speak-core-workflow-b
Execute Speak secondary workflow: Pronunciation Training with phoneme-level analysis. Use when implementing pronunciation drills, speech scoring, or targeted pronunciation improvement features. Trigger with phrases like "speak pronunciation training", "speak speech scoring", "speak phoneme analysis". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill speak-core-workflow-b --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 Core Workflow B: Pronunciation Training ## Overview Secondary workflow for Speak: detailed pronunciation training with phoneme-level analysis and adaptive practice. Uses OpenAI's speech recognition with Speak's proprietary proficiency graph to identify and drill weak phonemes. ## Prerequisites - Completed `speak-core-workflow-a` - Audio recording capability (WAV 16kHz mono) - ffmpeg instal
What does the speak-core-workflow-b skill do?
Execute Speak secondary workflow: Pronunciation Training with phoneme-level analysis. Use when implementing pronunciation drills, speech scoring, or targeted pronunciation improvement features. Trigger with phrases like "speak pronunciation training", "speak speech scoring", "speak phoneme analysis". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill speak-core-workflow-b --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.