A specialized skill designed to eliminate AI stylistic tells and produce high-density, professional technical documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install human-writing-azzar
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install human-writing-azzar using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Human Writing?
The Human Writing skill provides a rigorous framework for generating technical prose that sounds like it was written by a senior engineer rather than an LLM. By leveraging the Openclaw Skills ecosystem, this tool purges common AI stylistic markers, overused vocabulary, and puffy language, replacing them with precision and information density. It is the gold standard for maintaining a professional voice across READMEs, code comments, and formal technical specifications.
This skill enforces a "Professional Human in the Field" standard, ensuring that documentation is direct, actionable, and free from the corporate fluff typically associated with generative models. It prioritizes technical accuracy and RFC-level detail over flowery descriptions, making it an essential tool for developers who value clarity and professional authority in their written output.
Human Writing Use Cases
- Creating professional README files and project documentation without AI-generated tropes.
- Writing high-density code comments that focus on technical facts rather than prose.
- Drafting Pull Request descriptions that meet senior-level engineering standards.
- Auditing existing documentation to remove buzzwords like "leverage," "seamless," or "cutting-edge."
- Generating text-only technical guides that exclude emojis for maximum clarity.
How Human Writing Works
- The skill scans the provided reference guides to identify banned vocabulary and structural tropes common in AI writing.
- It applies professional standards for information density and tone to the drafting process.
- Content is drafted with a focus on precision, prioritizing numbers, versions, and technical specifications.
- A self-audit phase occurs where the skill identifies and removes linguistic patterns like the "Rule of Three" or parallelisms.
- The final output is stripped of emojis and corporate filler to ensure it meets the text-only professional documentation standard.
Human Writing Setup
To utilize this skill within the Openclaw Skills framework, ensure your environment is configured to point to the correct reference directories.
# Initialize the human-writing configuration
openclaw skill enable human-writing
# Verify that the required reference files are accessible
cat references/ai-tells.md
cat references/standards.md
Human Writing Data Schema & Taxonomy
The skill operates based on two primary reference files and a set of internal directives to manage metadata and output structure:
| File/Component | Purpose |
|---|---|
ai-tells.md |
A database of overused LLM phrases and structural patterns to be purged. |
standards.md |
Definitive guidelines for professional tone, density, and technical precision. |
Tone Directives |
Internal rules prioritizing text-only output and the removal of buzzwords. |
Prose Filters |
Algorithms that detect and eliminate common AI-specific parallelisms. |
Human Writing Advanced Features
- Automated self-audit workflows that scan for "Not only... but also" structures.
- Zero-tolerance buzzword filtering for high-stakes technical documentation.
- Context-aware emoji management that allows emojis in chat but strips them from formal docs.
- High-density prose generation designed specifically for technical RFCs and versioning logs.
SKILL.md
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