cassandra
Apache Cassandra distributed database for high availability. Use for distributed systems.
Best use case
cassandra is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Apache Cassandra distributed database for high availability. Use for distributed systems.
Teams using cassandra should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cassandra/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cassandra Compares
| Feature / Agent | cassandra | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Apache Cassandra distributed database for high availability. Use for distributed systems.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Apache Cassandra Cassandra is a wide-column store database designed for scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. ## When to Use - **High Write Throughput**: Ingests millions of writes per second. - **Always On**: Zero single points of failure. Updates can happen even if nodes are down (Eventual Consistency). - **Multi-Region**: Active-Active multi-region replication is built-in. ## Quick Start (CQL) ```sql CREATE TABLE users ( user_id UUID PRIMARY KEY, name text, email text ); INSERT INTO users (user_id, name) VALUES (uuid(), 'Alice'); ``` ## Core Concepts ### Partition Key & Clustering Key - **Partition Key**: Determines which node holds the data. - **Clustering Key**: Sorts data _within_ the partition on disk. ### Tunable Consistency You choose consistency level per query. - `ANY`: Fastest, least specific. - `QUORUM`: Majority must acknowledge. Balanced. - `ALL`: Slowest, safest. ### Vector Search (5.0+) Native support for Vector Search (ANN) allows using Cassandra as a Vector DB for AI apps. ## Best Practices (2025) **Do**: - **Query by Partition Key**: Always. Scans are prohibited in production. - **Use SAI (Storage Attached Indexes)**: New in 5.0. Better than old secondary indexes. - **Denormalize**: Optimize schema for Reads. It is okay to duplicate data into 3 tables to satisfy 3 different query patterns. **Don't**: - **Don't use distributed joins**: Cassandra doesn't do joins. Join in the app. - **Don't use large partitions**: Keep partitions under 100MB to avoid compaction issues. ## References - [Apache Cassandra Documentation](https://cassandra.apache.org/doc/latest/)
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