Content Gen

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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: - ANTHROPIC_API_KEY anyBins: - node - python3 primaryEnv: ANTHROPIC_API_KEY emoji: "✍️" homepage: https://github.com/drivenautoplex1/openclaw-skills install: - kind: node package: "@anthropic-ai/sdk" bins: []

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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.

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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

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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
}

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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..." }
}

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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 < 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)

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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.

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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.

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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

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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.

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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

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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

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*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).*