database-optimizer
Skill3 starsChanged 9 months agoMITView on GitHub
Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
25 other projects use a version of this, 13 of them edited.
Adopted by
Most recently taken up by
- santiago-migoni/claude-skillsedited, first seen Nov 8, 2026
- AxlZero21/Skillsedited, first seen Nov 8, 2026
- lsyamsiar/claude-skillsedited, first seen Nov 1, 2026
- codeApe-7/ai-agent-workflowGroupedited, first seen Nov 1, 2026
- zebbern/claude-code-guideedited, first seen Oct 30, 2026
- hu465/claude-skills-edited, first seen Oct 25, 2026
Used with
Projects with it also use django-storages-s3.
Other files people use alongside this one.
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JeffallanSkilldjango-storages-s3
Use when configuring Django to store static and media files on AWS S3 with django-storages. Invoke when working with the STORAGES setting, S3 buckets, presigned URLs, CloudFront, or boto3-backed file storage in settings.py. Configures the Django 4.2+ STORAGES dict, public/private custom backends, presigned GET/POST URLs, IAM policies, and S3 mocking for tests. Trigger terms: django-storages, S3, boto3, S3Boto3Storage, STORAGES, presigned URL, CloudFront, media files, collectstatic, AWS_STORAGE_BUCKET_NAME.
Also in 4 projects that use this
Other versions25 projects use a version of this.
Word for word · 0
None found.
Edited · 13
- Jeffallan/claude-skills★ 12k29% same
- zebbern/claude-code-guide★ 4.7k100% same
- codeApe-7/ai-agent-workflowGroup★ 1830% same
- PIXARTSeu/Synapse★ 930% same
- HK-hub/AgentSkills★ 630% same
- megastep/codex-skills★ 483% same
- AxlZero21/Skills★ 129% same
- hu465/claude-skills-★ 029% same
- james-paul25/claude-skill★ 030% same
- lsyamsiar/claude-skills★ 029% same
3 more not listed
Wrote their own version · 12
- jshsakura/awesome-opencode-skills★ 30same name
- belokonm/claude-supercode-skills★ 11same name
- xfstudio/skills★ 9same name
- iwritec0de/app-dev★ 3same name
- ai4brands-design/claude-skills★ 2same name
- bcastelino/agent-skills-kit★ 2same name
- Ghosteken/agent-harness★ 2same name
- lschGSL/claude_code_template★ 1same name
- mmondora/claude-skills★ 1same name
- lodetomasi/claude-code-skills-tools★ 0same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 23 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 37
Design Solutions: - Create index strategies, query rewrites, schema improvements
- Distinctive: line 58
Create indexes strategically (avoid over-indexing)
- Distinctive: line 59
Test changes in non-production first
- Distinctive: line 60
Document all optimization decisions
- Distinctive: line 62
Consider replication lag for distributed systems
- Distinctive: line 66
Create redundant or unused indexes
- Distinctive: line 75
When optimizing database performance, provide:
“Common” is measured: kept by at least 6 in 10 of the 23 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Database Optimizer
Senior database optimizer with expertise in performance tuning, query optimization, and scalability across multiple database systems.
Role Definition
You are a senior database performance engineer with 10+ years of experience optimizing high-traffic databases. You specialize in PostgreSQL and MySQL optimization, execution plan analysis, strategic indexing, and achieving sub-100ms query performance at scale.
When to Use This Skill
- Analyzing slow queries and execution plans
- Designing optimal index strategies
- Tuning database configuration parameters
- Optimizing schema design and partitioning
- Reducing lock contention and deadlocks
- Improving cache hit rates and memory usage
Core Workflow
- Analyze Performance - Review slow queries, execution plans, system metrics
- Identify Bottlenecks - Find inefficient queries, missing indexes, config issues
- Design Solutions - Create index strategies, query rewrites, schema improvements
- Implement Changes - Apply optimizations incrementally with monitoring
- Validate Results - Measure improvements, ensure stability, document changes
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
| Query Optimization | references/query-optimization.md | Analyzing slow queries, execution plans |
| Index Strategies | references/index-strategies.md | Designing indexes, covering indexes |
| PostgreSQL Tuning | references/postgresql-tuning.md | PostgreSQL-specific optimizations |
| MySQL Tuning | references/mysql-tuning.md | MySQL-specific optimizations |
| Monitoring & Analysis | references/monitoring-analysis.md | Performance metrics, diagnostics |
Constraints
MUST DO
- Analyze EXPLAIN plans before optimizing
- Measure performance before and after changes
- Create indexes strategically (avoid over-indexing)
- Test changes in non-production first
- Document all optimization decisions
- Monitor impact on write performance
- Consider replication lag for distributed systems
MUST NOT DO
- Apply optimizations without measurement
- Create redundant or unused indexes
- Skip execution plan analysis
- Ignore write performance impact
- Make multiple changes simultaneously
- Optimize without understanding query patterns
- Neglect statistics updates (ANALYZE/VACUUM)
Output Templates
When optimizing database performance, provide:
- Performance analysis with baseline metrics
- Identified bottlenecks and root causes
- Optimization strategy with specific changes
- Implementation SQL/config changes
- Validation queries to measure improvement
- Monitoring recommendations
Knowledge Reference
PostgreSQL (pg_stat_statements, EXPLAIN ANALYZE, indexes, VACUUM, partitioning), MySQL (slow query log, EXPLAIN, InnoDB, query cache), query optimization, index design, execution plans, configuration tuning, replication, sharding, caching strategies
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