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sre-agent-isucon13
sre-agent-isucon13 contiene 18 skills recopiladas de openjny, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
MCP tool reference — exec, benchmark_start, benchmark_status, note_write, etc. Use when: executing commands on VMs, running benchmarks, or recording findings
ISUCON13 contest manual — server topology, service management, benchmark execution, and rules. Use when: checking environment setup, running benchmarks, or understanding contest constraints
ISUPipe application manual — features, terms, constraints, and API specs. Use when: understanding the app domain, checking API behavior or MUST/MAY requirements
General strategy for identifying and adding missing database indexes in ISUCON web applications
General techniques for optimizing user icon/avatar image serving in ISUCON web applications
General techniques for identifying and fixing N+1 query problems in ISUCON web applications
Install and use alp (Access Log Profiler) to identify slow nginx endpoints and analyze request patterns
Tune Go database/sql connection pool settings for optimal MySQL performance under ISUCON load
Implement application-level in-memory caching in Go using sync.Map for frequently accessed data that rarely changes
Optimize PowerDNS performance for ISUCON competitions where DNS resolution is a component
Common ISUCON scoring patterns and strategies to achieve score jumps based on historical competition data
Tune MySQL InnoDB buffer pool and query settings for ISUCON workloads
Tune nginx worker processes, connection handling, keepalive, and logging for ISUCON workloads
Enable MySQL slow query log and use pt-query-digest to identify the most expensive database queries
Emergency rollback procedures when changes break the ISUPIPE application or benchmark fails
First 30 minutes strategy checklist for ISUCON competitions — what to do immediately after the contest starts
Configure nginx as a load balancer distributing traffic across multiple Go app workers
Distribute ISUPIPE components across 3 contest VMs for optimal resource utilization — DB on vm1, App workers on vm2/vm3