Displays status and progress for Ship framework features from CONTEXT.md and PLAN.md files.
npx skills add https://github.com/dilhanz/ship --skill ship-status
Please help me install this Agent Skill. Skill: ship-status Source: https://github.com/dilhanz/ship/tree/main/.claude/skills/ship-status Command: npx skills add https://github.com/dilhanz/ship --skill ship-status
This Skill provides a clear overview of the status and progress of all features being managed within the Ship framework, helping users understand what has been done, what is in progress, and what needs to be done next.
/ship-status to quickly see which features are completed, which are actively being built, and what the next logical step is for each.Run the ship-status skill to see the current progress of all your features.
High-intent search queries and answers about installing and using this skill.
To track feature progress, the skill aggregates status details from CONTEXT.md and PLAN.md files in the .planning/features/ directory, displaying a summary table of task completion and current phases for all managed features.
The best way to view feature status is to run the skill, which analyzes your planning files to display overall progress and suggests the exact next command to execute based on the active feature's current lifecycle stage.
Feature tracking works by reading CONTEXT.md and PLAN.md files within the .planning/features/ directory to identify the current phase, calculate task completion versus total tasks, and provide a comprehensive overview of all features.
Yes, you can see detailed progress because the skill explicitly identifies the currently active feature and shows its phase-specific progress alongside the broader summary table of all managed features.
Yes, you need specific planning files because the skill depends on aggregating information from CONTEXT.md and PLAN.md files located within the .planning/features/ directory to generate its comprehensive overview.
If your feature tracking shows a task in progress, the skill offers actionable advice on the next command to run by evaluating the feature's current status and lifecycle stage to determine the logical next step.
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