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Found 1,578 Skills
Diagnose ClickHouse SELECT query performance, analyze query patterns, identify slow queries, and find optimization opportunities. Use for query latency and timeout issues.
Profile-guided optimisation skill for C/C++ with GCC and Clang. Use when squeezing maximum runtime performance after standard optimisation plateaus, implementing two-stage PGO builds, collecting profile data, or applying BOLT for post-link optimisation. Activates on queries about PGO, profile-guided optimization, fprofile-generate, fprofile-use, instrumented builds, or BOLT.
CPU cache optimization skill for C/C++ and Rust. Use when diagnosing cache misses, improving data layout for cache efficiency, using perf stat cache counters, understanding false sharing, prefetching, or structuring AoS vs SoA data layouts. Activates on queries about cache misses, cache lines, false sharing, perf cache counters, data layout optimization, prefetch, AoS vs SoA, or L1/L2/L3 cache performance.
When the user wants to create, optimize, or audit campaign landing pages for paid ads or other traffic. Also use when the user mentions "landing page," "PPC landing page," "SEM landing page," "conversion page," "campaign page," "lead capture page," "landing page optimization," "LP conversion," "single-page funnel," or "squeeze page."
SEO strategy and optimization - keyword research, on-page SEO, technical audits, content optimization, and rank tracking
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.
Debugging optimized builds skill for diagnosing issues in release code. Use when debugging RelWithDebInfo builds, using -Og for debuggable optimization, working with split-DWARF, applying GDB scheduler-locking, reading inlined frames, or understanding "value optimized out" messages. Activates on queries about debugging optimized code, RelWithDebInfo, -Og, inlined functions in GDB, value optimized out, GDB with -O2, or debugging release builds.
Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.
Implement Syncfusion React TreeView component for hierarchical data display with node selection, drag-drop reordering, inline editing, and custom templating. Use this when building organizational charts, file systems, navigation trees, or any multi-level hierarchical interface. Covers selection modes, checkboxes, filtering, sorting, keyboard navigation, accessibility, and performance optimization with stateless templates.
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.
Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.