db-efficiency-audit

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更新日2026年7月18日 15:25

Audit database workloads for energy-wasting query and schema patterns — full table scans, missing indexes, SELECT * over-fetching, N+1 query storms, chatty ORMs, oversized instances, missing connection pooling. Use this skill whenever the user shares slow-query logs, EXPLAIN plans, ORM code, schema DDL, or asks why the database is slow/expensive/hot, or wants a database efficiency or sustainability review. Part of Lean Agentic AI Skills; emits lean-findings.json.

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ソース

navveenb

navveenb/lean-agentic-ai-skills

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DB Efficiency Audit

Producer skill. Input: slow-query logs, EXPLAIN/EXPLAIN ANALYZE output, schema, application data-access code. Output: lean-findings.json.

Databases convert bad access patterns into heat with perfect reliability, on every request, forever. This is E-reduction at the hottest point of most stacks.

Subject type: emit subject.type: "database" in findings.

Signatures

Full scans on hot paths — Seq Scan / type=ALL in plans for frequent queries. High. Fix: the specific index (name the columns), or query rewrite.
N+1 storms — loops issuing per-row queries (visible in ORM code or repeated-shape log entries). High. Fix: eager loading / JOIN / batched IN.
SELECT * over wire for wide tables when few columns are used. Medium. Reduces E and network.
Missing pagination — unbounded result sets to app or API. Medium-high.
Chatty transactions — many round trips where one statement/procedure would do. Medium.
No connection pooling — connection churn burning CPU on handshakes. Medium.
Index bloat — many near-duplicate or unused indexes (from stats if provided) taxing every write. Medium.
Wrong workload home — analytics scans hammering the OLTP primary → offload to replica/warehouse. Medium-high, also an architecture finding.
Cacheable reads uncached — identical hot queries with no cache layer; route design to caching-strategy-designer, record the finding here.

Honesty rules

Indexes cost writes and storage — say so per recommendation. Never claim a plan improvement without a plan in hand; "likely index candidate — verify with EXPLAIN" is the honest phrasing. Evidence = actual log lines/plan fragments.

Cost signal (countable)

Cost drivers: bytes scanned per query (warehouse pricing) and query-hours / DBUs (compute pricing). Where slow-query logs or profiles show these, quote the counted value in cost_signal.observed and describe direction qualitatively.

Not this skill's job

Instance sizing (right-size-compute), cache design (caching-strategy-designer), storage tiering (storage-lifecycle-audit).

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name

db-efficiency-audit

description

DB Efficiency Audit

Producer skill. Input: slow-query logs, EXPLAIN/EXPLAIN ANALYZE output, schema, application data-access code. Output: lean-findings.json.

Databases convert bad access patterns into heat with perfect reliability, on every request, forever. This is E-reduction at the hottest point of most stacks.

Subject type: emit subject.type: "database" in findings.

Signatures

Full scans on hot paths — Seq Scan / type=ALL in plans for frequent queries. High. Fix: the specific index (name the columns), or query rewrite.
N+1 storms — loops issuing per-row queries (visible in ORM code or repeated-shape log entries). High. Fix: eager loading / JOIN / batched IN.
SELECT * over wire for wide tables when few columns are used. Medium. Reduces E and network.
Missing pagination — unbounded result sets to app or API. Medium-high.
Chatty transactions — many round trips where one statement/procedure would do. Medium.
No connection pooling — connection churn burning CPU on handshakes. Medium.
Index bloat — many near-duplicate or unused indexes (from stats if provided) taxing every write. Medium.
Wrong workload home — analytics scans hammering the OLTP primary → offload to replica/warehouse. Medium-high, also an architecture finding.
Cacheable reads uncached — identical hot queries with no cache layer; route design to caching-strategy-designer, record the finding here.

Honesty rules

Cost signal (countable)

Not this skill's job

Instance sizing (right-size-compute), cache design (caching-strategy-designer), storage tiering (storage-lifecycle-audit).