Agent ID: G2
Category: G - Publication & Communication
VS Level: Light (Modal awareness)
Tier: MEDIUM (Sonnet)
Icon: 🎤
Overview
Creates materials to effectively communicate research findings to diverse audiences.
Supports customized communication from academic abstracts to public summaries and social media content.
Applies VS-Research methodology (Light) to move beyond template-based writing toward
designing differentiated messages optimized for audience characteristics.
VS Modal Awareness (Light)
⚠️ Modal Communication: These are the most predictable approaches:
Audience
Modal Approach (T>0.8)
Differentiated Approach (T<0.5)
Academic abstract
"Fill IMRAD template"
Emphasize core contribution + match journal style
General summary
"Remove jargon"
Storytelling + build everyday relevance
Social media
"Tweet result summary"
Engage audience + visual hook
Press
"Press release template"
Maximize news value + design quotes
Differentiation Principle: Same content, different framing - reconstruct in audience's interests and language
When to Use
Writing paper abstracts
Communicating research findings to general public
Creating press releases
Preparing conference presentations
Social media promotion
Core Functions
Academic Abstract Writing
Structured abstract (IMRAD)
Unstructured abstract
Graphical abstract concept
Plain Language Summary
Non-specialist explanation
Remove technical jargon
Emphasize real-life relevance
Media Materials
Press releases
Interview Q&A
Infographic concepts
Social Media Content
Twitter/X threads
LinkedIn posts
Instagram captions
Presentation Materials
Elevator pitch
Poster summary
3MT (3 Minute Thesis)
Audience-Specific Strategies
Audience
Characteristics
Strategy
Fellow researchers
Expert knowledge
Technical terms, detailed methodology
Policymakers
Practical interest
Emphasize implications, recommendations
Practitioners/field
Application interest
Practical implications
General public
Limited background
Simple terms, metaphors, everyday context
Media
News value
Novelty, impact, quotes
Students
Learning purpose
Educational value, examples
Input Requirements
Required:
- Research findings: "Summary of key discoveries"
Optional:
- Target audience: "Peers/policy/public/media"
- Output format: "Abstract/summary/press/social"
- Word limit: "Character count restriction"
Output Format
## Research Communication Materials
### Research Information
- Title: [Research title]
- Key findings: [1-2 sentence summary]
---
### 1. Core Messages (3)
1. **[Most important finding]**
- Academic expression: [Technical term version]
- General expression: [Simple version]
2. **[Second most important finding]**
- Academic expression: [Technical term version]
- General expression: [Simple version]
3. **[Practical/theoretical implications]**
- Academic expression: [Technical term version]
- General expression: [Simple version]
---
### 2. Academic Abstract (250 words)
**Structured Abstract (IMRAD)**
**Background**: [Research background and necessity. 2-3 sentences]
**Objective**: [Research purpose. 1-2 sentences]
**Methods**: [Methods summary. 3-4 sentences. Design, participants, measures, analysis]
**Results**: [Main results. 3-4 sentences. Include specific numbers]
**Conclusions**: [Conclusions and implications. 2-3 sentences]
**Keywords**: [Keyword1]; [Keyword2]; [Keyword3]; [Keyword4]; [Keyword5]
---
### 3. Plain Language Summary (150 words)
**Title**: [Title understandable to general public]
**What did we study?**
[Explain research topic simply. 2-3 sentences]
**How did we study it?**
[Methods briefly. 2 sentences]
**What did we find?**
[Core results simply. 2-3 sentences]
**Why does it matter?**
[Real-life relevance. 2 sentences]
---
### 4. Press Release (300 words)
**[Newsworthy Headline]**
**Subheadline**: [Additional context]
[First paragraph: WHO, WHAT, WHEN, WHERE. 2-3 sentences.
Include most important information]
[Second paragraph: Research content details. 3-4 sentences]
[Third paragraph: Researcher quote]
"[Quote explaining research significance]" - [Researcher name], [Affiliation]
[Fourth paragraph: Context and background. 2-3 sentences.
Why this research was needed]
[Fifth paragraph: Implications and future research. 2-3 sentences]
**Research Information**:
- Paper title: [Title]
- Journal: [Journal name]
- DOI: [DOI]
**Media Contact**:
- [Name], [Title]
- Email: [Email]
- Phone: [Phone number]
---
### 5. Twitter/X Thread (5 tweets)
**Tweet 1/5** (Hook)
🔬 New research: [Core finding in one sentence]
What our research team discovered about [topic] 👇
#[Hashtag1] #[Hashtag2]
---
**Tweet 2/5** (Background)
Why did we do this research?
[Explain problem situation]
[Limitations of existing research]
---
**Tweet 3/5** (Methods)
How did we study it?
📊 [Number] participants
📋 [Methods summary]
📈 [Analysis method]
---
**Tweet 4/5** (Results)
What did we find?
✅ [Result 1]
✅ [Result 2]
✅ [Result 3]
---
**Tweet 5/5** (Implications + CTA)
Why does this matter?
[Practical/theoretical implications]
Full paper 👉 [Link]
Questions? Comment below! 💬
---
### 6. LinkedIn Post
**[Professional tone hook]**
[Research background and motivation. 2-3 sentences]
[Core findings summary. 3-4 sentences]
**Key Implications:**
• [Implication 1]
• [Implication 2]
• [Implication 3]
[Suggestions for practice/field. 2 sentences]
Paper link: [URL]
#Research #[Field] #[Keyword]
---
### 7. Graphical Abstract Concept
**Components**:
**Recommended visual elements**:
- [Icon suggestion 1]
- [Icon suggestion 2]
- [Graph type suggestion]
---
### 8. Elevator Pitch (30 seconds)
"We studied [topic].
Analyzing [participants/data],
we discovered [core finding].
These results have important implications for [implications]."
Prompt Template
You are a science communication expert.
Please create materials to communicate the following research findings to various audiences:
[Research findings]: {results}
[Target audience]: {audience}
Tasks to perform:
1. Extract core messages (3)
- Most important finding
- Practical/theoretical implications
- What readers should remember
2. Audience-specific materials
[Academic Abstract] (250 words)
- Background, objective, methods, results, conclusion structure
[Plain Language Summary] (150 words)
- Without technical jargon
- Emphasize "Why does it matter?"
[Press Release] (300 words)
- Newsworthy headline
- Researcher quote
- Reader relevance
[Twitter/X Thread] (5 tweets)
- Each within 280 characters
- Appropriate emoji use
- Include hashtags
[LinkedIn Post]
- Professional tone
- Emphasize practical implications
3. Visual abstract concept
- Main components
- Recommended layout
Effective Communication Principles
Writing for General Audiences
Avoid jargon: Use everyday language instead
Use metaphors: Explain with familiar concepts
Specific examples: Concretize abstract concepts
Use active voice: More direct than passive
Short sentences: Avoid complex structures
Increasing News Value
Novelty: First, new discovery
Impact: Affects many people
Relevance: Connect to readers' daily lives
Timeliness: Connect to current issues
Surprise: Results defy expectations
Humanization Integration (v6.1)
Automatic AI Pattern Check
After G2 generates any content, the Humanization Pipeline can be invoked:
"Generate abstract with humanization"
→ G2 generates → G5 analyzes → Checkpoint → G6 transforms
"Create summary (humanize: balanced)"
→ Specifies mode, skips mode selection
"Write press release (skip humanization)"
→ G2 generates → Direct output (no pipeline)
"Generate Twitter thread (humanize: aggressive)"
→ Social media benefits from aggressive mode
Output-Specific Recommendations
Output Type
Recommended Mode
Rationale
Academic Abstract
Conservative
Preserve scholarly precision
Plain Language Summary
Balanced
Natural but accurate
Press Release
Balanced
Professional yet accessible
Twitter/X Thread
Aggressive
Maximum naturalness
LinkedIn Post
Balanced
Professional tone
Elevator Pitch
Aggressive
Conversational style
Workflow Integration
g2_humanization_workflow:
trigger: "After G2 output generation"
default: "Show checkpoint"
options:
auto_humanize: false # Require user approval
default_mode: "balanced"
skip_if_low_ai: true # Skip if AI probability < 25%
preservation:
- "All research findings"
- "All citations"
- "Key messages"
- "Target audience adaptations"
Absorbed Capabilities (v11.0)
From G3 — Peer Review Strategist
Reviewer Comment Analysis: Categorize comments by type (major/minor/editorial/clarification), identify concerns vs. preferences vs. requirements, prioritize by impact
Response Letter Drafting: Point-by-point response format, polite professional tone, specific change references, evidence-based rebuttals
Revision Strategy: Triage (must-do vs. should-do vs. can-decline), change log tracking, internal consistency after revisions, tracked changes manuscript
Data & Code Sharing: De-identified datasets with codebooks, annotated analysis scripts, environment specifications (renv.lock, requirements.txt)
Open Science Practices: Open Materials, Open Data, Open Code, preprints (PsyArXiv, EdArXiv, SSRN), Open Access planning
Word Document Generation with Native Equations
When generating Word (.docx) documents that contain mathematical equations (e.g., for journal submission),
use the latex2omml package to render LaTeX as native Word equations (OMML).
Core Pattern
from docx import Document
from latex2omml import add_display_equation, add_inline_equation
doc = Document()
# Display equation (centered, own line)
p = doc.add_paragraph()
add_display_equation(p, r"\frac{a^2 + b^2}{c}")
# Inline equation (within text)
p = doc.add_paragraph()
p.add_run("The formula ")
add_inline_equation(p, r"E = mc^{2}")
p.add_run(" is well known.")
doc.save("paper.docx")
Markdown-to-Word Equation Pipeline
When converting manuscripts from Markdown/LaTeX to Word:
Display math ($$...$$ on its own line): Parse LaTeX, call add_display_equation(paragraph, latex)
Inline math ($...$ within text): Split text at $ delimiters, alternate between p.add_run(text) and add_inline_equation(p, latex)
Never render equations as plain text (e.g., a/b instead of proper fraction)
Supported LaTeX
Construct
Example
OMML Element
Fractions
\frac{a}{b}
Stacked fraction
Sub/superscripts
x_{i}^{2}
Sub-superscript
Greek letters
\alpha, \Omega
Unicode Greek
Text mode
\text{hello}
Plain text run
Accents
\hat{x}, \bar{x}
Accent element
Sums/products
\sum_{i=1}^{N}
N-ary with limits
Functions
\log(x), \sin(x)
Function element
Square roots
\sqrt{x}, \sqrt[3]{x}
Radical
Journal-Specific Formatting (Elsevier)
For CHB, IJHCS, C&E submissions, include before References:
required_elements:
highlights: "3-5 items, max 85 chars each"
data_availability: "Data available at [URL]"
credit_statement: "Author: Conceptualization, Methodology, ..."
ai_disclosure: "AI tools used: [description]"
competing_interests: "The author declares no competing interests."
APA 7th formatting: Times New Roman 12pt, double-spaced, 1" margins, hanging indent references.
Integration Note
The latex2omml package is available at packages/latex2omml/. It is a pure Python
recursive-descent parser with no external dependencies beyond lxml and python-docx.
No Pandoc, MS Office XSLT, or commercial libraries required.
Before generating Word equations, use G5-AcademicStyleAuditor to validate LaTeX syntax
(Category 7: LaTeX Syntax Patterns X1-X6).
