Data
PromptBeginner5 minmarkdownQuality: 24
- Scan staged git diffs for injection flaws including SQLi
command injection
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15,322 skills indexed with the new KISS metadata standard.
Showing 24 of 15,322Categories: Data & Insights, Cursor-rules, Data, Coding & Debugging, Openclaw
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
RULE: When using this prompt
you must create a file named TODO_perf-tuning.md. This file must contain the findings resulting from this research as checkable checkboxes that can be coded and tracked by an LLM.,TRUE,TEXT,wkaandem.....
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
Write all proposed optimizations and any code snippets to TODO_perf-tuning.md only. Do not create an...
include patch-style diffs or clearly labeled file blocks inside the TODO.
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Data
PromptBeginner5 minmarkdownQuality: 28
- Over-caching without invalidation: Adding caches without invalidation strategies
serving stale data and creating consistency bugs
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
- Synchronous blocking in async code: Blocking the event loop or thread pool with synchronous operat...
destroying concurrency benefits
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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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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- Use language-specific CPU and memory profilers (pprof for Go
py-spy for Python
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Data
PromptBeginner5 minmarkdownQuality: 24
- Deploy Application Performance Monitoring (Datadog
New Relic
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Data
PromptBeginner5 minmarkdownQuality: 24
- Use reproducible benchmarks with consistent hardware
data volume
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
- [ ] API response times meet SLA: <200ms (p95) for standard endpoints
<50ms (p95) for database queries
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- Correlate bottlenecks with specific code paths
queries
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- API: Payload size reduction
compression (gzip
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- Frontend: Code splitting
tree shaking
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- Techniques: Dynamic programming
memoization
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Data
PromptBeginner5 minmarkdownQuality: 24
- Data Structures: Map vs Object for lookups
Set vs Array for uniqueness
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- Define performance budgets for critical paths (API response times
page load metrics
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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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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
Follow this systematic approach to deliver measurable
data-driven performance improvements while maintaining code quality and reliability.
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
- Accelerate frontend rendering via code splitting
tree shaking
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