# loopspec

> loopspec — sairajbaman-loopspec. Use this tool when you need to enhance AI coding assistants with persistent memory, drift detection, and goal tracking, without requiring API calls. It solves problems of contextual understanding and code completion by providing dependency graphs and integrating with git. Ideal for use cases where smarter coding assistance is required, with a command-line interface and 42 tools at its disposal.

Canonical page: https://skillsregistry.net/skills/sairajbaman-loopspec  
JSON: https://api.skillsregistry.net/v1/skills/sairajbaman-loopspec

## Description

MCP server + CLI that makes AI coding assistants smarter — persistent memory, drift detection, goal tracking, dependency graphs. Zero API calls. 125 tests. 42 tools.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sairajbaman/loopspec)

## 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": "sairajbaman-loopspec"
    }
  }
}
```

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