Algolia Search
CheckedQuickly finds relevant content from Algolia indices within your frontend application using davila7's efficient search skill.
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 davila7/claude-code-templates --skill algolia-search -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
davila7
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 davila7/claude-code-templates at 79182c51fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79182c51fb
- Scanned
- 1 file, 67 lines
About this skill
The Algolia Search skill enables AI agents to perform fast, typo-tolerant full-text searches across large datasets using the Algolia API. It returns ranked results based on relevance and filters, making it ideal for navigating extensive codebases or documentation.
When to use it
- Retrieving specific files or functions from a massive repository when exact filenames are unknown.
- Searching through technical documentation or changelogs for feature details without spelling errors.
- Finding configuration examples or API endpoints within a project's source code.
- Locating recent commits or issue discussions related to a specific keyword in a large open-source project.
Key capabilities
- Instant full-text search with typo tolerance and fuzzy matching.
- Support for filtering results by custom attributes (e.g., file type, author).
- Ranked result delivery based on relevance scores.
- Efficient handling of large-scale datasets via cloud-based indexing.
Example prompts
- "Search the project for all files containing 'authentication' and filter only TypeScript files."
- "Find examples of how to implement OAuth2 in the codebase, ignoring minor spelling mistakes in my query."
- "Look up the latest changes related to the 'payment-gateway' module across all recent commits."
Tips & gotchas
Ensure your data is properly indexed in Algolia before relying on search results, as unindexed content will not be found. Limit result counts in your prompts to prevent overwhelming the agent with too much context at once.