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qcsd-refinement-swarm

Use when running Sprint Refinement sessions with SFDIPOT product factors, generating BDD scenarios, or validating requirements in the QCSD Refinement phase.

The English summary is being prepared. Showing the original description.

proffesor-for-testing/agentic-qe515 stars(GitHub 515 + cccskills 0)

Run score Not tested

See how to install

Files included (13)

  • SKILL.md5.7 KB
  • evals/qcsd-refinement-swarm.yaml3.1 KB
  • schemas/output.json18.6 KB
  • scripts/validate-config.json442 B
  • steps/01-flag-detection.md3.1 KB
  • steps/02-core-agents.md1.8 KB
  • steps/03-batch1-results.md1.1 KB
  • steps/04-conditional-agents.md1.3 KB
  • steps/05-decision-synthesis.md1.4 KB
  • steps/06-report-generation.md1.3 KB
  • steps/07-learning-persistence.md1.1 KB
  • steps/08-transformation.md1.1 KB
  • steps/09-final-output.md2.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

QCSD Refinement Swarm v1.0

Shift-left quality engineering swarm for Sprint Refinement sessions.


Overview

The Refinement Swarm takes user stories that passed Ideation and prepares them for Sprint commitment using SFDIPOT product factors, BDD scenarios, and INVEST validation. It renders a READY / CONDITIONAL / NOT-READY decision.

QCSD Phase Positioning

PhaseSwarmDecisionWhen
Ideationqcsd-ideation-swarmGO / CONDITIONAL / NO-GOPI/Sprint Planning
Refinementqcsd-refinement-swarmREADY / CONDITIONAL / NOT-READYSprint Refinement
Developmentqcsd-development-swarmSHIP / CONDITIONAL / HOLDDuring Sprint
Verificationqcsd-cicd-swarmRELEASE / REMEDIATE / BLOCKPre-Release / CI-CD
Productionqcsd-production-swarmHEALTHY / DEGRADED / CRITICALPost-Release

Parameters

  • STORY_CONTENT: User story with acceptance criteria (required)
  • OUTPUT_FOLDER: Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/refinement/)

ENFORCEMENT RULES - READ FIRST

RuleEnforcement
E1MUST spawn ALL THREE core agents in Step 2.
E2MUST put all parallel Task calls in a SINGLE message.
E3MUST STOP and WAIT after each batch.
E4MUST spawn conditional agents if flags are TRUE.
E5MUST apply READY/CONDITIONAL/NOT-READY logic exactly.
E6MUST generate the full report structure.
E7Each agent MUST read its reference files before analysis.
E8MUST apply qe-test-idea-rewriter transformation in Step 8.
E9MUST execute Step 7 learning persistence.

Step Execution Protocol

Execute steps sequentially by reading each step file with the Read tool.

Steps

  1. Flag Detection -- steps/01-flag-detection.md -- Analyze story content, evaluate all 7 flags
  2. Core Agents -- steps/02-core-agents.md -- Spawn qe-product-factors-assessor, qe-bdd-generator, qe-requirements-validator
  3. Batch 1 Results -- steps/03-batch1-results.md -- Wait and extract metrics
  4. Conditional Agents -- steps/04-conditional-agents.md -- Spawn flagged agents
  5. Decision Synthesis -- steps/05-decision-synthesis.md -- Apply READY/CONDITIONAL/NOT-READY logic
  6. Report Generation -- steps/06-report-generation.md -- Generate refinement report
  7. Learning Persistence -- steps/07-learning-persistence.md -- Store findings to memory
  8. Transformation -- steps/08-transformation.md -- Run test idea rewriter on all test ideas
  9. Final Output -- steps/09-final-output.md -- Display completion summary

Execution Instructions

  1. Use the Read tool to load the current step file
  2. Execute the step's instructions completely
  3. Verify all success criteria are met
  4. Pass output as context to next step
  5. If a step fails, halt and report

Resume Support

To resume from a specific step: specify --from-step N.


Agent Inventory

AgentTypeDomainBatch
qe-product-factors-assessorCorerequirements-validation1
qe-bdd-generatorCorerequirements-validation1
qe-requirements-validatorCorerequirements-validation1
qe-contract-validatorConditional (HAS_API)contract-testing2
qe-impact-analyzerConditional (HAS_REFACTORING)code-intelligence2
qe-dependency-mapperConditional (HAS_DEPENDENCIES)code-intelligence2
qe-middleware-validatorConditional (HAS_MIDDLEWARE)enterprise-integration2
qe-odata-contract-testerConditional (HAS_SAP_INTEGRATION)enterprise-integration2
qe-sod-analyzerConditional (HAS_AUTHORIZATION)enterprise-integration2
qe-test-idea-rewriterTransformation (always)test-generation3

Total: 10 agents (3 core + 6 conditional + 1 transformation)


Key Principle

Refinement quality determines sprint success. This swarm ensures stories are testable, complete, and ready for development commitment.

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