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Results for “kernel”

291 skills · sorted by relevance

Optimize and troubleshoot MNN's Hexagon DSP backend, which runs computation on a dedicated processor. The workflow uses device measurements to identify bottlenecks, compare v79 and v81 architectures, verify correctness, and investigate crashes or memory usage.

  • Finding bottlenecks in Hexagon operators
  • Checking changes on v79 and v81 devices
  • Investigating cDSP crashes and device disconnects
alibaba/MNN16.3KUpdated Oct 20, 2026

awq-quantization

FreeSummary

Compress large language model weights to four bits with AWQ, a method that uses model activation patterns to limit quality loss. Follow workflows for quantization, loading compressed models, and serving them with vLLM using less GPU memory.

  • Running large language models with limited GPU memory
  • Quantizing a model with domain-specific text
  • Serving an AWQ model with vLLM
Orchestra-Research/AI-Research-SKILLs13.8KUpdated Oct 11, 2026

Assess Docker, containerd, and Podman environments for weaknesses that could expose the host system. The skill organizes checks for excessive permissions, exposed runtime sockets, and known vulnerabilities, alongside indicators defenders can monitor.

  • Assessing container isolation
  • Reviewing permissions and exposed runtime sockets
  • Checking known runtime vulnerabilities
SnailSploit/Claude-Red7.6KUpdated Oct 13, 2026

Investigate how a limited Linux account could gain root, the system administrator's privileges. The skill guides checks of permissions, scheduled tasks, services, and known vulnerabilities, while outlining evidence defenders can monitor during authorized security assessments.

  • Assessing Linux privilege escalation paths
  • Practicing privilege escalation in CTF challenges
  • Reviewing sudo and scheduled task configurations
SnailSploit/Claude-Red7.6KUpdated Oct 13, 2026

Plan persistence testing for authorized Windows and Linux security exercises, examining how access can survive logons or restarts. The skill compares mechanisms by privilege level and environment, with validation steps, detection indicators, and cleanup considerations.

  • Planning persistence tests for authorized exercises
  • Comparing methods by operating system and privilege
  • Reviewing detection indicators for persistence
SnailSploit/Claude-Red7.6KUpdated Oct 13, 2026

esmfold2

FreeSummary

Predict structures of protein, nucleic acid, and small-molecule complexes with ESMFold2, using single sequences or aligned related sequences. The skill also covers ESMC models for numerical sequence representations, mutation scoring, and predictions of contacts between residues.

  • Predicting complex structures from single sequences
  • Assessing designed binders with ESMFold2-Fast
  • Predicting structures using aligned related sequences
aipoch/open-science5.3KUpdated Oct 20, 2026

kaggle-research

FreeSummary

Search Kaggle datasets, competitions, notebooks, and models through its official command-line tool. Download public data into a chosen directory and preserve audit records and file hashes, identifiers used to check downloaded files.

  • Finding Kaggle datasets and inspecting metadata
  • Downloading public data into a chosen directory
  • Discovering competitions, notebooks, and models
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 19, 2026

figure

FreeSummary

Generate code for economics paper figures, including event studies that show effects over time and coefficient comparisons. Adjust fonts, colors, dimensions, and export settings, with consistent file naming for use in manuscripts.

  • Plot treatment effects over time with confidence intervals
  • Compare coefficient estimates across models
  • Standardize figure formatting for a journal submission
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 19, 2026

Restructure claude-flow v3 into focused modules using Domain-Driven Design, which groups code by responsibility. Define module boundaries, event communication, and plugin interfaces to support a modular architecture with independently testable business logic.

  • Split an oversized orchestrator into focused modules
  • Define boundaries between tasks, sessions, and monitoring
  • Design plugin extensions and domain events
ruvnet/RuVector4.6KUpdated Oct 20, 2026

Deploy code changes to a live hero training run by starting a new run from a permanent checkpoint, a saved training state. Compare matching training steps against agreed criteria and roll back if the trial fails.

  • Deploy backend or optimizer changes to a live training run
  • Compare loss and throughput across matching training steps
  • Rehearse checkpoint handoff and rollback procedures
marin-community/marin4KUpdated Oct 20, 2026

Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.

The English summary is being prepared. Showing the original description.

code-yeongyu/lazycodex3.8KUpdated Oct 19, 2026

Drives a real browser through the omowright library from the js eval kernel: sites the user is already signed into, forms and clicks, JS-rendered pages, screenshots, web QA, extension popups, a human handoff for login, CAPTCHA or OTP, and a browser you own for scraping, bot-scored targets, network capture and QA traces. Use for any interactive browser task; not for a plain search or an unblocked static fetch.

The English summary is being prepared. Showing the original description.

code-yeongyu/lazycodex3.8KUpdated Oct 19, 2026

Select an NVSHMEM remote transport from target system and kernel evidence. Use for inter-node selection, compatibility checks, or configuration.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Prepare or review NVSHMEM CUDA kernels for TMA SMEM registration and direct-SMEM transfers. Do not use for unrelated CUDA tuning.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. Do NOT use for kernel-DT overlay or ODMDATA edits.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Set up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Use when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.

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NVIDIA/skills3.7KUpdated Oct 20, 2026

Reclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Enable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026

Use this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.

The English summary is being prepared. Showing the original description.

NVIDIA/skills3.7KUpdated Oct 20, 2026