surrealql-performance

Optimize SurrealDB performance through record ID and key design.

What this skill does for you

Optimize SurrealDB performance through record ID and key design, indexing strategy, and computed/derived fields. Use when queries are slow, when designing record IDs for locality and range scans, choosing between standard/unique/full-text/vector indexes, verifying index usage with EXPLAIN, or deciding whether to precompute values with computed fields, views, or events. Triggers: slow query, performance, record id design, range scan, DEFINE INDEX, EXPLAIN, computed field, FUTURE, DEFINE TABLE AS SELECT.

Quoted from the skill description in the pinned source

Who made it

Publishersurrealdb

Repositoryagent-skills

Installs301as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the surrealql-performance skill from surrealdb/agent-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: e5eadc5901337f20ad06ab5acf48d8f83bbfc961. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: e5eadc5901337f20ad06ab5acf48d8f83bbfc961. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: e5eadc5901337f20ad06ab5acf48d8f83bbfc961. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/surrealdb/agent-skills
Pinned skill file: View source at revision
Revision: e5eadc5901337f20ad06ab5acf48d8f83bbfc961
Package hash: sha256:ef22f334e057fd713e21431aeab465316b6aa1b543d4460f58a8c9fed45f7665
Licence: MIT