metodologia-execution-burndown

Track daily throughput with burndown charts and Monte Carlo projections.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/JaviMontano/metodologia-propuesta-agent-public --skill metodologia-execution-burndown
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metodologia-execution-burndown
Source: https://github.com/JaviMontano/metodologia-propuesta-agent-public/tree/main/.claude/skills/specialized/execution-burndown
Command: npx skills add https://github.com/JaviMontano/metodologia-propuesta-agent-public --skill metodologia-execution-burndown

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams forecast delivery dates and manage execution risk by tracking daily throughput through burndown charts, velocity dashboards, and Monte Carlo projections.

Core Features & Use Cases

  • Burndown dashboards showing plan vs actual to surface deviations early.
  • Velocity tracking across sprints and by individual developers.
  • Probabilistic forecasts using Monte Carlo to produce P50/P85/P95 delivery windows.
  • Ramp-up and onboarding modeling to reflect 1 FTE delivering features per day after ramp.
  • Risk signals, adjustment recommendations, and scenario planning for scope changes.
  • Ready-made output templates and guidance in Spanish to communicate findings.

Quick Start

Configura un burndown inicial para tu proyecto y genera el primer informe de progreso.

Frequently Asked Questions about metodologia-execution-burndown

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast project completion dates using a burndown chart?

Monte Carlo forecasting uses your daily throughput data to run probabilistic simulations, producing P50, P85, and P95 delivery windows to help manage execution risk and surface deviations early.

What is the best way to track sprint velocity and manage execution risk?

The best way to track sprint velocity and manage execution risk is by using velocity dashboards to monitor daily throughput against the 1 feature per day baseline, surfacing plan vs actual deviations early.

How does Monte Carlo forecasting work for agile project delivery?

Monte Carlo forecasting works for agile delivery by simulating daily throughput data to produce probabilistic P50, P85, and P95 delivery windows, enabling scenario planning and execution risk management.

Does this burndown approach work for teams with developer ramp-up periods?

Yes, this burndown approach accommodates developer ramp-up periods by modeling onboarding phases to reflect 1 FTE delivering 1 feature per day after ramp, ensuring accurate velocity tracking.

When do I need to decompose features to 3 story points for velocity tracking?

You need to decompose features to 3 story points or less for velocity tracking when following the 1 feature per day baseline, ensuring daily throughput remains consistent for accurate burndown generation.