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Skill v3.1.0
currentLLM-judged scan95/10021pounder/terminalagent/deep-research
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PublishedOctober 23, 2026 at 02:41 PM
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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:
- 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
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 researchnpx tsx ".claude/skills/deep-research/scripts/dify-client.ts" "How to implement OAuth2 in Next.js"# With tech stacknpx tsx ".claude/skills/deep-research/scripts/dify-client.ts" "Add real-time notifications" "React 18, Socket.io"# With depthnpx 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
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