable X automation project for the user. Do not assume their current production project should be modified. Prefer creating a fresh folder unless they explicitly target an existing repo.

Core workflow

  1. Ask setup questions first using references/setup-questionnaire.md.
  2. Choose safe rollout mode using references/rollout-modes.md.
  3. Scaffold a clean project with scripts/scaffold_x_growth_project.py.
  4. Fill configs based on the user's answers.
  5. Keep publish disabled by default unless the user explicitly asks for live publishing.
  6. If enabling live publish, keep caps, slot scheduling, and fallback rules explicit.

What this skill should help build

A reusable X automation system with these layers:

  • discovery via Bird CLI
  • selection/scoring layer
  • draft generation layer
  • optional LLM-first approval layer
  • optional source branching from an external editorial feed
  • optional community CTA logic
  • slot-based publishing via X API
  • dry-run-first rollout

Non-negotiable safety defaults

  • Create the project in a new folder unless the user clearly says otherwise.
  • Treat Bird as read/discovery first.
  • Treat X API as write/publish layer.
  • Default new installs to dry-run.
  • If the user wants aggressive automation, still keep daily/monthly caps in config.
  • Never silently copy private tokens, links, handles, or niche assumptions from another project.
  • Treat reply automation as a higher-risk lane than normal posts; disable by default unless explicitly requested.
  • In live mode, require clear logging for posted / skipped / failed outcomes.
  • Use idempotent slot keys that do not depend on mutable draft text (prevent same-source repost loops).
  • Add anti-repetition guardrails (for example last-48h similarity checks + source de-dup).

Ask these questions before scaffolding

Read references/setup-questionnaire.md and ask only the missing items. Do not dump all questions at once if the user already answered some.

Minimum set to unblock setup:

  • niche/topic focus
  • posting language
  • dry-run or live
  • daily target range
  • monthly hard cap
  • Bird available?
  • X API available?
  • source branching wanted?
  • community CTA wanted?

After answers are clear

Run the scaffold script:

python3 scripts/scaffold_x_growth_project.py --path <target-dir> --profile-json '<json>'

The JSON may include fields like:

  • project_name
  • language
  • niche_summary
  • daily_min
  • daily_max
  • monthly_cap
  • community_enabled
  • community_link
  • reply_cta_enabled
  • reply_cta_style
  • source_branching_enabled
  • source_branching_label
  • bird_enabled
  • x_api_enabled
  • live_publish

Recommended setup behavior

If user says “install this system for me”

  • Ask the setup questions.
  • Scaffold a fresh project.
  • Fill the config files.
  • Keep publish disabled unless they explicitly approve live mode.
  • Explain where they should place credentials.

If user says “can we adapt this to my niche?”

  • Ask for niche, audience, tone, and content pillars.
  • Update topic/search/watch-account config.
  • Update crosspost/reply policy if needed.

If user says “make it more aggressive”

  • Increase cadence and caps explicitly.
  • Keep hard caps documented.
  • Confirm whether replies should include CTA or not.
  • Do not remove quality gates unless asked.
  • Keep reply-specific safeguards even in aggressive mode: target validation, skip-on-failure, and per-day caps.

If user says “I want community integration”

  • Ask whether the external community/feed is:

- source-of-truth content feed - CTA destination only - both

  • Configure source branching and reply CTA rules separately.
  • Never assume the community platform is Telegram unless the user explicitly says so.

File customization order

After scaffolding, customize in this order:

  1. config/publish-policy.json
  2. config/publish-slots.json (if slot-based cadence is used)
  3. config/topics.json
  4. config/budget-policy.json
  5. config/draft-diversity.json (or equivalent prompt/diversity controls)
  6. .env.example
  7. docs/operator-notes.md
  8. prompts if the user wants a distinct tone

When to enable live mode

Enable live mode only when all of these are true:

  • credentials are present
  • the user explicitly wants live publish
  • cadence/caps are set
  • reply policy is defined
  • source branching behavior is defined
  • the user understands what will auto-post

Publish strategy guidance

Use explicit profiles and encode them in config:

  • Conservative: 2-5/day, reply lane optional, 0-2 core
  • Balanced: 4-7/day, reply lane optional, 2-4 core
  • High-volume: 10/day = 1 news crosspost + 1 special crosspost + 8 core posts

If the user chooses high-volume mode:

  • keep monthly cap explicit
  • disable reply lane unless there is a clear reason to keep it
  • enforce anti-repetition guardrails (recent-post similarity + source de-dup)
  • distribute core slots through the day (avoid burst clustering)

If the user wants a different mix, encode it in config rather than burying it in prose.

Resources

scripts/

  • scaffold_x_growth_project.py creates a clean generic project scaffold.

references/

  • setup-questionnaire.md contains the installation interview.
  • rollout-modes.md explains dry-run vs live rollout choices.

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

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按下载量换算2,462

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安装前确认

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