# build-session

> build-session — stevenartzt-build-session. Use this tool when you need to create and manage productive autonomous agent sessions, solving problems related to inefficient or unstructured agent interactions. It provides a framework for organizing and optimizing agent sessions, taking in input parameters and outputting structured session data. Ideal for use cases where autonomous agents require guided interaction, such as complex task automation or multi-agent collaboration.

Canonical page: https://skillsregistry.net/skills/stevenartzt-build-session  
JSON: https://api.skillsregistry.net/v1/skills/stevenartzt-build-session

## Description

A framework for productive autonomous agent sessions.

## 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:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/stevenartzt-build-session)

## 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": "stevenartzt-build-session"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stevenartzt-build-session` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stevenartzt-build-session/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