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Found 300 Skills
Use this skill when diagnosing, configuring, or monitoring NICs for AF_XDP / XDP workloads. Covers driver detection, hardware queue configuration, offload control (GSO/GRO/TSO/LRO), VLAN offloads, Flow Director (FDIR) rules, CPU core pinning and NUMA awareness, hardware queue and drop monitoring, BPF program inspection with bpftool, kernel tracing via ftrace, perf profiling and flamegraphs, IRQ-to-queue-to-core mapping, and a quick diagnostic checklist.
Research Instagram accounts for creator discovery, competitor profiling, and account health snapshots using hosted profile and post collection.
Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'.
Comprehensive ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiling for drug candidates. Integrates ADMET-AI predictions, SwissADME drug-likeness, PubChemTox experimental toxicity, ChEMBL clinical data, Lipinski rule-of-five, and CYP interaction data. Use for drug-likeness assessment, BBB penetration, bioavailability, hepatotoxicity prediction, ADME/PK profiling, or screening compound libraries before lab testing.
Automatically discover debugging and profiling skills when working with GDB, LLDB, breakpoints, profiling, stack traces, memory leaks, core dumps, or performance profiling. Activates for debugging development tasks.
Apply systematic performance optimization techniques when writing or reviewing code. Use when optimizing hot paths, reducing latency, improving throughput, fixing performance regressions, or when the user mentions performance, optimization, speed, latency, throughput, profiling, or benchmarking.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Expert knowledge of Godot performance optimization, profiling, bottleneck identification, and optimization techniques. Use when helping improve game performance or analyzing performance issues.
EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
Conducts comprehensive Magento 2 performance analysis and optimization. Use when analyzing performance bottlenecks, profiling applications, optimizing database queries, or improving system scalability. Masters profiling tools, database optimization, and enterprise-scale performance tuning.
Systematically investigates, diagnoses, and resolves complex Magento 2 technical problems. Use when debugging issues, investigating bugs, analyzing performance problems, resolving errors, or troubleshooting system failures. Masters log analysis, performance profiling, and root cause analysis.
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.