llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
evaluating-llms-harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
nemo-evaluator-sdk
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
cirq
Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
V3 Performance Optimization
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
benchmark-kernel
Guide for benchmarking FlashInfer kernels with CUPTI timing
social-media-analyzer
Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.
running-performance-tests
Execute load testing, stress testing, and performance benchmarking. Use when performing specialized testing. Trigger with phrases like "run load tests", "test performance", or "benchmark the system".
tbench
Terminal-Bench integration for Mux agent benchmarking and failure analysis
criterium
Use this skill when users ask about benchmarking Clojure code, measuring performance, profiling execution time, or using the criterium library. Covers the 0.5.x API including bench macro, bench plans, viewers, domain analysis, and argument generation.
knowledge-worker-salaries
Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.
defeatbeta-analyst
Comprehensive financial analysis using 60+ data endpoints. Analyze company fundamentals, financial statements, valuation metrics, profitability ratios, growth trends, and industry comparisons. Use for: (1) fundamental analysis and DCF modeling, (2) financial statement analysis, (3) valuation and ratio analysis, (4) growth and profitability assessment, (5) industry benchmarking, or any deep financial research tasks.
benchmarking-analyst
Benchmarking analysis skill for performance comparison and best practice identification.
reputation-intelligence
Reputation measurement and benchmarking platform integration
transportation-spend-analyzer
Freight spend analysis and benchmarking skill for cost optimization and carrier negotiation support
performance-benchmark-suite
SDK performance benchmarking and regression detection
gpu-benchmarking
Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD, and profile power/thermal characteristics.
transfer-pricing-analyzer
Intercompany transfer pricing analysis skill with benchmarking and documentation generation
energy-auditor
Process energy audit skill for consumption analysis, benchmarking, and efficiency improvement identification
comp-benchmarking
Analyze market compensation data and establish competitive pay structures
network-testing
Comprehensive network testing, benchmarking, and performance validation skill
logistics-kpi-tracker
Comprehensive logistics performance measurement skill with KPI tracking, benchmarking, and improvement recommendations
rb-benchmarker
Randomized benchmarking skill for gate fidelity characterization
evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
evaluating-llms-harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
go-test-expert
Expert in Go testing patterns, table-driven tests, httptest, benchmarking, and fuzzing. Activates for "test", "fail", "benchmark", "debug", "fuzz".
benchmarking
Benchmarking and competitive analysis techniques. Compares performance, processes, and practices against industry standards, competitors, and best-in-class organizations.
V3 Performance Optimization
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
performance-optimization
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.
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
financial-analysis
Comprehensive financial analysis workflow covering ratio analysis, trend analysis, benchmarking, and variance analysis. Delivers documented, audit-ready insights.
profiling-optimization
Profile application performance, identify bottlenecks, and optimize hot paths using CPU profiling, flame graphs, and benchmarking. Use when investigating performance issues or optimizing critical code paths.
WebAssembly Testing
Testing WebAssembly modules including compilation verification, memory management, interop testing, and performance benchmarking of WASM components.
optimization-phase
Validates production readiness through performance benchmarking, accessibility audits, security reviews, and code quality checks. Use after implementation phase completes, before deployment, or when conducting quality gates for features. (project)
Historical Cost Analyzer
Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.
performance-benchmark-specialist
Performance benchmarking expertise for shell tools, covering benchmark design, statistical analysis (min/max/mean/median/stddev), performance targets (<100ms, >90% hit rate), workspace generation, and comprehensive reporting
llm_evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
performance-monitor
Expert in observing, benchmarking, and optimizing AI agents. Specializes in token usage tracking, latency analysis, and quality evaluation metrics. Use when optimizing agent costs, measuring performance, or implementing evals. Triggers include "agent performance", "token usage", "latency optimization", "eval", "agent metrics", "cost optimization", "agent benchmarking".
competitive-analyst
Expert competitive analyst specializing in competitor intelligence, strategic analysis, and market positioning. Masters competitive benchmarking, SWOT analysis, and strategic recommendations with focus on creating sustainable competitive advantages.
optimizing-r
R performance profiling, benchmarking, and optimization strategies. Use this skill when code is running slowly, comparing alternative implementations, deciding between dplyr/data.table/base R, or implementing parallel processing. Covers profvis and bench usage, performance workflow, parallel processing with in_parallel(), data backend selection, modern purrr patterns (list_rbind, walk), and common performance anti-patterns to avoid.
Performance Analysis and Optimization
CPU profiling, benchmarking, and memory analysis for Rust applications. Use when code is slow, memory usage is high, or optimization is needed.
Performance Thinker
Performance optimization mindset - knowing when to optimize, how to measure, where bottlenecks hide, and when "fast enough" is the right answer. Use when "slow, performance, optimize, profiling, benchmark, latency, throughput, cache, n+1, bottleneck, memory leak, too slow, speed up, response time, performance, optimization, profiling, caching, latency, throughput, big-o, benchmarking" are mentioned.
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks. Use when "agent testing, agent evaluation, benchmark agents, agent reliability, test agent, testing, evaluation, benchmark, agents, reliability, quality" are mentioned.
eval-recipes-runner
Run Microsoft's eval-recipes benchmarks to validate amplihack improvements against baseline agents. Auto-activates when testing improvements, running evals, or benchmarking changes.
model-evaluation-benchmark
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for model benchmarking, comparison evaluation, or performance testing between AI models.