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Axiom Skills are instruction files that give AI coding agents specialized capabilities. Unlike Axiom MCP Server, which provides a standardized protocol for tool discovery and execution, Axiom Skills work by embedding methodology and context directly into the agent’s prompt. For guidance on when to use Axiom Skills and Axiom MCP Server, see AI agents.
Axiom Skills are open-source and welcome your contributions. For more information, see the GitHub repository.

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Available skills

Axiom provides the following skills:

Build dashboards

Design and build Axiom dashboards via API with chart types, APL patterns, and layouts

Control costs

Analyze query patterns, find unused data, and build cost optimization dashboards

Query metrics

Query and explore OpenTelemetry metrics in Axiom’s MetricsDB using MPL

System Reliability Engineering (SRE)

Expert SRE investigator for incidents and debugging with hypothesis-driven methodology

Translate SPL to APL

Translate Splunk SPL queries to Axiom APL for migrations

Write evals

Scaffold evaluation suites for AI capabilities using the Axiom AI SDK

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Install Axiom Skills

Install all Axiom skills at once for Claude Code, Cursor, and other Claude-compatible agents: 
npx skills add axiomhq/skills

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Configure Axiom credentials

All Axiom Skills share the same credential configuration. Create a configuration file at ~/.axiom.toml:
~/.axiom.toml
[deployments.dev]
url = "https://api.axiom.co"
token = "API_TOKEN"
org_id = "ORGANIZATION_ID"
edge_url = "AXIOM_DOMAIN"
Replace API_TOKEN with the Axiom API token you have generated. For added security, store the API token in an environment variable.Replace ORGANIZATION_ID with your organization ID. For more information, see Determine organization ID.Replace AXIOM_DOMAIN with the base domain of your edge deployment. For more information, see Edge deployments.For token creation and scoping guidance, see Token hygiene for AI agents.