Delegation Advisor Skill

Delegation Advisor Skill

Analyze tasks and recommend optimal delegation - whether to human, AI agent, or external tool. Generate appropriate prompts for AI delegation.

Purpose

This skill helps determine the best assignee for each task based on the task's requirements and each agent's strengths. It also generates handoff prompts tailored to the selected agent.

Agent Profiles

1. Claude Code

Strengths:

• Building software/​tools
• Coding and debugging
• System architecture
• Deployment and DevOps
• File system operations
• MCP integrations

Best For: Implementation tasks, technical building, automation

Prompt Style: Detailed specs, clear acceptance criteria, technical requirements

Example Tasks:

• Build a Python script
• Create a web application
• Debug code issues
• Set up CI/​CD pipeline

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2. Gemini

Strengths:

• Deep research
• Multi-document analysis
• Long context processing
• Comparative analysis
• PDF and document understanding

Best For: Research tasks, document analysis, literature review

Prompt Style: Clear research questions, source guidance, expected output format

Example Tasks:

• Research existing frameworks
• Analyze competitor approaches
• Summarize multiple papers
• Compare policy documents

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3. ChatGPT

Strengths:

• Creative writing
• Drafting and editing
• Brainstorming
• Conversational interfaces
• Content generation

Best For: Content creation, ideation, copywriting

Prompt Style: Creative briefs, tone guidance, audience context

Example Tasks:

• Draft marketing copy
• Write blog posts
• Brainstorm feature ideas
• Edit and refine text

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4. Human (Omer)

Strengths:

• Strategic decisions
• Stakeholder communication
• Quality judgment
• Domain expertise application
• Final approvals

Best For: Decisions, reviews, external communication, sign-offs

Requires: Clear options and recommendations, decision criteria

Example Tasks:

• Approve project direction
• Review deliverables
• Communicate with stakeholders
• Make strategic choices

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5. Taskmaster (MCP)

Strengths:

• Task tracking
• Dependency management
• Progress monitoring
• Status updates

Best For: Task CRUD operations, status updates, project tracking

Integration: Direct MCP calls

Example Tasks:

• Update task status
• Expand task into subtasks
• Get next task to work on
• Track project progress

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6. Other MCPs

Workflow

Step 1: Analyze Task Requirements

Assess the task across these factors:

Step 2: Match to Best Agent

Apply matching logic:

IF technical_building OR coding:
    → Claude Code (confidence: high)
    
ELIF deep_research OR multi_doc_analysis:
    → Gemini (confidence: high)
    
ELIF creative_writing OR brainstorming:
    → ChatGPT (confidence: medium)
    
ELIF strategic_decision OR stakeholder_communication:
    → Human (Omer) (confidence: high)
    
ELIF task_tracking OR status_update:
    → Taskmaster MCP (confidence: high)
    
ELSE:
    → Present options to human (confidence: low)

Output:

• assignee: Selected agent name
• confidence: high | medium | low
• reasoning: Why this agent is best suited

Step 3: Generate Handoff Prompt

For AI agents, generate a structured handoff prompt:

## Task Handoff: {task_name}

### Context
{project_context_summary}

### Objective
{clear_task_description}

### Requirements
- {requirement_1}
- {requirement_2}

### Acceptance Criteria
- {criterion_1}
- {criterion_2}

### Constraints
- {constraint_1}

### Output Format
{expected_deliverable_format}

Step 4: Checkpoint

CHECKPOINT: Present recommendation to user

Ask:

• "Approve this delegation?"
• "Want to modify the assignee?"
• "Any changes to the handoff prompt?"

Step 5: Update

• Update task assignee in {project}_tasks.md
• Provide handoff prompt if AI agent selected

Example Interaction

User Request:

"מי יכול לעשות את המחקר על frameworks קיימים?"

Analysis:

• Task type: Research
• Requirements: Multi-document analysis, comparative study
• No coding required
• No stakeholder communication

Recommendation:

Recommended Assignee: Gemini Confidence: High Reasoning: This is a research task requiring analysis of multiple documents and comparison. Gemini excels at deep research and long-context processing.

Generated Prompt for Gemini:

## Task Handoff: Research Existing AI Frameworks

### Context
Working on an AI Strategy project for the Law Faculty. Need to understand the landscape of existing frameworks before proposing our approach.

### Objective
Research and analyze existing AI governance/​strategy frameworks used in academic institutions, particularly law schools.

### Requirements
- Find at least 5 relevant frameworks
- Focus on academic/​educational contexts
- Include both governance and implementation aspects

### Acceptance Criteria
- Summary of each framework (1-2 paragraphs)
- Comparison table with key features
- Recommendations on which elements to adopt

### Output Format
Markdown document with sections for each framework, comparison table, and recommendations

Cross-Interface Notes

• Claude AI: Presents recommendations, user copies prompt manually
• Claude Code: Can directly invoke other agents with prompt
• Both use same agent profiles and matching logic