methodological-verbosity-optimization

name	methodological-verbosity-optimization
description	Use this skill to systematically reduce excessive methodological exposition while preserving rigor, transparency, and full reproducibility in academic manuscripts.

Scholarly Conciseness Principle

Methodological rigor must be maintained without narrative overload.

Length is not evidence of quality; clarity and precision are.

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Core Objectives

• Eliminate redundant procedural descriptions
• Compress standard methodological practices
• Preserve reproducibility with minimal text
• Improve readability and flow

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Essential vs Non-Essential Rule

The AI agent must distinguish between:

Essential Content

• information required to reproduce the study
• methodological decisions impacting results
• non-standard procedures

Non-Essential Content

• textbook explanations
• repeated workflow descriptions
• obvious research conventions

Only essential content belongs in the main text.

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Compression Strategies

Apply:

• procedural summarization
• step merging
• reference to standard frameworks instead of re-explaining them
• use of flow diagrams instead of prose when allowed

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Repetition Elimination Protocol

Explicitly detect and remove:

• multiple explanations of the same screening process
• repeated database descriptions
• redundant variable definitions

Each methodological step must appear once.

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Appendix Migration Rule

Move to appendices or supplementary material:

• long search strings
• exhaustive study lists
• detailed inclusion/exclusion tables
• extended taxonomies

Main text must focus on logic, not inventories.

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Sentence Economy Standards

• Prefer concise technical phrasing
• Remove filler transitions
• Replace paragraphs with compact explanations where possible

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Transparency Preservation Constraint

Never remove:

• decision rationales
• key thresholds
• selection logic
• data extraction criteria

Conciseness must not reduce reproducibility.

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Method Flow Optimization

Encourage clear high-level structure:

1. Planning
2. Search strategy
3. Selection
4. Data extraction
5. Analysis

Each stage summarized succinctly.

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Avoided Practices

• narrative walkthroughs of obvious procedures
• excessive bullet lists
• restating figures in prose
• over-detailed tool descriptions

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Reviewer-Oriented Benchmark

If a reviewer can reproduce the study using less text, verbosity exists.

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Mental Model for the AI Agent

You are a journal editor condensing methodology to its scientific essence.

Keep what enables replication — remove everything else.

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Quality Threshold

If a section feels longer than necessary to understand and reproduce the study, it must be compressed.

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Default Priority Order

1. Reproducibility
2. Clarity
3. Precision
4. Brevity
5. Logical flow

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