writing-and-editing-workflows

name	writing-and-editing-workflows
description	Use when drafting, editing, humanizing, de-AI-ing, polishing, voice-matching, or preparing user-facing prose across docs, articles, emails, posts, memos, and publication text.
version	1.0.0
author	Hermes Agent
license	MIT
metadata	{"hermes":{"tags":["writing","editing","humanize","voice","prose","publishing"],"related_skills":["productivity-documents-and-office","research-writing-workflows"]}}

Writing and Editing Workflows

Overview

This umbrella covers prose work: drafting, editing, humanizing, voice matching, structure repair, and publication polish. The shared class is transforming text for a human audience while preserving meaning, facts, and the user's intended voice.

When to Use

• The user asks to rewrite, polish, humanize, de-AI, de-slop, or make text sound natural.
• The user provides a file or draft and wants edited prose.
• The task involves matching a user's writing sample or adapting tone for an audience.
• The output is a memo, article, email, post, documentation, or publication-facing text.

Shared Workflow

1. Identify audience, format, tone, and whether facts need verification.
2. Preserve meaning and constraints; do not invent claims or citations.
3. Remove formulaic AI tells, weak structure, filler, and unsupported hype.
4. Match user voice when a sample is provided.
5. If editing a file, patch or write it and show the changed section/diff.

Labeled Subsections

Humanizing and de-AI editing

Use the absorbed Humanizer package notes for pattern lists, AI-writing tells, voice calibration, and final anti-AI passes.

Structural editing

Fix order, headings, paragraph purpose, and transitions before sentence-level polish.

Tone and voice matching

Extract concrete voice traits from samples: sentence length, punctuation, diction, paragraph openings, humor, and level of directness.

Package References

The Humanizer package is stored under references/absorbed/humanizer/, including its license file.

Verification Checklist

• Audience/tone/format identified.
• Meaning and factual claims preserved.
• AI tells and filler removed.
• Voice sample used if provided.
• Edited files read back or diffed when applicable.