Cursor rule Cursor
Purpose: Standardize service interfaces for consistency and usability.
A collection of cognitive enhancement rules and methodologies for AI-assisted development
Cursor rule Cursor
Purpose: Standardize service interfaces for consistency and usability.
Cursor rule Cursor
Core rulesync standards - unified AI assistant rules.
Cursor rule
Use MCP-backed memory tools to capture strategic outcomes.
Cursor rule
A collection of cognitive enhancement rules and methodologies for AI-assisted development.
Cursor rule
To guide AI assistants in reliably executing complex tasks by breaking them down into verifiable steps and using tools judiciously to reduce uncertainty. This protocol integrates Tree of Thoughts reasoning for complex scenarios and emphasizes systematic verification at each execution stage.
Cursor rule
Final safety guardrail preventing high-risk operations.
Cursor rule
A collection of cognitive enhancement rules and methodologies for AI-assisted development.
Cursor rule
A collection of cognitive enhancement rules and methodologies for AI-assisted development.
Cursor rule
IMMUNE SYSTEM → DISTRIBUTED SYSTEM.
Cursor rule
COMPRESSION PLAN: Input: Server logs (1M tokens, 50K lines) Strategy: hierarchicalsummary + patternextraction.
Cursor rule
A collection of cognitive enhancement rules and methodologies for AI-assisted development.
Cursor rule
Sparring partner examples - lazy loaded.
Cursor rule
Core sparring partner behaviors - optimized.
Cursor rule
Cursor rule "107-sparring-techniques" from hamzaamjad/cursor-rules, covering sparring techniques, socratic method, deliberate flaws, include fixable issues for discovery and competing solutions.
Cursor rule
To maintain optimal cognitive load distribution between human and AI, ensuring peak performance while preventing both cognitive overload and underutilization. Research shows that maintaining a Cognitive Load Theory (CLT) index between 0.45-0.62 maximizes creative output and decision quality, with AI handling 60-70% of…
Cursor rule
Chain of Code improves reasoning accuracy by generating and executing code for verification, calculation, and logical validation. This approach achieves 17.9% improvement on arithmetic tasks and 11% on commonsense reasoning by treating problems as executable programs rather than abstract reasoning tasks.
Cursor rule
Description: Investigating API performance degradation.
Cursor rule
Description: Incident response using OODA Loop.
Cursor rule
Description: Product development using integrated approach.
Cursor rule
A collection of cognitive enhancement rules and methodologies for AI-assisted development.
Cursor rule
Purpose: Turn data insights into clear, compelling narratives.
Cursor rule
Usage: reference @datascience-repro when kicking off an analysis or review.
Cursor rule
Purpose: Establish a robust, scalable, and maintainable analytics engineering workflow using dbt.
Cursor rule
Purpose: Ensure reliable and performant incremental loads in dbt models.