How To Do Full Text Search With Sqlite
CheckedHelps with search, SQLite 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 rodydavis/skills --skill how-to-do-full-text-search-with-sqlite -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_fts5/SKILL.md
- Scanned
- 1 file, 116 lines
About this skill
What it does
This skill enables AI agents to perform full-text search queries directly within SQLite databases. It allows for retrieving records based on natural language keywords rather than requiring exact column matches or complex schema knowledge from the agent.
When to use it
- Searching through large text logs or documents stored in a local database without loading them into memory.
- Querying user-generated content like comments, reviews, or chat histories for specific topics.
- Implementing fuzzy search functionality where exact string matching is insufficient.
- Building lightweight applications that require fast, indexable text retrieval without external search engines.
Key capabilities
- Executes
FTS5virtual tables to handle full-text indexing efficiently. - Supports natural language tokenization for query parsing.
- Enables ranking of results based on term relevance and frequency.
- Integrates seamlessly with standard SQLite workflows within AI agent toolchains.
Example prompts
- "Find all articles in the database that mention 'machine learning' and 'neural networks'."
- "Search for customer complaints containing the word 'delayed' and return the top 10 results."
- "Retrieve records where the description field matches any variation of the term 'urgent support request'."
Tips & gotchas
Ensure your SQLite database is configured with an FTS5 virtual table before invoking this skill, as standard tables do not support full-text search natively. This approach is optimized for text-heavy data; it may not perform well on numeric-only columns or extremely large datasets without proper indexing strategies.