Enrich lightweight beads into implementation-ready descriptions by exploring the codebase.
npx skills add https://github.com/tmsjngx0/mindcontext-core --skill enrich
Please help me install this Agent Skill. Skill: enrich Source: https://github.com/tmsjngx0/mindcontext-core/tree/main/skills/enrich Command: npx skills add https://github.com/tmsjngx0/mindcontext-core --skill enrich
This Skill transforms underdeveloped "lightweight" tasks (beads) into fully detailed, implementation-ready descriptions, ensuring clarity and reducing ambiguity before development begins.
/enrich to flesh out all the iteration:future tasks within a specific epic, making them ready for developers to pick up.Use the enrich skill to promote the bead with ID mindcontext-mgmt-nzas.3 into a self-contained, implementation-ready description.
High-intent search queries and answers about installing and using this skill.
To turn lightweight agile tasks into implementation-ready descriptions, this Skill uses an agent to explore the codebase and generate comprehensive 6-layer descriptions, reducing ambiguity before development begins.
You can prepare all future tasks within an epic for sprint planning by running batch enrichment, which fleshes out all ready future beads into actionable development tasks with automatic label updates.
Yes, you can automatically create test tasks when refining underdeveloped task descriptions, as the enrichment process supports test-driven development integration to generate corresponding test beads.
The best way to decompose codebase tasks for actionable development is using an automated bead-enricher agent that analyzes the codebase and promotes lightweight beads into self-contained units of work.
No, you do not need to manually update task labels after codebase exploration and task refinement, because the Skill automatically handles label updates to mark the newly enriched tasks as actionable.
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