
Claude Skills by Intense-Visions
github.com/Intense-Visions> Test Nuxt components, composables, and pages using @nuxt/test-utils with full Nuxt context including auto-imports
> Propagate trace context across service boundaries using W3C TraceContext headers and baggage
> Add custom spans, attributes, and events to business-critical code paths beyond auto-instrumentation
> Track and correlate errors across services with span exceptions, status codes, and error events
> Configure OTLP exporters to send traces, metrics, and logs to observability backends and collectors
> Correlate structured logs with distributed traces using OpenTelemetry context for unified observability
> Record application metrics with OpenTelemetry counters, histograms, and gauges for monitoring and alerting
> Integrate OpenTelemetry with NestJS using interceptors, decorators, and module-based configuration
> Add OpenTelemetry tracing to Next.js with the instrumentation hook for Server Components, API routes, and middleware
> Identify performance bottlenecks using trace analysis, histogram metrics, and span timing patterns
> Control trace volume and costs with head sampling, tail sampling, and priority-based strategies
> Initialize the OpenTelemetry Node.js SDK with resource attributes, exporters, and auto-instrumentation
> Instrument distributed traces with OpenTelemetry spans to visualize request flow across services
> Post-execution LLM-judgment: did the implementation actually satisfy its spec? Reads the spec's acceptance section, the change diff, and test output, and emits a confidence-rated `OutcomeVerdict` (`SATISFIED | NOT_SATISFIED | INCONCLUSIVE`) with a rationale and unmet criteria. Ship authority is derived in TypeScript, never trusted from the LLM: a high-confidence `NOT_SATISFIED` blocks ship; every other verdict is advisory. The harness's first blocking post-execution spec-satisfaction gate (...
> Implement authentication that resists credential stuffing, session hijacking, and token theft
> Apply cryptographic best practices for password hashing, data encryption, digital signing, and key management
> Prevent cross-site request forgery by validating request origin and requiring unpredictable tokens for state-changing operations
> Manage third-party dependency risks with auditing, lockfiles, automated scanning, and supply chain hardening
> Secure file upload endpoints against malicious files, path traversal, resource exhaustion, and code execution
> Enforce object-level authorization so users can only access resources they own or are permitted to access
> Eliminate SQL, NoSQL, and command injection by never concatenating untrusted input into queries or commands
> Implement security logging and monitoring to detect attacks, support incident response, and maintain audit trails
> Protect APIs with rate limiting, throttling, and abuse prevention to mitigate brute force, scraping, and denial of service
> Keep credentials out of code, logs, and version control by using environment variables, secrets managers, and strict access controls
> Configure HTTP security headers to protect against XSS, clickjacking, MIME sniffing, and information leakage
> Block script injection by encoding output, sanitizing HTML, and enforcing Content Security Policy
> Master HTTP browser caching — Cache-Control directives, ETag and Last-Modified validation, immutable assets with content-hashed filenames, stale-while-revalidate patterns, and cache partitioning in modern browsers for optimal repeat-visit performance.
> Master bundle analysis techniques — visualization tools for chunk composition, size budget enforcement in CI, dependency cost evaluation, source map exploration, and continuous size tracking to prevent bundle bloat.
> Solve the hardest problem in computer science — cache invalidation strategies including TTL-based expiry, event-driven invalidation, versioned cache keys, cache stampede prevention with locking and probabilistic early expiration, and fan-out invalidation for denormalized data.
> Master CDN-specific caching mechanics — cache key composition, Vary header impact, Surrogate-Control directives, tag-based instant purging, edge TTL management with s-maxage, and edge-side includes for granular partial caching.
> Design and optimize Content Delivery Network architecture — tiered caching, origin shielding, edge compute patterns, cache hit ratio optimization, multi-CDN strategies, and geographic routing for globally distributed applications.
> Master client-side rendering performance — SPA rendering optimization, reducing unnecessary re-renders, skeleton screen patterns, progressive rendering strategies, virtual DOM efficiency, React performance profiling, and concurrent rendering features for responsive user interfaces.
> Master code splitting strategies — route-based splitting, component-based splitting, vendor chunk optimization, and dynamic imports to reduce initial bundle size and improve Time to Interactive across single-page applications and server-rendered frameworks.
> Master content compression for web delivery — Brotli, gzip, and Zstandard algorithms, compression level selection, content-encoding negotiation, static pre-compression vs dynamic compression, and format-specific optimization strategies.
> Understand and minimize the cumulative cost of DNS resolution, TCP handshake, and TLS negotiation — the invisible overhead that adds 100-500ms to every new connection before a single byte of application data transfers.
> Master database connection pooling — pool sizing formulas, connection lifecycle overhead, PgBouncer transaction-mode pooling, serverless connection management, pool monitoring and diagnostics, and configuration for PostgreSQL, MySQL, and managed database services.
> Understand and optimize the browser's 5-stage pixel pipeline — Parse HTML to DOM, Parse CSS to CSSOM, Render Tree construction, Layout, Paint and Composite — to minimize time-to-first-paint and eliminate render-blocking bottlenecks.
> Measure and prevent unexpected layout shifts — elements visually moving after being rendered — by reserving space for dynamic content, handling font loading, setting explicit dimensions, and understanding the CLS scoring formula.
> Understand the HTML5 parsing algorithm — tokenization, tree construction, speculative parsing, and the preload scanner — to minimize parser-blocking delays and accelerate DOM construction.
> Master edge rendering — deploying server-side rendering to edge locations for minimal latency, understanding edge runtime constraints, regional deployment strategies, edge middleware patterns, data locality considerations, and platform-specific optimization for Cloudflare Workers, Vercel Edge, and Deno Deploy.
> Understand the browser and Node.js event loop processing model — task queues, microtask queue, rendering steps, and task prioritization — to write code that cooperates with the rendering pipeline instead of blocking it.
> Master web font loading optimization — font-display strategies for FOIT/FOUT control, Unicode range subsetting, variable fonts for multi-weight reduction, WOFF2 compression, preloading critical fonts, self-hosting versus CDN delivery, and the Font Loading API for programmatic control.
> Understand V8's generational garbage collector — young generation Scavenge, old generation Mark-Sweep-Compact, incremental and concurrent marking — to minimize GC pauses and reduce allocation pressure in performance-critical code.
> Master heap snapshot analysis — Summary, Comparison, Containment, and Dominator views — to precisely identify what objects consume memory, why they are retained, and how to reclaim leaked memory using the 3-snapshot technique and allocation tracking.
> Master HTTP/2's binary framing layer, stream multiplexing over a single TCP connection, stream priorities, HPACK header compression, server push mechanics, and head-of-line blocking mitigation to eliminate redundant connections and accelerate page delivery.
> Understand HTTP/3's QUIC transport layer — 0-RTT connection establishment, UDP-based stream multiplexing without head-of-line blocking, connection migration across network changes, and built-in TLS 1.3 encryption for faster, more resilient web delivery.
> Master modern image format selection — WebP, AVIF, and JPEG XL encoding characteristics, quality-to-size trade-offs, automated conversion pipelines, content negotiation with the picture element, and format-specific optimization for photographic, illustrative, and UI image types.
> Master database indexing — B-tree index mechanics and column ordering, composite indexes for multi-column queries, partial indexes for filtered subsets, covering indexes for index-only scans, GIN indexes for JSONB and full-text search, GiST for geometric and range data, and index maintenance strategies.
> Measure and optimize INP — the worst-case interaction latency across the entire page session — by decomposing each interaction into input delay, processing time, and presentation delay, then targeting each phase with yielding, scheduling, and rendering strategies.
> Measure and optimize LCP — the time until the largest visible content element renders — by decomposing it into 4 sub-parts (TTFB, resource load delay, resource load time, element render delay) and targeting each with specific strategies.