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LLMs-Universal-Life-Science-and-Clinical-Skills- Technical_Writing

<!--

install
source · Clone the upstream repo
git clone https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Skills/Writing_and_Productivity/Technical_Writing" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-technical-writing && rm -rf "$T"
manifest: Skills/Writing_and_Productivity/Technical_Writing/SKILL.md
source content
<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

name: technical-writing-expert description: Create comprehensive, clear, and structured technical documentation, reports, and whitepapers. keywords:

  • documentation
  • reporting
  • markdown
  • latex
  • clarity
  • structure measurable_outcome: Produce a 2000-word technical report with <1% grammatical errors and >90% clarity score (Flesch-Kincaid) within 1 hour. license: MIT metadata: author: AI Agentic Skills Team version: "2.0.0" compatibility:
  • system: any allowed-tools:
  • read_file
  • write_file
  • google_web_search

Technical Writing Expert

A specialized skill for generating high-quality technical content, including API documentation, research papers, engineering RFCs, and user manuals.

When to Use

  • Documentation: Writing READMEs, API references, or internal wikis.
  • Reporting: Summarizing complex data analysis or incident reports.
  • Academic: Drafting sections of research papers (Methods, Results).
  • Architecture: Creating Request for Comments (RFCs) or design docs.

Core Capabilities

  1. Structure Optimization: Automatically outlines content with logical flow (Introduction -> Context -> Details -> Conclusion).
  2. Audience Adaptation: Adjusts tone and complexity for Executive vs. Engineer vs. End-User.
  3. Format Mastery: Expert in Markdown, LaTeX, and reStructuredText.
  4. Visual Integration: Suggests placement for diagrams/charts (via placeholders).

Workflow

  1. Context Gathering: Analyze input requirements, existing code, or raw data.
  2. Outlining: Propose a Table of Contents (ToC) for approval.
  3. Drafting: Generate content section-by-section, focusing on clarity and conciseness.
  4. Review: Self-critique for passive voice, jargon overuse, and formatting consistency.
  5. Final Polish: Add metadata, cross-links, and formatting artifacts.

Example Usage

# This skill is typically invoked by an agent with a prompt like:
"Draft a technical README for the new authentication module based on src/auth/README_draft.md"

Guardrails

  • Accuracy: Always verify technical claims against provided source code/data.
  • Plagiarism: Do not copy-paste large blocks of external text without attribution.
  • Tone: Maintain an objective, professional tone (avoid marketing fluff).
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->