by OPPO-PersonalAI · AI Tool · ★ 178
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TaskCraft: Automated Generation of Agentic Tasks 📝[Paper] 📊 [Data] is a library for generating difficulty-scalable, multi-tool, and verifiable agentic tasks with execution trajectories. It offers: ✨ Unlimited Task Complexity Scaling: Build multi-level complex challenges from simple atomic tasks via depth-based (hierarchical) and width-based (compositional) extension strategies, supporting multi hops reasoning and multi-tool collaboration. 🧑💻 Seamless Multi-Modal Input Parsing. Directly process heterogeneous data sources like PDF/HTML/URL, automatically extracting key information to generate atomic questions, with support for single-modal (text) and multi-modal (text-image hybrid) modes. 🤗 Verifiable Execution Trajectory Generation: Produce standardized function call logs and tool invocation chains for every task, enabling precise reproduction and evaluation of agent execution processes. 🌐 Difficulty Grading and Large-Scale Data Generation: Built-in difficulty scoring system automatically generates tasks from simple (1-step) to expert-level (4-step+), with a defau
| Stars | 178 |
| Forks | 18 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 64.347759545937/100 |
| Open Issues | 2 |
| Last Updated | 2025-07-06 |
| Created | 2025-06-11 |
| Platforms | python |
| Est. Tokens | ~844k |
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TaskCraft is A library for generating difficulty-scalable, multi-tool, and verifiable agentic tasks with execution trajectories.. It is categorized as a AI Tool with 178 GitHub stars.
TaskCraft is primarily written in Python.
You can find installation instructions and usage details in the TaskCraft GitHub repository at github.com/OPPO-PersonalAI/TaskCraft. The project has 178 stars and 18 forks, indicating an active community.
TaskCraft is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to TaskCraft on Agent Skills Hub include pivotnacci, redesigned-pancake, maui-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.