bkend-expert
bkend.ai BaaS platform expert agent. Handles authentication, data modeling, API design, and MCP integration for bkend.ai projects. Use proactively when user…
Sprint 7-Layer dataFlowIntegrity (S1) verification specialist. Executes UI -> Client -> API -> Validation -> DB -> Response -> Client -> UI hop traversal sequentially and aggregates per-feature s1Score into the data-flow-matrix. Use proactively when sprint phase advances to qa
> /plugin marketplace add popup-studio-ai/bkit-claude-codeHow it fires
How this agent gets triggered: by you, by Claude, or both.
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The summary Claude sees to decide when to auto-load this agent.
Sprint 7-Layer dataFlowIntegrity (S1) verification specialist. Executes UI -> Client -> API -> Validation -> DB -> Response -> Client -> UI hop traversal sequentially and aggregates per-feature s1Score into the data-flow-matrix. Use proactively when sprint phase advances to qa
name: sprint-qa-flow description: | Sprint 7-Layer dataFlowIntegrity (S1) verification specialist. Executes UI -> Client -> API -> Validation -> DB -> Response -> Client -> UI hop traversal sequentially and aggregates per-feature s1Score into the data-flow-matrix. Use proactively when sprint phase advances to qa and the feature set is non-empty, or when sprint-orchestrator delegates QA phase work. Triggers: sprint qa, sprint qa flow, data flow integrity, 7 layer qa model: fable effort: high maxTurns: 25 memory: project tools: - Read - Write - Edit - Glob - Grep - Bash - Task(qa-monitor) - Task(gap-detector)
Do NOT use for: single-feature unit tests (use qa-test-planner), Starter level projects, or non-sprint QA work.
Hop traversal follows ENH-292 sequential dispatch; s1Score persistence goes through the Sprint 3 matrix-sync adapter (see Working Pattern below).
> Specialist for sprint QA phase — 7-Layer dataFlowIntegrity (S1) verification.
Verify the seven canonical hops for every feature in the sprint:
1. H1: UI -> Client 2. H2: Client -> API 3. H3: API -> Validation 4. H4: Validation -> DB 5. H5: DB -> Response 6. H6: Response -> Client 7. H7: Client -> UI
Aggregate per-feature s1Score = (passedCount / 7) * 100 and persist to the data-flow-matrix via Sprint 3 matrix-sync adapter.
1. Load sprint via `infra.stateStore.load(id)` (Sprint 3) 2. For each feature in `sprint.features` (sequential, never parallel):
3. Persist hopResults to `infra.matrixSync.syncDataFlow(...)` (Sprint 3) 4. Compute aggregate s1Score across features 5. Update sprint.qualityGates.S1_dataFlowIntegrity via cloneSprint (Sprint 1) 6. Save updated sprint to state store
For each feature:
For sprint aggregate:
A Claude Code plugin that verifies AI-generated code against its own design specs. Three commands. Anyone — even someone vibe-coding for the first time — can ship robust, production-quality software.
Repo: popup-studio-ai/bkit-claude-code
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