Agent skill

Elasticsearch File Ingest

Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.

MITAuto-check passedBackend & APIs

Install Elasticsearch File Ingest

skills CLI

$ npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aspectrr/deer elasticsearch-file-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aspectrr/deer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/deer-cli/internal/skill/defaults/elasticsearch-file-ingest .claude/skills/elasticsearch-file-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "elasticsearch-file-ingest" agent skill from https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest into .claude/skills/elasticsearch-file-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elasticsearch-file-ingest", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aspectrr/deer elasticsearch-file-ingest --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aspectrr/deer.git skills-src && mkdir -p .agents/skills && cp -r skills-src/deer-cli/internal/skill/defaults/elasticsearch-file-ingest .agents/skills/elasticsearch-file-ingest && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "elasticsearch-file-ingest" agent skill from https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest into .agents/skills/elasticsearch-file-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elasticsearch-file-ingest", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aspectrr/deer elasticsearch-file-ingest --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aspectrr/deer.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/deer-cli/internal/skill/defaults/elasticsearch-file-ingest .cursor/skills/elasticsearch-file-ingest && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "elasticsearch-file-ingest" agent skill from https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest into .cursor/skills/elasticsearch-file-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elasticsearch-file-ingest", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aspectrr/deer.git --path deer-cli/internal/skill/defaults/elasticsearch-file-ingest

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aspectrr/deer elasticsearch-file-ingest --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aspectrr/deer.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/deer-cli/internal/skill/defaults/elasticsearch-file-ingest .gemini/skills/elasticsearch-file-ingest && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "elasticsearch-file-ingest" agent skill from https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest into .gemini/skills/elasticsearch-file-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elasticsearch-file-ingest", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aspectrr/deer elasticsearch-file-ingest

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aspectrr/deer.git skills-src && mkdir -p .github/skills && cp -r skills-src/deer-cli/internal/skill/defaults/elasticsearch-file-ingest .github/skills/elasticsearch-file-ingest && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "elasticsearch-file-ingest" agent skill from https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest into .github/skills/elasticsearch-file-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elasticsearch-file-ingest", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aspectrr/deer elasticsearch-file-ingest --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aspectrr/deer.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/deer-cli/internal/skill/defaults/elasticsearch-file-ingest .opencode/skills/elasticsearch-file-ingest && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "elasticsearch-file-ingest" agent skill from https://github.com/aspectrr/deer/tree/main/deer-cli/internal/skill/defaults/elasticsearch-file-ingest into .opencode/skills/elasticsearch-file-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elasticsearch-file-ingest", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: elasticsearch-file-ingest
GitHub stars: 405
Token cost: ~684 tokens
SKILL.md length: 101 words
Files: 1
Skills in repo: 14
Repo updated: Apr 21, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.

Batch importing data
SKILL.md covers Setup, Usage, Command Reference and Transform Functions, plus 1 more section
Calls node and npm; needs ELASTICSEARCH_API_KEY
Tasks that involve Search implementation

What it does

Elasticsearch File Ingest is an agent skill from aspectrr/deer. Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms. Use when loading files or batch importing data.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Search implementation, DataFrames and CSV and tabular files. It works with Elasticsearch. The repository describes itself as: 🦌 The AI Elasticsearch Engineer. The licence is MIT.

When your agent uses it

Batch importing data
Tasks that involve Search implementation
Tasks that involve DataFrames

Example prompts

“/elasticsearch-file-ingest”

Requirements

Node.js
A credential in ELASTICSEARCH_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit e4f9845. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- node
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- ELASTICSEARCH_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Elasticsearch File Ingest loads about 684 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 101 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~50
When it runs · the whole SKILL.md, loaded when a task matches: ~684

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aspectrr/deer at commit e4f9845, republished under its MIT licence (© aspectrr). 101 words, ~684 tokens.

Download SKILL.mdSave it as .claude/skills/elasticsearch-file-ingest/SKILL.md (or your agent's skills folder).

name: elasticsearch-file-ingest
description: Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms. Use when loading files or batch importing data.
metadata.author: elastic
metadata.version: 0.2.0
metadata.source: elastic/agent-skills//skills/elasticsearch/elasticsearch-file-ingest

Elasticsearch File Ingest

Stream-based ingestion and transformation of large data files (NDJSON, CSV, Parquet, Arrow IPC) into Elasticsearch.

Setup

Install dependencies and configure environment:

bash

npm install

bash

export ELASTICSEARCH_URL="https://elasticsearch:9200"
export ELASTICSEARCH_API_KEY="<your-api-key>"

Test connection:

bash

node scripts/ingest.js test

Usage

Ingest a JSON file

bash

node scripts/ingest.js ingest --file /path/to/data.json --target my-index

Ingest CSV

bash

node scripts/ingest.js ingest --file /path/to/users.csv --source-format csv --target users

Ingest Parquet

bash

node scripts/ingest.js ingest --file /path/to/users.parquet --source-format parquet --target users

Ingest with transformation

bash

node scripts/ingest.js ingest --file /path/to/data.json --target my-index --transform transform.js

Infer mappings from CSV

bash

node scripts/ingest.js ingest --file /path/to/users.csv --infer-mappings --target users

Command Reference

Required Options

bash

--target <index>         # Target index name

Source Options (choose one)

bash

--file <path>            # Source file (supports wildcards)
--stdin                  # Read NDJSON/CSV from stdin

Index Configuration

bash

--mappings <file.json>          # Mappings file
--infer-mappings                # Infer mappings/pipeline from file
--delete-index                  # Delete target index if exists
--pipeline <name>               # Ingest pipeline name

Processing

bash

--transform <file.js>    # Transform function
--source-format <fmt>    # ndjson|csv|parquet|arrow (default: ndjson)
--csv-options <file>     # CSV parser options (JSON file)

Transform Functions

javascript

export default function transform(doc) {
  return {
    ...doc,
    full_name: `${doc.first_name} ${doc.last_name}`,
    timestamp: new Date().toISOString(),
  };
}

Return null to skip a document. Return an array to split into multiple documents.

Guidelines

Test first: Always run node scripts/ingest.js test before ingesting.
Never combine --infer-mappings with --source-format.
Use --source-format csv with --mappings for known field types.
Never echo, print, or log credential environment variables.

Files

Just SKILL.md in deer-cli/internal/skill/defaults/elasticsearch-file-ingest of aspectrr/deer.

Open the folder on GitHubat commit e4f9845

Compare with similar skills

Elasticsearch File Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Elasticsearch File Ingest compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Elasticsearch File Ingest this skillaspectrr/deer	405	—	~684	Automated safety check: Pass	MIT	5 mo ago
Elasticsearch File IngestKilo-Org/kilo-marketplace	190	—	~2.8k	Automated safety check: Pass	Apache-2.0	12 days ago
Elasticsearch Ingestelastic/agent-skills	592	—	~2.7k	Automated safety check: Pass	Apache-2.0	3 days ago
Product Full-Text Searchlobehub/lobehub	83k	—	~4.1k	Automated safety check: Pass	Custom licence	today
Foundatio Repositoriesexceptionless/Exceptionless	2.5k	—	~1.9k	Automated safety check: Pass	Apache-2.0	2 days ago
Elasticsearcholasunkanmi-SE/codebuddy	141	—	~425	Automated safety check: Pass	MIT	1 mo ago

Similar skills

Elasticsearch File Ingest
Kilo-Org/kilo-marketplace
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.
190 GitHub stars~2.8k tokensUpdated 12 days ago
Backend & APIsAuto-check passed
Elasticsearch Ingest
elastic/agent-skills
Official
Load CSV and JSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter.
592 GitHub stars~2.7k tokensUpdated 3 days ago
Backend & APIsAuto-check passed
Product Full-Text Search
lobehub/lobehub
Guides work on LobeHub's own product search: the shared search repository, provider choice, Elasticsearch mappings, change syncing and reindexing.
83k GitHub stars~4.1k tokensUpdated today
Backend & APIsAuto-check passed
Foundatio Repositories
exceptionless/Exceptionless
Query, aggregate, patch, or paginate Exceptionless data through its Elasticsearch repository abstractions.
2.5k GitHub stars~1.9k tokensUpdated 2 days ago
Backend & APIsAuto-check passed
Elasticsearch
olasunkanmi-SE/codebuddy
Interact with Elasticsearch clusters via the API. An agent skill from olasunkanmi-SE/codebuddy.
141 GitHub stars~425 tokensUpdated 1 mo ago
Backend & APIsAuto-check passed
Elasticsearch Index Design
elastic/agent-skills
Official
Design and review Elasticsearch index mappings for stated access patterns: correct field types, text+keyword multi-fields, docvalues tuning, mapping-explosion avoidance, and explicit shard settings.
592 GitHub stars~3.1k tokensUpdated 3 days ago
Backend & APIsAuto-check passed

Questions about Elasticsearch File Ingest

What does Elasticsearch File Ingest do?

Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms. Elasticsearch File Ingest is an agent skill from aspectrr/deer. Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.

When should I use Elasticsearch File Ingest?

Elasticsearch File Ingest fits situations like: batch importing data; tasks that involve Search implementation; tasks that involve DataFrames.

How do I install Elasticsearch File Ingest in Claude Code?

Run `npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a claude-code`. Or copy the skill folder (deer-cli/internal/skill/defaults/elasticsearch-file-ingest in aspectrr/deer) into .claude/skills/elasticsearch-file-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Elasticsearch File Ingest in Codex?

Run `npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a codex`. Or copy the skill folder (deer-cli/internal/skill/defaults/elasticsearch-file-ingest in aspectrr/deer) into .agents/skills/elasticsearch-file-ingest in your project. Codex loads it when a task matches its description.

Can I use Elasticsearch File Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aspectrr/deer --skill elasticsearch-file-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/elasticsearch-file-ingest, .gemini/skills/elasticsearch-file-ingest, .github/skills/elasticsearch-file-ingest and .opencode/skills/elasticsearch-file-ingest in your project.

What does Elasticsearch File Ingest need to run?

Going by SKILL.md and its folder, Elasticsearch File Ingest needs the command-line tools its instructions call (node and npm) and credentials named ELASTICSEARCH_API_KEY. Our summary lists: Node.js; A credential in ELASTICSEARCH_API_KEY.

Does Elasticsearch File Ingest access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Elasticsearch File Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Elasticsearch File Ingest use?

Elasticsearch File Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Elasticsearch File Ingest use?

About 684 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Elasticsearch File Ingest?

Skills that share tags, products or a category with Elasticsearch File Ingest: Elasticsearch File Ingest (Kilo-Org/kilo-marketplace, 190 stars), Elasticsearch Ingest (elastic/agent-skills, 592 stars), Product Full-Text Search (lobehub/lobehub, 83k stars) and Foundatio Repositories (exceptionless/Exceptionless, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Elasticsearch File Ingest?

aspectrr (a GitHub user) maintains it in aspectrr/deer, which has 405 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on April 21, 2026.

Source: aspectrr/deer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Elasticsearch File Ingest

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Elasticsearch File Ingest

Setup

Usage

Ingest a JSON file

Ingest CSV

Ingest Parquet

Ingest with transformation

Infer mappings from CSV

Command Reference

Required Options

Source Options (choose one)

Index Configuration

Processing

Transform Functions

Guidelines

Files

Compare with similar skills

Similar skills

More from aspectrr/deer

Related

Questions about Elasticsearch File Ingest