Mysql Query Analyser
- 1 installs
- 3 repo stars
- Updated May 16, 2026
- dotlabshq/crux
Reviews MySQL or MariaDB query behavior using explain plans, slow-query context, and schema awareness to recommend practical tuning steps.
About
Analyzes MySQL and MariaDB queries against explain plans, slow-query context, and index evidence to identify likely bottlenecks. A developer uses it when a query is slow or needs an index and performance review.
- Identifies bottleneck class from explain and schema evidence
- Recommends the next tuning move in plain language
Mysql Query Analyser by the numbers
- 1 all-time installs (skills.sh)
- Ranked #765 of 911 Databases skills by installs in the Skillselion catalog
- Data as of Jul 8, 2026 (Skillselion catalog sync)
npx skills add https://github.com/dotlabshq/crux --skill mysql-query-analyserAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 1 |
|---|---|
| repo stars | ★ 3 |
| Last updated | May 16, 2026 |
| Repository | dotlabshq/crux ↗ |
What it does
Reviews MySQL or MariaDB query behavior using explain plans, slow-query context, and schema awareness to recommend practical tuning steps.
Files
mysql-query-analyser
Owner: mysql-admin Type: read-write Approval: No
---
What I Do
Produces a practical MySQL query analysis focused on likely bottlenecks, access patterns, and next-tuning steps.
---
When to Use Me
- Slow query investigation
- Index review request
- Performance tuning direction needed
---
Context Requirements
Requires already loaded:
{framework-home}/agents/mysql-admin/AGENT.md
.crux/workspace/mysql-admin/MEMORY.md
Estimated token cost: ~650 tokens
Unloaded after: task completion---
Inputs
| Input | Source | Required |
|---|---|---|
query | user | Yes |
target-database | user | No |
performance-context | user | No |
---
Steps
1. Confirm query and performance context
2. Review available explain, schema, and index evidence
3. Identify likely bottleneck class
4. Recommend the next tuning move in plain language
5. Skill complete — unload---
Output
Writes to: no file required by default Format: markdown
---
Error Handling
| Condition | Action |
|---|---|
| Query context too thin | ask for query, table, and timing evidence |
| Tuning requires app-level change | escalate to backend-developer |
| Unexpected failure | Stop. Write error to bus. Notify user. |
Related skills
Lark BaseLet their coding agents read from, write to, and query structured data stored in Lark Base (Feishu) spreadsheets and databases.493k
Azure KustoRun fast KQL queries against Azure Data Explorer for log analytics, telemetry, and time-series data.484k1.3k
Lark SheetsCreate, read, update, and export spreadsheets inside Lark (Feishu) directly from their AI coding agent.389k15.9k
Supabase Postgres Best PracticesAutomatically apply Supabase Postgres performance rules during query writing, schema design, and database optimization.313k2.4k
Firebase Data ConnectGenerate complete, production-ready Firebase Data Connect GraphQL schemas and queries for complex relational data models.112k392Firebase FirestoreAdd Cloud Firestore read/write capabilities to an Android Kotlin app using the official Firebase SDK.77k392