ieee-writer

ieee-writer

Translate, polish, restructure, and validate academic papers for IEEE publications. Strict adherence to IEEE style, academic tone, and formatting rules.

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Atualizado 1/22/2026
SKILL.md
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name
ieee-writer
description

Translate, polish, restructure, and validate academic papers for IEEE publications. Strict adherence to IEEE style, academic tone, and formatting rules.

version
1.0

IEEE Writing Assistant

Expert assistance for drafting, refining, and validating IEEE conference and transaction papers.

Capabilities

  1. Translation (CN <-> EN): Accurate academic translation preserving LaTeX/Typst syntax and terminology.
  2. Polishing: Enhancing grammar, flow, and "Academic Tone" (removing subjective/informal language).
  3. Restructuring: Optimizing logical flow, paragraph organization, and argument strength.
  4. Validation: Automated checks for structure, abstract length, and forbidden words.

Instructions

1. Identify the Task

Determine if the user wants to Translate, Polish, Restructure, or Validate.

2. Apply Guidelines (Layer 2)

For ALL tasks, strictly adhere to resources/GUIDELINES.md.

  • Tone Guard: Aggressively replace "very", "amazing", "I think", etc.
  • Voice: Prefer impersonal active voice ("The system performs...") or passive voice over first-person ("I").

3. Execution Rules

🔤 Translation

  • Maintain strict terminology consistency.
  • Preserve all LaTeX commands (\cite{}, \ref{}).
  • Output pure text/code block, no conversational filler.

✨ Polishing

  • Focus on clarity and conciseness.
  • Restricted: Do NOT change the technical meaning.
  • Provide a "Diff" or summary of major changes if requested.

🏗️ Restructuring

  • Analyze the logical flow.
  • Suggest splitting long paragraphs.
  • Ensure "Introduction" covers Contribution clearly.

✅ Validation (Script)

If the user provides a file path or asks for a format check:

  1. Run the validation script:
    python skills/IEEE-writing-skills/scripts/check_structure.py "path/to/paper.txt"
    
  2. Report issues found in the JSON output.
  3. Offer to fix the "Forbidden Words" automatically.

Example Usage

User: "Polish this abstract."
Action: Read resources/GUIDELINES.md, check word count (mentally or via script if file), rewrite removing "very" and "good", ensure 150-250 words.

User: "Check my paper format."
Action: Run check_structure.py.

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