Projection Patterns
Predicts future trends and potential outcomes based on historical data and identified recurring patterns.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add projection-patterns npx -- -y @trustedskills/projection-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"projection-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/projection-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The projection-patterns skill enables AI agents to analyze and predict future trends based on historical data. It identifies recurring patterns in datasets, allowing users to forecast potential outcomes with a high degree of accuracy. This is particularly useful for time-series analysis or scenario modeling.
When to use it
- Forecasting sales or demand based on past performance metrics
- Predicting system behavior in engineering or IT environments
- Modeling potential future events in research or strategic planning
Key capabilities
- Pattern recognition in historical data
- Trend forecasting and prediction
- Scenario-based outcome modeling
Example prompts
- "What will be the projected sales for Q4 based on the last three years of data?"
- "Identify patterns in system logs to predict potential outages."
- "Model possible future outcomes given this set of historical events."
Tips & gotchas
Ensure that your dataset is clean and representative of the trends you want to analyze. The accuracy of projections depends heavily on the quality and relevance of input data.
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