Best use case
elasticsearch-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Full-text search and analytics with Elasticsearch
Teams using elasticsearch-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/elasticsearch-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How elasticsearch-search Compares
| Feature / Agent | elasticsearch-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Full-text search and analytics with Elasticsearch
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Elasticsearch – Full-Text Search Engine
Elasticsearch is a distributed search and analytics engine
for log analytics, full-text search, and application monitoring.
- **GitHub**: github.com/elastic/elasticsearch (72 000+ ⭐)
- **License**: SSPL / Elastic License 2.0
- **Security**: Elastic-backed. Enterprise-grade security. No malware.
## Environment Variables
| Variable | Description |
|---|---|
| `{{ELASTICSEARCH_URL}}` | Elasticsearch cluster URL |
| `{{ELASTICSEARCH_API_KEY}}` | API key (if security enabled) |
## Usage Examples
### Index a document
```bash
curl -s -X POST "{{ELASTICSEARCH_URL}}/my-index/_doc" \
-H "Authorization: ApiKey {{ELASTICSEARCH_API_KEY}}" \
-H "Content-Type: application/json" \
-d '{"title": "Hello", "content": "World", "timestamp": "2025-01-01"}'
```
### Search documents
```bash
curl -s "{{ELASTICSEARCH_URL}}/my-index/_search" \
-H "Authorization: ApiKey {{ELASTICSEARCH_API_KEY}}" \
-H "Content-Type: application/json" \
-d '{"query": {"match": {"content": "world"}}}'
```
## AI Agent Tips
- Sub-second full-text search across billions of documents.
- Aggregations engine for real-time analytics.
- Kibana provides visual dashboards on top of Elasticsearch.
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