# core

> Use this tool when you need to recall past conversations and user preferences, or organize work into manageable spaces with searchable long-term memory. It solves problems of information overload and context switching by providing a unified interface to access and act on data across connected services like GitHub, Linear, and Slack. With discoverable integration actions, it streamlines workflows and enhances productivity.

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

## Description

Recall past conversations and user preferences with searchable long‑term memory. Organize work into spaces and quickly load rich project context. Act across connected services like GitHub, Linear, and Slack with discoverable integration actions.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/harshith/core)

## 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": "harshith-core"
    }
  }
}
```

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