/database-monitoring
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill database-monitoring --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/database-monitoring
Context preview
The summary Claude sees to decide when to auto-load this skill.
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
SKILL.md
database-monitoring.SKILL.mdname: database-monitoring
description: >
Monitor database performance and health. Use when setting up monitoring,
analyzing metrics, or troubleshooting database issues.
Database Monitoring
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Implement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies.
When to Use
- Performance baseline establishment
- Real-time health monitoring
- Capacity planning
- Query performance analysis
- Resource utilization tracking
- Alerting rule configuration
- Incident response and troubleshooting
Quick Start
Minimal working example:
-- View current connections
SELECT
pid,
usename,
application_name,
client_addr,
state,
query_start,
state_change
FROM pg_stat_activity
WHERE state != 'idle'
ORDER BY query_start DESC;
-- Count connections per database
SELECT
datname,
COUNT(*) as connection_count,
MAX(EXTRACT(EPOCH FROM (NOW() - query_start))) as max_query_duration_sec
FROM pg_stat_activity
GROUP BY datname;
-- Find idle transactions
SELECT
pid,
usename,
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Connection Monitoring](references/connection-monitoring.md) | Connection Monitoring | | [Query Performance Monitoring](references/query-performance-monitoring.md) | Query Performance Monitoring | | [Table & Index Monitoring](references/table-index-monitoring.md) | Table & Index Monitoring | | [Performance Schema](references/performance-schema.md) | Performance Schema | | [InnoDB Monitoring](references/innodb-monitoring.md) | InnoDB Monitoring | | [PostgreSQL Monitoring Setup](references/postgresql-monitoring-setup.md) | PostgreSQL Monitoring Setup | | [Automated Monitoring Dashboard](references/automated-monitoring-dashboard.md) | Automated Monitoring Dashboard |
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values
Read more
name: database-monitoring description: > Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
Database Monitoring
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Implement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies.
When to Use
- Performance baseline establishment
- Real-time health monitoring
- Capacity planning
- Query performance analysis
- Resource utilization tracking
- Alerting rule configuration
- Incident response and troubleshooting
Quick Start
Minimal working example:
-- View current connections SELECT pid, usename, application_name, client_addr, state, query_start, state_change FROM pg_stat_activity WHERE state != 'idle' ORDER BY query_start DESC; -- Count connections per database SELECT datname, COUNT(*) as connection_count, MAX(EXTRACT(EPOCH FROM (NOW() - query_start))) as max_query_duration_sec FROM pg_stat_activity GROUP BY datname; -- Find idle transactions SELECT pid, usename, // ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Connection Monitoring](references/connection-monitoring.md) | Connection Monitoring | | [Query Performance Monitoring](references/query-performance-monitoring.md) | Query Performance Monitoring | | [Table & Index Monitoring](references/table-index-monitoring.md) | Table & Index Monitoring | | [Performance Schema](references/performance-schema.md) | Performance Schema | | [InnoDB Monitoring](references/innodb-monitoring.md) | InnoDB Monitoring | | [PostgreSQL Monitoring Setup](references/postgresql-monitoring-setup.md) | PostgreSQL Monitoring Setup | | [Automated Monitoring Dashboard](references/automated-monitoring-dashboard.md) | Automated Monitoring Dashboard |
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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