# System Reliability Engineering (SRE) skill





The SRE skill turns AI agents into expert SRE investigators:

* **Investigation methodology**: Hypothesis-driven debugging with systematic triage using Golden Signals and USE/RED methods
* **APL query patterns**: Reference materials for constructing effective Axiom queries
* **Memory system**: Persistent storage that learns from debugging sessions, capturing what works and what doesn't
* **API helpers**: Scripts for querying Axiom directly from the agent

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## Use SRE skill [#use-sre-skill]

The SRE skill activates automatically when you ask your AI agent about:

* Incident response and debugging
* Root cause analysis
* Log investigation
* Production troubleshooting

Example prompts:

* "Investigate why API latency increased in the last hour"
* "Find the root cause of the 500 errors in production"
* "Analyze error patterns in the logs dataset"

## Memory system [#memory-system]

The SRE skill learns from every debugging session. The memory system initializes automatically on first use. Memory persists at `~/.config/amp/memory/axiom-sre/` (global) or `.agents/memory/axiom-sre/` (project/local).

### Tell the agent to remember things [#tell-the-agent-to-remember-things]

* `Remember this for next time.`
* `Save this query, it worked.`
* `Add to memory: the orders team uses #orders-oncall.`

### Learn automatically [#learn-automatically]

The SRE skill automatically captures what works and what doesn't when:

* A query or approach finds the root cause.
* You correct it, and it records what didn't work and what did.
* A debugging session completes successfully.

### Customize with your own knowledge [#customize-with-your-own-knowledge]

Customize the SRE skill by adding your own knowledge to the knowledge base files:

* `kb/facts.md`: Team contacts, Slack channels, conventions.
* `kb/integrations.md`: Database connections, API endpoints.
* `kb/patterns.md`: Failure patterns you've seen before.