# jobsearch-dashboard-ai

> jobsearch-dashboard-ai — carlwelchdesign-jobsearch-dashboard-ai. Use this tool when you need to streamline your job search process with AI-driven role discovery and application management. It solves problems of manual job searching, application tracking, and evidence management by generating truthful application materials and tracking outcomes. The dashboard takes in candidate information and job preferences as inputs and outputs scored job roles, application materials, and workflow tracking, making it ideal for job seekers looking to optimize their search process.

Canonical page: https://skillsregistry.net/skills/carlwelchdesign-jobsearch-dashboard-ai  
JSON: https://api.skillsregistry.net/v1/skills/carlwelchdesign-jobsearch-dashboard-ai

## Description

Local-first AI job search dashboard that discovers and scores roles, manages candidate evidence, generates truthful application materials, tracks outcomes, and supports controlled application workflows with human approval gates.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/carlwelchdesign/jobsearch-dashboard-ai)

## 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": "carlwelchdesign-jobsearch-dashboard-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carlwelchdesign-jobsearch-dashboard-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carlwelchdesign-jobsearch-dashboard-ai/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