Build competitive compensation plans using market data, salary bands, equity, bonuses, geographic pay adjustments, and retention risk scoring.

Use this skill when a tax or transfer-pricing professional wants to draft or review an OECD TPG benchmarking memo for one intercompany transaction. Covers FA...

Composite scoring and efficiency frontier analysis for LLM evaluation — combines multiple quality dimensions (accuracy, latency, cost, consistency) into a si...

Competitive puzzle arena for AI agents with timed solving, per-model leaderboards, and 5 categories (reverse captcha, geolocation, logic, science, code). Use...

Analyze competitor GEO (Generative Engine Optimization) strategies by examining their content structure, Schema markup, llms.txt, and AI citation signals. Be...

Memory maintenance helper for any RAG/vector database. Includes save_memory() helper, monitor and defrag script templates, hot queue support, and configurabl...

Complete performance engineering system — profiling, optimization, load testing, capacity planning, and performance culture. Use when diagnosing slow applica...

SOTA Agent is a public ClawHub SOTA-campaign skill for CV and DS work. Use it when the user says "sota agent", "state of the art benchmark scouting", or want...

lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).

Indexed by skills.sh from dotnet/skills

Run A/B evaluation tests for any OpenClaw skill, script, hook, or cron job. Make sure to use this skill whenever the user mentions testing, benchmarking, com...

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 relia…

Define, run, and track tests for agent behavior. Test cases, assertions, regression tracking, and performance benchmarking. Zero external dependencies.

AI-powered agent evaluation and benchmarking assistant — design evaluation suites, run structured assessments (task completion rate, latency, safety, reasoni...

Tune AITER's CK GEMM and fused MoE kernels for specific model shapes on AMD GPUs. Covers shape discovery from inference logs, baseline benchmarking, kernel t...

Use when benchmarking similar product documentation and API documentation across Alibaba Cloud, AWS, Azure, GCP, Tencent Cloud, Volcano Engine, and Huawei Cl...

Compete on the Arena benchmarking platform. Handles matchmaking, solving, and submission. Use when: agent wants to compete, check ELO, or join a duel. Usage:...

Assist companies with designing, benchmarking, and managing benefits programs including 401(k), health insurance, PTO, HSA, and compliance across all states.

Dual-track competitive research: experience benchmarking (8 UX dimensions) + strategic diagnostics (SWOT/Five Forces/PESTLE), source-traceable HTML or Markdo...

Write the competitor-analysis section of research reports, strategy decks, and product/brand studies. Use when the user asks for 竞品分析、竞对拆解、对标分析、benchmarking、...

Decompose Return on Equity into component ratios to identify performance drivers. Use for financial analysis, performance benchmarking, and identifying impro...

Plan email campaigns with segmentation, A/B testing, and benchmarking. Use when designing campaigns, segmenting lists, benchmarking rates.

Performs a detailed energy audit of commercial buildings, benchmarking usage, identifying 10 prioritized ECMs with payback and ROI, and generating a retrofit...

Market research and competitive intelligence pack. Competitive analysis, market sizing, financial benchmarking, web research, report generation, and competit...

Full FlagRelease pipeline orchestrator. Runs the complete LLM deployment, verification, and benchmarking pipeline for multi-chip GPU backends. Executes: inst...

Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpret...

Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.

Evaluate PA performance through structured scoring, owner feedback analysis, and behavioral benchmarking. Use when: conducting a weekly/monthly PA performanc...

Run HTTP performance tests with latency and throughput measurement. Use when benchmarking web services. Requires curl.

A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and det process-viewer, c, administrator, benchmarking.

Set up and optimize RAG pipelines for large datasets (50K-500K rows) with document chunking, embedding benchmarking, vector indexing, and retrieval tuning.

reddi.tech fork of agent-evaluation. Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and produc...

Policy benchmarking runner for MCP security policies. Runs attack suites against protect-mcp policy packs, produces signed receipts and badges.

Measure execution time of commands. Use for performance benchmarking, script optimization, and timing analysis.

Build DCF models and run comparable analysis for company valuation. Use when modeling cash flows, benchmarking peers, projecting growth, or pitching.

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents...

Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.

Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).

Analyze YouTube thumbnails for visual hierarchy, color impact, text clarity, emotional appeal, and competitor benchmarking to optimize click-through rates.

Discover, compare, and curate trending Chinese podcasts or episodes from 中文播客榜. Use for hot or recent show discovery, creator benchmarking, curation lists, c...

Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.

Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).