Individual skill
cursor-custom-prompts
Create effective custom prompts for Cursor AI using project rules, prompt engineering patterns, and reusable templates. Triggers on "cursor prompts", "prompt engineering cursor", "better cursor prompts", "cursor instructions", "cursor prompt templates".
skills/.curated/cursor-custom-prompts/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
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- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- cursor Declared skill tag
- cursor-custom Declared skill tag
- engineering Derived category
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SKILL.mdcore · 9,025 bytesreferences/.cursorrules-integration.mddoc · 695 bytesreferences/advanced-techniques.mddoc · 1,068 bytesreferences/best-practices.mddoc · 645 bytesreferences/domain-specific-prompts.mddoc · 982 bytesreferences/errors.mddoc · 561 bytesreferences/examples.mddoc · 525 bytesreferences/prompt-engineering-fundamentals.mddoc · 825 bytesreferences/prompt-templates.mddoc · 1,001 bytes
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# Cursor Custom Prompts
## Overview
Create reusable prompts that encode approved engineering practice without injecting secrets, bypassing repository controls, or replacing human review.
## Prerequisites
- A defined task class, source-of-truth repository rules, and a maintainer for prompt changes.
- A non-sensitive evaluation fixture and review path for any shared prompt.
## Instructions
1. State the scope, inputs, constraints, acceptance checks, and explicit non-goals.
2. Keep prompts free of credentials, customer data, and contradictory instructions; reference reviewed rules rather than duplicating them.