FreePublished on GitHub

espnet

Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill

See how to install

Files included (40)

SKILL.md3.9 KB
references/repo-provenance.md1.4 KB
references/repo-routing-metadata.json487 B
references/task-surface.md2.1 KB
references/troubleshooting.md2.9 KB
scripts/check_import_surface.py2.0 KB
sub-skills/development-and-testing/references/ci-command-map.md1.2 KB
sub-skills/development-and-testing/references/testing-and-contributing.md1.7 KB
sub-skills/development-and-testing/references/troubleshooting.md1.4 KB
sub-skills/development-and-testing/scripts/select_espnet_tests.py2.1 KB
sub-skills/development-and-testing/SKILL.md1.1 KB
sub-skills/espnet2-training/references/configuration-and-components.md1.3 KB
sub-skills/espnet2-training/references/gpu-distributed-training.md1.6 KB
sub-skills/espnet2-training/references/training-cli-reference.md2.1 KB
sub-skills/espnet2-training/references/troubleshooting.md1.6 KB
sub-skills/espnet2-training/scripts/inspect_training_cli.py1.7 KB
sub-skills/espnet2-training/scripts/make_dry_run_command.py1.5 KB
sub-skills/espnet2-training/SKILL.md1.2 KB
sub-skills/espnet3-workflows/references/configuration.md1.1 KB
sub-skills/espnet3-workflows/references/stage-runner.md1.2 KB
sub-skills/espnet3-workflows/references/troubleshooting.md1.2 KB
sub-skills/espnet3-workflows/scripts/inspect_espnet3_stages.py2.5 KB
sub-skills/espnet3-workflows/SKILL.md1.1 KB
sub-skills/inference-and-model-zoo/references/inference-api-reference.md2.2 KB
sub-skills/inference-and-model-zoo/references/model-zoo-and-packaging.md1.5 KB
sub-skills/inference-and-model-zoo/references/troubleshooting.md1.3 KB
sub-skills/inference-and-model-zoo/scripts/check_model_files.py2.2 KB
sub-skills/inference-and-model-zoo/scripts/inspect_inference_entrypoints.py3.1 KB
sub-skills/inference-and-model-zoo/SKILL.md1.1 KB
sub-skills/installation-and-diagnostics/references/install-matrix.md4.2 KB
sub-skills/installation-and-diagnostics/references/troubleshooting.md2.2 KB
sub-skills/installation-and-diagnostics/scripts/check_espnet_environment.py4.1 KB
sub-skills/installation-and-diagnostics/SKILL.md1.1 KB
sub-skills/recipes-and-data/references/espnet2-recipes.md2.3 KB
sub-skills/recipes-and-data/references/kaldi-data-formats.md1.8 KB
sub-skills/recipes-and-data/references/troubleshooting.md1.6 KB
sub-skills/recipes-and-data/references/utility-cli-reference.md1.5 KB
sub-skills/recipes-and-data/scripts/make_tiny_kaldi_fixture.py1.6 KB
sub-skills/recipes-and-data/scripts/validate_kaldi_data_dir.py3.8 KB
sub-skills/recipes-and-data/SKILL.md1.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

ESPnet Repo Skill

Use this operating skill when a task involves ESPnet, the end-to-end speech processing toolkit for ASR, TTS, speech translation, enhancement/separation, speaker tasks, diarization, SLU, SVS, SpeechLM, and related audio workflows.

This skill is self-contained. Do not assume the source checkout used to create it is available unless the user is explicitly editing an ESPnet checkout. Prefer the bundled references and scripts here over reopening original docs, examples, or tools.

First response pattern

Classify the request: install/diagnose, prepare recipe data, train/configure, run inference/model-zoo, use ESPnet3 stages, or develop/test ESPnet.
Read the matching sub-skill before detailed commands.
Use bundled helper scripts when they fit. They are safe by default: no downloads, no package installs, no training, no uploads.
Keep backend claims honest. CPU parser/import checks do not prove CUDA, distributed, FlashAttention, k2, or recipe-scale training.

Minimal package check

python -c "import espnet2, espnet3; print('ESPnet imports ok')"

For source development or editable use, install only the selected task extras, e.g. pip install -e ".[asr]" for ASR or pip install -e ".[tts]" for TTS. Avoid .[all] unless the user truly needs many optional task families.

Route map

User intent	Read next	Why
Install ESPnet, choose extras, diagnose imports or optional tools	installation-and-diagnostics	Base dependencies, extras, host tools, CUDA probes, safe environment checker.
Create/adapt ESPnet2 recipes, validate `data/`, understand `wav.scp`/`segments`, stage commands, tokenization utilities	recipes-and-data	Kaldi-style data layouts, task script stage flow, validation helpers, utility CLIs.
Configure/train ESPnet2 models, use `--print_config`, dry-run configs, tune components, resume/fine-tune, GPU/distributed flags	espnet2-training	Train modules, Task config semantics, dry-run command generation, training troubleshooting.
Run pretrained or local inference, use `from_pretrained`, `ModelDownloader`, streaming ASR, enhancement, TTS, packaging	inference-and-model-zoo	Inference classes/CLIs, model file pairing, model zoo, packaging checks.
Use ESPnet3 System/Hydra stage runner, configs, `--stages`, demo/publication boundaries	espnet3-workflows	ESPnet3 stage order, required config flags, safe stage inspection.
Modify ESPnet source, choose tests, debug CI, add recipe/module tests, follow contribution conventions	development-and-testing	Focused pytest/CI command selection, style, recipe PR policy, maintainer troubleshooting.

Shared runtime files

references/task-surface.md maps task families and routing signals.
references/troubleshooting.md covers cross-cutting failure routing.
references/repo-provenance.md records the source snapshot for refresh decisions.
scripts/check_import_surface.py safely imports selected ESPnet modules.

Safety boundaries

Ask before full recipes, dataset acquisition, model downloads, Gradio demos, uploads, long training, or broad CI.
CUDA is optional unless the user's selected workflow requires GPU runtime.
Model-zoo tasks are network/cache dependent; validate local file paths before downloads.

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Report a problem with this skill

Install

Install with a command

npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill espnet

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/espnet/ for Claude Code, or ~/.agents/skills/espnet/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: VectorSpaceLab/AREX-Skill
Stars: 338
Forks: 26
Category: Testing & Security
License: Apache-2.0
Original language: English
Last updated: Sep 3, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.