# vayl

> vayl — vayl-dev-vayl. Use this tool when you need to reconcile memory for coding agents and prevent stale suggestions after switching libraries or decisions. It solves the problem of outdated code recommendations by updating the AI assistant's memory, ensuring seamless integration with MCP servers for Cursor and Claude Code. Ideal for use with git, this tool streamlines coding workflows and improves overall development efficiency.

Canonical page: https://skillsregistry.net/skills/vayl-dev-vayl  
JSON: https://api.skillsregistry.net/v1/skills/vayl-dev-vayl

## Description

Reconciling memory for coding agents: switch a library or decision and your AI assistant actually forgets the old one — no stale suggestions. MCP server for Cursor & Claude Code.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vayl-dev/vayl)

## 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": "vayl-dev-vayl"
    }
  }
}
```

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