algolia-search

algolia-search is a skill for Claude Code from satnamrsm/https-github.com-sickn33-antigravity-awesome-skills. It costs 41 tokens per session (475 once invoked), scanned A, a copy of algolia-search, MIT.

A guide to adding Algolia search to web applications. Algolia is a hosted search service that indexes records so users can get fast results, suggestions, filters, and pagination.

In plain words
What is it for?
Use it to build React InstantSearch interfaces, connect Algolia indexes, add type-ahead search and filters, support Next.js server-side rendering, and choose full or partial index updates.
Why use it?
It helps solve common integration problems involving search boxes, filtering, server-rendered results, URL state, and keeping the search index synchronized with application data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the antigravity-awesome-skills plugin — 198 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/algolia-search
Any agent
npx skills add satnamrsm/https-github.com-sickn33-antigravity-awesome-skills --skill algolia-search
Clone the repo
git clone --depth 1 https://github.com/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 198 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for algolia-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/algolia-search.svg)](https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/algolia-search)
Your own site
<a href="https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/algolia-search"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/algolia-search.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 475 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00475
Opus 5 $0.00020 $0.00237
Sonnet 5 $0.00008 $0.00095
Haiku 4.5 $0.00004 $0.00047

Measured 5d ago against content hash d3aaf2e24c4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

algolia-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to algolia-search — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/algolia-search/SKILL.md · 72 lines

What it actually says

Algolia Search Integration

Patterns

React InstantSearch with Hooks

Modern React InstantSearch setup using hooks for type-ahead search.

Uses react-instantsearch-hooks-web package with algoliasearch client. Widgets are components that can be customized with classnames.

Key hooks:

  • useSearchBox: Search input handling
  • useHits: Access search results
  • useRefinementList: Facet filtering
  • usePagination: Result pagination
  • useInstantSearch: Full state access

Next.js Server-Side Rendering

SSR integration for Next.js with react-instantsearch-nextjs package.

Use instead of for SSR. Supports both Pages Router and App Router (experimental).

Key considerations:

  • Set dynamic = 'force-dynamic' for fresh results
  • Handle URL synchronization with routing prop
  • Use getServerState for initial state

Data Synchronization and Indexing

Indexing strategies for keeping Algolia in sync with your data.

Three main approaches:

  1. Full Reindexing - Replace entire index (expensive)
  2. Full Record Updates - Replace individual records
  3. Partial Updates - Update specific attributes only

Best practices:

  • Batch records (ideal: 10MB, 1K-10K records per batch)
  • Use incremental updates when possible
  • partialUpdateObjects for attribute-only changes
  • Avoid deleteBy (computationally expensive)

⚠️ Sharp Edges

Issue Severity Solution
Issue critical See docs
Issue high See docs
Issue medium See docs
Issue medium See docs
Issue medium See docs
Issue medium See docs
Issue medium See docs
Issue medium See docs

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 72 lines · 41 tokens per session scan A d3aaf2e24c4a

Subscribe to this mod's changes

algolia-search is a skill published in the GitHub repository satnamrsm/https-github.com-sickn33-antigravity-awesome-skills (5 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 475 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to algolia-search, differing in 3 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens