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Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
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Based on SOC occupation classification
Coordinate and execute peer-to-peer fleet work using NIP-CAS-0006 task-state events, deterministic claims, queue/epic indexes, and Beads projections.
Operating discipline for NIP-29 workrooms shared with other agents and human operators: reply discipline, @mention handoffs, commitment tracking, and where coordination belongs. Aligned to the Metiq NIP-29 harness (allowBots gate, bot-loop pair guard, echo suppression, ambient scan wrapper).
Analyze and document codebase architecture: dependency graphs, module boundaries, API surfaces, tech debt. Use when: (1) user asks 'how is this codebase structured', (2) onboarding to a new project, (3) planning a large feature that spans modules, (4) identifying tech debt or coupling issues. NOT for: specific code changes (use refactor), reviewing a PR (use code-review).
Structured code review for PRs, diffs, or changed files. Use when: (1) reviewing a pull request, (2) checking code quality before merge, (3) auditing changes for correctness/security/performance, (4) user asks to review code or a diff. NOT for: debugging failures (use debug), running tests (use verify), or general code reading.
Manage dependencies: audit outdated packages, resolve conflicts, evaluate alternatives, handle breaking upgrades. Use when: (1) updating dependencies, (2) resolving version conflicts, (3) checking for vulnerabilities in deps, (4) evaluating a new library. NOT for: general code changes, security vulnerabilities in own code (use security-audit).
Generate or update documentation: API docs, README, CHANGELOG, ADRs. Use when: (1) user asks to document code, (2) writing a README for a new project, (3) updating docs after a change, (4) creating architecture decision records. NOT for: inline code comments (just add them), reviewing docs (use code-review).
| name | openai-whisper-api |
| description | Transcribe audio via OpenAI Audio Transcriptions API (Whisper). |
| homepage | https://platform.openai.com/docs/guides/speech-to-text |
| metadata | {"openclaw":{"emoji":"☁️","requires":{"bins":["curl"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY"}} |
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
whisper-1<input>.txt{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json
Set OPENAI_API_KEY, or configure it in ~/.metiq/config.json:
{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE",
},
},
}