taskmasterProject 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.
Install via ClawdBot CLI:
clawdbot install jlwrow/taskmasterTransform complex projects into managed workflows with smart model selection and sub-agent orchestration.
šÆ Smart Task Triage
š¤ Sub-Agent Orchestration
š° Budget Management
š Progress Tracking
TaskMaster: Research PDF processing libraries
- Budget: $2.00
- Priority: medium
- Deadline: 2 hoursTaskMaster: Build recipe app MVP
- Components: UI mockup, backend API, data schema, deployment
- Budget: $15.00
- Timeline: 1 week
- Auto-assign models based on complexityHaiku ($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 >$1.00scripts/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.
Generated Mar 1, 2026
A startup needs comprehensive market analysis on competitors, pricing, and customer segments. TaskMaster can break this into parallel tasks: web searches for data (Haiku), analysis reports (Sonnet), and strategic recommendations (Opus), all within a set budget to optimize costs.
A researcher requires a systematic review of scientific papers on a specific topic. TaskMaster delegates tasks like searching databases (Haiku), summarizing findings (Sonnet), and synthesizing insights (Opus), tracking progress and managing token budgets efficiently.
A team is building a new application and needs tasks like UI design, backend coding, and testing. TaskMaster breaks down the project, assigns models based on complexity (e.g., Sonnet for coding, Opus for architecture), and runs tasks in parallel to speed up delivery.
A marketing agency needs to produce blog posts, social media content, and SEO analysis for a campaign. TaskMaster delegates repetitive tasks like data formatting (Haiku) to cheaper models while using Sonnet for writing and Opus for strategy, all within budget limits.
Offer TaskMaster as a monthly subscription for businesses to manage AI-driven projects, with tiered plans based on usage limits and advanced features like custom model assignments. Revenue comes from recurring fees and upsells for premium support.
Charge users based on token consumption and tasks completed, with transparent pricing aligned with model costs (Haiku/Sonnet/Opus). This model attracts small teams and freelancers who need flexible, cost-effective project management without long-term commitments.
Sell TaskMaster as an enterprise solution with custom integrations, dedicated support, and enhanced security for large organizations. Revenue is generated through annual licenses, training services, and consulting for workflow optimization.
š¬ Integration Tip
Integrate TaskMaster with existing project management tools via APIs to sync tasks and budgets, and use its delegation engine for automating routine AI model assignments to reduce manual overhead.
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