Triage
TalAter/annyang
Triage and close GitHub issues on TalAter/annyang. An agent skill from TalAter/annyang.
A skill your agent uses when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.
Install Espnet
$ npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill espnet --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/espnet .claude/skills/espnet && rm -rf skills-srcUse ~/.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/
Install the "espnet" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet into .claude/skills/espnet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "espnet", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnetType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill espnet --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/espnet .agents/skills/espnet && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "espnet" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet into .agents/skills/espnet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "espnet", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill espnet --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/espnet .cursor/skills/espnet && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "espnet" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet into .cursor/skills/espnet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "espnet", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/espnet--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill espnet --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/espnet .gemini/skills/espnet && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "espnet" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet into .gemini/skills/espnet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "espnet", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill espnetInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/espnet .github/skills/espnet && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "espnet" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet into .github/skills/espnet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "espnet", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill espnet --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/espnet .opencode/skills/espnet && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "espnet" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/espnet into .opencode/skills/espnet/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "espnet", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
espnet- GitHub stars
- 328
- Token cost
- ~1k tokens
- SKILL.md length
- 388 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.
- Works in 4 steps: Classify the request: install/diagnose,… → Read the matching sub-skill before… → Use bundled helper scripts when they… → …
- Working with ESPnet speech AI toolkit: installation
- SKILL.md covers First response pattern, Minimal package check, Route map and Shared runtime files, plus 1 more section
- Runs Python scripts from its folder; calls pip and python
What it does
Espnet is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/repo-provenance.md`, `references/repo-routing-metadata.json` and `references/task-surface.md`).
It sits in AI & LLM Engineering, covering Speech recognition and synthesis. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- Working with ESPnet speech AI toolkit: installation
- ESPnet2 recipes and training
- Pretrained inference/model zoo
- ESPnet3 stage workflows
Example prompts
- “/espnet”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Classify the request: install/diagnose, prepare recipe data, train/configure, run inference/model-zoo, use ESPnet3 stages, or develop/test…
- 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.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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:
pippython
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, 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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Espnet loads about 1k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 388 words of instructions outside code blocks.
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 VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 388 words, ~1,004 tokens.
Download SKILL.mdSave it as
.claude/skills/espnet/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- 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.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
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.
Show full SKILL.md (208 more words)Show less
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.
© VectorSpaceLab, 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) in skills/repositories/repo-skills/espnet of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/task-surface.md
- references/troubleshooting.md
- scripts/check_import_surface.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Espnet 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Espnet this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| TriageTalAter/annyang | 6.8k | 1 repos | ~810 | Automated safety check: Notes | MIT | |
| Yichen Asrmcncarl/yichen-skills | 4.3k | — | ~780 | Automated safety check: Pass | Custom licence | |
| Dingtalk MinutesDingTalk-Real-AI/dingtalk-workspace-cli | 3.2k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Youtube FetcherJimmySadek/youtube-fetcher-to-markdown | 485 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Yichen Web Researchmcncarl/yichen-skills | 4.3k | — | ~1.9k | Automated safety check: Pass | Custom licence |
Similar skills
Yichen Asr
mcncarl/yichen-skills
逸尘自用的统一音视频转写入口，在 StepFun Step ASR 与火山引擎豆包 ASR 之间按输出需求、安全边界和可用状态路由。用于本地音频或视频的纯文本转写、时间戳、SRT 字幕、口播粗剪，以及转写前体检；用户明确指定服务商时不得静默切换。Use when a local audio or video file needs transcription and the correct…
Dingtalk Minutes
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉 AI 听记。Use when 查询或修改听记摘要、完整逐字稿、关键词、标签、行动项、录音、上传、思维导图、发言人洞察、ASR 热词/识别词配置或分享权限。写文档走 dingtalk-doc；建待办走 dingtalk-todo；日程走 dingtalk-calendar。命令前缀：dws minutes。
Youtube Fetcher
JimmySadek/youtube-fetcher-to-markdown
Retrieve transcripts from YouTube, Instagram, TikTok, X, Vimeo and other video sites, summarize or analyze what was said (and shown on screen), or save an Obsidian-ready Markdown knowledge-base note…
Yichen Web Research
mcncarl/yichen-skills
逸尘自用的互联网研究总入口。用于跨平台且跨阶段、用户尚未确定工具，或明确要求对公司、产品、人物、技术、行业和领域做横纵分析、发展史加现状对比或有来源约束的系统深度研究；先生成有截止日期和证据闸门的计划，再把搜索发现、候选核验、有限归档、按需转写和证据综合路由到…
Volcengine Asr
ysyecust/lecture-to-notes
Transcribe local audio or video with Volcengine Doubao file ASR, including BigASR 1.0 Turbo direct upload and asynchronous 1.0 standard, 1.0 idle, or 2.0 standard jobs through TOS.
More from VectorSpaceLab/AREX-Skill
All 157 skills in this repoAgent Lightning
VectorSpaceLab/AREX-Skill
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
Agent Tools
VectorSpaceLab/AREX-Skill
A skill your agent uses when configuring LiteLLM for MCP tools, A2A agents, Claude Code/Cursor agent gateway traffic, MCP auth/OAuth, tool permissions, semantic filtering, or agent-specific proxy…
Agents And Awel
VectorSpaceLab/AREX-Skill
Build and debug DB-GPT agents, tools, skills, teams, and AWEL workflows, including deterministic local DAG runs and HTTP-trigger topology without assuming an LLM, credential, or external service.
Agents And Middleware
VectorSpaceLab/AREX-Skill
Work on the actively maintained LangChain v1 agent package: initchatmodel, createagent, structured output, tools, middleware, embeddings initialization, provider routing, and agent runtime…
Agents Workflows
VectorSpaceLab/AREX-Skill
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
Alphafold3
VectorSpaceLab/AREX-Skill
A skill your agent uses for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
Related
Categories
Questions about Espnet
What does Espnet do?
A skill your agent uses when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing. Espnet is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with ESPnet speech AI toolkit: installation, ESPnet2 recipes and training, pretrained inference/model zoo, ESPnet3 stage workflows, and repository testing.
When should I use Espnet?
Espnet fits situations like: working with ESPnet speech AI toolkit: installation; ESPnet2 recipes and training; pretrained inference/model zoo; ESPnet3 stage workflows.
How do I install Espnet in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/espnet in VectorSpaceLab/AREX-Skill) into .claude/skills/espnet in your project. Claude Code loads it when a task matches its description.
How do I install Espnet in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill espnet -a codex`. Or copy the skill folder (skills/repositories/repo-skills/espnet in VectorSpaceLab/AREX-Skill) into .agents/skills/espnet in your project. Codex loads it when a task matches its description.
Can I use Espnet 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 VectorSpaceLab/AREX-Skill --skill espnet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/espnet, .gemini/skills/espnet, .github/skills/espnet and .opencode/skills/espnet in your project.
What does Espnet need to run?
Going by SKILL.md and its folder, Espnet needs Python for the scripts in its folder and the command-line tools its instructions call (pip and python). Our summary lists: Python 3.
Does Espnet access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Espnet 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 Espnet use?
Espnet is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Espnet use?
About 1k tokens (SKILL.md is roughly 4k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Espnet?
Skills that share tags, products or a category with Espnet: Triage (TalAter/annyang, 6.8k stars), Yichen Asr (mcncarl/yichen-skills, 4.3k stars), Dingtalk Minutes (DingTalk-Real-AI/dingtalk-workspace-cli, 3.2k stars) and Youtube Fetcher (JimmySadek/youtube-fetcher-to-markdown, 485 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Espnet?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.