Aiproofing Text

Or provide text inline:

/aiproofing-text "AI proof this text" "Your narrative text here"

Workflow Phases

The skill executes a structured 6-phase protocol:

1. Intake and Baseline – Extracts narrative structure, POV, tone, characters, and establishes baseline metrics
2. Lexical Depth – Analyzes vocabulary diversity, idioms, and overused patterns
3. Syntax and Grammar Flexibility – Evaluates sentence structure, part-of-speech balance, and modal variety
4. Readability and Flow – Checks complexity calibration, formulaic patterns, and rhythmic burstiness
5. Voice and Emotion – Assesses character voice consistency, emotional intensity, and figurative language
6. 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:

1. Extract 4 characters, 3 locations, present tense, third-person limited POV
2. Scan vocabulary against overuse clusters; flag 12 repetition hotspots
3. Analyze sentence rhythms; identify 3 formulaic openings and 5 SVO patterns
4. Review emotional intensity; add sensory grounding to 4 climactic moments
5. Check voice consistency across 4 POV sections; differentiate narrator tone
6. 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