analysis-design-spec

Enforce a predefined analysis plan for structured data queries.

Updated May 22, 2026
One-click install
npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill analysis-design-spec-shekerkamma
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analysis-design-spec
Source: https://github.com/shekerkamma/peopletech-marketplace/tree/main/plugins/ai-analyst/skills/ai-analyst/analysis-design-spec
Command: npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill analysis-design-spec-shekerkamma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of flawed, inefficient data analysis caused by unstructured, unplanned queries, ensuring every analysis starts with a clear, validated roadmap.

Core Features & Use Cases

  • Embedded Analysis Planning: Automatically integrates analysis design steps into the ask-question and run-analysis workflows, with no need for separate invocation.
  • Structured Query Validation: Defines required metrics, data sources, and query logic upfront to avoid common analysis errors like incorrect cohort definitions or missing data filters.
  • Use Case: When a product analyst needs to measure new feature user retention, this embedded logic first locks in cohort parameters, date ranges, and calculation rules before any data is pulled, ensuring accurate, reproducible results.

Quick Start

Ask the ask-question skill to analyze new feature user retention, and it will automatically follow the embedded analysis design plan to pull and calculate the correct metrics.

Frequently Asked Questions about analysis-design-spec

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

FAQPage Schema
How do I prevent query errors during ad-hoc product analytics?

Pre-planning your data analysis workflows prevents query errors by defining required metrics, data sources, and query logic upfront before execution. This structured approach eliminates flawed cohort definitions and missing filters in ad-hoc queries.

How does embedded analysis planning work for business intelligence queries?

Embedded analysis planning works by automatically integrating design steps directly into your ask-question and run-analysis workflows. It removes manual planning steps by enforcing validation rules that ensure accurate, reproducible query results without separate invocation.

What is the best way to structure data exploration workflows for reproducible results?

The best way to structure data exploration workflows for reproducible results is enforcing a validated roadmap that defines calculation rules and date ranges before pulling data. This ensures every analysis starts with structured query validation.

Do I need to manually invoke a separate analysis design step before running data queries?

No, you do not need to manually invoke a separate analysis design step. The embedded logic automatically integrates analysis design steps into the core ask-question workflow, removing manual planning steps entirely.

When do I need query validation for my data analysis workflows?

You need query validation for data analysis workflows when measuring metrics like new feature user retention. It locks in cohort parameters, date ranges, and calculation rules before any data is pulled to ensure accurate results.