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Found 117 Skills
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
Score each creator on a completed campaign across consistency, content quality, engagement rate, and brand alignment, then produce a ranked retention list for future campaigns. This skill should be used when grading creators after a campaign ends, evaluating influencer performance post-campaign, ranking creators by campaign performance, building a retention list of top creators, deciding which creators to rebook for the next campaign, scoring influencer deliverables after a launch, comparing creator performance across a campaign roster, auditing which creators delivered the most value, or tiering creators into re-engage versus one-and-done lists. For calculating engagement rates and benchmarking them by tier, see engagement-rate-calculator-benchmarker. For scoring niche fit before a campaign, see niche-fit-scorer. For building the full campaign report with ROI narrative, see campaign-roi-calculator-narrative-builder.
Estimate fair market rates for creator partnerships based on platform, follower count, engagement rate, niche, and deliverable type. This skill should be used when estimating influencer rates, calculating creator pricing, building a rate card for a campaign, checking if a creator's rate is fair, comparing influencer costs across platforms, budgeting for a creator campaign, evaluating a creator's rate card, figuring out how much to pay an influencer, benchmarking creator rates against market data, or assessing whether a creator is overcharging. For negotiating rates after estimation, see rate-negotiation-playbook. For full creator vetting beyond pricing, see creator-vetting-scorecard.
Terminal-Bench integration for Mux agent benchmarking and failure analysis
Performance optimization expert covering profiling, benchmarking, memory allocation, SIMD, cache optimization, false sharing, lock contention, and NUMA-aware programming.
Generate the competitive analysis section with competitor profiles, SWOT analysis, competitive matrix, differentiation strategy, market share positioning, and sustainable competitive advantage (moat). Proves the business can win against alternatives. Use when building or reviewing competitive analysis sections, benchmarking against competitors, or defining market positioning. Incorporates Farris's competitive metrics, guerrilla positioning strategy, value-based differentiation frameworks, Teece's business model vs strategy distinction (business model = architecture of value creation and capture; strategy = how the model is made difficult to imitate), Kaza's four differentiation types (aesthetic experience, social experience, boundary interactions, purposeful experiences), Ohmae's 3C Strategic Triangle and Key Factors for Success, and the Portable MBA onstage/backstage model with Value Net complementors framework.
CRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster, 性能优化, 基准测试
Jmeter Test Plan Creator - Auto-activating skill for Performance Testing. Triggers on: jmeter test plan creator, jmeter test plan creator Part of the Performance Testing skill category.
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Create an AI Evals Pack (eval PRD, test set, rubric, judge plan, results + iteration loop). Use for LLM evaluation, benchmarks, rubrics, error analysis/open coding, and ship/no-ship quality gates for AI features.
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
Write Foundry-based tests and scripts. Trigger phrases - foundry testing, write test, fuzz test, fork test, invariant test, deploy script, gas benchmark, coverage, or when working in tests/ or scripts/ directories.