القائمة
Plan infrastructure capacity for expected load. Use when sizing systems, planning for growth, or analyzing resource requirements. Covers load estimation and resource sizing.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Render a self-contained HTML "tab-bar" presentation from a markdown PRD, Spec, ADR, or implementation Plan. Use when the user asks to "make a presentation", "render slides", "turn this prd/spec/adr/plan into a deck", "present this doc", "export to html", or "show this on screen". INPUT is ONE markdown file (a PRD, Spec, ADR, or Plan). OUTPUT is ONE .html slideshow that opens directly in a browser. Render only — do not invent content.
Design scalable, reliable software systems. Use when planning new systems, major features, or architecture changes. Covers C4 diagrams, trade-off analysis, and system decomposition.
Create execution roadmaps for projects. Use when planning multi-phase projects or feature rollouts. Covers phased delivery and milestone planning.
Create Product Requirements Documents. Use when defining new features, projects, or initiatives. Covers user stories, acceptance criteria, and scope definition.
Apply cloud-native architecture patterns. Use when designing for scalability, resilience, or cloud deployment. Covers microservices, containers, and distributed systems.
Apply Domain-Driven Design patterns. Use when modeling complex business domains, defining bounded contexts, or designing aggregates. Covers entities, value objects, and repositories.
| name | capacity-planning |
| description | Plan infrastructure capacity for expected load. Use when sizing systems, planning for growth, or analyzing resource requirements. Covers load estimation and resource sizing. |
| allowed-tools | Read, Bash, Glob, Grep |
L = λ × W
L = Average number of items in system
λ = Average arrival rate
W = Average time in system
Given:
- 1000 requests/second
- 100ms average response time
Required concurrent connections:
L = 1000 × 0.1 = 100 concurrent connections
connections = (requests_per_second × avg_query_time) × 1.5
memory = (concurrent_users × memory_per_user) + base_overhead
cores = (peak_rps × cpu_time_per_request) / target_utilization