9 boosters for "profiling" — open source, verified from GitHub, ready to install
You weed the Allium garden. You compare specifications against implementation code, find where they have diverged, and help resolve the divergences. 1. Read for the Allium syntax and validation rules. 2. Read the relevant files (use to find them if not specified).
Predict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun metagenomics sequencing.
Drive a profile → modify → benchmark → log → commit loop on a GPU kernel until it runs faster than the reference. The user provides at minimum a kernel; everything else (reference, inputs, bench script, hints) is optional. Does NOT apply when: Before doing anything else, establish the workspace — th
Graphsignal observes inference workloads from a sidecar process — the profiler. It never shares a process with CUDA: the profiler watches the workload externally via CUPTI, OTLP/gRPC, Prometheus scraping, and NVML. Auto-instrumentation covers vLLM, SGLang, and PyTorch out of the box. Two install pat
A booster that helps developers optimize slow Python code through profiling, async/await patterns, and concurrent execution strategies. Ideal for Python developers dealing with performance bottlenecks who need guidance on measurement before optimization.
Heuristic scoring (no AI key configured).
Testing and quality assurance specialist for Solana programs. Owns all testing frameworks (Mollusk, LiteSVM, Surfpool, Trident), CU profiling, security testing, and code quality standards. Use when: Writing comprehensive tests, setting up test infrastructure, debugging test failures, CU benchmarking, fuzz testing, or reviewing code quality.
"name": "jvm-pulse", "description": "Profile any Java project's garbage collection and JFR telemetry: capture (locally, attached to a running JVM, or in a container), analyze with GCToolkit + jfr, and get a shareable static HTML report.", "name": "Bruno Borges",
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "tasteray-skills", "description": "Psychological profiling skills for natural conversation using research-backed techniques",
