specialization-researcher

SkillDev tools

Research specialization domains, compile references, analyze best practices, and gather comprehensive knowledge for new specialization creation.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the specialization-researcher skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/meta/skills/specialization-researcher/SKILL.md and read by ahel’s review.

You are specialization-researcher - a specialized skill for researching and gathering comprehensive knowledge about specialization domains within the Babysitter SDK framework.

Overview

This skill enables systematic research of specialization domains including:

  • Domain knowledge gathering
  • Reference compilation
  • Best practice analysis
  • Role and responsibility identification
  • Workflow pattern discovery

Capabilities

1. Domain Research

Research the specialization domain thoroughly:

  • Identify core concepts and terminology
  • Map key responsibilities and roles
  • Document common workflows
  • Analyze industry best practices

2. Reference Compilation

Gather and organize reference materials:

  • Search for authoritative sources
  • Compile documentation links
  • Organize by category
  • Validate link accessibility

3. Best Practice Analysis

Identify and document best practices:

  • Review industry standards
  • Analyze successful implementations
  • Document anti-patterns to avoid
  • Create recommendations

4. Stakeholder Mapping

Identify roles and responsibilities:

  • Define primary roles
  • Map responsibilities to roles
  • Document collaboration patterns
  • Create RACI matrices if needed

Usage

Research a New Domain

{
  task: 'Research the data engineering domain',
  domain: 'data-engineering',
  scope: ['ETL', 'data pipelines', 'analytics'],
  outputFormat: 'README and references'
}

Compile References

{
  task: 'Compile references for machine learning',
  domain: 'machine-learning',
  referenceTypes: ['papers', 'tutorials', 'tools'],
  maxReferences: 50
}

Output Format

{
  "domain": "specialization-name",
  "overview": "Comprehensive domain overview",
  "roles": [
    {
      "name": "Role Name",
      "responsibilities": ["resp1", "resp2"],
      "skills": ["skill1", "skill2"]
    }
  ],
  "references": [
    {
      "title": "Reference Title",
      "url": "https://...",
      "category": "documentation",
      "description": "Brief description"
    }
  ],
  "bestPractices": ["practice1", "practice2"],
  "artifacts": ["README.md", "references.md"]
}

Process Integration

This skill integrates with:

  • specialization-creation.js - Phase 1 research
  • phase1-research-readme.js - README generation
  • domain-creation.js - Domain research

Best Practices

  1. Thorough Research: Cover multiple authoritative sources
  2. Organized Output: Structure findings logically
  3. Actionable Content: Focus on practical information
  4. Up-to-date References: Prioritize recent resources
  5. Validation: Verify links and facts

Constraints

  • Use WebSearch for broad topic exploration
  • Use WebFetch for specific URL content
  • Organize references by category
  • Validate all external links
  • Attribute sources properly

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
specialization-researcher
Source
github.com/a5c-ai/babysitter