espnet
Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and…
Skill by VectorSpaceLab
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vectorspacelab-espnet
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: testing, ml
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/espnet
What's inside
- Skill name
espnet- Description
- Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.
- License
- Apache-2.0
- Metadata
- disco-role: operating
- Instructions
- 46 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (40)
- SKILL.md
- repo-provenance.md · references/
- repo-routing-metadata.json · references/
- task-surface.md · references/
- troubleshooting.md · references/
- check_import_surface.py · scripts/
- SKILL.md · sub-skills/development-and-testing/
- ci-command-map.md · sub-skills/development-and-testing/references/
- testing-and-contributing.md · sub-skills/development-and-testing/references/
- troubleshooting.md · sub-skills/development-and-testing/references/
- select_espnet_tests.py · sub-skills/development-and-testing/scripts/
- SKILL.md · sub-skills/espnet2-training/
- configuration-and-components.md · sub-skills/espnet2-training/references/
- gpu-distributed-training.md · sub-skills/espnet2-training/references/
- training-cli-reference.md · sub-skills/espnet2-training/references/
- troubleshooting.md · sub-skills/espnet2-training/references/
- inspect_training_cli.py · sub-skills/espnet2-training/scripts/
- make_dry_run_command.py · sub-skills/espnet2-training/scripts/
- SKILL.md · sub-skills/espnet3-workflows/
- configuration.md · sub-skills/espnet3-workflows/references/
- stage-runner.md · sub-skills/espnet3-workflows/references/
- troubleshooting.md · sub-skills/espnet3-workflows/references/
- inspect_espnet3_stages.py · sub-skills/espnet3-workflows/scripts/
- SKILL.md · sub-skills/inference-and-model-zoo/
- inference-api-reference.md · sub-skills/inference-and-model-zoo/references/
- model-zoo-and-packaging.md · sub-skills/inference-and-model-zoo/references/
- troubleshooting.md · sub-skills/inference-and-model-zoo/references/
- check_model_files.py · sub-skills/inference-and-model-zoo/scripts/
- inspect_inference_entrypoints.py · sub-skills/inference-and-model-zoo/scripts/
- SKILL.md · sub-skills/installation-and-diagnostics/
- install-matrix.md · sub-skills/installation-and-diagnostics/references/
- troubleshooting.md · sub-skills/installation-and-diagnostics/references/
- check_espnet_environment.py · sub-skills/installation-and-diagnostics/scripts/
- SKILL.md · sub-skills/recipes-and-data/
- espnet2-recipes.md · sub-skills/recipes-and-data/references/
- kaldi-data-formats.md · sub-skills/recipes-and-data/references/
- troubleshooting.md · sub-skills/recipes-and-data/references/
- utility-cli-reference.md · sub-skills/recipes-and-data/references/
- make_tiny_kaldi_fixture.py · sub-skills/recipes-and-data/scripts/
- validate_kaldi_data_dir.py · sub-skills/recipes-and-data/scripts/
SKILL.md (first lines)
# 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
1. Classify the request: install/diagnose, prepare recipe data, train/configure, run inference/model-zoo, use ESPnet3 stages, or develop/test ESPnet.
2. Read the matching sub-skill before detailed commands.
3. Use bundled helper scripts when they fit. They are safe by default: no downloads, no package installs, no training, no uploads.
4. Keep backend claims honest. CPU parser/import checks do not prove CUDA, distributed, FlashAttention, k2, or recipe-scale training.
## Minimal package check
```bash
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](sub-skills/installation-and-diagnostics/SKILL.md) | 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](sub-skills/recipes-and-data/SKILL.md) | 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](sub-skills/espnet2-training/SKILL.md) | 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](sub-skills/inference-and-model-zoo/SKILL.md) | Inference classes/CLIs, model file pairing, model zoo, packaging checks. |
| Use ESPnet3 System/Hydra stage runner, configs, `--stages`, demo/publication boundaries | [espnet3-workflows](sub-skills/espnet3-workflows/SKILL.md) | 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](sub-skills/development-and-testing/SKILL.md) | Focused pytest/CI command selection, style, recipe PR policy, maintainer troubleshooting. |
## Shared runtime files
- [references/task-surface.md](references/task-surface.md) maps task families and routing signals.
- [references/troubleshooting.md](references/troubleshooting.md) covers cross-cutting failure routing.
- [references/repo-provenance.md](references/repo-provenance.md) records the source snapshot for refresh decisions.
- [scripts/check_import_surface.py](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.From VectorSpaceLab/AREX-Skill, Apache-2.0.
More from VectorSpaceLab/AREX-Skill
- 0.563score
data-designer-repo-skill
VectorSpaceLab
Use when you need to design DataDesigner configs, run preview/create/validate workflows, inspect the CLI or agent context, work with plugins or MCP tools, or…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
geopandas
VectorSpaceLab
Use when working with GeoPandas GeoDataFrame and GeoSeries workflows, vector geospatial I/O, CRS-aware spatial operations, mapping, geocoding, and…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
bentoml
VectorSpaceLab
Use BentoML to author model-serving Services, build and containerize Bentos, run HTTP/gRPC servers and clients, manage models, operate the CLI and BentoCloud…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dash
VectorSpaceLab
Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
diffusers
VectorSpaceLab
Use this skill for Hugging Face Diffusers tasks: pipeline inference, schedulers, adapters/loaders, training recipes, modular pipelines, conversion helpers…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
everos
VectorSpaceLab
Use this skill for EverOS local-first Markdown memory service setup, HTTP memory and knowledge APIs, cascade/OME operations, and observability integration.
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
alphafold3
VectorSpaceLab
Use this skill for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
autogen
VectorSpaceLab
Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
browser-use
VectorSpaceLab
Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dagster
VectorSpaceLab
Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
datasets
VectorSpaceLab
Use this skill when working with Hugging Face Datasets: loading local or Hub datasets, defining Features schemas, processing/streaming datasets, converting…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
repo-skills-router
VectorSpaceLab
Routes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills.
SkillBFreshness: B★ 341Claude Code +9
Signals
- Stars
- 341
- Forks
- 26
- Open issues
- 0
- Last commit (this folder)
- Aug 26, 2026 (2 months ago)
- Last release
- Sep 2, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/VectorSpaceLab/AREX-Skill
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from VectorSpaceLab
- 0.563score
bentoml
VectorSpaceLab
Use BentoML to author model-serving Services, build and containerize Bentos, run HTTP/gRPC servers and clients, manage models, operate the CLI and BentoCloud…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dagster
VectorSpaceLab
Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
alphafold3
VectorSpaceLab
Use this skill for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
autogen
VectorSpaceLab
Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
browser-use
VectorSpaceLab
Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI…
SkillBFreshness: B★ 341Claude Code +9 - 0.563score
dash
VectorSpaceLab
Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash…
SkillBFreshness: B★ 341Claude Code +9
Cite this page
espnet skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-espnet (last updated 2026-10-24)