Turns audio files into text using hosted Whisper models, with optional timestamps for subtitle work. You get durable artifacts, async job handling, and a choice between quality (standard) and speed (turbo). The skill manages the whole flow: request submission, polling, downloading results, and organizing everything under `.postplus/audio-transcription`. It hands off cleanly to subtitle-packager if you need SRT or ASS output. The execution boundary is clear and the CLI stops on real errors instead of guessing, which honestly feels rare and good. Best for speech-to-text jobs where you need persistence and timing data, not quick throwaway transcripts.
npx -y skills add postplusai/postplus-skills --skill audio-transcription --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills