ai-layoff-radar
Detect AI-driven layoffs from global news and generate structured risk reports.
Best use case
ai-layoff-radar is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Detect AI-driven layoffs from global news and generate structured risk reports.
Teams using ai-layoff-radar should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-layoff-radar/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-layoff-radar Compares
| Feature / Agent | ai-layoff-radar | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Detect AI-driven layoffs from global news and generate structured risk reports.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# AI Layoff Radar
Detect global layoffs caused by AI adoption, automation rollout, and AI-led efficiency programs.
## When to use this skill
Activate this skill when the user asks to find, summarize, or monitor layoffs linked to AI adoption.
Use it for triggers such as:
- AI layoffs
- automation layoffs
- job cuts caused by AI
- companies replacing workers with AI
- AI efficiency layoffs
## Steps
1. Scan news sources.
2. Extract layoff events.
3. Detect AI-related causality.
4. Generate a structured report.
## Output format
Return JSON with fields:
- `company`
- `date`
- `country`
- `layoff_size`
- `ai_causality_score`
- `summary`
## Example
User query:
`Find recent AI layoffs`
Example JSON response:
```json
{
"summary": {
"total_events": 2,
"top_companies": ["Example Corp", "Sample Systems"]
},
"detected_events": [
{
"company": "Example Corp",
"date": "2026-03-04T14:20:00+00:00",
"country": "USA",
"layoff_size": 1200,
"ai_causality_score": 88,
"summary": "Company announced layoffs after AI automation rollout in customer operations."
},
{
"company": "Sample Systems",
"date": "2026-03-03T09:10:00+00:00",
"country": "UK",
"layoff_size": 350,
"ai_causality_score": 74,
"summary": "Job cuts tied to AI efficiency program and workflow automation."
}
]
}
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