Manage agent-driven task lifecycles and verify implementations via directory state machines.
npx skills add https://github.com/alangeb/tau --skill task-alangeb
Please help me install this Agent Skill. Skill: task Source: https://github.com/alangeb/tau/tree/main/src/skills/task Command: npx skills add https://github.com/alangeb/tau --skill task-alangeb
This Skill solves the challenge of managing complex, multi-step AI agent workflows by providing a structured lifecycle for tasks, ensuring state consistency, and enabling automated verification.
Use the task skill to verify the implementation status of all pending tasks in the project.
High-intent search queries and answers about installing and using this skill.
Task lifecycle management is automated through a structured directory-based state machine that tracks progress from todo to completion. This enforces state consistency and prevents tasks from being lost.
Automated implementation verification uses content-based analysis and pattern matching to confirm tasks are correctly implemented. It validates that required functions and tests exist in the codebase rather than relying on file naming.
No external libraries are required to orchestrate task tracking and verification. The system depends entirely on standard Python libraries to perform file system operations and pattern matching for code validation.
Multi-step development tasks are tracked without losing state consistency by organizing work into a clear pipeline. The directory structure manages transitions from todo to completion or failure, ensuring no task is lost.
The best way to verify agent task implementation status is using content-based analysis to scan the project. This automated verification confirms required functions and tests exist in the codebase across all pending tasks.
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