Results for “oledump”

Install or refresh oh-my-claudecode for plugin, npm, and local-dev setups from the canonical setup flow

Import object detection models from HuggingFace or NVIDIA NGC into a DeepStream pipeline with automated ONNX download, TensorRT engine build, custom parser, multi-stream benchmark, and PDF report generation.

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Diagnose and observe an Oxla distributed analytical database using system catalog tables, Prometheus metrics, runtime log-level changes, and troubleshooting workflows for slow queries, node health, and memory/OOM pressure. Also covers debugging Oxla's external data sources, including the Redpanda/Kafka ingestion path.

Local LLM operations with Ollama on Apple Silicon, including setup, model pulls, chat launchers, benchmarks, and diagnostics.

Use when planning or managing a full OSDI cycle — the December title-registration and submission deadlines on HotCRP, the silent no-rebuttal review window, March notification, the May artifact deadline, June shepherded final papers, and the July conference — including rejection retargeting to SOSP or NSDI.

Patterns for OrbStack Linux VMs and Docker on macOS. Covers orbctl/orb commands, machine lifecycle, cloud-init, networking, file sharing, and SSH access. Must use when working with OrbStack, orbctl commands, or Linux VMs on macOS.

Runs large language models locally with Ollama, including model management, custom Modelfiles, and API integration. Use for private, offline LLM inference.

Guides users through a structured, conversational process to generate a production-ready Terraform stack and OCI Resource Manager schema for OKE clusters on Oracle Cloud Infrastructure.

Diagnose and root-cause issues with OCI Kubernetes Engine clusters and workloads through evidence-driven investigation.

Open Neural Network Exchange format for model interoperability across frameworks. Export models from PyTorch, TensorFlow, and other frameworks to ONNX, optimize with ONNX Runtime, and deploy for cross-platform inference on CPU, GPU, and edge devices.

Conduct passive OSINT reconnaissance on target organizations using a MITRE ATT&CK framework. Discovers employees, email patterns, subdomains, infrastructure, leaked credentials, and cloud assets with confidence-scored findings.

Diagnose and fix oh-my-claudecode installation issues

Presentation creation, format conversion (ODP/PPTX/PDF), slide automation with LibreOffice Impress.

Manage Outlook email, calendar, contacts, tasks, and OneDrive files via CLI or MCP server, supporting personal and enterprise accounts.

Capture frames or clips from RTSP/ONVIF cameras.

Convert Lanelet2 maps (.osm) to RoadRunner HD Map (.rrhd) format using MATLAB. Use when converting Lanelet2 maps into RoadRunner Scene Builder, building driving scenes from open-source map data, or transforming road network definitions for simulation.

Perform nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows using the umap-learn library.

Capture frames or clips from RTSP/ONVIF cameras.

Capture snapshots, clips, or motion events from RTSP/ONVIF cameras using the camsnap CLI.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.

Import HD Map or OpenDRIVE files into a RoadRunner scene using MATLAB. Use when loading driving scenes in RoadRunner or RoadRunner Scene Builder, importing RRHD, OpenDRIVE, or other RoadRunner-supported formats for simulation, or verifying Lanelet2-to-RRHD conversion results visually. Requires rrApp handle from roadrunner-core.

Create, validate, and consume Google's Open Knowledge Format (OKF) bundles — YAML-frontmatter Markdown files with type / title / description / resource / tags / timestamp fields for portable, interoperable AI-agent knowledge sharing. OKF formalizes the LLM-Wiki pattern into a vendor-neutral open specification so any producer can write and any agent can consume without translation. Routes: use `llm-wiki` for raw source capture + vault maintenance, `obsidian` for Obsidian-vault workflows, `graphify` for durable committed graphs, `scrapling` for web-content extraction into OKF docs. Triggers on: okf, open knowledge format, knowledge bundle, okf document, llm wiki standard, knowledge atom, agent context format, okf frontmatter, okf bundle, knowledge interoperability.

Ad-Hoc Raw Upload to Databricks

Autopsy a stuck project, extract salvageable artifacts, and route to a fresh start via $bootstrap-repo reset or new-repo bootstrap

Capture frames or clips from RTSP/ONVIF cameras.

Optional low-priority poller that inventories Worklink tool pins from <home>/worklink.yaml and files/reuses Chainlink bump issues when upstream versions drift. Opt-in: copy this directory into <home>/skills/worklink-tool-pins/ and configure tool_pins in worklink.yaml.

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

Turn a design or spec document into a working MVP by planning thin vertical slices, scaffolding the first slice, then building iteratively with test-driven development and gated commits.

Capture frames or clips from RTSP/ONVIF cameras.

Reduce high-dimensional data with UMAP for visualization, clustering preprocessing, and supervised or semi-supervised learning, including parameter tuning guidance.

Creates, edits, and converts presentations using LibreOffice Impress, including ODP, PPTX, and PDF formats, with automation via command-line and Python scripting.

基于用户素材与可选外部发现搭建 ΩmegaWiki，并用并行 `/ingest` 完成最终论文集的消化