# skills

> skills — tribal-memory-skills. Use this tool when you need to leverage cross-harness skills for Tribal, solving integration and development problems by utilizing git capabilities to streamline workflows and enhance collaboration. It accepts relevant code and configuration inputs, producing optimized and synchronized outputs. Ideal for use cases requiring seamless git integration and skill harnessing in Tribal environments.

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

## Description

Cross-harness skills for Tribal

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/tribal-memory/skills)

## 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": "tribal-memory-skills"
    }
  }
}
```

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