--- 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 "" "" "" ``` **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