# chat.prelim/prelim

> Use this tool when you need to review and analyze AI-powered preliminary phone screens, accessing candidate scores, transcripts, and analytics to streamline your hiring process. It solves problems related to candidate evaluation, providing valuable insights to inform hiring decisions. The tool takes in phone screen data and outputs detailed reports and analytics, making it ideal for use during the candidate screening and selection phase.

Canonical page: https://skillsregistry.net/skills/chat-prelim-prelim  
JSON: https://api.skillsregistry.net/v1/skills/chat-prelim-prelim

## Description

Read AI preliminary phone screens — your roles, candidate scores, transcripts, and analytics.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/chat.prelim%2Fprelim)

## Use it

MCP endpoint published by the skill: `https://mcp.prelim.chat/mcp`

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": "chat-prelim-prelim"
    }
  }
}
```

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

---
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