Database Performance
CheckedHelps with database, performance optimization as part of working with databases and data persistence workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aaronontheweb/dotnet-skills --skill database-performance -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aaronontheweb
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned aaronontheweb/dotnet-skills at e426ed93a9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e426ed93a9
- Scanned
- 1 file, 470 lines
About this skill
The database-performance skill enables AI agents to optimize query execution plans, manage connection pools, and tune indexing strategies for relational databases. It helps identify bottlenecks in data retrieval and ensures efficient resource utilization during high-load scenarios.
When to use it
- Diagnosing slow query performance in production environments.
- Tuning index configurations to reduce disk I/O operations.
- Managing database connection limits to prevent timeouts.
- Analyzing execution plans for complex joins or aggregations.
Key capabilities
- Query plan analysis and optimization suggestions.
- Index creation, removal, and performance impact assessment.
- Connection pool monitoring and configuration tuning.
- Resource usage tracking (CPU, memory, I/O) per query.
- Automated recommendations for schema adjustments.
Example prompts
- "Analyze this SQL query and suggest optimizations for better performance."
- "Identify missing indexes that could speed up these frequently run reports."
- "Tune the connection pool settings based on current load patterns."
Tips & gotchas
Ensure you have appropriate database access permissions before running optimization commands. Always test changes in a staging environment first to avoid unintended side effects on live data.