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content-gen内容生成

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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).*

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能力 5

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