# spantail

> spantail — spantail-spantail. Use this tool when you need to streamline collaboration between human and AI teams by tracking work logs and AI-agent sessions in a unified timeline. It solves problems of disjointed workflows and reporting by integrating human work and AI activity into customizable reports. Input your team's work and AI sessions, and output tailored reports to enhance productivity and transparency.

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

## Description

The open-source work log for human + AI teams — one timeline of human work and AI-agent sessions, turned into any report.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/spantail/spantail)

## 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": "spantail-spantail"
    }
  }
}
```

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