research

# Research Skill

## Research Workflows

### Standard Query
```
1. THINK → Sequential Thinking decomposition
2. RESOLVE → Context7 resolve-library-id
3. DOCUMENT → Context7 query-docs (5000-10000 tokens)
4. SUPPLEMENT → Exa code context search
5. SYNTHESIZE → Structured answer with sources
```

### Complex Investigation
```
1. DEEP THINK → Multi-hypothesis Sequential Thinking
2. DEEP RESEARCH → Exa deep researcher (45s-2min)
3. MONITOR → Check status until completed
4. VALIDATE → Cross-check Context7 official sources
5. REPORT → Comprehensive solution
```

### Technology Trends
```
1. WEB SCAN → Exa search latest developments
2. CODE PATTERNS → Exa code context for practices
3. ECOSYSTEM → Company research for key players
4. ANALYSIS → Sequential Thinking for implications
5. RECOMMENDATIONS → Actionable insights
```

## Context7 Usage

```typescript
// Step 1: Resolve library ID
mcp__context7__resolve-library-id({
  libraryName: "next.js",
  query: "App Router server actions"
})

// Step 2: Query docs
mcp__context7__query-docs({
  libraryId: "/vercel/next.js",
  query: "server actions authentication"
})
```

**Best Practices**:
- Always `resolve-library-id` BEFORE `query-docs`
- Specify `topic` parameter to focus retrieval
- Start with 5000 tokens, increase to 10000 if needed
- Handle variations: "nextjs" vs "/vercel/next.js"

## Exa Search Types

| Type | Use Case | Time | numResults |
|------|----------|------|------------|
| `fast` | Quick lookups | <5s | 3-5 |
| `auto` | Balanced | 5-15s | 5-8 |
| `deep` | Comprehensive | 15-45s | 8+ |

```typescript
// Code context search
mcp__exa__get_code_context_exa({
  query: "Next.js 16 server actions authentication",
  tokensNum: 5000
})

// Web search
mcp__exa__web_search_exa({
  query: "React 2025 best practices",
  type: "auto",
  numResults: 5
})
```

## Exa Deep Research

**Reserve for** investigations requiring >30min manual effort.

```typescript
// Start research
const { taskId } = await mcp__exa__deep_researcher_