us-readability-check

Analyze User Stories for technical jargon and contextual clarity.

5|1|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/tikazyq/agentic-spec-forge --skill us-readability-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: us-readability-check
Source: https://github.com/tikazyq/agentic-spec-forge/tree/main/AGENTIC_SPEC_FORGE/spec_stage_skill/requirements/us-readability-check
Command: npx skills add https://github.com/tikazyq/agentic-spec-forge --skill us-readability-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of User Stories (US) containing technical jargon or being too concise, making them difficult for non-technical stakeholders like Product Managers, Business Analysts, or clients to understand. It ensures US are clear, descriptive, and business-friendly.

Core Features & Use Cases

  • Technical Term Detection: Identifies and flags jargon like "API," "JSON," "SQL," etc., suggesting business-friendly alternatives.
  • Readability Assessment: Checks for overly concise expressions and lack of context, prompting for more descriptive language.
  • Scenario Enrichment: Helps identify missing elements like specific roles, times, or locations to make the US more concrete.
  • Use Case: After drafting a set of User Stories for a new e-commerce feature, run this Skill to ensure they are easily understood by the marketing team before client review, preventing misunderstandings and rework.

Quick Start

Run the us-readability-batch command to check all user stories in the requirements directory.

Frequently Asked Questions about us-readability-check

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

FAQPage Schema
How do I check user stories for technical jargon to ensure non-technical stakeholders understand them?

To check user stories for technical jargon, you can analyze the text to detect terms like API or SQL and replace them with business-friendly alternatives. This ensures clarity for non-technical stakeholders by providing actionable readability feedback.

What is the best way to assess the readability and conciseness of agile user stories?

Assessing the readability of agile user stories involves checking for overly concise expressions and missing contextual details. This process identifies missing roles, times, or locations to make the requirements more concrete and descriptive for business users.

Can I batch process multiple user story documents in my requirements directory?

Yes, you can batch process multiple user story documents by running a batch command. This analyzes all user story files within the specified requirements directory to ensure they comply with agile best practices.

How do I enrich user stories with missing scenario context for agile requirements analysis?

To enrich user stories with missing scenario context, analyze the text to identify and prompt for specific missing elements. This helps add necessary roles, times, or locations, making the agile requirements more concrete and preventing client misunderstandings.

Why do my user stories fail review with marketing teams and clients?

User stories often fail review because they contain technical jargon or lack descriptive context, making them difficult for non-technical stakeholders to understand. Analyzing them for readability ensures they are clear and business-friendly before client review.