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 source installs☆ 0 Repository stars

View source ↗Installation SKILL.md ↗

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install h4gen/content-creator-skill

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill 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...

Source information

Source: github
Repository: openclaw/skills
Path: skills/h4gen/content-creator-skill
Version: —
Commit: 79589271fd9b5572ae0927eb8ba0c61c96fb5ca7
Classification source: rules
Status: active
Visibility: public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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...