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sei-analytics

Analyze sprint analytics and investment allocation from Harness SEI MCP.

80|16|Updated Mar 11, 2026
Search Tags:#analytics#release-readiness#sprint-velocity#sei#engineering-productivity#investment-allocation#capacity-forecasting
One-click install
npx skills add https://github.com/harness/harness-skills --skill sei-analytics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sei-analytics
Source: https://github.com/harness/harness-skills/tree/main/skills/sei-analytics
Command: npx skills add https://github.com/harness/harness-skills --skill sei-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gathers and interprets sprint analytics, investment allocation, and capacity data from Harness SEI MCP to provide clear, actionable insights for planning and delivery.

Core Features & Use Cases

  • Sprint Analytics: velocity, estimation accuracy, scope changes, and trend analysis across sprints.
  • Investment Allocation: time and effort breakdown by category to aid prioritization.
  • Sprint Planning & Capacity Forecast: data-driven capacity estimates to inform sprint commitment.
  • Release Readiness: readiness checks and go/no-go criteria for releases.

Quick Start

Ask it to analyze the velocity, estimation accuracy, and capacity forecasts for your team over the last N sprints.

Frequently Asked Questions about sei-analytics

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

FAQPage Schema
How do I analyze sprint velocity and estimation accuracy for my engineering team?▼

Sprint velocity and estimation accuracy are analyzed by retrieving sprint analytics data from Harness SEI MCP, allowing you to track trends, evaluate scope changes, and generate actionable insights for delivery planning.

What is the best way to forecast sprint capacity using historical sprint data?▼

Sprint capacity forecasting uses historical sprint analytics from SEI MCP to generate data-driven capacity estimates, helping teams make informed sprint commitments based on past velocity and effort breakdowns.

Can I assess release readiness using sprint analytics and investment allocation data?▼

Release readiness assessments use sprint analytics and investment allocation data from SEI MCP to perform readiness checks and evaluate go/no-go criteria for upcoming releases across teams and projects.

How does investment allocation analysis help with engineering productivity?▼

Investment allocation analysis breaks down time and effort by category using SEI MCP data, helping teams prioritize work and optimize engineering productivity through clearer visibility into where development effort is spent.

Does SEI MCP work with sprint planning tools for capacity calculations and velocity tracking?▼

SEI MCP enables MCP-enabled data retrieval and reporting for sprint planning, satisfying velocity tracking, estimation accuracy, and capacity calculations across multiple teams and projects without additional dependencies.

Why do my sprint velocity trends fluctuate and how can I identify scope changes?▼

Sprint velocity trends fluctuate due to scope changes and estimation inaccuracies, which can be identified by analyzing sprint analytics trend data retrieved from SEI MCP across recent sprints.

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