Performance Tuning skills

Customize Clocks

nvidia

Control CPU, GPU, and EMC clock settings for Jetson devices.

C

CuTile Autotuning

nvidia

Optimize CuTile kernels with automated tuning techniques.

DeepStream Profiling

nvidia

Efficiently profile and tune DeepStream pipelines.

CUDA Graphs

nvidia

Optimize GPU performance with CUDA graph capture.

O

Omniverse USD Performance Tuning

nvidia

Optimize USD performance for better loading and rendering.

C

cuTile Kernel Performance Optimization

nvidia

Optimize cuTile kernel performance iteratively and systematically.

Spark Engineer

jeffallan

Optimize and debug your Spark applications effectively.

PostgreSQL Pro

jeffallan

Optimize your PostgreSQL database performance effectively.

Qdrant Memory Optimization

github

Diagnose and reduce Qdrant memory usage effectively.

Qdrant Search Optimization

github

Diagnose and fix slow Qdrant search performance.

DOCA Flow Tune

nvidia

Optimize and analyze your DOCA Flow pipelines effectively.

L

Langfuse Infra Scaling

langfuse

Optimize Langfuse autoscaling for cost and performance.

Qdrant Scaling QPS

github

Optimize Qdrant for higher query throughput.

A

Autonomous Optimization

danielmiessler

Streamline your performance tuning with automated feedback loops.

S

SPARC Refinement Agent

ruvnet

Enhance code quality through iterative refinement.

O

Optimizing ClickHouse and HogQL Queries

posthog

Streamline your ClickHouse and HogQL query performance.

Supabase Postgres Best Practices

davila7

Optimize your Postgres database performance with proven guidelines.

SQL Pro

davila7

Master advanced SQL techniques for cloud-native databases.

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

Representative MoE training playbooks by hardware platform and model family. Summarizes rounded throughput bands, parallelism patterns, and common tuning stacks.

Use when building or debugging interactive 3D scenes on the web with Three.js (scene/camera/renderer, lights/materials, GLTF loading, controls, performance). Helpful for designers shipping 3D UI moments.

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.

Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.