story-prioritization
story-prioritization is a Prioritisation & product planning skill for AI agents, published by josemerca in the mercadona-user-story-toolkit repository on GitHub. Skillspace rates story-prioritization D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Prioriza user stories validadas usando 5 lentes ponderadas (Value, Learning, Dependencies, Risk of Delay, Inverse Complexity) y genera batches iterativos de entrega. Incluye deteccion de patrones waterfall y reglas anti-waterfall que garantizan que cada batch entrega valor usuario. TRIGGERS: priorizar stories, ordenar backlog, batches de entrega, "en que orden entregamos?", "priorizar backlog", prioritize stories, "organizar stories por prioridad", "proponer orden de entrega" INTEGRACION: Se ejecuta DESPUES de /split-stories (o /validate-stories). Input: stories validadas con scoring 6 dimensiones. Output: backlog priorizado en batches iterativos con justificacion.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 24
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic weighted user-story prioritisation and batching method
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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