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Found 181 Skills
Guides benchmarking and comparing explicit multi-statement transactions versus single-statement CTE transactions in CockroachDB, with fair test methodology, contention analysis, and performance interpretation. Use when comparing transaction formulations, benchmarking CockroachDB workloads under contention, investigating retry pressure, or deciding whether to rewrite multi-step application flows into single SQL statements.
Benchmarking and competitive analysis techniques. Compares performance, processes, and practices against industry standards, competitors, and best-in-class organizations.
Use this skill when writing or running performance benchmarks for Jazz packages. Covers cronometro setup, file conventions, gotchas with worker threads, and how to compare implementations.
Use this skill to benchmark shell commands reliably with warmup runs, statistical summaries, and exportable artifacts using hyperfine.
Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks. Also activate when microbenchmarking .NET code would be useful and BenchmarkDotNet is the likely tool. Consider activating when answering a .NET performance question requires measurement and BenchmarkDotNet may be needed. Covers microbenchmark design, BDN configuration and project setup, how to run BDN microbenchmarks efficiently and effectively, and using BDN for side-by-side performance comparisons. Do NOT use for profiling/tracing .NET code (dotnet-trace, PerfView), production telemetry, or load/stress testing (Crank, k6).
Benchmarks and compares Instagram influencer engagement rates using apidojo's Instagram scraper on Apify. Triggers when the user asks to: compare engagement rates of Instagram accounts, check if an influencer has real or fake followers, analyze Instagram account performance metrics, benchmark a creator against competitors on Instagram, find Instagram accounts with unusually high or low engagement, verify influencer stats before a paid partnership, or audit an Instagram account's post performance. Returns follower count, average likes, average comments, engagement rate, and recent post performance. Ideal for influencer agencies, brand marketing teams, and campaign performance analysts.
Benchmark compensation against market data. Trigger with "what should we pay", "comp benchmark", "market rate for", "salary range for", "is this offer competitive", or when the user needs help evaluating or setting compensation levels.
Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics. Use when running physicalai benchmark, editing configs under library/configs/benchmark, adding or changing a Benchmark class in physicalai.benchmark, tuning rollout/episode/env settings, recording rollout videos, or interpreting results.json / results.csv.
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while golang-performance provides the optimization patterns.
Use this skill when benchmarking compensation, designing equity plans, building leveling frameworks, or structuring total rewards. Triggers on compensation benchmarking, equity grants, stock options, leveling, pay bands, total rewards, salary ranges, and any task requiring compensation strategy or structure design.
Advanced test optimization with cargo-nextest, property testing, and performance benchmarking. Use when optimizing test execution speed, implementing property-based tests, or analyzing test performance.
Calculate engagement rates for creator posts and benchmark them against platform and tier averages. This skill should be used when calculating an influencer's engagement rate, benchmarking creator engagement against industry averages, evaluating whether a creator's engagement is above or below average for their tier, comparing engagement rates across platforms, checking if engagement rates suggest fake followers, auditing a creator's engagement quality before a partnership, analyzing engagement by content type (reels, stories, feed posts, TikTok videos), or assessing engagement trends across a creator's recent posts. For estimating fair market rates based on engagement, see creator-rate-estimator. For full creator vetting beyond engagement, see creator-vetting-scorecard. For scoring niche fit, see niche-fit-scorer.