# hebrew-nikud

> hebrew-nikud — shaharsha-hebrew-nikud. Use this tool when you need to accurately process and understand Hebrew text with vowel points, solving problems related to language translation, text analysis, and linguistic research. It provides a reference for Hebrew nikud, taking in Hebrew characters as input and outputting corresponding vowel points and pronunciation guidance. Ideal for use in natural language processing and machine learning applications involving the Hebrew language.

Canonical page: https://skillsregistry.net/skills/shaharsha-hebrew-nikud  
JSON: https://api.skillsregistry.net/v1/skills/shaharsha-hebrew-nikud

## Description

Hebrew nikud (vowel points) reference for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/shaharsha-hebrew-nikud)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shaharsha-hebrew-nikud"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaharsha-hebrew-nikud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaharsha-hebrew-nikud/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt