Skill: jlwrow/taskmaster (version 1.0.0)

--- 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 ```markdown TaskMaster: Research PDF processing libraries - Budget: $2.00 - Priority: medium - Deadline: 2 hours ``` ### 2. Complex Project Breakdown ```markdown 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 ``` ## Model 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: ```markdown TaskMaster: Debug complex algorithm [FORCE: Opus] ``` ### Parallel Execution Run multiple tasks simultaneously: ```markdown TaskMaster: Multi-research project - Task A: Library comparison - Task B: Performance benchmarks - Task C: Security analysis [PARALLEL: true] ``` ### Budget Controls Set spending limits: ```markdown TaskMaster: Market research - Max budget: $5.00 - Escalate if >$3.00 spent - Stop if any single task >$1.00 ``` ## Key Resources - **Model Selection**: See [references/model-selection-rules.md](references/model-selection-rules.md) for detailed complexity guidelines - **Task Templates**: See [references/task-templates.md](references/task-templates.md) for common task patterns - **Delegation Engine**: Uses `scripts/delegate_task.py` for 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.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)