# streams

> Use this tool when you need to manage and version control data streams, solving problems of data consistency and collaboration across distributed systems. It takes in Git repositories as input and outputs a unified stream of data, enabling efficient tracking and management of changes. Ideal for use cases involving real-time data integration and version control in development environments.

Canonical page: https://skillsregistry.net/skills/navanithbharadwaj-streams  
JSON: https://api.skillsregistry.net/v1/skills/navanithbharadwaj-streams

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/navanithbharadwaj/streams)

## 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": "navanithbharadwaj-streams"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/navanithbharadwaj-streams` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/navanithbharadwaj-streams/pull`

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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