What is qcsd-refinement-swarm?
QCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation. Source: proffesor-for-testing/agentic-qe.
QCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation.
Quickly install qcsd-refinement-swarm AI skill to your development environment via command line
Source: proffesor-for-testing/agentic-qe.
The Refinement Swarm takes user stories that passed Ideation and prepares them for Sprint commitment. Where the Ideation Swarm asks "Should we build this?" using HTSM quality criteria, the Refinement Swarm asks "How should we test this?" using SFDIPOT product factors, BDD scenarios, and INVEST validation.
| Framework | HTSM v6.3 (10 categories) | SFDIPOT (7 factors, 37 subcategories) | | Agents | 9 (3 core + 6 conditional) | 10 (3 core + 6 conditional + 1 transformation) | | Core Output | Quality Criteria HTML report | BDD Gherkin scenarios | | Decision | GO / CONDITIONAL / NO-GO | READY / CONDITIONAL / NOT-READY |
| Flags | HASUI, HASSECURITY, HASUX, HASMIDDLEWARE, HASSAPINTEGRATION, HASAUTHORIZATION | HASAPI, HASREFACTORING, HASDEPENDENCIES, HASSECURITY, HASMIDDLEWARE, HASSAPINTEGRATION, HASAUTHORIZATION | | Phase | PI Planning / Sprint Planning | Sprint Refinement | | Final Step | Report generation | Test idea rewriter transformation |
Stable fields and commands for AI/search citations.
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-refinement-swarmQCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation. Source: proffesor-for-testing/agentic-qe.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-refinement-swarm Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/proffesor-for-testing/agentic-qe