# lore

> lore — m2ai-portfolio-lore. Use this tool when you need to retain institutional knowledge and streamline AI coding agent decision-making processes. It solves problems of repeated explanations and external documentation by encoding decision rationale, constraints, and alternatives as git trailers. Ideal for use in collaborative coding environments where knowledge retention and transparency are crucial.

Canonical page: https://skillsregistry.net/skills/m2ai-portfolio-lore  
JSON: https://api.skillsregistry.net/v1/skills/m2ai-portfolio-lore

## Description

Lore lets AI coding agents retain institutional knowledge by encoding decision rationale, constraints, and alternatives as git trailers, eliminating re‑explaining and external docs.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/m2ai-portfolio/lore)

## 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": "m2ai-portfolio-lore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m2ai-portfolio-lore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m2ai-portfolio-lore/pull`

---
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