qcsd-ideation-swarm

Orchestrate a multi-agent swarm to assess epics against HTSM v6.3 quality criteria.

2|2|Updated Aug 23, 2025
One-click install
npx skills add https://github.com/summarybotng/summarybot-ng --skill qcsd-ideation-swarm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qcsd-ideation-swarm
Source: https://github.com/summarybotng/summarybot-ng/tree/main/.claude/skills/qcsd-ideation-swarm
Command: npx skills add https://github.com/summarybotng/summarybot-ng --skill qcsd-ideation-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the initial quality assessment of user stories and requirements before development begins, ensuring viability and testability early in the lifecycle.

Core Features & Use Cases

  • Automated Quality Assessment: Analyzes requirements for quality criteria, risks, and testability using multiple specialized agents.
  • Early Gatekeeping: Provides a GO/CONDITIONAL/NO-GO recommendation to prevent low-quality stories from entering development.
  • Use Case: Before a sprint starts, feed your user stories into this Skill to get an automated assessment of their quality, identify potential risks, and ensure they are well-defined and testable, saving significant rework later.

Quick Start

Use the qcsd-ideation-swarm skill to analyze the epic 'Build user authentication system with OAuth2'.

Frequently Asked Questions about qcsd-ideation-swarm

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

FAQPage Schema
How do I validate user story testability before sprint planning?

To validate user story testability before sprint planning, you can use a multi-agent swarm to analyze requirements against quality criteria and perform risk storming. This shift-left quality engineering approach outputs a GO, CONDITIONAL, or NO-GO recommendation to gatekeep stories early.

What is shift-left quality engineering for epics and user stories?

Shift-left quality engineering for epics and user stories is the process of assessing requirements for viability and testability during the ideation phase. It flags potential risks early, preventing low-quality stories from entering development and saving significant rework later.

How do I perform automated risk assessment on requirements during ideation?

You can perform automated risk assessment on requirements during ideation by feeding epics into a multi-agent swarm. The swarm detects flags, executes core agents, conditionally spawns additional agents, and synthesizes a decision report identifying specific risks.

Can I use a multi-agent swarm to check requirements against HTSM quality criteria?

Yes, you can use a multi-agent swarm to check requirements against HTSM v6.3 quality criteria. The swarm orchestrates specialized agents to assess testability and risks, generating a synthesized GO or NO-GO recommendation based on the HTSM framework.

What are the limitations of automated requirements validation for sprint planning?

Automated requirements validation provides a GO, CONDITIONAL, or NO-GO recommendation based on HTSM v6.3 criteria and risk storming, but it acts as an early gatekeeping assessment. Final sprint planning decisions still require human review of the generated report and flagged conditions.