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Agent Skill · 开发

content-gen(内容生成)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

content-gen 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 6,451。

总安装 4,697周安装 190GitHub Stars 公开资料未说明下载 1,474核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.2.0

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:content-gen(内容生成)
来源仓库:https://github.com/drivenautoplex1/content-gen
安装命令:
openclaw skills install content-gen
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 content-gen

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

多格式内容生成器内置神经质量评分系统,按神经营销维度评估作品表现。适用于广告文案、着陆页与电子邮件横幅等追求高转化率的场景。每件作品交付前自动优化情绪唤起与认知负荷平衡点。安装命令:openclaw skills install content-gen,需接入生物反馈模拟数据库。

使用前应评估是否允许使用心理学实验数据训练个性化推荐模型。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install content-gen;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

content-gen 怎么安装?

在终端执行 openclaw skills install content-gen。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

content-gen 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

content-gen 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

content-gen 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

content-gen 用的人多吗?

公开数据是累计安装 4,697 次,近一周安装 190 次,下载 1,474 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

content-gen 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
content-gen

内容生成 · 本页

4,697—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
content-gen
description
Multi-format content generation with built-in neural quality scoring — every piece is scored against neuromarketing dimensions before delivery. Content that scores below your threshold is automatically rewritten. You get the score as proof.
version
1.2.0
metadata
openclaw
requires
env
anyBins
primaryEnv
ANTHROPIC_API_KEY
emoji
✍️
homepage
https://github.com/drivenautoplex1/openclaw-skills
install
package
@anthropic-ai/sdk
bins
[]

Content Gen Skill — v1.2 (Quality-Gated)

Generate a full month of content in 2 hours, or get a single piece in 30 seconds — with a neural quality score on every output.

What Changed in v1.2

Previous versions generated content and stopped. v1.2 adds a content-scorer quality gate:

  1. Content is generated
  2. Output is scored against 8 neuromarketing dimensions (0-100)
  3. If score is below your threshold (default: 70), the skill identifies the weakest dimensions and regenerates with specific improvement instructions
  4. Final output includes the neural score as a deliverable proof point

This means you never receive content that hasn't passed a quality check — and your customers see the score.


What This Skill Does

Bulk or single-piece content for:

  • 30-day social calendars — full month of posts across X, LinkedIn, Facebook, Instagram
  • Video scripts — short-form (30s/60s) and long-form (3-5 min)
  • SEO articles — keyword-targeted blog posts
  • Listing copy — property descriptions from address or specs
  • Agent partnership decks — talking points, one-pagers, pitch scripts
  • Objection handling scripts — responses for common buyer/seller objections
  • Market update newsletters — weekly/monthly digest for lead nurture lists

Input Contract

{
  "mode": "calendar|script|article|listing|partnership|objection|newsletter",
  "topic": "specific topic or paste raw notes",
  "platform": "x|linkedin|facebook|instagram|all",
  "length": "30 days | 500 words | 3 variations",
  "brand_voice": "urgent|educational|conversational|luxury|first-time-buyer",
  "score_threshold": 70,
  "auto_rewrite": true,
  "max_rewrites": 2,
  "output_score": true
}

Output Contract

All outputs now include a neural_score block:

{
  "content": "...",
  "neural_score": {
    "total": 79,
    "pass": true,
    "threshold_used": 70,
    "rewrites_needed": 1,
    "dimensions": {
      "second_person_density": 18,
      "sentence_complexity": 14,
      "concrete_noun_density": 12,
      "gain_vs_loss_framing": 11,
      "urgency_signals": 8,
      "identity_alignment": 7,
      "social_proof": 5,
      "specificity": 4
    },
    "improvement_applied": "Increased second-person framing and added concrete dollar amounts. Specificity improved by adding timeline (90 days) and quantified outcome."
  },
  "score_badge": "This content scored 79/100 on neural signal strength — above the 60/100 average for mortgage marketing content.",
  "structured_output": { "...mode-specific JSON..." }
}

The Quality Gate — How It Works

Neural Scoring Dimensions (8 factors, total 100pts)

DimensionMax PointsWhat It Measures
Second-person density20"you/your" frequency — speaks directly to reader
Sentence complexity18Readability — shorter sentences score higher
Concrete noun density16Real numbers, named things, specific amounts
Gain vs loss framing14Positive outcomes weighted vs fear framing
Urgency signals12Time-bound language, scarcity, action pressure
Identity alignment10ICP match — does this speak to the right person
Social proof6Specificity of evidence (numbers, outcomes, names)
Specificity4Vagueness penalty — "great results" scores 0

Auto-Rewrite Logic

Generate content
→ Score against 8 dimensions
→ If total ≥ threshold: return with score
→ If total < threshold:
     Identify bottom 3 dimensions
     Generate improvement instructions
     Regenerate with explicit fixes
     Re-score
     If still < threshold and max_rewrites > 1: repeat
     Return best version with score + note on what improved

Default threshold: 70/100 (above industry average of 60) Recommended threshold for paid products: 75+ Max rewrites: 2 (prevents infinite loops)


Modes

Calendar:

{
  "week": 1,
  "posts": [
    {
      "day": "Mon", "platform": "LinkedIn",
      "hook": "...", "body": "...", "cta": "...",
      "char_count": 284, "hashtags": ["#RealEstate"],
      "neural_score": 77
    }
  ],
  "calendar_avg_score": 74,
  "low_score_posts": ["Day 8 (62) — rewrote: +9pts"]
}

Script:

[0:00-0:04] HOOK — Neural score: 81
"If you've served and you're renting right now — pay attention."
Score drivers: identity_alignment (9/10), urgency (8/10)

[0:04-0:12] PROBLEM
...
[Script score summary: 78/100]

Article: Full markdown with meta description, keyword density note, and per-section score.

All other modes: Markdown with score badge appended.


Score Badge (Use as Social Proof)

Every output includes a ready-to-use score badge. Add it to your Gumroad product page, Fiverr delivery, or social post:

*"This content scored 79/100 on neural signal strength — above the 60/100 industry average for mortgage marketing content."*

Buyers don't need to understand the methodology. They see proof it's been tested.


Example — Quality Gate in Action

Input: "Write a LinkedIn post about VA loans for veterans who are renting"

Draft 1 score: 61 (below 70 threshold)

  • Weak: second-person density (8/20) — uses "veterans" not "you"
  • Weak: specificity (1/4) — no dollar amounts or timelines
  • Auto-improvement: switch to direct second-person, add "$0 down" and "no PMI" specifics

Draft 2 score: 78 (above threshold, delivered)

  • "If you served and you're renting right now — you may be leaving a real advantage on the table. VA loans let eligible veterans buy with zero down and no PMI — saving $150–$300/month compared to a conventional loan on the same home."

Output includes: final content + 78/100 score + "1 rewrite needed" note


Backend

Uses generate.py (shared backend). Local MLX first, Haiku fallback.

LLM_BACKEND=local openclaw run content-gen "30-day calendar"   # free
LLM_BACKEND=haiku openclaw run content-gen "SEO article"       # ~$0.30

Note: Scoring runs locally (no additional API cost). Only generation uses LLM.


Tiers

Free — Single-piece generation only, no auto-rewrite, score reported but no gate Standard ($12/mo) — All modes, quality gate active, up to 1 rewrite, score badge included Pro ($37/mo) — All modes, up to 2 rewrites, threshold configurable, bulk calendar with per-post scores, structured JSON export


Integration

# Via Telegram
@openclaw content-gen calendar "30 days, mortgage, threshold 75"

# Via Claude Code
openclaw run content-gen "video script, 60s, VA loan, score gate 75"

# Direct
openclaw run content-gen --mode=article --topic="first-time buyer myths" --threshold=72

*v1.2.0 — Added content-scorer quality gate. Every output now scored against 8 neuromarketing dimensions. Auto-rewrite if below threshold. Score badge included in all deliverables. Upgraded from depth 2 (template generator) to depth 3 (quality-validated generator).*

平台分布

OpenClaw

72.38%
按下载量换算1,067

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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