- name
- taskmaster
- description
- Project manager and task delegation system. Use when you need to break down complex work into smaller tasks, assign appropriate AI models based on complexity, spawn sub-agents for parallel execution, track progress, and manage token budgets. Ideal for research projects, multi-step workflows, or when you want to delegate routine tasks to cheaper models while handling complex coordination yourself.
TaskMaster: AI Project Manager & Task Delegation
Transform complex projects into managed workflows with smart model selection and sub-agent orchestration.
Core Capabilities
🎯 Smart Task Triage
- Analyze complexity → assign appropriate model (Haiku/Sonnet/Opus)
- Break large projects into smaller, manageable tasks
- Prevent over-engineering (don't use Opus for simple web searches)
🤖 Sub-Agent Orchestration
- Spawn isolated sub-agents with specific model constraints
- Run tasks in parallel for faster completion
- Consolidate results into coherent deliverables
💰 Budget Management
- Track token costs per task and total project
- Set budget limits to prevent runaway spending
- Optimize model selection for cost-efficiency
📊 Progress Tracking
- Real-time status of all active tasks
- Failed task retry with escalation
- Final deliverable compilation
Quick Start
1. Basic Task Delegation
TaskMaster: Research PDF processing libraries
- Budget: $2.00
- Priority: medium
- Deadline: 2 hours2. Complex Project Breakdown
TaskMaster: Build recipe app MVP
- Components: UI mockup, backend API, data schema, deployment
- Budget: $15.00
- Timeline: 1 week
- Auto-assign models based on complexityModel Selection Rules
Haiku ($0.25/$1.25) - Simple, repetitive tasks:
- Web searches & summarization
- Data formatting & extraction
- Basic file operations
- Status checks & monitoring
Sonnet ($3/$15) - Most development work:
- Research & analysis
- Code writing & debugging
- Documentation creation
- Technical design
Opus ($15/$75) - Complex reasoning:
- Architecture decisions
- Creative problem-solving
- Code reviews & optimization
- Strategic planning
Advanced Usage
Custom Model Assignment
Override automatic selection when you know better:
TaskMaster: Debug complex algorithm [FORCE: Opus]Parallel Execution
Run multiple tasks simultaneously:
TaskMaster: Multi-research project
- Task A: Library comparison
- Task B: Performance benchmarks
- Task C: Security analysis
[PARALLEL: true]Budget Controls
Set spending limits:
TaskMaster: Market research
- Max budget: $5.00
- Escalate if >$3.00 spent
- Stop if any single task >$1.00Key Resources
- Model Selection: See references/model-selection-rules.md for detailed complexity guidelines
- Task Templates: See references/task-templates.md for common task patterns
- Delegation Engine: Uses
scripts/delegate_task.pyfor core orchestration logic
Implementation Notes
Sessions Management: Each sub-agent gets isolated session with specific model constraints. No cross-talk unless explicitly designed.
Error Handling: Failed tasks automatically retry once on Sonnet, then escalate to human review.
Result Aggregation: TaskMaster compiles all sub-agent results into a single, coherent deliverable for the user.
Token Tracking: Real-time cost monitoring with alerts when approaching budget limits.