SonnyW

TaskMaster - AI Cost Optimizer

AI Agentv1.0.0
By SonnyWUpdated 2026-05-11taskmaster@clawhub_jlwrow/taskmaster
Task AutomationMulti-Agent CollaborationWorkflow Orchestration

According to AlphaMoat, as of 2026-10, TaskMaster - AI Cost Optimizer has 7,911 downloads and 10 stars — ranked by downloads #3,513 among 10,914 AI skills in this ranking, and #468 of 1,632 in AI Agent.

The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.

Downloads
7.9K
Stars
10
Overall download rank
#3,513
Top 33% overall · Top 29% in AI Agent
PlatformDownloadsStarsComments
ClawHub ↗3.9K83
SkillHub ↗7.9K10—

Platforms count differently and update at different times.

What this skill does

It first judges task complexity, then assigns a model such as Haiku, Sonnet or Opus, spawns sub-agents in parallel where useful, and tracks token cost per task and for the whole project. The rule is not to spend a heavy model on simple work.

Profile published 2026-10-27

What you can do with it

  • Turn a large project into an actionable task list
  • Match models to tasks of different complexity

When to use it

  • When the project is large enough to need breaking down
  • When quality has to be balanced against cost

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Break this project into tasks and assign models by complexity
Which tasks can run in parallel on sub-agents

Monthly Trend

Downloads7.9K
3.1K5.7K8.3K2026-03 · Downloads 3.6K2026-05 · Downloads 4.3K2026-06 · Downloads 3.4K2026-07 · Downloads 3.7K2026-08 · Downloads 4.7K2026-09 · Downloads 5.3K2026-10 · Downloads 7.9K26-0326-0926-10
Stars10
89102026-03 · Stars 82026-05 · Stars 102026-06 · Stars 82026-07 · Stars 82026-08 · Stars 102026-09 · Stars 102026-10 · Stars 1026-0326-0926-10

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-107.9K—10
2026-095.3K—10
2026-084.7K+28.0%10
2026-073.7K+6.1%8
2026-063.4K-19.0%8
2026-054.3K—10
2026-033.6K—8

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 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
Show all (112 lines)

**🎯 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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Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.