| 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:
- Searches official documentation, tutorials, and academic resources
- Analyzes the topic with DeepSeek Reasoner for deep insights
- Iteratively searches for examples, solutions, and related research
- 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
{
"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:
npx tsx "<path_to_script>" "<coding_task>" "<tech_stack>" <depth>
Examples:
# 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 requirementsguide: 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:
- Install dependencies
- Create new files with provided code
- Modify existing files as instructed
- Set up environment variables
- Run verification commands
Error Handling
If the script returns an error:
- The script automatically loads
.envfrom the project root (no manual env setup needed) - If still failing, check that
.envcontainsDIFY_API_KEYandDIFY_BASE_URL - Verify the Dify API is accessible
Output Format
{
"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