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
- Output is scored against 8 neuromarketing dimensions (0-100)
- If score is below your threshold (default: 70), the skill identifies the weakest dimensions and regenerates with specific improvement instructions
- 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
CODEBLOCK0
Output Contract
All outputs now include a neural_score block:
CODEBLOCK1
The Quality Gate — How It Works
Neural Scoring Dimensions (8 factors, total 100pts)
| Dimension | Max Points | What It Measures |
|---|
| Second-person density | 20 | "you/your" frequency — speaks directly to reader |
| Sentence complexity |
18 | Readability — shorter sentences score higher |
| Concrete noun density | 16 | Real numbers, named things, specific amounts |
| Gain vs loss framing | 14 | Positive outcomes weighted vs fear framing |
| Urgency signals | 12 | Time-bound language, scarcity, action pressure |
| Identity alignment | 10 | ICP match — does this speak to the right person |
| Social proof | 6 | Specificity of evidence (numbers, outcomes, names) |
| Specificity | 4 | Vagueness penalty — "great results" scores 0 |
Auto-Rewrite Logic
CODEBLOCK2
Default threshold: 70/100 (above industry average of 60)
Recommended threshold for paid products: 75+
Max rewrites: 2 (prevents infinite loops)
Modes
Calendar:
CODEBLOCK3
Script:
CODEBLOCK4
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.
CODEBLOCK5
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
CODEBLOCK6
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).
内容生成技能 — v1.2(质量门控版)
2小时内生成一整月内容,或30秒内获取单篇内容——每次输出均附带神经质量评分。
v1.2 更新内容
先前版本仅生成内容即止。v1.2新增了内容评分质量门控:
- 1. 生成内容
- 根据8个神经营销维度对输出进行评分(0-100分)
- 若评分低于阈值(默认:70分),技能将识别最弱维度并重新生成,附带具体改进指令
- 最终输出包含神经评分作为可交付的证明点
这意味着您永远不会收到未通过质量检查的内容——您的客户也能看到评分。
本技能功能
批量或单篇内容生成,适用于:
- - 30天社交媒体日历 — 在X、LinkedIn、Facebook、Instagram上整月发布
- 视频脚本 — 短视频(30秒/60秒)和长视频(3-5分钟)
- SEO文章 — 针对关键词的博客文章
- 房源文案 — 根据地址或规格生成房产描述
- 经纪人合作资料包 — 谈话要点、单页介绍、推销脚本
- 异议处理脚本 — 针对常见买家/卖家异议的回应
- 市场动态简报 — 用于潜在客户培育列表的每周/每月摘要
输入协议
json
{
mode: calendar|script|article|listing|partnership|objection|newsletter,
topic: 特定主题或粘贴原始笔记,
platform: x|linkedin|facebook|instagram|all,
length: 30天 | 500字 | 3个变体,
brand_voice: 紧迫|教育|对话|奢华|首次购房者,
score_threshold: 70,
auto_rewrite: true,
max_rewrites: 2,
output_score: true
}
输出协议
所有输出现在包含neural_score模块:
json
{
content: ...,
neural_score: {
total: 79,
pass: true,
threshold_used: 70,
rewrites_needed: 1,
dimensions: {
secondpersondensity: 18,
sentence_complexity: 14,
concretenoundensity: 12,
gainvsloss_framing: 11,
urgency_signals: 8,
identity_alignment: 7,
social_proof: 5,
specificity: 4
},
improvement_applied: 增加了第二人称框架并添加了具体金额。通过添加时间线(90天)和量化结果提升了具体性。
},
score_badge: 此内容神经信号强度评分79/100——高于抵押贷款营销内容60/100的平均水平。,
structured_output: { ...特定模式的JSON... }
}
质量门控 — 工作原理
神经评分维度(8个因素,总分100分)
| 维度 | 最高分 | 衡量内容 |
|---|
| 第二人称密度 | 20 | 你/您的使用频率——直接与读者对话 |
| 句子复杂度 |
18 | 可读性——短句得分更高 |
| 具体名词密度 | 16 | 真实数字、具体名称、明确数量 |
| 收益vs损失框架 | 14 | 正面结果权重 vs 恐惧框架 |
| 紧迫信号 | 12 | 时间限定语言、稀缺性、行动压力 |
| 身份认同 | 10 | 理想客户画像匹配——是否针对正确人群 |
| 社会证明 | 6 | 证据的具体性(数字、结果、姓名) |
| 具体性 | 4 | 模糊性扣分——很棒的结果得0分 |
自动重写逻辑
生成内容
→ 对8个维度评分
→ 如果总分 ≥ 阈值:返回结果并附评分
→ 如果总分 < 阈值:
识别最低的3个维度
生成改进指令
附带明确修正重新生成
重新评分
如果仍低于阈值且最大重写次数 > 1:重复
返回最佳版本,附评分和改进说明
默认阈值: 70/100(高于行业平均60分)
付费产品推荐阈值: 75+
最大重写次数: 2(防止无限循环)
模式
日历:
json
{
week: 1,
posts: [
{
day: 周一, platform: LinkedIn,
hook: ..., body: ..., cta: ...,
char_count: 284, hashtags: [#房地产],
neural_score: 77
}
],
calendaravgscore: 74,
lowscoreposts: [第8天(62分)— 已重写:+9分]
}
脚本:
[0:00-0:04] 钩子 — 神经评分:81
如果您曾服役且现在正在租房——请注意。
评分驱动因素:身份认同(9/10),紧迫感(8/10)
[0:04-0:12] 问题
...
[脚本评分摘要:78/100]
文章: 完整Markdown格式,附带元描述、关键词密度说明和每节评分。
所有其他模式: Markdown格式,附评分徽章。
评分徽章(用作社会证明)
每次输出均包含可直接使用的评分徽章。可添加到您的Gumroad产品页面、Fiverr交付或社交媒体帖子:
此内容神经信号强度评分79/100——高于抵押贷款营销内容60/100的行业平均水平。
买家无需理解方法论。他们看到的是经过测试的证明。
示例 — 质量门控实际应用
输入: 为正在租房的退伍军人写一篇关于VA贷款的LinkedIn帖子
初稿评分:61分(低于70分阈值)
- - 弱点:第二人称密度(8/20)——使用退伍军人而非您
- 弱点:具体性(1/4)——无金额或时间线
- 自动改进:切换为直接第二人称,添加零首付和无PMI等具体信息
二稿评分:78分(高于阈值,交付)
- - 如果您曾服役且现在正在租房——您可能正在错失真正的优势。VA贷款允许符合条件的退伍军人零首付购房且无需PMI——与同等房产的传统贷款相比,每月可节省150-300美元。
输出包含: 最终内容 + 78/100评分 + 需要1次重写说明
后端
使用generate.py(共享后端)。优先本地MLX,后备Haiku。
bash
LLM_BACKEND=local openclaw run content-gen 30天日历 # 免费
LLM_BACKEND=haiku openclaw run content-gen SEO文章 # 约$0.30
注意: 评分在本地运行(无额外API费用)。仅生成使用LLM。
层级
免费版 — 仅单篇生成,无自动重写,报告评分但无门控
标准版($12/月) — 所有模式,质量门控激活,最多1次重写,包含评分徽章
专业版($37/月) — 所有模式,最多2次重写,阈值可配置,批量日历含每篇评分,结构化JSON导出
集成
bash
通过Telegram
@openclaw content-gen calendar 30天,抵押贷款,阈值75
通过Claude Code
openclaw run content-gen 视频脚本,60秒,VA贷款,评分门控75
直接
openclaw run content-gen --mode=article --topic=首次购房者误区 --threshold=72
v1.2.0 — 新增内容评分质量门控。每次输出现根据8个神经营销维度评分。低于阈值自动重写。所有交付物包含评分徽章。从深度2(模板生成器)升级至深度3(质量验证生成器)。