Layman – ASD-STE100 Text Simplifier Skill
Simplify verbose, complex, or jargon-heavy text into clear, unambiguous, layperson-friendly English strictly following ASD-STE100 (Simplified Technical English) specification rules and controlled vocabulary.
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Layman - simplify verbose, complex, or jargon-heavy text into clear, unambiguous, layperson-friendly English
1. Overview & Purpose
The layman skill converts verbose, overly complex, academic, legal, or technical text into clear, easy-to-understand English by applying the international standard ASD-STE100 (Simplified Technical English).
ASD-STE100 eliminates ambiguity, reduces cognitive load, and improves readability for non-experts, non-native English speakers, and general audiences by enforcing strict controlled vocabulary, active voice, simple verb tenses, short sentences, and structured paragraphs.
2. When to Use
Invoke this skill when the user requests:
- "Simplify this text" or "Explain this in layman's terms"
- "Rewrite this document using ASD-STE100 / Simplified Technical English"
- "De-jargonize this technical, legal, or corporate document"
- "Make this manual / guide / article easy to read for beginners"
3. Input Requirements
Before executing the simplification process, identify or collect:
- Source Text: The original text, paragraph, file path, or document provided by the user.
- Text Mode (Default:
descriptive):procedural: Step-by-step instructions, standard operating procedures, guides (Max 20 words/sentence).descriptive: Explanations, overview, concepts, background information (Max 25 words/sentence).
- Audience / Technical Context: Any specific domain terms (Technical Names) that should be preserved for accuracy (e.g., specific software names, machine model numbers).
- Verbosity Mode (Default:
standard):standard: Output only the simplified text.verbose(triggered by--verboseor requesting "verbose"): Output simplified text along with Key Rule Adjustments (Section 2) and Audit Metrics Summary (Section 3).
4. Step-by-Step Execution Workflow
Follow this deterministic sequence of steps:
-
Analyze Source Text & Classify Mode:
- Determine whether the text is procedural (instructions) or descriptive (explanations).
- Identify domain-specific nouns (Technical Names) to preserve.
-
Execute ASD-STE100 Audit Script:
- Write the input text to a temporary scratch file or pass it to
./scripts/ste_checker.py. - Run:
python3 ./scripts/ste_checker.py --mode <procedural|descriptive> <input_file> - Review the output report for sentence length violations, unapproved words, passive voice, and paragraph density.
- Write the input text to a temporary scratch file or pass it to
-
Apply ASD-STE100 Writing Rules:
- Sentence Length: Break sentences into single-idea statements <= 20 words (procedural) or <= 25 words (descriptive).
- Vocabulary Control: Consult
./references/asd-ste100-dictionary.md. Replace verbose terms (utilize->use,in order to->to,prior to->before,commence->start). - Active Voice: Convert passive constructions into active voice ("The button is pushed" -> "Push the button").
- Condition First: Move conditional clauses to the beginning ("If X occurs, do Y").
- Noun Clusters: Break long noun chains into maximum 3 consecutive nouns.
- Paragraph Limit: Keep paragraphs to 6 sentences or fewer.
-
Validate Transformed Text:
- Re-run
./scripts/ste_checker.pyon the transformed output to ensure zero rule violations. - Cross-check against
./resources/ste_rule_checklist.md.
- Re-run
-
Format & Deliver Output:
- Present the output using the format defined in
./resources/output_template.md.
- Present the output using the format defined in
5. Helper Scripts & Automation
This skill includes an automated Python auditing tool in ./scripts/ste_checker.py:
System Prompt Payload# Analyze descriptive text file python3 ./scripts/ste_checker.py --mode descriptive path/to/text.txt # Analyze procedural text file python3 ./scripts/ste_checker.py --mode procedural path/to/steps.txt # Output JSON analysis python3 ./scripts/ste_checker.py --json path/to/text.txt
The script checks word counts, sentence lengths, paragraph counts, passive voice patterns, and flags non-approved STE words.
6. Output Specifications
The final output MUST follow the layout in ./resources/output_template.md:
- Default Mode: Output only the simplified text (clean, plain English rewritten to ASD-STE100 standard). Do not include Sections 2 or 3.
- Verbose Mode (when user includes
verboseor--verbose): Include:- Simplified Text: Clean, plain English rewritten to ASD-STE100 standard.
- Key Rule Adjustments & Substitutions: A table summarizing major word/phrase substitutions and sentence restructuring.
- ASD-STE100 Audit & Metrics Summary: Before vs. after statistics (word count reduction percentage, sentence length averages, compliance checks).
7. Error Handling & Edge Cases
- Ambiguous Original Text: If the original text is so vague or poorly written that its intent cannot be determined, state the ambiguity clearly and provide the two most logical simplified interpretations.
- Strict Domain Terminology: Do not replace critical legal or specialized industry terms if doing so alters legal compliance or engineering safety. Treat them as approved Technical Names (TNs) as permitted under ASD-STE100 Rule 1.4.
- Short Texts (< 20 words): Skip statistical comparison tables for single short sentences; provide direct simplification and a quick breakdown of changes.
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