Cursor rule Cursor
Purpose: Maintain high standards for dbt models.
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original MIT
Cursor rule Cursor
Purpose: Build a consistent, governed, and reusable semantic layer using dbt's native semantic models.
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original MIT
Cursor rule Cursor
def transformrevenuedata(df: pd.DataFrame) -> pd.DataFrame: """Transform revenue data for analysis.
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original MIT
Cursor rule Cursor
A collection of cognitive enhancement rules and methodologies for AI-assisted development.
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Cursor rule Cursor
Purpose: Ensure efficient, maintainable SQL queries. Research shows: Query optimization can reduce execution time by 10-100x and resource consumption by 50-90% (Ioannidis, 1996).
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Cursor rule Cursor
/project/ ├── corefiles.py # Main functionality ├── /tests/ # All testing files ├── /scripts/ # Deployment & utilities ├── /utils/ # Helper functions ├── /services/ # Business logic ├── /schemas/ # Data definitions └── /docs/ # Documentation.
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original MIT
Cursor rule Cursor
Generate and compare 3 database options using quantitative scoring.
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Cursor rule Cursor
Core tool selection heuristics - optimized.
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Cursor rule Cursor
Default API tool reference - lazy loaded.
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original MIT
Cursor rule Cursor
MCP tool detailed reference - lazy loaded.
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original MIT
Cursor rule Cursor
Advanced agent patterns - lazy loaded.
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original MIT
Cursor rule Cursor
Agent error recovery patterns - lazy loaded.
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original MIT
Cursor rule Cursor
Core patterns for Cursor Agent integration - optimized.
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Cursor rule Cursor
try: result = callexternalapi(query) except TransientError as e.
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Cursor rule Cursor
\.
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original MIT
Cursor rule Cursor
Guide optimization of system constraints based on the discovery that multiple AI agents independently converged on 60% as the optimal constraint level across diverse domains. This rule provides heuristics for finding optimal constraints in new systems.
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original MIT
Cursor rule Cursor
description: globs: alwaysApply: false.
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original MIT
Cursor rule Cursor
Indirect coordination through environmental modifications.
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original MIT
Cursor rule Cursor
alwaysApply: true.
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original MIT
Cursor rule Cursor
80/20 framework for data analytics task prioritization.
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original MIT
Cursor rule Cursor
Purpose: Standardize service interfaces for consistency and usability.
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original MIT
Cursor rule Cursor
To provide a systematic framework for discovering, documenting, and handling discrepancies between vendor-supplied API/webhook documentation and actual implementation behavior. Empirical Impact: Vendor documentation accuracy averages 60-70%, with webhook implementations showing 40% format variations from documented…
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original MIT
Cursor rule Cursor
from pydantic import BaseModel, Field, EmailStr.
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original MIT
Cursor rule Cursor
!/bin/bash set -euo pipefail.
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original MIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: