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Found 193 Skills
Use this skill when load testing services, benchmarking API performance, planning capacity, or identifying bottlenecks under stress. Triggers on k6, Artillery, JMeter, load testing, stress testing, soak testing, spike testing, performance benchmarks, throughput testing, and any task requiring load or performance testing.
Interactive debugger for Deno/TypeScript applications using the V8 Inspector Protocol. This skill should be used when investigating issues in Deno applications, including memory leaks, performance bottlenecks, race conditions, crashes, or any runtime behavior that requires step-by-step debugging, heap analysis, or CPU profiling. Provides CDP client tools, heap/CPU analyzers, and investigation tracking.
Diagnose and improve marketplace liquidity (match rate/fill rate, time-to-match, reliability) by segment. Produces a Marketplace Liquidity Management Pack: liquidity definition + metric tree, fragmentation map, segment scorecard, supply/demand bottleneck diagnosis, experiment backlog, measurement plan, and operating cadence. Use for Growth teams running two-sided marketplaces.
React performance optimization specialist. Expert in DevTools Profiler, memoization, Core Web Vitals, bundle optimization, and virtualization. Use this skill for performance bottlenecks, slow renders, large bundles, or memory issues in React applications.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
Application-level React performance optimization covering React Compiler mastery, bundle optimization, rendering performance, data fetching, Core Web Vitals, state subscriptions, profiling, and memory management. Use when optimizing React app performance, analyzing bundle size, improving Core Web Vitals, or profiling render bottlenecks. Complements the react skill (API-level patterns) with holistic performance strategies. Does NOT cover React 19 API usage (see react skill) or Next.js-specific features (see nextjs-16-app-router skill).
Transform one piece of long-form content into 10 platform-ready assets using AI tools. Solves the content creation bottleneck for resource-constrained East African marketing teams. Invoke when a client needs more content output from their existing content investment.
Takes a manual business workflow description and designs the automated version. Maps current steps, handoffs, decision points, and bottlenecks. Designs automated flow with triggers, conditions, actions, and error handling. Outputs workflow-automation.md with before/after Mermaid diagrams, tool recommendations, implementation steps, and time savings estimate.
VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and production discipline (on-call, deployment cadence, postmortem culture). Use when sprint velocity is dropping, eng hiring is broken, team structure is unclear, or deciding when to add a tech-lead manager. NOT a CTO skill (which owns architecture) — VPE owns delivery operations and how the team ships.
Implement LangChain rate limiting and backoff strategies. Use when handling API quotas, implementing retry logic, or optimizing request throughput for LLM providers. Trigger with phrases like "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota".
Apply when implementing retry logic, rate limit handling, or resilience patterns in VTEX API integrations. Covers VTEX rate limit headers (X-RateLimit-Remaining, X-RateLimit-Reset, Retry-After), 429 status handling, exponential backoff with jitter, circuit breaker patterns, and request queuing. Use for any VTEX marketplace integration that must gracefully handle API throttling and maintain high availability.
Use when debugging a Nemo Gym run or reward profiling job. Covers rollout collection failures, empty or partial JSONL outputs, stale materialized inputs, verifier/schema errors, Ray or Slurm issues, vLLM readiness, judge failures, tool/sandbox failures, cache problems, and throughput bottlenecks.