Convert natural language task descriptions into structured tasks with priority, dates, and tags.
npx skills add https://github.com/aviz85/claude-tasks --skill task-parsing
Please help me install this Agent Skill. Skill: task-parsing Source: https://github.com/aviz85/claude-tasks/tree/main/.claude/skills/task-parsing Command: npx skills add https://github.com/aviz85/claude-tasks --skill task-parsing
This Skill converts casually described work into formal task items with priority, due date, project, and tags, enabling automation and improved planning.
Use the task-parsing skill to convert a natural language task into a structured checklist item. Example: "Review John's PR for the API feature, it's blocking the release" → - [ ] Review John's PR for API feature @work #review #code !high ~30m
High-intent search queries and answers about installing and using this skill.
To convert natural language into structured tasks, the Skill parses casual descriptions and extracts priority, due dates, projects, and tags to output a ready-to-use checklist item. It identifies priority markers like !high and tags like #review automatically.
Yes, you can parse inbox-like notes into prioritized checklist items. The Skill infers destination projects and tags from the task description, enabling automated routing across personal and team workflows for effective organization.
The best way to extract time estimates and priority from task descriptions is using natural language parsing. The Skill identifies time estimates ranging from ~15m to ~4h and priority levels from text to generate structured task data.
Natural language task parsing works for both personal and team workflows. It processes casually described work across various contexts, transforming text into formal task items with due dates, projects, and tags for improved planning.
To format a natural language task with project and tag markers, use symbols like @project and #tag in your text. The parser recognizes these along with priority indicators such as !high and time estimates like ~30m to structure the output.
As a basic implementation with no dependencies, this Skill processes text to extract structured task attributes like priority, dates, and tags. It focuses on parsing syntax and inferring routing context rather than executing the tasks themselves.
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