kibana-agent-builder — Claude Code skill: Kibana agents and tools
This skill creates, inspects, updates and deletes Kibana Agent Builder agents and custom tools through the elastic CLI.
npx skills add elastic/agent-skills --skill kibana-agent-builder -a claude-codeWhat kibana-agent-builder does
The skill keeps three Agent Builder resources apart: a tool (a function an agent calls), an agent (an LLM with instructions and a chosen toolset), and a chat session with an existing agent. Creating a tool does not create an agent. So the first step is classifying the task, and only then touching a write API.
Before any write it reads live data with GET kbn:/api/agent_builder/tools and GET kbn:/api/agent_builder/agents. That keeps duplicate ids and invented tool references out of the payload. If you only ask what agents exist, the skill stops at the read and lists each id with its name. An empty list gets reported as empty.
Tools come in three types: index_search against a specific index pattern, esql with ?param placeholders and a params object, and workflow pointing at an existing workflow id. The POST endpoint is strict: name is rejected on tools, index search configuration wants pattern rather than index, and each ES|QL param accepts only type and description. Violations come back as 400, so it is worth checking the payload before sending it. Everything runs through the elastic CLI; when it is missing, the skill explains what it is for instead of calling the HTTP API directly or guessing credentials.
What it helps with
- create a search tool scoped to one index pattern
- build an agent with instructions and a list of tool_ids
- list the agents already defined in Kibana
- test an ES|QL tool before an agent starts using it
- update the description and configuration of an existing tool
Example prompts for the agent
- create an index_search tool over the customer-feedback-* indices
- list the agents in Agent Builder
- create an agent with instructions for triaging feedback and check the id is free
How to install kibana-agent-builder
1Skills CLI (Vercel)
npx skills add elastic/agent-skills --skill kibana-agent-builder -a claude-code2Manually: put the files in place
~/.claude/skills/kibana-agent-builder/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/kibana-agent-builder/
1Skills CLI (Vercel)
npx skills add elastic/agent-skills --skill kibana-agent-builder -a codex2Manually: put the files in place
.agents/skills/kibana-agent-builder/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add elastic/agent-skills --skill kibana-agent-builder -a cursor2Manually: put the files in place
.cursor/skills/kibana-agent-builder/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install elastic/agent-skills kibana-agent-builder2Manually: put the files in place
.github/skills/kibana-agent-builder/SKILL.md1Skills CLI (Vercel)
npx skills add elastic/agent-skills --skill kibana-agent-builder -a gemini-cli2Platform CLI
gemini skills install https://github.com/elastic/agent-skills --path skills/kibana/kibana-agent-builderManually: put the files in place
.devin/skills/kibana-agent-builder/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add elastic/agent-skills --skill kibana-agent-builder -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about kibana-agent-builder
How do I install kibana-agent-builder in Claude?
Run npx skills add elastic/agent-skills --skill kibana-agent-builder -a claude-code. The skill lands in ~/.claude/skills/kibana-agent-builder/SKILL.md.
What does kibana-agent-builder do?
It creates, updates, deletes, tests and inspects Kibana Agent Builder agents and custom tools, and answers questions about what already exists there.
What does the skill need to run?
It performs Elasticsearch operations through the elastic CLI. If that CLI is missing, the skill tells you what it is needed for rather than calling the HTTP API directly or guessing credentials.
Source text
SKILL.md · Apache-2.0
---
name: kibana-agent-builder
description: >
Create and manage Kibana Agent Builder agents and custom tools. Use when asked to
create, update, delete, test, or inspect agents or tools in Agent Builder, or when
the user wants to understand what agents or tools already exist.
metadata:
author: elastic
version: 0.3.0
universal: true
---
# 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](https://github.com/elastic/cli#configuration) 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](#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](references/architecture-guide.md) for built-in tool inventory, context
engineering, and security notes.
## Process
1. **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.
2. **Discover existing resources before any write.** When creating or updating:
- Call `GET kbn:/api/agent_builder/tools` to list available tools (built-in and custom). Do not invent tool IDs.
- Call `GET kbn:/api/agent_builder/agents` to 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.
3. **Choose the tool type (for tool tasks).** Match intent to the narrowest tool type:
- **Open-ended search over a known index pattern** → `index_search` with a **specific pattern** (for example
`customer-feedback-*`), never `*` or all-indices scope unless the user explicitly requires it.
- **Fixed analytics, aggregations, or parameterized queries** → `esql` with `?param` placeholders and a `params`
object (use `{}` when there are no parameters).
- **Multi-step automation beyond retrieval** → `workflow` referencing an existing workflow id.
For ES|QL syntax and query design, follow the `elasticsearch-esql` skill. For workflow YAML, follow the
`kibana-workflows` skill.
4. **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 `type` and `description` — not `default` or `optional`. Hard-code defaults in the query.
- PUT on tools accepts only `description`, `configuration`, and `tags`. `id` and `type` are immutable.
**Index search example** (scoped pattern):
```json
{
"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):
```json
{
"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"
}
}
}
}
```
5. **Create and verify the tool.** Call `POST kbn:/api/agent_builder/tools` with the payload. Confirm success by calling
`GET 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.
6. **Build the agent payload (for agent tasks).** Required fields: `id`, `name`, `description`, `configuration`.
Configuration must include `instructions` and a `tools` array with `tool_ids` drawn from Step 2 — only IDs returned
by `GET 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.
```json
{
"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.
7. **Create and verify the agent.** Call `POST kbn:/api/agent_builder/agents`. Confirm with
`GET kbn:/api/agent_builder/agents` or `GET kbn:/api/agent_builder/agents/{agentId}`. Report the live response.
8. **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}`
9. **Chat (when requested).** Chat is not agent or tool creation. Use `POST kbn:/api/agent_builder/converse/async` with
an existing `agent_id` and user input. Expect multi-step reasoning and tool calls; allow sufficient time for
streaming completion.
## Guidelines
- **Discover before create.** Always list agents (and tools when relevant) before creating resources. When asked "what
agents exist?", answer that question first — read-only — even if the user also mentions wanting a new agent later.
- **Scope index search narrowly.** Prefer `customer-feedback-*` over `*`. Broad patterns increase noise, token cost, and
RBAC surface area.
- **Write descriptive tool descriptions.** The agent selects tools based on descriptions alone — include when to use
each tool and example trigger phrases.
- **Minimize toolsets.** Every assigned tool adds tokens to the agent system prompt on every turn.
- **Validate ES|QL before deployment.** Execute the tool after creation when parameters or query shape are non-trivial.
- **Use aggregations and KEEP.** Prefer summary stats over raw document dumps for analytics questions.
## Examples
### Create an index search tool (eval pattern)
User: "Create a custom Agent Builder tool that searches the customer-feedback-\* index. Use the tool id
'eval-feedback-search'."
1. List tools — confirm `eval-feedback-search` does not already exist.
2. Choose `index_search` scoped to `customer-feedback-*` (not `*`).
3. POST the tool with id, description, and `configuration.pattern`.
4. GET the tool by id and confirm creation to the user.
### Answer "what agents already exist?" before creating
User: "I want to create a new agent in Kibana Agent Builder. What agents already exist?"
1. Call `GET kbn:/api/agent_builder/agents` — read-only.
2. Enumerate existing agent ids and names (or state that none exist).
3. Do **not** create, update, or delete anything in this step.
4. Only if the user then asks to create, pick an unused id informed by the list above.
### Create an agent after discovery
User: "Create a sales-helper agent using the esql-sales-data tool."
1. List tools — confirm `esql-sales-data` exists.
2. List agents — confirm no conflicting id.
3. POST agent with instructions and selected tool IDs.
4. GET agent to verify and report back.
## References
- [architecture-guide.md](references/architecture-guide.md) — Built-in tools, context engineering, token optimization,
MCP/A2A integration, permissions
- [use-cases.md](references/use-cases.md) — Playbooks for customer feedback, marketing campaign, and contract analysis
agents with example tool and agent payloads
## Operations
| HTTP API (shorthand) | `elastic` CLI command |
| ------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------- |
| `GET kbn:/api/agent_builder/tools` | `elastic kb agent-builder get-agent-builder-tools` |
| `POST kbn:/api/agent_builder/tools` | `elastic kb agent-builder post-agent-builder-tools --id '<id>' --type '<type>' --description '<desc>' --configuration '<json>'` |
| `GET kbn:/api/agent_builder/tools/{toolId}` | `elastic kb agent-builder get-agent-builder-tools-toolid --tool-id '<toolId>'` |
| `PUT kbn:/api/agent_builder/tools/{toolId}` | `elastic kb agent-builder put-agent-builder-tools-toolid --tool-id '<toolId>' [--description '<desc>'] [--configuration '<json>']` |
| `DELETE kbn:/api/agent_builder/tools/{toolId}` | `elastic kb agent-builder delete-agent-builder-tools-toolid --tool-id '<toolId>' [--force]` |
| `POST kbn:/api/agent_builder/tools/_execute` | `elastic kb agent-builder post-agent-builder-tools-execute --tool-id '<toolId>' --tool-params '<json>'` |
| `GET kbn:/api/agent_builder/agents` | `elastic kb agent-builder get-agent-builder-agents` |
| `POST kbn:/api/agent_builder/agents` | `elastic kb agent-builder post-agent-builder-agents --id '<id>' --name '<name>' --description '<desc>' --configuration '<json>'` |
| `GET kbn:/api/agent_builder/agents/{agentId}` | `elastic kb agent-builder get-agent-builder-agents-id --id '<agentId>'` |
| `PUT kbn:/api/agent_builder/agents/{agentId}` | `elastic kb agent-builder put-agent-builder-agents-id --id '<agentId>' [--description '<desc>'] [--configuration '<json>']` |
| `DELETE kbn:/api/agent_builder/agents/{agentId}` | `elastic kb agent-builder delete-agent-builder-agents-id --id '<agentId>'` |
| `POST kbn:/api/agent_builder/converse/async` | `elastic kb agent-builder post-agent-builder-converse-async --agent-id '<agentId>' --input '<message>'` |
© elastic · Apache-2.0 · elastic/agent-skills