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OpenClaw

human-masked-content-creator

Meta-skill for orchestrating humanizer, de-ai-ify, copywriting, and tweet-writer to produce high-quality, platform-ready content that sounds authentic and human while preserving factual integrity. Use when users need persuasive posts and thread adaptations with anti-generic voice editing and engagement-focused structure.

h4gen0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install h4gen/content-creator-skill

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Purpose

Create content that is:

  • persuasive and high-signal,
  • natural in voice,
  • platform-appropriate,
  • non-generic and non-template-like.

This skill coordinates upstream writing/editing skills; it does not claim guaranteed virality.

Required Installed Skills

  • humanizer (inspected latest: 1.0.0)
  • de-ai-ify (inspected latest: 1.0.0)
  • copywriting (inspected latest: 0.1.0)
  • tweet-writer (inspected latest: 1.0.0)

Install/update:

npx -y clawhub@latest install humanizer
npx -y clawhub@latest install de-ai-ify
npx -y clawhub@latest install copywriting
npx -y clawhub@latest install tweet-writer
npx -y clawhub@latest update --all

Verify:

npx -y clawhub@latest list

Requested Scenario Profile

Example scenario:

  • User needs a LinkedIn post about remote work.
  • The post should feel authentic and engagement-oriented.
  • The final output should also include an X thread adaptation (5 tweets).

Inputs the LM Must Collect First

  • topic (example: remote work)
  • platform_primary (linkedin)
  • target_audience (example: managers, founders, ICs)
  • goal (reach, comments, shares, leads)
  • voice_preferences (direct, reflective, contrarian, practical)
  • author_context (first-hand experience, examples, proof points)
  • hard_constraints (length, tone, banned claims/words)
  • thread_required (yes/no, default yes for this scenario)

Do not draft copy before these are explicit.

Tool Responsibilities

humanizer

Use as first-pass anti-pattern editor:

  • remove common AI writing signals,
  • replace inflated/formulaic language with specific concrete phrasing,
  • preserve meaning while increasing naturalness.

Important behavior:

  • strongly pattern-based rewrite guidance,
  • output is rewritten text + change summary,
  • no guaranteed numeric score in the base humanizer skill.

de-ai-ify

Use as voice pass:

  • reduce robotic transitions and hedging,
  • simplify buzzword-heavy language,
  • increase conversational rhy...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/h4gen/content-creator-skill
Version
—
Commit
79589271fd9b5572ae0927eb8ba0c61c96fb5ca7
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Purpose

Create content that is:
- persuasive and high-signal,
- natural in voice,
- platform-appropriate,
- non-generic and non-template-like.

This skill coordinates upstream writing/editing skills; it does not claim guaranteed virality.

# Required Installed Skills

- `humanizer` (inspected latest: `1.0.0`)
- `de-ai-ify` (inspected latest: `1.0.0`)
- `copywriting` (inspected latest: `0.1.0`)
- `tweet-writer` (inspected latest: `1.0.0`)

Install/update:

```bash
npx -y clawhub@latest install humanizer
npx -y clawhub@latest install de-ai-ify
npx -y clawhub@latest install copywriting
npx -y clawhub@latest install tweet-writer
npx -y clawhub@latest update --all
```

Verify:

```bash
npx -y clawhub@latest list
```

# Requested Scenario Profile

Example scenario:
- User needs a LinkedIn post about remote work.
- The post should feel authentic and engagement-oriented.
- The final output should also include an X thread adaptation (5 tweets).

# Inputs the LM Must Collect First

- `topic` (example: remote work)
- `platform_primary` (`linkedin`)
- `target_audience` (example: managers, founders, ICs)
- `goal` (reach, comments, shares, leads)
- `voice_preferences` (direct, reflective, contrarian, practical)
- `author_context` (first-hand experience, examples, proof points)
- `hard_constraints` (length, tone, banned claims/words)
- `thread_required` (`yes/no`, default `yes` for this scenario)

Do not draft copy before these are explicit.

# Tool Responsibilities

## humanizer

Use as first-pass anti-pattern editor:
- remove common AI writing signals,
- replace inflated/formulaic language with specific concrete phrasing,
- preserve meaning while increasing naturalness.

Important behavior:
- strongly pattern-based rewrite guidance,
- output is rewritten text + change summary,
- no guaranteed numeric score in the base `humanizer` skill.

## de-ai-ify

Use as voice pass:
- reduce robotic transitions and hedging,
- simplify buzzword-heavy language,
- increase conversational rhy...

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