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Skill/Writing/Adapted Open Source

Humanizer

Strips robotic hallmarks and promotional padding from machine prose.

What It Does

Audits text against established machine writing patterns (inflated symbolism, promotional adjectives, superficial participle clauses, rule of three lists) and rewrites issues in place.

Origin and Adaptation Notes

Complete regeneration often discards original arguments. Targeted rewriting cleans artificial phrasing while preserving technical points.

Attribution: Adapted from Siqi Chen's open source humanizer skill (blader/humanizer). Distributed under the MIT License.

When to Activate

  • •Polishing first draft documentation, essays, and technical writeups
  • •Removing artificial promotional buzzwords from published text
  • •De-biasing text that exhibits formulaic machine rhythm

When to Avoid

  • •Writing raw code or strictly structured JSON documents

Skill Specification and Runtime Setup

Full Instruction Specification
# Humanizer Specification

## Overview
Audits text against established machine writing patterns (inflated symbolism, promotional adjectives, superficial participle clauses, rule of three lists) and rewrites issues in place.

## Rationale
Complete regeneration often discards original arguments. Targeted rewriting cleans artificial phrasing while preserving technical points.

## Core Principles
* Always verify environment constraints and dependencies before executing.
* Enforce negative constraints and reject speculative abstractions.
* Validate output against stated acceptance rubrics.

## Execution Workflow
1. Discovery: Map requirements and inspect active context.
2. Decomposition: Break down the task into discrete, verifiable phases.
3. Execution: Implement surgical changes preserving existing code architecture.
4. Verification: Test all criteria before declaring completion.

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