TaskMaster - AI Cost Optimizer
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,
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,
Real data. Real impact.
Emerging
Developers
Per week
Open source
Skills give you superpowers. Install in 30 seconds.
Transform complex projects into managed workflows with smart model selection and sub-agent orchestration.
🎯 Smart Task Triage
🤖 Sub-Agent Orchestration
💰 Budget Management
📊 Progress Tracking
TaskMaster: Research PDF processing libraries - Budget: $2.00 - Priority: medium - Deadline: 2 hours
TaskMaster: Build recipe app MVP - Components: UI mockup, backend API, data schema, deployment - Budget: $15.00 - Timeline: 1 week - Auto-assign models based on complexity
Haiku ($0.25/$1.25) - Simple, repetitive tasks:
Sonnet ($3/$15) - Most development work:
Opus ($15/$75) - Complex reasoning:
Override automatic selection when you know better:
TaskMaster: Debug complex algorithm [FORCE: Opus]
Run multiple tasks simultaneously:
TaskMaster: Multi-research project - Task A: Library comparison - Task B: Performance benchmarks - Task C: Security analysis [PARALLEL: true]
Set spending limits:
TaskMaster: Market research - Max budget: $5.00 - Escalate if >$3.00 spent - Stop if any single task >$1.00
scripts/delegate_task.py for core orchestration logicSessions 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.
No automatic installation available. Please visit the source repository for installation instructions.
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