speak-sdk-patterns
Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. Use when implementing sdk patterns features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak sdk patterns", "speak sdk patterns". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill speak-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.
# Speak SDK Patterns ## Overview Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. ## Prerequisites - Completed `speak-install-auth` setup - Valid API credentials configured - ffmpeg installed for audio processing ## Instructions ### Pattern 1: Conversation Session Manager ```typescript class Conversatio
What does the speak-sdk-patterns skill do?
Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. Use when implementing sdk patterns features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak sdk patterns", "speak sdk patterns". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill speak-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.