Specialized skills for AI agents — works with Claude, Claude Code, Cursor, GitHub Copilot, VS Code, OpenAI Codex, and 20+ other platforms.
A collection (single-skill so far) of Agent Skills following the open Agent Skills standard. Each skill is a self-contained folder that teaches an AI agent how to complete a specialized task reliably — no copy-pasting prompts, no repeated context setup. Write once, use everywhere.
An expert-level Elasticsearch agent covering the full spectrum of search infrastructure — from first index to production cluster.
Triggers when you ask about:
- Index mapping design and field type selection
- Query DSL, aggregations, and search performance
- Cluster architecture, shard sizing, and ILM policies
- Data streams, index templates, and ingest pipelines
- Vector search, kNN, ELSER, and semantic search
- Solr → Elasticsearch migrations
- ES|QL and Kibana queries
This skill searches the web to stay current with the latest Elasticsearch releases, so answers reflect the current version — not a training data snapshot.
Skills use progressive disclosure to stay lightweight on your context window:
- Discovery — At startup, the agent scans only skill names and descriptions (~30–50 tokens each).
- Activation — When a task matches, the full
SKILL.mdinstructions are loaded. - On demand — Supporting
scripts/,references/, andassets/are fetched only as needed.
You can keep dozens of skills available without burning your context budget.
Always test skills in your own environment before using them in critical workflows.