Purpose
This skill provides a complete AI proofing workflow for narrative Markdown files of any length and genre. It operates without requiring pre-existing metadata or manual annotations, automatically extracting narrative context and applying a systematic 16-task protocol to improve human authenticity while preserving voice.
When to Use This Skill
Invoke this skill when you need to:
- Analyze narrative text for AI-generated signals and patterns
- Remove repetitive vocabulary, formulaic phrasing, or mechanical construction
- Enhance character voice consistency and differentiation
- Improve emotional depth and sensory grounding
- Increase syntactic variety and natural burstiness
- Verify narrative coherence before publication
- Humanize text that may have been assisted by AI
How to Use
Basic Invocation
/aiproofing-text "Analyze and revise this manuscript" path/to/manuscript.md
Or provide text inline:
/aiproofing-text "AI proof this text" "Your narrative text here"
Workflow Phases
The skill executes a structured 6-phase protocol:
- Intake and Baseline – Extracts narrative structure, POV, tone, characters, and establishes baseline metrics
- Lexical Depth – Analyzes vocabulary diversity, idioms, and overused patterns
- Syntax and Grammar Flexibility – Evaluates sentence structure, part-of-speech balance, and modal variety
- Readability and Flow – Checks complexity calibration, formulaic patterns, and rhythmic burstiness
- Voice and Emotion – Assesses character voice consistency, emotional intensity, and figurative language
- Quality Assurance – Validates consistency, continuity, and publication readiness
Understanding the Output
The skill generates:
- Revised manuscript with improvements across all categories
- Analysis report summarizing findings for each protocol area
- Specific recommendations for any remaining concerns
- Publication readiness verdict (Ready / Ready with tweaks / Hold)
Protocols Included
This skill includes 20 specialized analysis protocols:
- AIproof_plan.md – Master workflow organizing all 16 tasks
- manuscript_analysis.md – Automated intake and context extraction
- automation_playbook.md – Detailed agent execution guide
- AIproofcheck.md – Quick verification checklist
- ai_tell_checklist.md – Fast scan for common AI signals
Category Guides:
- vocabulary_analysis.md – Lexical variety and clustering
- idiomatic_analysis.md – Phrase authenticity
- overused_vocabulary_analysis.md – Bureaucratic/tech drift removal
- sentence_structure_analysis.md – SVO pattern breaking
- part_of_speech_analysis.md – Noun/verb/adjective balance
- modal_epistemic_analysis.md – Uncertainty and perspective nuance
- readability_analysis.md – Density and comprehension calibration
- formulaic_pattern_analysis.md – Template disruption
- burstiness_analysis.md – Controlled stylistic surprise
- character_voice_analysis.md – Voice differentiation and consistency
- emotional_intensity_analysis.md – Sensory and emotional grounding
- metaphor_analysis.md – Figurative language and cliché replacement
- consistency_check.md – Continuity and tone cohesion
- final_analysis.md – Publication-readiness validation
Key Features
- Neutral and Genre-Agnostic – Works with any narrative length, genre, tense, or POV
- No Metadata Required – Auto-derives context from the source text alone
- Systematic and Thorough – 16 sequential tasks covering linguistic, structural, and stylistic dimensions
- Voice-Preserving – Enhances authenticity without flattening character or narrative style
- Agent-Ready – Designed for autonomous execution with clear inputs and outputs
- Iterative-Friendly – Allows refinement and rollback between phases
Example Workflow
Input: An unpublished 5,000-word short story with some AI-assisted passages
Processing:
- Extract 4 characters, 3 locations, present tense, third-person limited POV
- Scan vocabulary against overuse clusters; flag 12 repetition hotspots
- Analyze sentence rhythms; identify 3 formulaic openings and 5 SVO patterns
- Review emotional intensity; add sensory grounding to 4 climactic moments
- Check voice consistency across 4 POV sections; differentiate narrator tone
- Verify all changes integrate; confirm readability metrics match intent
Output: Revised manuscript + detailed report addressing each of 16 task categories
Tips for Best Results
- Provide the full narrative context (chapters, scenes, backstory references) for most accurate analysis
- Allow the skill to complete all 6 phases before drawing conclusions
- Review and selectively accept recommendations; preserve intentional stylistic choices
- Use the "Ready with tweaks" verdict to identify areas for human refinement
- Keep pre-edit snapshots for comparison and rollback
Technical Details
The skill includes a Python orchestration script (scripts/aiproof_runner.py) that helps sequence tasks and manage outputs if running via automation.
Protocol files reference each other; the skill maintains cross-references so you can jump to relevant analyses.
Version: 1.0
Status: Production Ready
Last Updated: 2025-12-20
1---2name: aiproofing-text3description: Analyzes narrative text and files to identify and remove AI-generated signals while preserving authentic voice and style. Runs input through comprehensive protocols covering vocabulary, syntax, character voice, emotional depth, and readability. Use this skill when you need to proof narrative content against AI detection patterns or humanize AI-assisted writing.4---56## Purpose78This skill provides a complete AI proofing workflow for narrative Markdown files of any length and genre. It operates without requiring pre-existing metadata or manual annotations, automatically extracting narrative context and applying a systematic 16-task protocol to improve human authenticity while preserving voice.910## When to Use This Skill1112Invoke this skill when you need to:13- Analyze narrative text for AI-generated signals and patterns14- Remove repetitive vocabulary, formulaic phrasing, or mechanical construction15- Enhance character voice consistency and differentiation16- Improve emotional depth and sensory grounding17- Increase syntactic variety and natural burstiness18- Verify narrative coherence before publication19- Humanize text that may have been assisted by AI2021## How to Use2223### Basic Invocation2425```26/aiproofing-text "Analyze and revise this manuscript" path/to/manuscript.md27```2829Or provide text inline:3031```32/aiproofing-text "AI proof this text" "Your narrative text here"33```3435### Workflow Phases3637The skill executes a structured 6-phase protocol:38391. **Intake and Baseline** – Extracts narrative structure, POV, tone, characters, and establishes baseline metrics402. **Lexical Depth** – Analyzes vocabulary diversity, idioms, and overused patterns413. **Syntax and Grammar Flexibility** – Evaluates sentence structure, part-of-speech balance, and modal variety424. **Readability and Flow** – Checks complexity calibration, formulaic patterns, and rhythmic burstiness435. **Voice and Emotion** – Assesses character voice consistency, emotional intensity, and figurative language446. **Quality Assurance** – Validates consistency, continuity, and publication readiness4546### Understanding the Output4748The skill generates:49- **Revised manuscript** with improvements across all categories50- **Analysis report** summarizing findings for each protocol area51- **Specific recommendations** for any remaining concerns52- **Publication readiness verdict** (Ready / Ready with tweaks / Hold)5354## Protocols Included5556This skill includes 20 specialized analysis protocols:5758- **AIproof_plan.md** – Master workflow organizing all 16 tasks59- **manuscript_analysis.md** – Automated intake and context extraction60- **automation_playbook.md** – Detailed agent execution guide61- **AIproofcheck.md** – Quick verification checklist62- **ai_tell_checklist.md** – Fast scan for common AI signals6364**Category Guides:**65- vocabulary_analysis.md – Lexical variety and clustering66- idiomatic_analysis.md – Phrase authenticity67- overused_vocabulary_analysis.md – Bureaucratic/tech drift removal68- sentence_structure_analysis.md – SVO pattern breaking69- part_of_speech_analysis.md – Noun/verb/adjective balance70- modal_epistemic_analysis.md – Uncertainty and perspective nuance71- readability_analysis.md – Density and comprehension calibration72- formulaic_pattern_analysis.md – Template disruption73- burstiness_analysis.md – Controlled stylistic surprise74- character_voice_analysis.md – Voice differentiation and consistency75- emotional_intensity_analysis.md – Sensory and emotional grounding76- metaphor_analysis.md – Figurative language and cliché replacement77- consistency_check.md – Continuity and tone cohesion78- final_analysis.md – Publication-readiness validation7980## Key Features8182- **Neutral and Genre-Agnostic** – Works with any narrative length, genre, tense, or POV83- **No Metadata Required** – Auto-derives context from the source text alone84- **Systematic and Thorough** – 16 sequential tasks covering linguistic, structural, and stylistic dimensions85- **Voice-Preserving** – Enhances authenticity without flattening character or narrative style86- **Agent-Ready** – Designed for autonomous execution with clear inputs and outputs87- **Iterative-Friendly** – Allows refinement and rollback between phases8889## Example Workflow9091**Input:** An unpublished 5,000-word short story with some AI-assisted passages9293**Processing:**941. Extract 4 characters, 3 locations, present tense, third-person limited POV952. Scan vocabulary against overuse clusters; flag 12 repetition hotspots963. Analyze sentence rhythms; identify 3 formulaic openings and 5 SVO patterns974. Review emotional intensity; add sensory grounding to 4 climactic moments985. Check voice consistency across 4 POV sections; differentiate narrator tone996. Verify all changes integrate; confirm readability metrics match intent100101**Output:** Revised manuscript + detailed report addressing each of 16 task categories102103## Tips for Best Results104105- Provide the full narrative context (chapters, scenes, backstory references) for most accurate analysis106- Allow the skill to complete all 6 phases before drawing conclusions107- Review and selectively accept recommendations; preserve intentional stylistic choices108- Use the "Ready with tweaks" verdict to identify areas for human refinement109- Keep pre-edit snapshots for comparison and rollback110111## Technical Details112113The skill includes a Python orchestration script (`scripts/aiproof_runner.py`) that helps sequence tasks and manage outputs if running via automation.114115Protocol files reference each other; the skill maintains cross-references so you can jump to relevant analyses.116117---118119**Version:** 1.0120**Status:** Production Ready121**Last Updated:** 2025-12-20
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