search-engine-expert

search-engine-expert is a skill for Claude Code, Codex from roedyrustam/vibes-plug. It costs 56 tokens per session (783 once invoked), scanned A, original, MIT.

A guide to adding full-text search to applications with tools such as Typesense, Meilisearch, and Elasticsearch, including filters and autocomplete.

In plain words
What is it for?
Use it to choose a search engine, build search-as-you-type suggestions, tune result relevance, or add faceted product filtering.
Why use it?
It helps replace limited database text matching with search that can handle typos, suggestions, relevance, and filtered results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to choose a search engine, build search-as-you-type suggestions, tune result relevance, or add faceted product filtering.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/roedyrustam/vibes-plug/search-engine-expert
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.

Any agent
npx skills add roedyrustam/vibes-plug --skill search-engine-expert
Clone the repo
git clone --depth 1 https://github.com/roedyrustam/vibes-plug

Made for: Claude Code, Codex.

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 search-engine-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/search-engine-expert.svg)](https://agentmods.dev/skills/roedyrustam/vibes-plug/search-engine-expert)
Your own site
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/search-engine-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/search-engine-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 783 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00056 $0.00783
Opus 5 $0.00028 $0.00392
Sonnet 5 $0.00011 $0.00157
Haiku 4.5 $0.00006 $0.00078

Measured 5d ago against content hash 99cb81934c8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

search-engine-expert 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.

skills/search-engine-expert/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Engine Expert (2026 Edition)

English | Bahasa Indonesia


English

Orchestration & Integration

  • database-orm-expert: Database indexing strategies alongside search.
  • vector-db-rag-expert: Hybrid search (semantic + full-text).
  • performance-web-vitals: Search latency optimization.
  • ecommerce-expert: Product search and faceted navigation.

Description

Expert guide for implementing full-text search in web applications. Covers Typesense (typo-tolerant, easy setup), Meilisearch (Rust-based, instant search), Elasticsearch/OpenSearch (enterprise-grade), faceted search, autocomplete, search-as-you-type, relevance tuning, index optimization, and geo-search.

Trigger Conditions

  • Implementing search functionality beyond basic SQL LIKE queries.
  • Building autocomplete or search-as-you-type features.
  • Choosing a search engine for an application.
  • Implementing faceted search for e-commerce product filtering.

Search Engine Selection

Engine Speed Setup Typo Tolerance Facets Best For
Typesense ★★★★★ Easy ✅ Built-in Small-medium apps
Meilisearch ★★★★★ Easy ✅ Built-in Developer experience
Elasticsearch ★★★★ Complex Plugin Enterprise, analytics
Algolia ★★★★★ SaaS ✅ Built-in Quick integration
// Typesense — Setup and search
import Typesense from 'typesense';

const client = new Typesense.Client({
  nodes: [{ host: 'localhost', port: 8108, protocol: 'http' }],
  apiKey: process.env.TYPESENSE_API_KEY!,
});

// Create collection
await client.collections().create({
  name: 'products',
  fields: [
    { name: 'name', type: 'string' },
    { name: 'description', type: 'string' },
    { name: 'price', type: 'float', facet: true },
    { name: 'category', type: 'string', facet: true },
    { name: 'rating', type: 'float', sort: true },
  ],
  default_sorting_field: 'rating',
});

// Search with facets
const results = await client.collections('products').documents().search({
  q: 'wireless headphones',
  query_by: 'name,description',
  filter_by: 'price:<100 && category:=Electronics',
  facet_by: 'category,price',
  sort_by: 'rating:desc',
  per_page: 20,
});

Read the full file on GitHub · 90 lines

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 · 90 lines · 56 tokens per session scan A 99cb81934c8a

Subscribe to this mod's changes

search-engine-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 783 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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