Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Transform complex projects into managed workflows with smart model selection and sub-agent orchestration.
๐ฏ Smart Task Triage Analyze complexity โ assign appropriate model (Haiku/Sonnet/Opus) Break large projects into smaller, manageable tasks Prevent over-engineering (don't use Opus for simple web searches) ๐ค Sub-Agent Orchestration Spawn isolated sub-agents with specific model constraints Run tasks in parallel for faster completion Consolidate results into coherent deliverables ๐ฐ Budget Management Track token costs per task and total project Set budget limits to prevent runaway spending Optimize model selection for cost-efficiency ๐ Progress Tracking Real-time status of all active tasks Failed task retry with escalation Final deliverable compilation
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
Override automatic selection when you know better: TaskMaster: Debug complex algorithm [FORCE: Opus]
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.py for core orchestration logic
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.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.