deep-research
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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
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 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:
- 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
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-28
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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