Promote validated PRDs into a sprint and generate an aggregated sprint-manifest.md.
npx skills add https://github.com/russosalv/NONoise --skill sprint-manifest
Please help me install this Agent Skill. Skill: sprint-manifest Source: https://github.com/russosalv/NONoise/tree/main/packages/skills/sprint-manifest Command: npx skills add https://github.com/russosalv/NONoise --skill sprint-manifest
The sprint-manifest skill coordinates the promotion of validated PRDs into a sprint and creates a single aggregated sprint-manifest.md that guides teams through macro-functional tasks, dependencies, and impact analysis.
Run sprint-manifest to promote validated PRDs and generate the sprint manifest for the target sprint.
High-intent search queries and answers about installing and using this skill.
To promote validated PRDs into a sprint manifest, the skill compiles multiple PRDs from docs/prd/<area>/ into docs/sprints/Sprint-N/<area>/, updates their status to promoted, and generates a single aggregated sprint-manifest.md file.
A sprint manifest is an aggregated markdown file that coordinates macro-functional tasks and dependencies across promoted PRDs, deriving user stories and breaking work into macro tasks with CL1/CL2/CL3 confidence tagging.
When adding a new PRD to an open sprint, the skill automatically runs impact analysis against the existing sprint manifest and appends changelog entries to track dependencies and coordinate macro tasks.
Yes, you can update an existing sprint manifest by regenerating it from newly promoted PRDs, ensuring the aggregated file reflects the latest macro tasks, dependencies, and impact analysis.
Sprint planning requires CL1/CL2/CL3 confidence tagging for macro tasks to satisfy macro-granularity principles, allowing teams to assess the certainty and impact of derived user stories within the sprint manifest.
The best way to coordinate dependencies across multiple PRDs is by compiling a single aggregated sprint manifest that maps macro-functional tasks, runs impact analysis, and aligns work under unified macro-granularity.
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