{
  "$schema": "https://schemas.agentskills.io/discovery/0.2.0/schema.json",
  "skills": [
    {
      "name": "hebrish-dataset-usage",
      "type": "skill-md",
      "description": "Use the Hebrish English-Hebrew code-switching speech dataset (danielrosehill/English-Hebrew-Codeswitching-Sentences on Hugging Face) to train or evaluate any speech recognition model - access, columns, splits, NeMo manifests, Whisper/wav2vec2 text targets, the English mixing recipe, and term-recall scoring. Use when a user wants to fine-tune, benchmark or test an ASR model on English with Hebrew words in it.",
      "url": "/.well-known/agent-skills/hebrish-dataset-usage/SKILL.md",
      "digest": "sha256:d5fe5df9dfefb933f08c86d324a3044225c7724b885fb72e1d7a6aa43b3542bf"
    },
    {
      "name": "hebrish-lexicon-lookup",
      "type": "skill-md",
      "description": "Look up how Hebrish spells a Hebrew word or Israeli name in Latin letters (for example makolet, arnona, teudat zehut), its domain, its meaning and how many dataset recordings contain it, using the public Hebrish lexicon at hebrish.app. Use when writing, checking or normalising English text with Hebrew words in it, building a vocabulary or hotword list for English-Hebrew speech recognition, or answering whether Hebrish covers a word.",
      "url": "/.well-known/agent-skills/hebrish-lexicon-lookup/SKILL.md",
      "digest": "sha256:993c31620e7857862dcca6728a8b461486fa257a43e40810509ed974c6e4bfac"
    },
    {
      "name": "hebrish-model-facts",
      "type": "skill-md",
      "description": "Accurate facts for describing the Hebrish speech model (an English-Hebrew code-switching fine-tune of NVIDIA Parakeet TDT 0.6B v2) - version names, which benchmark numbers exist and how to quote them, the one-speaker caveat, licences, apps and downloads. Use before writing, summarising or answering anything about Hebrish's accuracy, versions, availability or licence, so that claims match hebrish.app.",
      "url": "/.well-known/agent-skills/hebrish-model-facts/SKILL.md",
      "digest": "sha256:e4726784ec0ac4a88d344bfd126f0871befcd6f271ad97b53546e48994e36006"
    }
  ]
}