Deep research skills 21pounder deep research

Skill bg-szy/TOP-SKILLS/skills/marketplace/deep-research__skills-21pounder-deep-research

全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能，提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard

Install

npx -y skills add bg-szy/TOP-SKILLS --skill deep-research__skills-21pounder-deep-research

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What its author says it does

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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.

SKILL.md

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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 .env from the project root (no manual env setup needed)
If still failing, check that .env contains DIFY_API_KEY and DIFY_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