Plan software delivery with Monte Carlo forecasting and WIP optimization.
npx skills add https://github.com/felixgeelhaar/skills --skill project-expert-felixgeelhaar
Please help me install this Agent Skill. Skill: project-expert Source: https://github.com/felixgeelhaar/skills/tree/main/project-expert Command: npx skills add https://github.com/felixgeelhaar/skills --skill project-expert-felixgeelhaar
Provides a structured, thinking-partner approach to shaping work, forecasting delivery, managing risk, and planning releases for software projects using Shape Up and Kanban.
Describe your project scope and appetite, then generate a shaped delivery plan with Monte Carlo forecasting and WIP optimization.
High-intent search queries and answers about installing and using this skill.
Probabilistic forecasting with Monte Carlo simulations allows you to predict delivery dates by analyzing historical cycle times and WIP limits, producing likelihood ranges for project completion rather than single-point estimates.
WIP management and cycle-time optimization in Kanban involve constraining work-in-progress to reduce context switching and flow bottlenecks, ultimately stabilizing throughput and making delivery cadences more predictable.
Shaping work in Shape Up requires defining project scope and appetite, then structuring the problem at the right level of abstraction before betting on it, ensuring teams build valuable features within fixed timeboxes.
Yes, probabilistic forecasting integrates with both Shape Up and Kanban release planning by applying flow metrics to evaluate delivery plans, surface unknowns, and track risks across different project management scenarios.
Delivery planning often misses targets due to unmanaged constraints and untested assumptions; applying Socratic evaluation to your plans surfaces these unknowns and integrates flow metrics into decision making for realistic schedules.
Shape Up may not suit projects requiring continuous deployment or lacking clear appetites, as it depends on fixed timeboxes and distinct shaping cycles rather than continuous flow or open-ended backlogs.
hoavdcAnalyzes Kanban flow data to identify bottlenecks and forecast deliveries.
alexgrebeshok-coderForecast project completion dates and final costs using Earned Value Management and Monte Carlo simulations.
markus41Configure Kanban boards with WIP limits and compute flow metrics.
legioncodeincDiagnoses estimation dysfunctions and applies probabilistic forecasting methods to software delivery predictions.
