Getting Started with Aerospike: A Skill for AI Agents

Where this fits

A developer wants to prototype a low-latency user-profile cache with Aerospike but loses an afternoon to Docker flags, SDK mismatches, and default port confusion. This skill gives an agent the exact steps to spin up Aerospike locally, install a client, and verify put/get — so the developer can focus on the data model, not the database plumbing.

Why agents benefit

• Executes setup end-to-end: The agent can run the official Docker command, pull the right image, and start the database without guessing at flags or volumes.
• Cuts through SDK noise: It knows the current client libraries for Python, Node.js, Go, Java, and C#, so the agent picks the right one and uses the correct connection defaults.
• Explains core concepts naturally: Namespaces, sets, TTL, NSUP, and ports are explained inline, allowing the agent to answer follow-up questions like "why is my data expiring?"
• Avoids Redis/Memcached migration traps: The skill highlights persistence and clustering differences, so the agent can give realistic advice on replacing an in-memory cache.
• Keeps scope tight: It explicitly excludes Aerospike Graph, preventing the agent from drifting into a different product.

Practical scenarios

Local prototype in under 10 minutes

A developer wants to test a real-time leaderboard. The agent starts the Aerospike Community container, creates a namespace, and verifies writes with the Python client — no YAML edits or admin console required.

Cache preflight before a migration

A team using Redis for session storage needs to evaluate Aerospike. The agent runs the Docker image, shows a simple get/put benchmark, and explains persistence and replication defaults that matter for the migration decision.

Debugging a connection failure

A developer's app cannot connect to Aerospike. The agent inspects the client config, checks the default port (3000), and tests connectivity using the correct SDK call — turning a vague error into an actionable fix.

Add it to your agent workflow

Install the skill with:

npx skills add aerospike/agent-skills --skill aerospike-getting-started

Then instruct your agent:

Use the aerospike-getting-started skill to start Aerospike in Docker and verify a put/get with the Python client.

The agent will output the exact Docker command, install the client, and confirm the round-trip — ready to hand back to the developer.

Compare before adopting

Before adding this skill, compare it against alternatives like general NoSQL onboarding skills or raw README scraping. Look at update frequency (this one was last verified in April 2026), whether it targets current Aerospike server versions, and if it matches your workflow — for example, do you need detailed Cloud deployment or only local development?

Why it is worth tracking

With 14 stars and active maintenance, this skill is still early, but its official author and concrete scope make it a reliable starting point for any agent that will touch Aerospike. For a more complete picture, see the Aerospike getting started skill on OpenAgentSkill. Re-evaluate it when you need deeper Aerospike features like secondary indexes, UDFs, or cross-datacenter replication.