# Lore

> Use this tool when you need to retain context and recall past decisions across coding sessions, enabling infinite searchable memory for coding agents. It solves problems of knowledge loss and context switching, allowing agents to learn from previous interactions and make informed decisions. Ideal for use cases where coding agents require persistent memory and contextual understanding to improve performance and accuracy.

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

## Description

Enables infinite searchable memory for coding agents across sessions, allowing them to recall past decisions and context.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zjlej2ukqg)
- **Repository:** <https://github.com/jordanhindo/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": "jordanhindo-lore"
    }
  }
}
```

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