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Content Gen

作者 drivenautoplex1 · GitHub ↗ · v1.2.0 · MIT-0
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在 OpenClaw 中安装
/install content-gen
功能描述
Multi-format content generation with built-in neural quality scoring — every piece is scored against neuromarketing dimensions before delivery. Content that...
使用说明 (SKILL.md)

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)

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

Generate content
→ Score against 8 dimensions
→ If total ≥ threshold: return with score
→ If total \x3C threshold:
     Identify bottom 3 dimensions
     Generate improvement instructions
     Regenerate with explicit fixes
     Re-score
     If still \x3C 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).

安全使用建议
This skill appears coherent: it uses the Anthropic API to generate and re-score content and requests only the Anthropic API key. Before installing, confirm you are comfortable granting the skill access to your ANTHROPIC_API_KEY (it will be used to call the Anthropic service). Ensure you have a suitable runtime (node or python3) since the install lists the @anthropic-ai/sdk package. Understand that the 'neural_score' is an internal metric — review outputs before publishing (models can hallucinate or introduce factual errors), and verify any customer-facing 'score badge' claims are appropriate for your use case and compliance requirements.
功能分析
Type: OpenClaw Skill Name: content-gen Version: 1.2.0 The content-gen skill bundle (v1.2.0) is a content generation tool that implements a 'quality gate' through a detailed scoring and auto-rewrite logic described in SKILL.md. The instructions guide the AI agent to evaluate content against specific neuromarketing dimensions (e.g., urgency signals, social proof) and perform up to two rewrites if thresholds are not met. The bundle requires the standard Anthropic SDK and references a shared backend script (generate.py). There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; the content is entirely focused on its stated marketing and content creation purpose.
能力评估
Purpose & Capability
Name/description (content generation with neural scoring) match the declared primary credential (ANTHROPIC_API_KEY) and the install of the @anthropic-ai/sdk package. Requesting a node or python3 runtime is plausible for executing score/regenerate logic.
Instruction Scope
SKILL.md is an instruction-only spec describing generation, scoring, and auto-rewrite logic. It does not instruct the agent to read unrelated files, access other environment variables, or transmit data to unexpected endpoints beyond implied use of the Anthropic API.
Install Mechanism
Install spec pulls a single npm package (@anthropic-ai/sdk). This is proportionate to calling the Anthropic API, but note the skill has no code files bundled — the runtime will need to fetch and use that SDK when invoked.
Credentials
Only ANTHROPIC_API_KEY is required and identified as the primary credential. No unrelated secrets or config paths are requested.
Persistence & Privilege
The skill does not request always:true or any system-wide privileges. It is user-invocable and can run autonomously (platform default), which is appropriate for this integration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install content-gen
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /content-gen 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.2.0
**v1.2.0 — Adds automated neural quality scoring and rewriting** - Every generated content piece is now scored against 8 neuromarketing dimensions (0-100). - If content scores below your threshold (default: 70), it is automatically rewritten and re-scored (up to 2 times). - All outputs include a neural score, scoring breakdown, and ready-to-use score badge as proof. - Input/output contracts updated to support quality gate parameters and scored output. - Three pricing tiers clarified: Free (score only), Standard (score gate + 1 rewrite), Pro (up to 2 rewrites/bulk scoring). - No changes to backend or platform; only the SKILL.md contract and documentation are updated for quality gating.
v1.1.0
- Updated branding: changed GitHub homepage link from "dfw-area-house-hunt" to "drivenautoplex1". - Made content and prompt examples generic (removed DFW/local references for broader use). - Adjusted example output and prompts to remove local/regional references. - Updated hashtag examples in calendar output from "#DFWRealEstate" to "#RealEstate". - No code or backend changes—documentation refresh only.
v1.0.1
Minor updates
v1.0.0
Version 1.1.0 (content-gen) - Added detailed documentation to SKILL.md covering supported content types, input/output contracts, and backend setup. - Clarified content generation modes: social calendar, video scripts, articles, listing copy, partnership decks, objection handlers, and newsletters. - Outlined sample prompts and platform-specific recommendations for content generation. - Provided JSON schema for social calendars and format templates for scripts and articles. - Documented backend usage (local MLX server or Claude Haiku fallback) and included sample integration commands. - Included a 30-day content calendar template and workflow for bulk content creation.
元数据
Slug content-gen
版本 1.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

Content Gen 是什么?

Multi-format content generation with built-in neural quality scoring — every piece is scored against neuromarketing dimensions before delivery. Content that... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 153 次。

如何安装 Content Gen?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install content-gen」即可一键安装,无需额外配置。

Content Gen 是免费的吗?

是的,Content Gen 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Content Gen 支持哪些平台?

Content Gen 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Content Gen?

由 drivenautoplex1(@drivenautoplex1)开发并维护,当前版本 v1.2.0。

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