oraclecloud-sdk-patterns
Production-grade OCI SDK patterns for client lifecycle, retry logic, and memory leak avoidance. Use when building long-running OCI services, fixing memory leaks with Instance Principal auth, or implementing retry/backoff. Trigger with "oci sdk patterns", "oci retry", "oci memory leak", "oraclecloud client lifecycle". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill oraclecloud-sdk-patterns --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Oracle Cloud SDK Patterns ## Overview Production patterns for the OCI Python SDK that avoid the most common pitfalls: memory leaks from Instance Principal authentication (~10 MiB/hour if clients are recreated per request), missing retry logic for 429/500 errors, and timeout misconfiguration across different service clients. The OCI SDK has different timeout defaults depending on the service (Com
What does the oraclecloud-sdk-patterns skill do?
Production-grade OCI SDK patterns for client lifecycle, retry logic, and memory leak avoidance. Use when building long-running OCI services, fixing memory leaks with Instance Principal auth, or implementing retry/backoff. Trigger with "oci sdk patterns", "oci retry", "oci memory leak", "oraclecloud client lifecycle". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill oraclecloud-sdk-patterns --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
