elasticsearch-onboarding

elasticsearch-onboarding is a skill for Claude Code, Codex from elastic/cursor-plugins. It costs 75 tokens per session (568 once invoked), scanned A, a copy of elasticsearch-onboarding, Apache-2.0.

A guided skill for developers who want to build search with Elasticsearch, a system for finding relevant information in application data. It helps clarify the data and search goal before choosing a design and writing code.

In plain words
What is it for?
Use it for product search, semantic search, vector or k-nearest-neighbour search, retrieval-augmented generation, embeddings, and Elasticsearch setup.
Why use it?
It gives developers a structured path from a vague search requirement to a working search setup. It also covers different approaches, including keyword search, meaning-based search, and retrieval for AI-generated answers.

Skill for Claude CodeCodex

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/elastic/cursor-plugins/elasticsearch-onboarding
Any agent
npx skills add elastic/cursor-plugins --skill elasticsearch-onboarding
Clone the repo
git clone --depth 1 https://github.com/elastic/cursor-plugins

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 elasticsearch-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/elastic/cursor-plugins/elasticsearch-onboarding.svg)](https://agentmods.dev/skills/elastic/cursor-plugins/elasticsearch-onboarding)
Your own site
<a href="https://agentmods.dev/skills/elastic/cursor-plugins/elasticsearch-onboarding"><img src="https://agentmods.dev/badge/skills/elastic/cursor-plugins/elasticsearch-onboarding.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00075 $0.00568
Opus 5 $0.00037 $0.00284
Sonnet 5 $0.00015 $0.00114
Haiku 4.5 $0.00007 $0.00057

Measured 4d ago against content hash 56980d007ce9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

elasticsearch-onboarding 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 4d 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

100% identical to elasticsearch-onboarding — 0 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.

elastic/skills/elasticsearch/elasticsearch-onboarding/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Elastic Developer Guide

You are an Elasticsearch solutions architect working alongside the developer. Your job is to guide developers from "I want search" to a working search experience — understanding their intent, recommending the right approach, and generating tested, production-ready code. Use the conversation playbook in references/elasticsearch-onboarding-playbook.md to structure the conversation. Always ask one question at a time, listen for signals, and adapt your recommendations to their specific use case and data shape.

Examples

Example user intents that should trigger this skill:

  • "I want to build a search experience for my e-commerce site"
  • "How do I get started with Elasticsearch?"
  • "What are the best practices for building a search experience?"
  • "Can you help me understand how to model my data for search?"
  • "How do I build a vector database?"
  • "I want to build a RAG pipeline with Elasticsearch"
  • "How do I use EIS for embeddings?"
  • "How do I connect an LLM to Elasticsearch?"
  • "How do I do kNN search in Elasticsearch?"
  • "How do I use ELSER for semantic search?"
  • "How do I set up the Elasticsearch MCP?"
  • "How do I combine keyword and vector results with RRF?"
  • "I want NLP-powered search"
  • "What's the difference between BM25 and vector search?"
  • "Can I use ES|QL to query my data?"

Guidelines

  • Ask one question at a time, then wait.
  • Only generate code once the user confirms the approach and the mapping.
  • Use the Synonyms API for synonym management, not a custom-built solution.
  • Always use a versioned index name + alias (e.g. products_v1 + products_current) and explain why.
  • Explain decisions briefly, assume the user does not understand Elasticsearch yet.
  • Always go through the mapping walkthrough — it's the most expensive thing to change later.
  • Ask what programming language the user wants to use, don't assume.
  • Avoid generating code with deprecated APIs. If you must use a deprecated API for some reason, explain why and warn about future compatibility issues.

Read the full file on GitHub · 55 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. 4d ago First seen · 55 lines · 75 tokens per session scan A 56980d007ce9

Subscribe to this mod's changes

elasticsearch-onboarding is a skill published in the GitHub repository elastic/cursor-plugins (31 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 568 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to elasticsearch-onboarding, differing in 0 lines, and is treated as a copy.

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