SonnyW

TaskMaster - AI Cost Optimizer

AI 智能体v1.0.0
作者:SonnyW更新于 2026-05-11taskmaster@clawhub_jlwrow/taskmaster
任务自动化多 Agent 协作工作流编排

据 AlphaMoat 统计,截至 2026-10,TaskMaster - AI Cost Optimizer 累计下载 7,911 次、获 10 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 3,513 位,在「AI 智能体」分类(1,632 个)中排名第 468 位。

列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。

累计下载
7,911
星标
10
全站下载量排名
#3,513
全站前 33% · 「AI 智能体」前 29%
平台累计下载星标评论
ClawHub ↗3,93983
SkillHub ↗7,91110—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

先判断任务复杂度,再分配 Haiku、Sonnet 或 Opus 这类模型,必要时并行开子代理执行,同时按任务和项目累计 token 成本。原则是别用重模型做简单的事。

资料发布于 2026-10-27

可以用来做什么

  • 把一个大项目拆成可执行的任务清单
  • 给不同复杂度的任务配模型

什么时候用

  • 项目范围大、需要拆解时
  • 想在质量与成本之间取舍时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

把这个项目拆成任务并按复杂度分配模型
哪些任务可以并行交给子代理做

月度数据趋势

累计下载7,911
3,0915,6808,2682026-03 · 累计下载 3,6472026-05 · 累计下载 4,2592026-06 · 累计下载 3,4482026-07 · 累计下载 3,6592026-08 · 累计下载 4,6852026-09 · 累计下载 5,2512026-10 · 累计下载 7,91126-0326-0926-10
星标10
89102026-03 · 星标 82026-05 · 星标 102026-06 · 星标 82026-07 · 星标 82026-08 · 星标 102026-09 · 星标 102026-10 · 星标 1026-0326-0926-10

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-107,911—10
2026-095,251—10
2026-084,685+28.0%10
2026-073,659+6.1%8
2026-063,448-19.0%8
2026-054,259—10
2026-033,647—8

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

3.5 KB · ClawHub v1.0.0
---
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
展开全部(共 112 行)

**🎯 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.

「AI 智能体」分类下的热门技能

数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。