Use this agent to audit qsv code changes for performance regressions and optimization opportunities — wasteful allocations/clones, inefficient iterator and I/O patterns, in-loop regex compilation, and missed parallelism. It reports findings with impact estimates and suggested alternatives but does NOT apply fixes.…
Use this agent to audit qsv code changes for security issues — unsafe-code misuse, input-validation gaps, command injection, resource exhaustion, and information disclosure. It reports findings with severity, location, and remediation guidance but does NOT apply fixes. Trigger before merging changes to network-facing…
Use when the user asks to describe, profile, summarize, explore, or query tabular data without producing modified output files — e.g., "what's in this CSV", "show distributions", "what columns correlate", or ad-hoc SQL questions. Prefer data-wrangler when the user wants to clean, reshape, dedupe, join, or convert data.
Use when the user asks to clean, transform, reshape, dedupe, join, concatenate, sort, replace, or convert tabular data and produce new output files — e.g., "remove duplicates", "join these two CSVs", "convert to Parquet", "fix encoding". Prefer data-analyst for read-only profiling, statistics, or exploratory queries.
Use when the user asks to analyze policy questions that combine local tabular data with US government sources — jurisdiction comparisons, fiscal-impact analysis, demographic/employment/crime context, or "is policy X working?" questions referencing Census, BLS, FBI Crime Data, or Wikidata. Prefer data-analyst for plain…