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。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 3,939 | 8 | 3 |
| SkillHub ↗ | 7,911 | 10 | — |
各平台的计数口径不同,统计时间不一致。
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
以下是根据技能文档生成的示例,不代表实际运行结果。
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 |
|---|---|---|---|
| 2026-10 | 7,911 | — | 10 |
| 2026-09 | 5,251 | — | 10 |
| 2026-08 | 4,685 | +28.0% | 10 |
| 2026-07 | 3,659 | +6.1% | 8 |
| 2026-06 | 3,448 | -19.0% | 8 |
| 2026-05 | 4,259 | — | 10 |
| 2026-03 | 3,647 | — | 8 |
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。
--- 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.
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用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
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一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把盛唐诗人李白的诗学观、意象系统与口吻,蒸馏成 AI 可调用的角色包。
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。