# Slipstream

> Slipstream — tathagat22-slipstream. Use this tool when you need to efficiently process and share information across multiple AI agents, reducing token usage by up to 89%. Slipstream solves the problem of redundant data processing by providing a shared cache of distilled content, accessible via content-addressed markdown. It is ideal for use cases where multiple agents require synchronized access to cleaned and optimized web content.

Canonical page: https://skillsregistry.net/skills/tathagat22-slipstream  
JSON: https://api.skillsregistry.net/v1/skills/tathagat22-slipstream

## Description

A shared distillation cache for AI agents — clean-crawl a URL once, distill it to token-optimal markdown, and serve it content-addressed across every agent (~73–89% fewer tokens). Includes a collective-notes layer and cutoff-aware change detection.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aeqrpucj5j)
- **Repository:** <https://github.com/tathagat22/slipstream>

## 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": "tathagat22-slipstream"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tathagat22-slipstream` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tathagat22-slipstream/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