qwen_agent/skills/linggan/market-academic-insight/SKILL.md

---
name: market-academic-insight
description: Generate structured market research and academic insight briefs with clear evidence, trends, risks, and opportunities. Use when the user asks for industry research, market trends, literature review, academic progress tracking, or evidence-based insight synthesis. 中文触发词包括：行业洞察、市场研究、学术综述、论文进展、趋势分析、研究简报。
---

# Market & Academic Insight

## Overview

This skill produces structured research briefs for two closely related scenarios:

1. **Market insight** - industry trends, company landscape, competitor movement, regional opportunity, policy impact
2. **Academic insight** - literature scan, research progress summary, topic synthesis, evidence comparison, research gaps

Use this skill when the user needs **research synthesis and judgment**, not just raw search results.

## Quick Start

When the user requests research or insight generation:

1. Identify whether the request is primarily **market**, **academic**, or **hybrid**
2. Clarify the topic, time range, geography, audience, and output depth
3. If live information is required, use existing search skills such as `baidu-search`
4. Synthesize findings into a structured brief with **evidence separated from conclusions**

### 中文任务映射
- “做一份行业洞察” → market
- “总结一下论文进展” → academic
- “分析这个技术的产业机会” → hybrid
- “整理成研究简报” → standard brief


## Input Requirements

Collect the following information before producing the final brief:

| Field | Required | Description |
|-------|----------|-------------|
| topic | yes | Research topic, industry, company, or academic theme |
| mode | yes | `market` / `academic` / `hybrid` |
| objective | yes | What decision or understanding this research should support |
| time range | no | Recent month, quarter, year, or custom range |
| geography | no | Country, region, or market scope |
| audience | no | Executive, product team, investor, researcher, student |
| output language | no | Language for the final brief |
| depth | no | Quick brief / standard report / deep dive |
|
If information is missing, ask only for the fields that materially change the output.

## Workflow Decision Tree

### Market Insight Workflow
Use this path when the user asks about:
- market trends
- industry landscape
- competitor movement
- customer demand shifts
- regulatory or policy effects
- opportunity and risk assessment

### Academic Insight Workflow
Use this path when the user asks about:
- literature review
- paper synthesis
- research frontier
- evidence comparison
- methodology trends
- open questions or research gaps

### Hybrid Workflow
Use this path when the user wants both:
- market adoption + academic progress
- commercial relevance of a research area
- industry impact of an emerging technology

## Instructions

### Step 1: Define scope
Restate the research target in a precise sentence:
- what is being studied
- why it matters
- what decision it should support

### Step 2: Gather evidence
Prefer recent, attributable sources. If live retrieval is needed, use `baidu-search` or other enabled search tools.

For each key source, capture:
- source name
- date
- relevant claim or data point
- confidence or limitation

### Step 3: Separate facts from interpretation
Always distinguish:
- **Evidence**: reported facts, data, quotes, findings
- **Analysis**: what those facts imply
- **Speculation**: what may happen next

Never present an assumption as a confirmed fact.

### Step 4: Synthesize by theme
Group findings into 3-6 themes such as:
- growth drivers
- demand shifts
- technology maturity
- methodological differences
- adoption barriers
- competitive positioning

### Step 5: Produce conclusions
End with concise insight statements that answer the user’s objective, not just summarize materials.

## Output Format

Use the following structure by default:

```markdown
# [Title]

## Executive Summary
[3-6 sentence summary]

## Research Scope
- Topic:
- Mode:
- Time range:
- Geography:
- Audience:

## Key Findings
### 1. [Theme]
- Evidence:
- Interpretation:
- Implication:

### 2. [Theme]
- Evidence:
- Interpretation:
- Implication:

## Risks and Uncertainties
- [Risk / limitation]

## Opportunities or Next Steps
- [Actionable recommendation]

## Evidence Log
- [Source] - [Date] - [Key point]
```

## Quality Checklist

Before finalizing, verify:
- conclusions directly answer the user’s goal
- evidence and judgment are clearly separated
- time range and geography are explicit when relevant
- contradictory evidence is acknowledged
- outdated or weak evidence is labeled as such
- no fabricated citations or unverified claims are included

## Fallback Strategy

If evidence is limited:
- say what is known
- say what remains uncertain
- suggest what additional sources or validation would improve confidence

Do not invent detail to make the brief look complete.

## Related Skills

- `skills/baidu-search/SKILL.md` - retrieve current external information
- `skills/auto-daily-summary/SKILL.md` - condense a large evidence set into a recurring summary
- `skills/competitor-news-intel/SKILL.md` - competitor-focused monitoring and intelligence

## Examples

**User**: "帮我做一份中国 AI Agent 市场趋势洞察"

Output should include:
- market scope and timeframe
- major players and movement
- demand signals
- risks and opportunities
- evidence log

**User**: "总结一下多模态检索近一年的学术进展"

Output should include:
- research scope
- major themes
- representative findings
- open research gaps
- evidence log