# recall-kit

> recall-kit — zzusp-recall-kit. Use this tool when you need to leverage past coding experiences to improve development efficiency, recalling successful solutions to common problems and reducing trial-and-error cycles. The recall-kit toolkit takes in past project data from git repositories and outputs actionable insights, streamlining the coding process. Ideal for developers seeking to optimize their workflow and learn from previous successes and failures.

Canonical page: https://skillsregistry.net/skills/zzusp-recall-kit  
JSON: https://api.skillsregistry.net/v1/skills/zzusp-recall-kit

## Description

An open-source toolkit that enables vibe coding to learn from past experiences rather than repeatedly trying and failing.

## Trust

- **Trust score (0–1):** 0.19
- **Verification tier:** scanned
- **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/zzusp/recall-kit)

## 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": "zzusp-recall-kit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zzusp-recall-kit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zzusp-recall-kit/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