# keddy

> keddy — emiraksay-keddy. Use this tool when you need to enhance your coding agent's session intelligence, streamlining your development workflow and improving collaboration through git integration. It solves problems related to code management, version control, and team coordination. By providing insights and automation, keddy takes input from your coding sessions and outputs optimized workflows, making it ideal for use during collaborative coding projects or when working with complex git repositories.

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

## Description

Session intelligence for your coding agent.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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": "emiraksay-keddy"
    }
  }
}
```

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