wan-huiyan-dashboard-audit-toolkit
End-of-session handoff with bucket-aware dispatch across the canonical 7-bucket docs/ taxonomy (aligned with memory-hygiene v3.3), doc-freshness reverse-lint + skill-freshness audit, and future-to-do emission as GitHub issues. Captures knowledge, routes artifacts to decisions/runbooks/analysis/references/reviews/handoffs/deliverables, updates memory, prepares next-session prompts, and catches stale normative guidance.
Mid-run agent-to-agent handoff for long autonomous workflows. Lean parent orchestrator + file-first subagents + successor dispatch when context pressure rises.
Audit a whole live data-dashboard for numbers correctness AND language fit in one synchronous ~30–45 min round of parallel research subagents — the methodology spine of this toolkit.
Diagnose 'the page renders the wrong number even though the backend payload has been correct for months' — the most common fact-check fix-shape (consumer not wired to producer).
Write precise client-facing definitions of dashboard KPIs by reading the backing SQL — not the display label, the variable name, or the column alias.
GitHub auto-close on squash-merge only catches ONE issue per PR — the rest stay OPEN. Path A prevents; Path B recovers. The operational gotcha when shipping audit fix-bundles at scale.