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mssql-performance-reviewlisted

Agentic offline orchestrator for end-to-end SQL Server performance reviews. Forms hypotheses from artifacts or symptoms, dispatches the specialised review skills (tsql-review, sqlplan-review, sqlwait-review, sqlstats-review, sqltrace-review, sqlquerystore-review, sqlprocstats-review, sqldeadlock-review, sqlhadr-review, sqlclusterlog-review, sqlerrorlog-review, sqlspn-review, sqlplan-compare, sqlindex-advisor, sqlplan-batch, sqlmemory-review, sqldiskio-review, sqlencryption-review, sqldbconfig-review, sqlbootstraplog-review), runs an adversarial check on the primary root cause, and produces a consolidated fix priority with explicit evidence chain, risk, and rollback for each recommendation. Use this skill whenever a user has mixed SQL Server artifacts (.sqlplan, .sql, statistics output, trace data, wait stats, deadlock XML, AG / cluster / ERRORLOG, setspn output, Query Store, procstats, memory clerks, file I/O stats, encryption audit, sp_configure output, setup bootstrap logs) and is not sure which specialised
vanterx/mssql-performance-skills · ★ 1 · API & Backend · score 77
Install: claude install-skill vanterx/mssql-performance-skills
# SQL Server Performance Review Orchestrator Skill ## Purpose A dispatch skill that turns a mixed pile of SQL Server artifacts (or a symptom description) into a single, evidence-backed performance review. It does not redefine any checks — it routes work to the 18 specialised review skills, then synthesises their findings into one consolidated report. The orchestrator is **strictly offline**: it reads files the user provides, generates capture-script bundles when artifacts are missing, and emits analysis reports. It never opens a connection to a SQL Server. All execution against the database is the user's action. This skill applies eleven cross-cutting primitives that distinguish it from a naive dispatcher: **Tier 1 — agentic core:** - **Evidence chain** (E-tags) — every finding cites the source artifact, the specialised check ID, the observed value, and the threshold violated, so any recommendation is reproducible from the input set - **Risk-aware recommendations** — every recommended fix carries action, effort, blocking window, risk class, side effects, explicit rollback, and post-deployment verification - **Adversarial root cause check** — after the primary hypothesis is identified, a deliberate pass tries to disprove it; contradicting evidence escalates an alternative hypothesis instead of being suppressed - **Confidence-driven early termination** — once three or more specialised skills converge on the same root cause with HIGH confidence and no active contradiction,