# NASC — Networked AI Session Continuity

> Use this tool when you need to maintain context and continuity across multiple AI development sessions, solving problems of lost progress and cold starts. NASC enables seamless handovers of shared memory between tools, streamlining workflows and improving productivity. It accepts session data as input and outputs a continuous, up-to-date context for the next session.

Canonical page: https://skillsregistry.net/skills/com-archerionlabs-nasc  
JSON: https://api.skillsregistry.net/v1/skills/com-archerionlabs-nasc

## Description

Shared memory across AI dev tools: each session hands its context to the next, not starting cold.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.archerionlabs%2Fnasc)

## Use it

MCP endpoint published by the skill: `https://nasc.archerionlabs.com/mcp`

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": "com-archerionlabs-nasc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-archerionlabs-nasc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-archerionlabs-nasc/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