# Calva Backseat Driver

> Use this tool when you need to enhance AI coding assistants with interactive Clojure programming capabilities, enabling them to evaluate code, perform structural edits, and access symbol documentation. It solves problems such as limited coding assistance and lack of runtime evaluation, providing inputs like code snippets and outputs like evaluation results and documentation. Ideal for use cases where AI agents require hands-on interaction with Clojure REPLs to provide more effective coding support.

Canonical page: https://skillsregistry.net/skills/betterthantomorrow-calva-backseat-driver  
JSON: https://api.skillsregistry.net/v1/skills/betterthantomorrow-calva-backseat-driver

## Description

Enables AI assistants to interact with Clojure REPLs for evaluating code, performing structural edits with bracket balancing, and looking up symbol documentation. Transforms AI coding assistants into interactive programming partners with access to runtime evaluation and real data structures.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fszz6ikvb0)
- **Repository:** <https://github.com/BetterThanTomorrow/calva-backseat-driver>

## 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": "betterthantomorrow-calva-backseat-driver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/betterthantomorrow-calva-backseat-driver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/betterthantomorrow-calva-backseat-driver/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