application-performance-performance-optimization
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill application-performance-performance-optimization71
Does it follow best practices?
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npx tessl skill review --optimize ./path/to/skillAgent success when using this skill
Validation for skill structure
Evaluation results
100%
44%Performance Optimization Workflow Design
Phased optimization workflow orchestration
Performance-engineer profiling role
22%
100%
Flame graphs and heap dumps
44%
100%
APM tooling for profiling
100%
100%
Observability-engineer role
100%
100%
OpenTelemetry for tracing
100%
100%
Core Web Vitals in UX step
100%
100%
Database-optimizer role
22%
100%
Redis/Memcached caching
50%
100%
Backend-architect role
22%
100%
Circuit breakers and bulkheads
0%
100%
Phased ordering
66%
100%
Five distinct phases
71%
100%
Without context: $0.2594 · 1m 25s · 9 turns · 10 in / 4,460 out tokens
With context: $0.4000 · 1m 58s · 17 turns · 64 in / 5,692 out tokens
92%
28%Load Testing and Automated Performance Gates
Load testing and CI/CD performance regression prevention
k6/Gatling/Artillery for load tests
100%
100%
Three scenario types
100%
100%
Production-traffic-based scenarios
100%
100%
Performance-engineer role for load testing
0%
100%
Test-automator role for regression
0%
100%
GitHub Actions CI/CD integration
100%
100%
Lighthouse CI for frontend
0%
100%
Performance budgets
100%
100%
Automatic rollback triggers
100%
100%
2x peak load throughput target
0%
0%
Production load test safety
100%
100%
Without context: $0.3565 · 1m 55s · 15 turns · 64 in / 5,760 out tokens
With context: $0.8167 · 4m 3s · 26 turns · 72 in / 12,673 out tokens
76%
39%Production Reliability Monitoring for a Payment Microservice
Production monitoring with SLIs, SLOs, and error budgets
Observability-engineer role
0%
100%
DataDog/New Relic/Dynatrace APM
100%
100%
OpenTelemetry for distributed tracing
100%
100%
Grafana dashboards
0%
62%
PagerDuty for alerting
100%
100%
SLI/SLO definitions with error budgets
40%
100%
Response time targets
0%
22%
Core Web Vitals targets
0%
0%
100% critical path coverage
28%
14%
Performance-engineer for continuous optimization
0%
100%
A/B testing for performance
0%
100%
Capacity planning models
42%
100%
Without context: $0.4505 · 2m 56s · 14 turns · 14 in / 8,556 out tokens
With context: $0.7776 · 3m 39s · 28 turns · 138 in / 11,904 out tokens
- Evaluated
- Agent
- Claude Code
Table of Contents
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