Using Sqlite As A Key Value Store
CheckedStores and retrieves data efficiently using SQLite's key-value capabilities for temporary storage and quick lookups.
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 rodydavis/skills --skill using-sqlite-as-a-key-value-store -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
rodydavis
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 rodydavis/skills at 804913dcbe.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 804913dcbe
- Manifest
- skills/sqlite_key-value/SKILL.md
- Scanned
- 1 file, 140 lines
About this skill
What it does
This skill allows an AI agent to utilize SQLite databases as a key-value store. It enables the agent to persist data in a structured format, retrieve information efficiently using keys, and manage simple datasets without requiring complex relational database schemas. This approach is useful for storing configuration settings, user preferences, or small amounts of application state.
When to use it
- Storing Application Configuration: An AI assistant needs to remember its preferred text-to-speech voice across sessions.
- Managing User Preferences: An agent building a personalized experience requires saving individual user choices (e.g., font size, color theme).
- Caching Frequently Accessed Data: The agent frequently retrieves the same information from an external API and needs to store it locally for faster access.
- Simple Session State Management: An AI-powered chatbot needs to remember context or variables during a conversation.
Key capabilities
- Storing data as key-value pairs in SQLite.
- Retrieving data using keys.
- Updating existing values associated with keys.
- Deleting key-value entries.
Example prompts
- "Store the setting 'preferred_voice' with value 'samantha'."
- "What is the value of 'api_key'?"
- "Delete the entry for 'theme_color'."
- "Update the value associated with 'user_name' to 'Alice'."
Tips & gotchas
- SQLite databases are file-based, so ensure the agent has write access to the designated location.
- While SQLite is efficient for key-value storage, it’s not designed for high-volume transactions or complex queries.