| 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
- Identify audience, format, tone, and whether facts need verification.
- Preserve meaning and constraints; do not invent claims or citations.
- Remove formulaic AI tells, weak structure, filler, and unsupported hype.
- Match user voice when a sample is provided.
- 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
