Making Files Clearer
A systematic approach to transforming verbose, redundant, or disorganized files into clear, concise, essential-only content.
Core Principles
1. Ruthless Elimination
- •Remove redundancy: Delete duplicate information, repeated explanations, and overlapping content
- •Cut fluff: Eliminate unnecessary adjectives, hedging language, and verbose phrasing
- •Strip decorative elements: Remove ASCII art, excessive formatting, and visual noise unless they serve a functional purpose
2. Essential Information Only
- •Keep what matters: Retain only information that directly serves the file's purpose
- •Question every line: Ask "Does removing this change understanding?" If no, remove it
- •Preserve accuracy: Never sacrifice correctness for brevity
3. Strategic Examples
- •Examples add clarity when:
- •Concept is abstract or counterintuitive
- •Multiple valid interpretations exist
- •Common mistakes need illustration
- •Examples are unnecessary when:
- •Concept is self-evident
- •They merely repeat what's already clear
- •They're "nice to have" but not essential
4. Logical Organization
- •Group related content: Cluster similar topics together
- •Progressive structure: Simple concepts before complex ones
- •Clear hierarchy: Use headings to show relationships
- •Scannable format: Readers should find information quickly
Workflow
Step 1: Create Backup
cp original.md original.md.backup
Step 2: Analyze Current State
- •Read the entire file
- •Identify the file's core purpose
- •List essential information categories
- •Note redundant sections, fluff, and organizational issues
Step 3: Create Clarity Plan
Before editing, outline:
- •What to keep (essential information)
- •What to remove (redundancy, fluff)
- •How to reorganize (new structure)
- •Where examples add value
Step 4: Execute Transformation
Apply changes systematically:
- •Remove: Delete redundant and unnecessary content
- •Reorganize: Restructure for logical flow
- •Clarify: Rewrite unclear sections concisely
- •Validate: Ensure no essential information lost
Step 5: Present Changes for Review
Show the user:
- •Summary of what changed
- •Before/after comparison
- •Ask for confirmation
Step 6: Finalize
After user confirms:
rm original.md.backup
If user rejects changes:
mv original.md.backup original.md
Common Clarity Anti-Patterns
Redundancy
❌ Bad: Explaining the same concept multiple times in different words ✅ Good: One clear explanation, possibly with a targeted example
Unnecessary Examples
❌ Bad: "For instance, if you have a variable x = 5, that's an example of setting a variable"
✅ Good: "Variables store values: x = 5"
Verbose Phrasing
❌ Bad: "It is important to note that you should always make sure to..." ✅ Good: "Always..."
Over-Documentation
❌ Bad: Documenting every obvious step ✅ Good: Documenting non-obvious behavior and gotchas
Poor Organization
❌ Bad: Random topic ordering, nested sections with unclear purpose ✅ Good: Logical grouping, clear hierarchy, scannable headings
Output Format
When making a file clearer:
- •
Show before/after comparison (if file is small enough):
codeOriginal: 250 lines, 15 sections, 30% redundancy Revised: 120 lines, 8 sections, focused content
- •
Summarize changes:
- •What was removed and why
- •How content was reorganized
- •Where examples were added/removed
- •
Present the clarified content: Use Edit tool to update the file
- •
Validate: Confirm all essential information preserved
Edge Cases
- •Technical documentation: Preserve all technical accuracy; brevity should never compromise correctness
- •Legal/compliance files: Consult before removing anything that might be required
- •Tutorials: Examples are often essential; keep those that teach, remove those that just show off
- •Configuration files: Comments may seem verbose but often prevent errors; keep contextual comments
Success Criteria
A file is clearer when:
- •A first-time reader understands it faster
- •Information is findable without scrolling/searching extensively
- •No questions arise from ambiguity or missing context
- •The file can be maintained more easily
- •Essential information density is maximized