flamegraphs
De la autor
Use when turning perf, DTrace, pprof, or async-profiler stacks into an SVG flamegraph with the FlameGraph scripts, reading one, or diffing two profiles. Not for collecting data: use linux-perf.
Instalare
npx skills add OutlineDriven/outline-driven-development --skill flamegraphs -a claude-code
Se instalează în .claude/skills/flamegraphs/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- linux-perfOutlineDriven/outline-driven-developmentUse when collecting sampling profiles with perf record, reading perf report or perf annotate, measuring PMU counters with perf stat -e, or using PAPI instrumentation to interpret IPC, miss rates, MPKI, or memory bandwidth on Linux. Not for SVG rendering: use flamegraphs.Media★ 54
- perf-profilercomposio-community/awesome-claude-pluginsUse when profiling CPU/memory hot paths, generating flame graphs, or capturing JFR/perf evidence.Productivitate★ 2K
- graphsignal-profilerskillmds/skillmdSet up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch, and dstack services. Use when the user wants GPU profiling, tracing, or monitoring for inference, asks about `graphsignal-run` or `graphsignal.watch()`, or asks about CUPTI / Prometheus / OTLP setup.Altele★ 190
- rust-profilingOutlineDriven/outline-driven-developmentUse when profiling Rust binaries with flamegraphs, cargo-bloat, cargo-llvm-lines, Criterion, perf, heaptrack, or DHAT.Altele★ 54
- pyroscopegrafana/skillsContinuously profile applications with Grafana Pyroscope and read the result as flame graphs. Covers three instrumentation paths — language SDK push (Go / Java / Python / Ruby / Node / .NET / Rust), Alloy eBPF auto-instrumentation (no code change, requires kernel 5.8+ with BTF), and SDK → Alloy receiver — plus ProfileQL queries, profile types (CPU / memory / allocations / goroutines / mutex), Grafana Cloud Profiles endpoint, and Span Profiles trace-to-profile linking. Use when adding profiling to a service, deploying Alloy as a cluster-wide eBPF profiler, hunting CPU / memory hotspots from a flame graph, comparing two profiles to find a regression, or correlating a slow Tempo trace to its profile — even when the user says "find what's burning CPU", "flame graph this app", "continuous profiling", "heap hotspots", or "why is allocation so high" without naming Pyroscope.OficialDevOps★ 290
- perf-code-pathscomposio-community/awesome-claude-pluginsUse when mapping code paths, entrypoints, and likely hot files before profiling.Inginerie★ 2K
Note și recenzii
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