| name | delegation-advisor |
| description | Recommend who should do a task (Claude Code, Gemini, ChatGPT, Human, Taskmaster, MCPs) and generate handoff prompts. |
| triggers | who should do this, delegate, assign tasks, what can AI do, מי יכול לעשות את זה |
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
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
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
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
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
6. Other MCPs
| MCP | Best For | Example Use |
|---|---|---|
| Monday | Project boards, team collaboration | Sync tasks to team board |
| Google Drive | Document storage, sharing | Save deliverables, share with stakeholders |
| Gmail | Email communication | Send updates, schedule meetings |
| Calendar | Scheduling | Book meetings, set reminders |
Workflow
Step 1: Analyze Task Requirements
Assess the task across these factors:
| Factor | Questions |
|---|---|
| Technical complexity | Does it require coding? System design? |
| Creative requirements | Does it need writing? Ideation? |
| Decision authority | Does it need human judgment? |
| External communication | Does it involve stakeholders? |
| Time sensitivity | Is there urgency? |
| Context requirements | How much background is needed? |
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 nameconfidence: high | medium | lowreasoning: 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