Build and run the GPUNetIO benchmark to measure sustained RDMA WRITE bandwidth, a remote-memory transfer rate driven by a CUDA kernel. Interpret results, investigate run-to-run variation, and identify GPU, network adapter, or link bottlenecks.
- Measure sustained GPU-initiated RDMA WRITE bandwidth
- Investigate bandwidth variation between runs
- Identify GPU, network adapter, or link bottlenecks
NVIDIA/skills☆ 3.7KUpdated Oct 21, 2026
ネットワーク品質を総合的に診断し、ボトルネックの特定と根本原因の深堀りまで行うスキル。 接続情報、レイテンシ、ダウンロード速度、HTTP接続タイミング、経路解析を自動実行し、 品質閾値に基づく総合評価を日本語レポートとして出力する。 外部依存なし(OS標準ツールのみ使用)、macOSおよびLinux対応。 Use when diagnosing network quality, troubleshooting slow connections, identifying network bottlenecks, measuring latency/bandwidth/jitter, or generating network health reports. 「ネットワーク診断」「network diagnostics」「ネットワークが遅い」 「latency check」「bandwidth test」「traceroute analysis」
The English summary is being prepared. Showing the original description.
takusaotome/claude-skills-library☆ 10Updated Oct 5, 2026
Use when working with Bandwidth — bandwidth communications platform management for voice calls, SMS/MMS messaging, phone number ordering, and 911 services. Use when managing phone number inventory, analyzing message delivery, monitoring call quality, reviewing usage, or troubleshooting Bandwidth messaging and voice issues.
The English summary is being prepared. Showing the original description.
cloudthinker-ai/CloudSkills☆ 6Updated Apr 5, 2026
Configure pfSense to separate internal, guest, DMZ, and IoT networks. Set firewall rules, port forwarding, VPN connections, and bandwidth policies, then check traffic logs and test that each network can reach only its intended destinations.
- Separate staff, guest, server, and IoT networks
- Set port forwarding rules for externally accessible services
- Configure VPN access and bandwidth policies
mukul975/Anthropic-Cybersecurity-Skills☆ 34.8KUpdated Aug 31, 2026
Estimate effects by comparing observations just above and below an eligibility threshold using regression discontinuity design. Covers plots, comparison range selection, sharp and fuzzy designs, validity checks, and sensitivity analysis for reporting research findings.
- Estimate a policy effect near an eligibility threshold
- Analyze treatment with imperfect compliance
- Check manipulation and covariate balance at a cutoff
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Measure NVSHMEM communication bandwidth and latency, then package results with GPU placement, hardware connections, exact commands, and raw logs. Produce a portable Markdown report for performance checks and comparisons against a baseline collected under matching conditions.
- Running the four-test device communication sanity suite
- Recording same-node and two-node performance results
- Packaging benchmark logs and environment evidence for handoff
NVIDIA/skills☆ 3.7KUpdated Oct 21, 2026
Measure throughput, latency, or maximum bandwidth for DOCA libraries using doca_bench on a host or BlueField Arm. Capture commands and environment details for repeatable comparisons, check run stability, and investigate configuration or measurement problems.
- Measuring BlueField compression throughput
- Checking RDMA throughput or cryptographic latency
- Recording a baseline before driver or firmware upgrades
NVIDIA/skills☆ 3.7KUpdated Oct 21, 2026
Analyze signal spectra in MATLAB using nonparametric and parametric estimators. Use when computing frequency content, PSD, power spectrum, spectral peaks, bandwidth, or streaming spectral analysis. Covers pspectrum, pwelch, periodogram, pmtm, pburg, pmusic, rootmusic, plomb, poctave, spectrumAnalyzer, dsp.SpectrumEstimator. TRIGGER: FFT, PSD, power spectrum, spectral analysis, frequency content, bandwidth measurement, spectral leakage, window selection, streaming spectrum, periodicity, resolve close frequencies, multitaper. DO NOT TRIGGER: filter design, spectrogram/time-frequency, audio features.
The English summary is being prepared. Showing the original description.
matlab/matlab-agentic-toolkit☆ 1.2KUpdated Oct 14, 2026
Generate 3GPP-compliant 5G NR downlink and uplink baseband waveforms. Use to create NR signals, test model (TM) waveforms, fixed reference channels (FRC), test and measurement (T&M) signals, or test vectors for conformance testing. Covers configuring data, control, and broadcast channels and signals: PDSCH, PUSCH, PDCCH, PUCCH, SRS, SSBurst, CSI-RS, DM-RS, PT-RS, CORESET, and BWP parameters including bandwidth, subcarrier spacing (SCS), modulation (QPSK, QAM), numerology, FR1, FR2, TDD, FDD, and multi-bandwidth-part setups. Use for signal generation, RF instrument playback, or IQ baseband synthesis. Requires 5G Toolbox.
The English summary is being prepared. Showing the original description.
matlab/matlab-agentic-toolkit☆ 1.2KUpdated Oct 14, 2026
Optimize RF PCB dimensions for bandwidth, return loss, or area via patternsearch and surrogateopt with constraints. TRIGGER: user asks to optimize an RF PCB component for performance (bandwidth, return loss, insertion loss, area) or apply constraints to a design. Invoke BEFORE writing optimization code — RF PCB Toolbox has a built-in optimize() function that differs from generic fmincon/ga approaches. SKIP: designing a component from scratch without an optimization objective (use the specific matlab-design-pcb-* skill), EM analysis without optimization (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material).
The English summary is being prepared. Showing the original description.
matlab/matlab-agentic-toolkit☆ 1.2KUpdated Oct 14, 2026
Design of active analog circuits built around operational amplifiers and discrete gain stages — inverting, non-inverting, difference, and instrumentation topologies, negative feedback and loop stability (gain-bandwidth product, phase margin, compensation), active filters (Sallen-Key, multiple-feedback biquad), sinusoidal and relaxation oscillators, comparators and Schmitt triggers, voltage references (bandgap, shunt, series), and linear versus switching voltage regulators. Covers how to pick a topology, close a feedback loop that stays stable, set gain and bandwidth, and choose a power-conversion approach. Use when designing an amplifier, filter, oscillator, reference, comparator, or regulator, or when reasoning about feedback stability, loop gain, phase margin, or op-amp non-idealities.
The English summary is being prepared. Showing the original description.
Tibsfox/gsd-skill-creator☆ 71Updated Jul 20, 2026
Measure encoding/decoding throughput across Syrup implementations. This skill provides bandwidth benchmarks for comparing serialization performance.
The English summary is being prepared. Showing the original description.
plurigrid/asi☆ 70Updated Jul 10, 2026
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
The English summary is being prepared. Showing the original description.
waynesutton/agent-ready-component☆ 9Updated Aug 28, 2026
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
The English summary is being prepared. Showing the original description.
convex/components-submissions-directory☆ 9Updated Oct 16, 2026
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
The English summary is being prepared. Showing the original description.
waynesutton/teleprompter☆ 5Updated Jun 28, 2026
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
The English summary is being prepared. Showing the original description.
waynesutton/waynesutton-ai☆ 2Updated Sep 8, 2026
Manage Cloudinary images, videos, and files with natural language requests. Organize folders, configure upload rules, inspect assets, generate transformed versions, and check storage and bandwidth usage through Rube MCP and Composio.
- Organizing campaign assets into folders
- Setting upload rules for product images
- Generating cropped images and thumbnails
ComposioHQ/awesome-claude-skills☆ 77.6KUpdated Sep 18, 2026
Evaluate a machine learning GPU cluster during a cloud trial or acceptance test. Measure GPU computing performance, communication within and between machines, and local and shared storage, then compile the results into a dated Markdown report.
- Evaluating trial GPU machines from a cloud provider
- Running acceptance tests for a GPU cluster
- Measuring GPU performance under load from neighboring GPUs
stas00/ml-engineering☆ 19.6KUpdated Oct 17, 2026
Manage Cloudinary images, videos, and files with natural language requests. Organize folders, configure upload rules, inspect assets, generate transformed versions, and check storage and bandwidth usage through Rube MCP and Composio.
- Organizing campaign assets into folders
- Setting upload rules for product images
- Generating cropped images and thumbnails
composio-community/awesome-codex-skills☆ 17KUpdated Jul 26, 2026
Model queues, production lines, logistics, and other systems that share limited resources in Python. Use discrete-event simulation, which advances through individual events, to measure waiting times, resource use, and throughput when comparing staffing or equipment levels.
- Comparing queue times for different staffing levels
- Examining production line bottlenecks
- Testing inventory and logistics flows
zLanqing/codex-claude-academic-skills☆ 5.2KUpdated May 14, 2026
Implement structured telemetry, such as counters and events, from DOCA applications to external consumers. Guides publishing API selection, schema and source setup, build and test workflows, and debugging lifecycle errors or reports that never reach the receiver.
- Publish packet counters and bandwidth gauges from a DOCA application
- Define event fields and initialize schemas and sources
- Investigate DOCA_ERROR_BAD_STATE during event reporting
NVIDIA/skills☆ 3.7KUpdated Oct 21, 2026
Build and run a benchmark for RDMA WRITE, a direct memory transfer initiated by a CUDA kernel. Check GPU and network adapter pairing, interpret timing columns, and assess median latency, p99, and timing variation.
- Measure GPU-initiated RDMA WRITE latency
- Assess p99 latency and jitter for a control loop
- Compare results before and after hardware tuning
NVIDIA/skills☆ 3.7KUpdated Oct 21, 2026
Configures AWS Transit Gateway: creating a hub and attaching VPCs, segmenting traffic with route tables, centralizing egress and inspection through a hub (appliances or a Gateway Load Balancer endpoint), forcing east-west traffic between VPCs through AWS Network Firewall, connecting on-premises networks over the transit-gateway side of a Site-to-Site VPN or Direct Connect attachment (including ECMP to aggregate bandwidth across multiple VPN tunnels), peering transit gateways across Regions, migrating from a VPC peering mesh, and routing IP multicast. Applicable when connecting many VPCs through one router, isolating environments, forcing VPC-to-VPC traffic through a central Network Firewall, reaching on-premises over the hub, linking Regions, or moving off a peering mesh. Not applicable for single-VPC routing, VPC peering between two VPCs (vpcpeering skill), Direct Connect gateway or virtual interface setup (directconnect skill), or Route 53 DNS work.
The English summary is being prepared. Showing the original description.
aws/agent-toolkit-for-aws☆ 2.9KUpdated Oct 20, 2026
Configures AWS Site-to-Site VPN: creating an IPsec VPN connection between an on-premises network and a VPC, choosing the target gateway (virtual private gateway, transit gateway, or AWS Cloud WAN), choosing static or dynamic (BGP) routing, sizing tunnel bandwidth (Standard 1.25 Gbps or Large 5 Gbps), connecting many sites through a VPN Concentrator, applying the customer gateway device configuration, making a connection highly available, and monitoring tunnels with CloudWatch. Applicable when the user wants to connect a data center or branch office to AWS over an encrypted tunnel, choose how routes are exchanged, scale throughput, consolidate sites, or diagnose a down tunnel. Routes to the right per-task procedure in references. Not for AWS Direct Connect (its own service), Client VPN for individual remote users, the transit gateway side of a VPN attachment (transitgateway skill), or Route 53 DNS work.
The English summary is being prepared. Showing the original description.
aws/agent-toolkit-for-aws☆ 2.9KUpdated Oct 20, 2026