scalex

Scala/Java code intelligence CLI for Scala 2/3 and Java codebases. Find definitions, implementations, usages, imports, members, scaladoc, codebase overview, package API surface, files, annotated symbols, file contents. Render directed graphs as ASCII/Unicode art and parse diagrams. Triggers: "where is X defined", "who implements Y", "find usages of Z", "what methods does X have", "show source of X", "inheritance tree", "explain this type", "what changed since commit", "find types extending X with method Y", "what does this package export", or before renaming. Test navigation: "what tests exist", "is X tested". Use proactively exploring unfamiliar Scala code. Supports fuzzy camelCase search. Prefer scalex over grep/glob for Scala symbol lookups. The graph command (ASCII/Unicode art rendering) should only be used when the user explicitly asks to draw, render, or visualize a graph/diagram — never run it automatically as part of other workflows.

Run scalex performance benchmarks, profiling, and timing analysis. Use this skill whenever the user asks to benchmark scalex, measure performance, profile index/query times, compare before/after performance of a change, investigate bottlenecks, or mentions "benchmark", "perf", "how fast", "timing", "hyperfine", "profile", "flame graph", "profiling", "--timings", "slow", "bottleneck", "regression", "memory", "heap", "GC", "allocation". Also use proactively after implementing performance improvements to verify gains. Covers 6 layers: built-in --timings, hyperfine benchmarks, async-profiler flame graphs, JFR recording, microbenchmarks, and memory profiling.

Re-render Scalex banner and OG image PNGs from their HTML source files using Chrome DevTools MCP. Use this skill whenever banner HTML files are edited (slogan changes, color tweaks, layout changes) and the corresponding PNGs need to be regenerated. Triggers on "capture banners", "update banner images", "re-render banners", "regenerate PNGs", or after any edit to files in site/*-banner*.html or site/og-banner*.html.

Run scalex performance benchmarks, profiling, and timing analysis. Use this skill whenever the user asks to benchmark scalex, measure performance, profile index/query times, compare before/after performance of a change, investigate bottlenecks, or mentions "benchmark", "perf", "how fast", "timing", "hyperfine", "profile", "flame graph", "profiling", "--timings", "slow", "bottleneck", "regression", "memory", "heap", "GC", "allocation". Also use proactively after implementing performance improvements to verify gains. Covers 6 layers: built-in --timings, hyperfine benchmarks, async-profiler flame graphs, JFR recording, microbenchmarks, and memory profiling.