name: research-report description: Create in-depth research reports on AI safety topics. Use when asked to research a topic, investigate a question, or prepare documentation for diagram creation. allowed-tools: Read, Edit, Write, Grep, Glob, WebSearch, WebFetch, Task
Research Report Creation
Create comprehensive research reports that investigate AI safety topics and identify causal factors for diagram creation.
When to Use This Skill
- User asks to "research [topic]" or "investigate [topic]"
- User wants a deep dive into a knowledge-base topic
- Preparing groundwork for a cause-effect diagram
- Filling in gaps in existing documentation
Report File Location
Save reports to: src/content/docs/internal/research-reports/{topic-id}.mdx
Frontmatter Schema
---
title: "[Topic]: Research Report"
description: "One-sentence summary of key findings with specifics."
topic: "[entity-id]" # Links to knowledge-base or transition-model item
createdAt: YYYY-MM-DD # Date without quotes (YAML date type)
lastUpdated: YYYY-MM-DD # Date without quotes (YAML date type)
researchDepth: "standard" # quick | standard | comprehensive
sources: ["web", "codebase"] # What sources were consulted
quality: 3 # 1-5 quality rating
sidebar:
order: 10
---
Formatting Guidelines
Follow the Knowledge Base Style Guide for general formatting principles:
Use Tables Over Bullet Lists
Bad (low density):
**Factor Name**
- Direction: Increases → topic
- Type: leaf
- Evidence: Some evidence
- Confidence: high
Good (table format):
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **Factor Name** | ↑ Topic | leaf | Some evidence | High |
Use Callouts/Asides Liberally
Add <Aside> components to highlight key insights, caveats, and implications:
import { Aside } from '@astrojs/starlight/components';
<Aside type="tip" title="Why This Matters">
Key insight about safety implications.
</Aside>
<Aside type="caution" title="Limitation">
Important caveat about the data.
</Aside>
<Aside type="note" title="Data Source">
Methodological note about how data was collected.
</Aside>
Escape Dollar Signs
Currency values MUST be escaped to avoid LaTeX rendering:
Wrong: $100,000 (renders as LaTeX)
Right: \$100,000 (renders as text)
Also escape in frontmatter description:
description: "H-1B fees increased to \\$100K"
Use Horizontal Rules
Separate major sections with --- for visual clarity.
Required Sections
1. Executive Summary (TABLE FORMAT)
Use a table, not bullets:
| Finding | Key Data | Implication |
|---------|----------|-------------|
| **US dominance** | 57% of top researchers | US remains primary hub |
| **Policy risk** | \$100K H-1B fee | May accelerate brain drain |
2. Background
Why this topic matters, context, and relationship to AI safety. Include an Aside about safety implications.
3. Key Findings
Main research results organized by theme. Each finding should:
- Have a clear heading
- Include specific claims with citations
- Use tables for structured comparisons
- Include Asides for important caveats
4. Causal Factors (TABLE FORMAT - Critical for Diagrams)
Use tables to present factors clearly:
## Causal Factors
### Primary Factors (Strong Influence)
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **Immigration Policy** | ↑↓ Concentration | leaf | 80% retention depends on visas | High |
| **Research Ecosystem** | ↑ Concentration | cause | 60% of top institutions in US | High |
### Secondary Factors (Medium Influence)
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **Graduate Programs** | ↑ Concentration | cause | 80% of students stay | Medium |
### Minor Factors (Weak Influence)
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **Nationalist Sentiment** | ↓ Mobility | leaf | Limited evidence | Low |
5. Open Questions (TABLE FORMAT)
| Question | Why It Matters | Current State |
|----------|----------------|---------------|
| **Will fees persist?** | Changes startup economics | May face legal challenge |
6. Sources
Organized by type: Academic, Government, Industry, Journalism.
Validation Checklist
Before saving the report, verify:
- Dollar signs escaped: All
$replaced with\$ - Dates unquoted:
createdAt: 2025-01-07not"2025-01-07" - Tables used: Causal factors and open questions in table format
- Asides included: At least 3-4 callouts highlighting key insights
- Sources organized: By type with brief annotations
- Links valid: All URLs work
Run validation after saving:
npm run validate:mdx
npm run validate:dollars
Research Process
Step 1: Load Context
Before web research, read existing codebase content:
- Read the target entity page (if exists)
- Read related pages (check backlinks)
- For transition-model topics, read the model overview
- Note gaps in existing coverage
Step 2: AI Transition Model Context
For transition-model topics, understand how the topic connects to:
- Factors: AI Capabilities, AI Ownership, AI Uses, Misalignment/Misuse Potential, Civilizational Competence, Transition Turbulence
- Scenarios: AI Takeover, Human Catastrophe, Long-term Lock-in
- Outcomes: Human Extinction, Civilizational Collapse, Recovery, Flourishing
Step 3: Web Research
Search strategy:
- Academic sources:
"[topic]" site:arxiv.org OR site:nature.com - Policy sources:
"[topic]" site:rand.org OR site:brookings.edu - Recent news:
"[topic]" AI safety 2024 OR 2025
Source trust hierarchy:
- Peer-reviewed research (Nature, Science, arXiv)
- Expert organizations (RAND, FHI, CAIS, MIRI)
- Government reports (GAO, UK AISI, NIST)
- Quality journalism (Reuters, AP)
- Industry analysis (McKinsey, OECD)
- Blog posts (LessWrong, EA Forum - verify claims)
Step 4: Synthesis
Organize findings by theme, not by source. Focus on:
- Areas of consensus
- Points of disagreement
- Quantitative data where available
- Causal relationships (for diagram creation)
Quality Levels
| Level | Criteria |
|---|---|
| 1 | Basic outline, <10 sources, major gaps |
| 2 | Main points covered, 10-15 sources, some gaps |
| 3 | Solid coverage, 15-25 sources, minor gaps |
| 4 | Comprehensive, 25-35 sources, well-structured |
| 5 | Authoritative, 35+ sources, original synthesis |
Template
---
title: "[Topic]: Research Report"
description: "[Key finding with specific number - escape \\$ signs]"
topic: "[entity-id]"
createdAt: YYYY-MM-DD
lastUpdated: YYYY-MM-DD
researchDepth: "standard"
sources: ["web", "codebase"]
quality: 3
sidebar:
order: 10
---
import { Aside } from '@astrojs/starlight/components';
## Executive Summary
| Finding | Key Data | Implication |
|---------|----------|-------------|
| **Finding 1** | Specific number | What it means |
| **Finding 2** | Specific data | What it means |
| **Key uncertainty** | Current state | Why it matters |
---
## Background
[2-3 paragraphs explaining the topic and its importance]
<Aside type="tip" title="Why This Matters for AI Safety">
Key insight about safety implications.
</Aside>
---
## Key Findings
### [Theme 1]
[Paragraphs with citations and tables]
<Aside type="note" title="Data Source">
Methodological note or caveat.
</Aside>
### [Theme 2]
[Paragraphs with citations and tables]
---
## Causal Factors
### Primary Factors (Strong Influence)
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **[Factor]** | ↑ Topic | leaf | Evidence summary | High |
### Secondary Factors (Medium Influence)
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **[Factor]** | ↓ Topic | cause | Evidence summary | Medium |
### Minor Factors (Weak Influence)
| Factor | Direction | Type | Evidence | Confidence |
|--------|-----------|------|----------|------------|
| **[Factor]** | Mixed | intermediate | Limited evidence | Low |
---
## Open Questions
<Aside type="note" title="Key Uncertainties">
These questions represent the highest-value areas for follow-up research.
</Aside>
| Question | Why It Matters | Current State |
|----------|----------------|---------------|
| **[Question]** | Impact on assessment | Current understanding |
---
## Sources
### Research Organizations
- [Source](url) - Brief annotation
### Policy Analysis
- [Source](url) - Brief annotation
### News Coverage
- [Source](url) - Brief annotation
---
## AI Transition Model Context
<Aside type="tip" title="Model Integration">
How this research connects to the AI Transition Model factors and scenarios.
</Aside>
[Brief explanation of connections]
Integration with Diagrams
After completing a report, the Causal Factors table can be directly converted to a causeEffectGraph:
| Report Column | Maps to Diagram |
|---|---|
| Factor | Node label |
| Type | Node type (leaf/cause/intermediate) |
| Direction (↑/↓) | Edge effect (increases/decreases) |
| Confidence | Edge confidence |
Use the cause-effect-diagram skill for diagram creation after the report is complete.