# spar-agent

> spar-agent — lander-parren-spar. Use this tool when you need to refine your coding skills by comparing your predictions with AI-generated implementations. The spar-agent solves problems of knowledge gaps and misconceptions in coding by providing logged feedback and spaced-repetition learning. It takes in code predictions and outputs personalized learning feedback, ideal for use during coding practice or debugging sessions.

Canonical page: https://skillsregistry.net/skills/lander-parren-spar  
JSON: https://api.skillsregistry.net/v1/skills/lander-parren-spar

## Description

Enables developers to compare their code predictions against AI-generated implementations, log misconceptions, and receive spaced-repetition learning feedback to guide their understanding of gaps.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rp9fsexzry)
- **Repository:** <https://github.com/Lander-Parren/spar>

## 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": "lander-parren-spar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lander-parren-spar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lander-parren-spar/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