AgentSkillsCN

g2

VS 增强版学术传播者——以受众导向的沟通方式,有效防止模式坍缩。 轻量化 VS 应用:摒弃模板化的写作套路,转而根据受众需求定制信息表达。 适用场景:撰写摘要、制作研究简报、面向不同受众传递研究成果。 触发条件:摘要、平实语言、新闻稿、研究综述、大众受众、传播沟通。

SKILL.md
--- frontmatter
name: g2
description: |
  VS-Enhanced Academic Communicator - Prevents Mode Collapse with audience-tailored communication
  Light VS applied: Avoids template-based writing + audience-specific message design
  Use when: writing abstracts, creating summaries, communicating research to different audiences
  Triggers: abstract, plain language, press release, summary, general audience, communication
version: "8.0.1"

Academic Communicator

Agent ID: 18 Category: E - Publication & Communication VS Level: Light (Modal awareness) Tier: Support 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:

AudienceModal 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

  1. Academic Abstract Writing

    • Structured abstract (IMRAD)
    • Unstructured abstract
    • Graphical abstract concept
  2. Plain Language Summary

    • Non-specialist explanation
    • Remove technical jargon
    • Emphasize real-life relevance
  3. Media Materials

    • Press releases
    • Interview Q&A
    • Infographic concepts
  4. Social Media Content

    • Twitter/X threads
    • LinkedIn posts
    • Instagram captions
  5. Presentation Materials

    • Elevator pitch
    • Poster summary
    • 3MT (3 Minute Thesis)

Audience-Specific Strategies

AudienceCharacteristicsStrategy
Fellow researchersExpert knowledgeTechnical terms, detailed methodology
PolicymakersPractical interestEmphasize implications, recommendations
Practitioners/fieldApplication interestPractical implications
General publicLimited backgroundSimple terms, metaphors, everyday context
MediaNews valueNovelty, impact, quotes
StudentsLearning purposeEducational value, examples

Input Requirements

yaml
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

markdown
## 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**:

┌─────────────────────────────────────────┐ │ [Research title (brief)] │ ├─────────────────────────────────────────┤ │ │ │ [Research question] │ │ ↓ │ │ [Methods icon/diagram] │ │ ↓ │ │ [Core results visualization] │ │ ↓ │ │ [Conclusion/implications] │ │ │ ├─────────────────────────────────────────┤ │ [Author] | [Journal] | [DOI] │ └─────────────────────────────────────────┘

code

**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

code
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

  1. Avoid jargon: Use everyday language instead
  2. Use metaphors: Explain with familiar concepts
  3. Specific examples: Concretize abstract concepts
  4. Use active voice: More direct than passive
  5. 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:

code
┌─────────────────────────────────────────────────────────────┐
│  📝 Content Generated                                       │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  G2 Output: [Abstract / Summary / Press Release / etc.]    │
│                                                             │
│  AI Pattern Analysis:                                       │
│  • Patterns detected: 12                                    │
│  • AI probability: ~55%                                     │
│  • High-risk: 3  Medium: 6  Low: 3                         │
│                                                             │
│  🟠 CHECKPOINT: CP_HUMANIZATION_REVIEW                      │
│                                                             │
│  Would you like to humanize before export?                  │
│                                                             │
│  [A] Humanize (Conservative)                                │
│  [B] Humanize (Balanced) ⭐ Recommended                     │
│  [C] Humanize (Aggressive)                                  │
│  [D] View detailed report                                   │
│  [E] Keep original                                          │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Commands with Humanization

code
"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 TypeRecommended ModeRationale
Academic AbstractConservativePreserve scholarly precision
Plain Language SummaryBalancedNatural but accurate
Press ReleaseBalancedProfessional yet accessible
Twitter/X ThreadAggressiveMaximum naturalness
LinkedIn PostBalancedProfessional tone
Elevator PitchAggressiveConversational style

Workflow Integration

yaml
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"

Related Agents

  • G1-JournalMatcher: Select submission journal
  • A2-TheoreticalFrameworkArchitect: Clarify theoretical contribution
  • G3-PeerReviewStrategist: Respond to reviewers
  • G5-AcademicStyleAuditor: Analyze AI patterns in G2 output
  • G6-AcademicStyleHumanizer: Transform G2 output
  • F5-HumanizationVerifier: Verify transformation quality

References

  • VS Engine v3.0: ../../research-coordinator/core/vs-engine.md
  • Dynamic T-Score: ../../research-coordinator/core/t-score-dynamic.md
  • Creativity Mechanisms: ../../research-coordinator/references/creativity-mechanisms.md
  • Project State v4.0: ../../research-coordinator/core/project-state.md
  • Pipeline Templates v4.0: ../../research-coordinator/core/pipeline-templates.md
  • Integration Hub v4.0: ../../research-coordinator/core/integration-hub.md
  • Guided Wizard v4.0: ../../research-coordinator/core/guided-wizard.md
  • Auto-Documentation v4.0: ../../research-coordinator/core/auto-documentation.md
  • Duke & Bennett (2010). Plain Language Summary Guidelines
  • Nature: Writing for a General Audience
  • Olson, R. (2015). Houston, We Have a Narrative