deep-research · v3.1.0 · 2026-01-13 · sha256 62cb78989ab6302a
deep-research v3.1.0A
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---
name: deep-research
description: Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured analysis with insights.
version: 3.1.0
allowed-tools: [Bash, Glob, Read]
---
# Deep Research (Dify Powered)
This skill delegates research tasks to a specialized Dify Workflow that:
1. Searches official documentation, tutorials, and academic resources
2. Analyzes the topic with DeepSeek Reasoner for deep insights
3. Iteratively searches for examples, solutions, and related research
4. Generates a comprehensive research report with structured findings
**Use this skill for:**
- Code implementation research (APIs, libraries, best practices)
- Academic paper analysis and literature review
- Technology comparison and evaluation
- Any topic requiring comprehensive, structured research
## Parameters
```json
{
"type": "object",
"properties": {
"coding_task": {
"type": "string",
"description": "The coding task or question to research (required)"
},
"tech_stack": {
"type": "string",
"description": "Technology stack context (e.g., 'React 18, TypeScript, Next.js')"
},
"depth": {
"type": "integer",
"minimum": 1,
"maximum": 5,
"default": 3,
"description": "Research depth (1=quick, 3=standard, 5=comprehensive)"
}
},
"required": ["coding_task"]
}
```
## Workflow
### Step 1: Locate the Client Script
The client script is at: `.claude/skills/deep-research/scripts/dify-client.ts`
Use `Glob` to find the absolute path if needed.
### Step 2: Execute Research
Use `Bash` to run the script with `npx tsx`:
```bash
npx tsx "<path_to_script>" "<coding_task>" "<tech_stack>" <depth>
```
**Examples:**
```bash
# Basic research
npx tsx ".claude/skills/deep-research/scripts/dify-client.ts" "How to implement OAuth2 in Next.js"
# With tech stack
npx tsx ".claude/skills/deep-research/scripts/dify-client.ts" "Add real-time notifications" "React 18, Socket.io"
# With depth
npx tsx ".claude/skills/deep-research/scripts/dify-client.ts" "Optimize database queries" "PostgreSQL, Prisma" 5
```
### Step 3: Process Results
The script returns JSON with two main fields:
- `analysis`: Task analysis with knowledge gaps and tech requirements
- `guide`: Complete implementation guide with:
- TASK_SUMMARY
- DEPENDENCIES (install commands)
- FILES_TO_CREATE (complete code)
- FILES_TO_MODIFY (change instructions)
- ENVIRONMENT_CONFIG
- VERIFICATION (test commands)
- GOTCHAS (common issues)
- SOURCES
### Step 4: Implement
Use the guide to:
1. Install dependencies
2. Create new files with provided code
3. Modify existing files as instructed
4. Set up environment variables
5. Run verification commands
## Error Handling
If the script returns an error:
1. The script automatically loads `.env` from the project root (no manual env setup needed)
2. If still failing, check that `.env` contains `DIFY_API_KEY` and `DIFY_BASE_URL`
3. Verify the Dify API is accessible
## Output Format
```json
{
"success": true,
"data": {
"analysis": "{ JSON task analysis }",
"guide": "# Implementation Guide\n\n### TASK_SUMMARY\n..."
},
"metadata": {
"duration_ms": 45000,
"workflow_run_id": "abc123"
}
}
```
## When to Use
- Complex implementation tasks requiring research
- Integrating unfamiliar APIs or libraries
- Finding best practices and working examples
- Understanding new frameworks or patterns