Arbaz Asif
Community@arbazex
Agentic AI | AI Automation
Agent Skills by Arbaz Asif
Showing 4 vetted skills indexed across 1 GitHub repositories.
text-humanizer-Instruction-based
Detect and rewrite 45 documented AI writing patterns into natural human prose.
feynman-technique-explainer
Explains any concept using plain language, analogies, examples, and comprehension quizzes.
decision-mental-models
Applies 2-3 selected mental models from a library of 20 to analyze problems and decisions.
writing-credibility-auditor
Audit text for logical fallacies, unsupported claims, weasel words, and misleading statistics.
Frequently Asked Questions About Arbaz Asif
FAQPage SchemaWhat tasks can I perform with Arbaz Asif's skills?▼
You can detect and rewrite AI-generated writing patterns, audit any text for missing citations, logical fallacies, and misleading statistics, explain concepts using the Feynman Technique with analogies and quizzes, and apply mental models like First Principles and Inversion to decisions.
Who are these skills designed for?▼
Writers, editors, content reviewers, educators, and decision-makers. The text-humanizer serves editors refining AI drafts, the credibility auditor serves fact-checkers reviewing articles and reports, and the Feynman explainer and mental-models skills serve learners and analysts.
How do I install and run these skills?▼
Each skill is hosted in its own GitHub repository under github.com/arbazex with instruction-based frontmatter (name, description, version 1.0.0). Clone the repository and load the skill folder into a compatible agent runtime that reads native skill frontmatter.
Are these skills free and open source?▼
Yes. All four skills are publicly available on GitHub at no cost under the arbazex account, each with its own repository homepage. No paid tier, subscription, or license fee is indicated in the skill manifest.
What prerequisites or dependencies do these skills require?▼
No external dependencies, APIs, or libraries are specified in the manifest. Each skill is a self-contained instruction-based definition requiring only a runtime environment capable of parsing native skill frontmatter and executing the described instructions.