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Found 569 Skills
Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. Optimized for hero sections, landing pages, and multi-section site comps that developers or coding models can accurately recreate.
Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code.
Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See golang-benchmark and golang-performance skills).
Integrate Cartridge's verifiable random number generator (vRNG) into onchain games.
Remove AI-style noise from staged and branch diffs while preserving behavior and repository style.
Configure Cartridge RPC endpoints with API token authentication and CORS whitelisting.
Removes AI writing artifacts from documentation and code. Use when editing LLM-generated prose, reviewing READMEs, polishing docs before publishing, or cleaning up AI-generated code. Use for emdash cleanup, formulaic phrase removal, tone calibration, over-commented code, verbose naming, and AI code smell detection.
Beans-driven Ralp loop for beans-enabled repos. Use either to work on one bean on user request or to work on all beans in a repo.
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells and produce more human-like writing.
Cut AI tells from any writing. Must always apply.
Use when building interactive components for predefined slots in Wix business solutions. Triggers include site plugin, slot, Wix app integration, plugin explorer, business solution extension.