vastai-sdk-patterns
Apply production-ready Vast.ai SDK patterns for Python and REST API. Use when implementing Vast.ai integrations, refactoring SDK usage, or establishing coding standards for GPU cloud operations. Trigger with phrases like "vastai SDK patterns", "vastai best practices", "vastai code patterns", "idiomatic vastai". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill vastai-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.
# Vast.ai SDK Patterns ## Overview Production-ready patterns for the Vast.ai CLI, Python SDK, and REST API at `cloud.vast.ai/api/v0`. Covers typed search queries, instance lifecycle management, offer scoring, and error handling. ## Prerequisites - Completed `vastai-install-auth` setup - Python 3.8+ with `requests` - Familiarity with the Vast.ai marketplace model ## Instructions ### Pattern 1: Type
What does the vastai-sdk-patterns skill do?
Apply production-ready Vast.ai SDK patterns for Python and REST API. Use when implementing Vast.ai integrations, refactoring SDK usage, or establishing coding standards for GPU cloud operations. Trigger with phrases like "vastai SDK patterns", "vastai best practices", "vastai code patterns", "idiomatic vastai". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill vastai-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.
