Cursor rule

1---
2description: AI Query Efficiency & Auto-Optimization
3globs: *.mdc
4---
5# AI Query Efficiency & Auto-Optimization
6 
7Ensures Cursor analyzes AI query efficiency, detects repeated requests, and automatically updates relevant rules to improve response quality and reduce redundancy.
8 
9<rule>
10name: ai_query_efficiency_optimization
11description: Analyze AI query efficiency, optimize rules, and prevent repeated requests.
12filters:
13  # Match AI query interactions in supported files
14  - type: file_extension
15    pattern: "\\.(md|mdc|txt|json|py|js|ts|php|yaml|yml|cursorrules)$"
16  # Match AI communication patterns indicating inefficiency or repetition
17  - type: content
18    pattern: "(?i)(retry|again|didn't work|not what I expected|try another way|improve|fix this|optimize|rewrite|regenerate)"
19 
20actions:
21  - type: analyze
22    conditions:
23      - pattern: "(?i)(retry|again|fix this|not what I expected|didn't work|rewrite|regenerate)"
24        message: "Detected inefficiencies or repeated requests. Initiating efficiency analysis..."
25    execute: |
26      - **Identify inefficiencies** in AI responses by comparing previous queries and results.
27      - **Suggest improvements** in query structure or Cursor usage based on analysis:
28        - Use more specific or detailed prompts.
29        - Implement structured queries for complex tasks.
30        - Provide feedback on past responses for better contextual understanding.
31        - Break down complex tasks into smaller, more manageable steps.
32        - Use specific technical terminology for clearer communication.
33      - **Automatically update** relevant Cursor rules:
34        - Enhance pattern recognition for similar future queries.
35        - Adjust rule priorities or conditions to prevent repeat inefficiencies.
36        - Update rule suggestions to guide users towards more effective interactions.
37        - Create new rules for frequently encountered patterns.
38 
39  - type: suggest
40    message: |
41      ## Query Optimization Recommendations
42 
43      I notice you're making multiple requests for similar tasks. Here's how to optimize your AI interactions:
44 
45      ### 1. Refine Your Prompts
46      - **Be more specific:** Include technical details, file paths, and exact requirements
47      - **Use structured formats:** For complex requests, use bullet points or numbered lists
48      - **Include context:** Mention relevant technologies, frameworks, or standards
49      - **Set clear expectations:** Specify the format and level of detail you need
50 
51      ### 2. Break Down Complex Tasks
52      - Split large tasks into smaller, focused requests
53      - Ask for step-by-step approaches for complex problems
54      - Request specific examples for unclear concepts
55 
56      ### 3. Provide Feedback
57      - Tell the AI what worked and what didn't in previous responses
58      - Clarify misunderstandings explicitly
59      - Highlight successful parts of previous responses
60 
61      ### 4. Use Technical Terminology
62      - Use precise technical terms for your domain (Drupal, Lagoon, etc.)
63      - Reference specific functions, methods, or patterns
64      - Mention relevant standards or best practices
65 
66      ### 5. Leverage Cursor Features
67      - Use file references when discussing specific code
68      - Reference line numbers for targeted changes
69      - Utilize code blocks for examples
70 
71      The system will now optimize rules based on this interaction pattern to improve future responses.
72 
73  - type: auto_update
74    target: ".cursor/rules/ai-optimization.mdc"
75    conditions:
76      - pattern: "(?i)(retry|again|fix this|not what I expected|not what I meant|didn't work|rewrite|regenerate)"
77    message: "Updating AI efficiency rules based on detected inefficiencies or repeated queries."
78 
79  - type: log
80    message: "AI Query Efficiency Analysis: [{{query_count}} queries in {{time_period}} detected inefficiency.]"
81    conditions:
82      - pattern: "(?i)(retry|again|fix this|not what I expected|didn't work|rewrite|regenerate)"
83 
84examples:
85  - input: |
86      "This Drupal module is not working, let's try again."
87      "That didn't work, let's refine the approach."
88      "Please rewrite this code to be more efficient."
89    output: |
90      Cursor detects inefficiency in queries and suggests:
91      
92      "I notice you're making multiple attempts. To get better results:
93      1. Specify which part of the module isn't working
94      2. Include any error messages you're seeing
95      3. Mention the Drupal version and relevant modules
96      4. Describe what you've already tried"
97 
98  - input: |
99      "Generate a Lagoon configuration file."
100      "This doesn't look right, regenerate it."
101      "Try again with better practices."
102    output: |
103      Cursor detects repetition and suggests:
104      
105      "For better Lagoon configuration results:
106      1. Specify which services you need (nginx, php, mariadb, etc.)
107      2. Mention your project type (Drupal, WordPress, etc.)
108      3. Include any specific environment requirements
109      4. Reference any existing configuration you want to maintain"
110 
111metadata:
112  priority: critical
113  version: 1.2
114</rule>
115