- Skill ID
- elastic/agent-skills/kibana-agent-builder
- Publisher
- elastic
- Repository
- agent-skills
- Installs
- 0
- Files
- 3
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
elastic/agent-skills/kibana-agent-builderInstalls these files- SKILL.md
- references/architecture-guide.md
- references/use-cases.md
What this skill tells the agent
Kibana Agent Builder
Create, inspect, update, delete, and test Agent Builder tools and agents. Ground LLM responses in Elasticsearch data through scoped search tools, parameterized ES|QL, and workflow integrations.
<!-- begin-partial: preamble -->
Environment Configuration
This skill executes Elasticsearch operations through the elastic CLI. If the `elastic` CLI is not installed, tell the user what it is needed for. Do not guess credentials, call the HTTP API directly, or attempt other workarounds.
This skill references operations in HTTP-shorthand form (e.g., GET /, GET /_cat/indices, GET /{index}/_mapping, GET /{index}/_settings/index.mode, POST /_query). The Operations table at the end of this document maps each shorthand to the equivalent elastic CLI command — always use the CLI rather than calling the HTTP API directly.
<!-- end-partial: preamble -->
Resource model
Agent Builder exposes three distinct resource kinds — do not conflate them:
| Kind | Purpose | Typical API |
|---|---|---|
| Tool | Reusable function an agent invokes to retrieve or act on data (index_search, esql, workflow) | POST kbn:/api/agent_builder/tools |
| Agent | LLM entity with instructions and a curated toolset | POST kbn:/api/agent_builder/agents |
| Chat / conversation | Ephemeral messaging session with an existing agent | POST kbn:/api/agent_builder/converse/async |
Creating a tool does not create an agent. Listing or chatting with an agent does not create a tool. When the user asks to "create an agent" or "create a tool," identify which resource they mean before calling a write API.
Built-in tools use the platform.core.* prefix (for example platform.core.search). Custom tools and agents are user-defined. Read architecture-guide.md for built-in tool inventory, context engineering, and security notes.
Process
- Classify the task. Decide whether the user needs a tool, an agent, or chat with an existing agent. If they ask what already exists ("what agents are there?", "list agents"), treat the request as read-only discovery — answer from live data before proposing any create, update, or delete.
- Discover existing resources before any write. When creating or updating:
- Call
GET kbn:/api/agent_builder/toolsto list available tools (built-in and custom). Do not invent tool IDs. - Call
GET kbn:/api/agent_builder/agentsto list existing agents and avoid duplicate IDs or names.
When the user only asks what agents exist, stop after GET kbn:/api/agent_builder/agents. Enumerate each agent's id and name. If the list is empty, say so plainly — do not fabricate agents. Only proceed to creation when the user explicitly asks to create one and you have confirmed the target id is unused.
- Choose the tool type (for tool tasks). Match intent to the narrowest tool type:
- Open-ended search over a known index pattern →
index_searchwith a specific pattern (for examplecustomer-feedback-*), never*or all-indices scope unless the user explicitly requires it. - Fixed analytics, aggregations, or parameterized queries →
esqlwith?paramplaceholders and aparamsobject (use{}when there are no parameters). - Multi-step automation beyond retrieval →
workflowreferencing an existing workflow id.
For ES|QL syntax and query design, follow the elasticsearch-esql skill. For workflow YAML, follow the kibana-workflows skill.
- Build the tool payload. Required fields:
id,type,description,configuration. Optional:tags.
API constraints (violations return 400):
- POST accepts only
id,type,description,configuration,tags. `name` is not valid on tools. - Index search configuration uses
"pattern", not"index". - ES|QL tools require
"params"even when empty:"params": {}. - Each param accepts only
typeanddescription— notdefaultoroptional. Hard-code defaults in the query. - PUT on tools accepts only
description,configuration, andtags.idandtypeare immutable.
Index search example (scoped pattern):
{
"id": "customer_feedback_search",
"type": "index_search",
"description": "Searches customer feedback and support tickets in the customer-feedback indices.",
"configuration": {
"pattern": "customer-feedback-*"
}
}ES|QL example (parameterized, with LIMIT):
{
"id": "feedback_sentiment_trend",
"type": "esql",
"description": "Returns positive vs negative feedback counts by product category over a lookback window.",
"configuration": {
"query": "FROM customer-feedback-* | WHERE @timestamp >= NOW() - ?lookback_days::integer * 1d | STATS positive = COUNT(*) WHERE sentiment == \"positive\", negative = COUNT(*) WHERE sentiment == \"negative\" BY product_category | SORT negative DESC | LIMIT 20",
"params": {
"lookback_days": {
"type": "integer",
"description": "Number of days to look back, e.g. 7, 30, 90"
}
}
}
}- Create and verify the tool. Call
POST kbn:/api/agent_builder/toolswith the payload. Confirm success by callingGET kbn:/api/agent_builder/tools/{toolId}and reporting the created id, type, description, and configuration back to the user — do not claim success without a live API response.
Optionally validate ES|QL tools with POST kbn:/api/agent_builder/tools/_execute, passing tool_id and tool_params. Always include | LIMIT N in ES|QL queries to control token use.
- Build the agent payload (for agent tasks). Required fields:
id,name,description,configuration. Configuration must includeinstructionsand atoolsarray withtool_idsdrawn from Step 2 — only IDs returned byGET kbn:/api/agent_builder/tools.
Derive a stable id from the name (lowercase, hyphens, alphanumeric). Check Step 2's agent list for conflicts before posting.
{
"id": "customer-feedback-agent",
"name": "Customer Feedback Analyst",
"description": "Analyzes customer sentiment and feedback trends.",
"configuration": {
"instructions": "Always use tools to retrieve data. Never answer data questions from memory.",
"tools": [
{
"tool_ids": ["customer_feedback_search", "platform.core.search"]
}
]
}
}Agent update constraints: PUT accepts only description, configuration, and tags (plus avatar/labels when applicable). Do not send immutable fields like id, name, or type on update — they cause 400 errors.
- Create and verify the agent. Call
POST kbn:/api/agent_builder/agents. Confirm withGET kbn:/api/agent_builder/agentsorGET kbn:/api/agent_builder/agents/{agentId}. Report the live response.
- Update or delete (when requested). Confirm destructive actions with the user first.
- Update tool:
PUT kbn:/api/agent_builder/tools/{toolId} - Delete tool:
DELETE kbn:/api/agent_builder/tools/{toolId} - Update agent:
PUT kbn:/api/agent_builder/agents/{agentId} - Delete agent:
DELETE kbn:/api/agent_builder/agents/{agentId}
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