golang-testing
affaan-mGo testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
llm-evaluation
wshobsonImplement 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
davila7Testing 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
davila7Evaluates 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.
pytdc
davila7Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
deepchem
davila7Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
evaluating-code-models
davila7Evaluates 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
davila7Evaluates 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
davila7Quantum 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).
pymoo
davila7Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
llm-evaluation
sickn33Implement 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
ruvnetAchieve 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.
deepchem
K-Dense-AIMolecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
pymoo
K-Dense-AIMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
pytdc
K-Dense-AITherapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
torchdrug
K-Dense-AIPyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
benchmark-kernel
flashinfer-aiGuide for benchmarking FlashInfer kernels with CUPTI timing
social-media-analyzer
alirezarezvaniSocial 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.
bench
opendataloader-projectRun benchmark and analyze PDF parsing performance
aws-security-scanner
openclawScan AWS accounts for security misconfigurations and vulnerabilities. Use when user asks to audit AWS security, check for misconfigurations, find exposed S3 buckets, review IAM policies, check security groups, audit CloudTrail, or run AWS security checks. Covers S3, IAM, EC2, RDS, CloudTrail, and common CIS benchmarks.
benchmark-suite-creator
Benchmark Suite Creator - Auto-activating skill for Performance Testing. Triggers on: benchmark suite creator, benchmark suite creator Part of the Performance Testing skill category.
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".
windsurf-load-scale
Implement Windsurf load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Windsurf integrations. Trigger with phrases like "windsurf load test", "windsurf scale", "windsurf performance test", "windsurf capacity", "windsurf k6", "windsurf benchmark".
exa-load-scale
Implement Exa load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Exa integrations. Trigger with phrases like "exa load test", "exa scale", "exa performance test", "exa capacity", "exa k6", "exa benchmark".
load-testing-apis
jeremylongshoreExecute comprehensive load and stress testing to validate API performance and scalability. Use when validating API performance under load. Trigger with phrases like "load test the API", "stress test API", or "benchmark API performance".
replit-load-scale
Implement Replit load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Replit integrations. Trigger with phrases like "replit load test", "replit scale", "replit performance test", "replit capacity", "replit k6", "replit benchmark".
perplexity-load-scale
Implement Perplexity load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Perplexity integrations. Trigger with phrases like "perplexity load test", "perplexity scale", "perplexity performance test", "perplexity capacity", "perplexity k6", "perplexity benchmark".
firecrawl-load-scale
jeremylongshoreImplement FireCrawl load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for FireCrawl integrations. Trigger with phrases like "firecrawl load test", "firecrawl scale", "firecrawl performance test", "firecrawl capacity", "firecrawl k6", "firecrawl benchmark".
security-benchmark-runner
jeremylongshoreManage security benchmark runner operations. Auto-activating skill for Security Advanced. Triggers on: security benchmark runner, security benchmark runner Part of the Security Advanced skill category. Use when working with security benchmark runner functionality. Trigger with phrases like "security benchmark runner", "security runner", "security".
clay-load-scale
Implement Clay load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Clay integrations. Trigger with phrases like "clay load test", "clay scale", "clay performance test", "clay capacity", "clay k6", "clay benchmark".
supabase-load-scale
Implement Supabase load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Supabase integrations. Trigger with phrases like "supabase load test", "supabase scale", "supabase performance test", "supabase capacity", "supabase k6", "supabase benchmark".
vercel-load-scale
Implement Vercel load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Vercel integrations. Trigger with phrases like "vercel load test", "vercel scale", "vercel performance test", "vercel capacity", "vercel k6", "vercel benchmark".
retellai-load-scale
Implement Retell AI load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Retell AI integrations. Trigger with phrases like "retellai load test", "retellai scale", "retellai performance test", "retellai capacity", "retellai k6", "retellai benchmark".
tbench
coderTerminal-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.
performance-testing
DaveSkenderBenchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.
bulk-rna-seq-batch-correction-with-combat
StarlitnightlyUse omicverse's pyComBat wrapper to remove batch effects from merged bulk RNA-seq or microarray cohorts, export corrected matrices, and benchmark pre/post correction visualizations.
m10-performance
actionbookCRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster
knowledge-worker-salaries
danielmiesslerComprehensive 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.
analyzing-marketing-campaign
https-deeplearning-aiAnalyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
finance-metrics-quickref
deanpetersFast lookup table for 32+ SaaS finance metrics with formulas, benchmarks, and when to use each. Includes red flags and decision frameworks.
skillsbench
benchflow-aiSkillsBench contribution workflow. Use when: (1) Creating benchmark tasks, (2) Understanding repo structure, (3) Preparing PRs for task submission.
axiom-sqlitedata-migration
Use when migrating from SwiftData to SQLiteData — decision guide, pattern equivalents, code examples, CloudKit sharing (SwiftData can't), performance benchmarks, gradual migration strategy
perf-benchmarker
agent-shUse when running performance benchmarks, establishing baselines, or validating regressions with sequential runs. Enforces 60s minimum runs (30s only for binary search) and no parallel benchmarks.
defeatbeta-analyst
defeat-betaComprehensive 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.
adding-benchmarks
AztecProtocolAdd new benchmarks to the CI pipeline. Guides through creating benchmark JSON files, integrating with bootstrap.sh, and ensuring proper CI upload via ci3.yml workflow.
giab-benchmark-validator
a5c-aiGenome in a Bottle benchmark validation skill for pipeline accuracy assessment
cutlass-triton
a5c-aiHigh-performance kernel template libraries and DSLs. Generate CUTLASS GEMM configurations, implement Triton kernel definitions, configure epilogue operations, tune tile sizes and warp arrangements, and benchmark against cuBLAS.