Create Track project and task files from natural language descriptions.
npx skills add https://github.com/Hugopeck/track --skill create-hugopeck
Please help me install this Agent Skill. Skill: create Source: https://github.com/Hugopeck/track/tree/main/skills/create Command: npx skills add https://github.com/Hugopeck/track --skill create-hugopeck
It turns natural-language requests into validated Track projects and tasks, removing the manual work of inferring structure, priorities, dependencies, and file scope.
Tell the create skill to turn your idea into a Track project or task plan, and it will infer the title, priority, mode, dependencies, and file scope before writing validated files.
High-intent search queries and answers about installing and using this skill.
The create skill generates YAML task files by parsing natural language descriptions. It infers structure, priorities, and dependencies before writing validated project files after plan confirmation.
Yes, you can create a Track project with decomposed tasks from a single brief. The skill processes mixed requests to generate both project briefs and standalone tasks with inferred dependencies.
You validate generated Track files and regenerate board views using built-in scripts. The skill automatically runs track-validate.sh for YAML validation and track-todo.sh to regenerate board views.
ID and slug collision checks are performed before writing YAML files. The skill verifies unique identifiers and slugs during task creation to prevent file conflicts in your Track project.
No, task creation does not require manual priority and dependency assignment. The skill automatically infers priorities, operating modes, and dependencies from your natural language input before generating files.
dalawwaConvert natural language task requests into structured draft task files.
Gundlapuriswathiii006Create, update, and track project tasks with states and dependencies.
HugopeckRegenerate Track shared view files and verify BOARD.md, TODO.md, and PROJECTS.md outputs.
malue-aiEdits specific PDF document pages via natural-language instructions using the nc CLI.
