Data
PromptBeginner5 minmarkdownQuality: 24
- **Dynamic query construction**: String concatenation used to build SQL
LDAP
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9,588 skills indexed with the new KISS metadata standard.
Showing 24 of 9,588Categories: Productivity, Cursor-rules, Data
Data
PromptBeginner5 minmarkdownQuality: 24
- Verify raw SQL queries use parameterized statements
not f-strings
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Data
PromptBeginner5 minmarkdownQuality: 24
- Classify changes by risk category (auth
data handling
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Data
PromptBeginner5 minmarkdownQuality: 24
- **Scan** staged git diffs for injection flaws including SQLi
command injection
0
Productivity
PromptBeginner5 minmarkdownQuality: 24
- Assign each task a stable ID (e.g.
TASK-1.1) and use checklist items in outputs.
0
Productivity
PromptBeginner5 minmarkdownQuality: 24
- Treat every requirement below as an explicit
trackable task.
0
Data
PromptBeginner5 minmarkdownQuality: 28
- **Over-caching without invalidation**: Adding caches without invalidation strategies
serving stale data and creating consistency bugs
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Data
PromptBeginner5 minmarkdownQuality: 28
- **Missing database indexes**: Full table scans on frequently queried columns
causing query times to grow linearly with data volume
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Data
PromptBeginner5 minmarkdownQuality: 28
- **N+1 query patterns**: Fetching related data in loops instead of using joins or batch queries
multiplying database round-trips linearly
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Data
PromptBeginner5 minmarkdownQuality: 24
### Database (Query Analyzers
Index Tuning)
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Data
PromptBeginner5 minmarkdownQuality: 24
- Deploy Application Performance Monitoring (Datadog
New Relic
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Productivity
PromptBeginner5 minmarkdownQuality: 24
- Run Lighthouse for automated audits covering LCP
FID
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Data
PromptBeginner5 minmarkdownQuality: 24
- Use reproducible benchmarks with consistent hardware
data volume
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Productivity
PromptBeginner5 minmarkdownQuality: 24
- **Async**: Promise.all() for parallel operations
worker threads for CPU-bound tasks
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Data
PromptBeginner5 minmarkdownQuality: 24
- **Data Structures**: Map vs Object for lookups
Set vs Array for uniqueness
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Data
PromptBeginner5 minmarkdownQuality: 28
- Apply specific optimizations based on profiling data: select optimal data structures
implement caching
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Data
PromptBeginner5 minmarkdownQuality: 24
- Analyze database query patterns for N+1 problems
unnecessary joins
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Data
PromptBeginner5 minmarkdownQuality: 24
- Record reproducible benchmark conditions (hardware
data volume
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Data
PromptBeginner5 minmarkdownQuality: 24
- Collect database query execution plans to identify slow operations
missing indexes
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Data
PromptBeginner5 minmarkdownQuality: 24
- **Tune database query performance** by analyzing execution plans
eliminating N+1 problems
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Productivity
PromptBeginner5 minmarkdownQuality: 24
- Assign each task a stable ID (e.g.
TASK-1.1) and use checklist items in outputs.
0
Data
PromptBeginner5 minmarkdownQuality: 28
You are a senior performance optimization expert and specialist in systematic analysis and measurable improvement of algorithm efficiency
database queries
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Productivity
PromptBeginner5 minmarkdownQuality: 24
- Treat every requirement below as an explicit
trackable task.
0
Data
PromptBeginner5 minmarkdownQuality: 24
- Identify unnecessary copies of large data structures (pandas DataFrames
dicts)
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