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Official agent skill

Transcribe

by JetBrains in JetBrains/skills

Transcribe audio files to text with optional diarization and known-speaker hints.

OfficialApache-2.0Auto-check passedMedia & Creative

Install Transcribe

skills CLI
$ npx skills add JetBrains/skills --skill transcribe -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JetBrains/skills transcribe --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JetBrains/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/transcribe .claude/skills/transcribe && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
transcribe
GitHub stars
366
Used in
4 other repos
Token cost
~776 tokens
SKILL.md length
253 words
Files
7 (incl. scripts, references, assets)
Skills in repo
76
Repo updated
First seen
Licence
Apache-2.0

At a glance

Transcribe audio files to text with optional diarization and known-speaker hints.

  • Works in 5 steps: Collect inputs: audio file path(s),… → Verify OPENAI_API_KEY is set. If… → Run the bundled transcribe_diarize.py… → …
  • A user asks to transcribe speech from audio/video
  • SKILL.md covers Workflow, Decision rules, Output conventions and Dependencies (install if…, plus 4 more sections
  • Runs Python scripts from its folder; calls python3 and uv; needs OPENAI_API_KEY

What it does

Transcribe is an agent skill from JetBrains/skills, published by the product's own GitHub organization. Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/api.md` and `scripts/transcribe_diarize.py`).

It sits in Media & Creative, covering Transcription. It works with OpenAI. The repository describes itself as: Curated agent skills collection verified by JetBrains. The licence is Apache-2.0.

When your agent uses it

  • A user asks to transcribe speech from audio/video
  • Extract text from recordings
  • Label speakers in interviews

Example prompts

  • “/transcribe”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Collect inputs: audio file path(s), desired response format (text/json/diarized_json), optional language hint, and any known speaker…
  2. Verify OPENAI_API_KEY is set. If missing, ask the user to set it locally (do not ask them to paste the key).
  3. Run the bundled transcribe_diarize.py CLI with sensible defaults (fast text transcription).
  4. Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed.
  5. Save outputs under output/transcribe/ when working in this repo.

What it can do on your machine

Read from SKILL.md and the folder at commit e0f258b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Transcribe loads about 776 tokens when it runs, and up to ~891 if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 253 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~776
With references · SKILL.md plus every file in references/, read only if the agent opens them
~891

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from JetBrains/skills at commit e0f258b, republished under its Apache-2.0 licence (© JetBrains). 253 words, ~776 tokens.

Download SKILL.mdSave it as .claude/skills/transcribe/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
transcribe
description
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
metadata.short-description
Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.
metadata.author
OpenAI
metadata.source
https://github.com/openai/skills/tree/main/skills/.curated/transcribe

Audio Transcribe

Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.

Workflow

  1. Collect inputs: audio file path(s), desired response format (text/json/diarized_json), optional language hint, and any known speaker references.
  2. Verify OPENAI_API_KEY is set. If missing, ask the user to set it locally (do not ask them to paste the key).
  3. Run the bundled transcribe_diarize.py CLI with sensible defaults (fast text transcription).
  4. Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed.
  5. Save outputs under output/transcribe/ when working in this repo.

Decision rules

  • Default to gpt-4o-mini-transcribe with --response-format text for fast transcription.
  • If the user wants speaker labels or diarization, use --model gpt-4o-transcribe-diarize --response-format diarized_json.
  • If audio is longer than ~30 seconds, keep --chunking-strategy auto.
  • Prompting is not supported for gpt-4o-transcribe-diarize.

Output conventions

  • Use output/transcribe/<job-id>/ for evaluation runs.
  • Use --out-dir for multiple files to avoid overwriting.

Dependencies (install if missing)

Prefer uv for dependency management.

uv pip install openai

If uv is unavailable:

python3 -m pip install openai

Environment

  • OPENAI_API_KEY must be set for live API calls.
  • If the key is missing, instruct the user to create one in the OpenAI platform UI and export it in their shell.
  • Never ask the user to paste the full key in chat.

Skill path (set once)

bash
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export TRANSCRIBE_CLI="$CODEX_HOME/skills/transcribe/scripts/transcribe_diarize.py"

User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).

CLI quick start

Single file (fast text default):

python3 "$TRANSCRIBE_CLI" \
  path/to/audio.wav \
  --out transcript.txt

Diarization with known speakers (up to 4):

python3 "$TRANSCRIBE_CLI" \
  meeting.m4a \
  --model gpt-4o-transcribe-diarize \
  --known-speaker "Alice=refs/alice.wav" \
  --known-speaker "Bob=refs/bob.wav" \
  --response-format diarized_json \
  --out-dir output/transcribe/meeting

Plain text output (explicit):

python3 "$TRANSCRIBE_CLI" \
  interview.mp3 \
  --response-format text \
  --out interview.txt

Reference map

  • references/api.md: supported formats, limits, response formats, and known-speaker notes.

© JetBrains, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references, assets) in transcribe of JetBrains/skills.

  • SKILL.md
  • LICENSE.txt
  • agents/openai.yaml
  • assets/transcribe-small.svg
  • assets/transcribe.png
  • references/api.md
  • scripts/transcribe_diarize.py

Open the folder on GitHubat commit e0f258b

Used in 4 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in JetBrains/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Transcribe next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Transcribe compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Transcribe this skillJetBrains/skills3664 repos~776Automated safety check: PassApache-2.0
Venice Audio Transcriptionveniceai/skills143—~1.7kAutomated safety check: PassMIT
Video Transcribewendy7756/AI-Video-Transcriber3.3k—~937Automated safety check: NotesApache-2.0
Video Translatorshang-zhu/violin1.1k—~1kAutomated safety check: NotesMIT
9Router Speech-to-Textdecolua/9router30k—~914Automated safety check: PassMIT
Openai Whisper APIopenclaw/openclaw392k1 repos~518Automated safety check: PassMIT

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  • Venice Audio Transcription

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    143 GitHub stars~1.7k tokensUpdated 3 days ago
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    Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.

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Works with

Categories

Questions about Transcribe

What does Transcribe do?

Transcribe audio files to text with optional diarization and known-speaker hints. Transcribe is an agent skill from JetBrains/skills, published by the product's own GitHub organization. Transcribe audio files to text with optional diarization and known-speaker hints.

When should I use Transcribe?

Transcribe fits situations like: A user asks to transcribe speech from audio/video; extract text from recordings; label speakers in interviews.

How do I install Transcribe in Claude Code?

Run `npx skills add JetBrains/skills --skill transcribe -a claude-code`. Or copy the skill folder (transcribe in JetBrains/skills) into .claude/skills/transcribe in your project. Claude Code loads it when a task matches its description.

How do I install Transcribe in Codex?

Run `npx skills add JetBrains/skills --skill transcribe -a codex`. Or copy the skill folder (transcribe in JetBrains/skills) into .agents/skills/transcribe in your project. Codex loads it when a task matches its description.

Can I use Transcribe in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JetBrains/skills --skill transcribe -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/transcribe, .gemini/skills/transcribe, .github/skills/transcribe and .opencode/skills/transcribe in your project.

What does Transcribe need to run?

Going by SKILL.md and its folder, Transcribe needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and uv) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.

Does Transcribe access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Transcribe safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Transcribe use?

Transcribe is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Transcribe use?

About 776 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 115 tokens, read only when the agent opens those files.

What are the alternatives to Transcribe?

Skills that share tags, products or a category with Transcribe: Venice Audio Transcription (veniceai/skills, 143 stars), Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars), Video Translator (shang-zhu/violin, 1.1k stars) and 9Router Speech-to-Text (decolua/9router, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Transcribe?

JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/skills, which has 366 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on June 29, 2026.

Source: JetBrains/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.