163 skills · sorted by relevance
Set up ArgoCD to keep Kubernetes deployments aligned with configuration stored in Git, an approach called GitOps. Follow guidance for multiple environments, automatic synchronization, deployment ordering, access permissions, and troubleshooting differences.
Create and update prompt-based agents in Azure AI Foundry from a local JSON manifest, a file listing agent definitions. The skill prepares synchronization scripts, pushes instructions to the service, and verifies registered agents.
Set up MISP to collect threat feeds and centrally manage indicators such as suspicious IP addresses and domains. Configure automated synchronization, connect related findings, and export indicators to security monitoring platforms or blocklists.
Find bottlenecks in large data transfers, imports, transformations, and historical data catch-up. Benchmark alternative processing methods, turn the fastest correct approach into a repeatable workflow, and verify file counts, row counts, and timestamps after execution.
Build advanced AgentDB workflows with database synchronization, multiple databases, and search that combines meaning with attribute filters. Covers similarity measures, diverse search results, and operational patterns for distributed AI applications.
Coordinate changes across multiple GitHub repositories with teams of AI agents. Align package versions, synchronize documentation, standardize project structures, and organize integration tests and pull requests for updates that affect several projects.
Back up and restore OmniRoute data from the command line. Manage incremental snapshots, scheduled backups, encryption, and cloud synchronization, with options to compare differences and preview data transfers or imports before applying them.
Implement distributed data synchronization with CRDTs, data structures designed to merge concurrent updates. Covers counters, sets, shared values, and sequences, with incremental updates and tracking of dependencies between operations.
Build advanced AgentDB workflows with database synchronization, multiple databases, and search that combines meaning with attribute filters. Covers similarity measures, diverse search results, and operational patterns for distributed AI applications.
Review Google Health Connect records synced from an Android device, including steps, heart rate, sleep, and workouts. Examine daily trends or individual measurements, check synchronization gaps, and delete stored records when requested.
Convert single-plane, single-channel two-photon TIFF images and timestamped behavioral position CSV files into NWB, a neuroscience data format. Preserve metadata, check clock alignment against acquisition evidence, and report format validation findings and source-to-output comparisons.
Structure mobile apps built with React Native and Expo. Covers navigation, state management, device feature integration, offline data synchronization, and performance practices, helping developers organize projects and account for differences between iOS and Android.
Design agents for recurring internal work such as scheduled posts, data synchronization, and event responses. Define triggers, duplicate prevention, approval boundaries, required integrations, and a consistent seven-field execution record for every run.
Modify Handsontable’s Walkontable rendering engine using its architecture and coding rules. The skill covers visible-area calculations, frozen rows and columns, scroll synchronization, browser element measurements, and tests for rendering changes.
Configure ArgoCD in KubeSphere DevOps for GitOps, which keeps deployed applications aligned with configuration stored in Git. Covers application management, repository credentials, shared sign-in, multiple clusters, and troubleshooting synchronization problems.
Manage NodeGroup resources in a KubeSphere environment, including creation, updates, and deletion. Bind or unbind nodes, namespaces, and workspaces, verify changes, and investigate synchronization problems or deployment settings using the bundled API script.
Adjust how autopilot vehicles behave in CARLA, including speed, following distance, traffic light responses, and lane changes. Apply settings across traffic or to individual vehicles, and configure seeds and synchronization for repeatable traffic runs.
Prepare and coordinate Octop Python package releases, including version updates, a Chinese changelog, and a pull request. After merging, GitHub Actions handles release tags, package and container publishing, and branch synchronization.
Test a real Electron app against a Den server in two separate Daytona environments. Check cloud sign-in, marketplace changes, organization policies, provider synchronization, and worker recovery, then collect evidence from the interface, APIs, logs, screenshots, and optional recordings.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
The English summary is being prepared. Showing the original description.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
The English summary is being prepared. Showing the original description.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
The English summary is being prepared. Showing the original description.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
The English summary is being prepared. Showing the original description.
Comprehensive best practices for robot perception systems covering cameras, LiDARs, depth sensors, IMUs, and multi-sensor setups. Use this skill when working with RGB image processing, depth maps, point clouds, sensor calibration (intrinsic, extrinsic, hand-eye), object detection, semantic segmentation, 3D reconstruction, visual servoing, or perception pipeline optimization. Trigger whenever the user mentions OpenCV, Open3D, PCL, RealSense, ZED, OAK-D, camera calibration, AprilTags, ArUco markers, stereo vision, RGBD, point cloud filtering, ICP registration, coordinate transforms, camera intrinsics, distortion correction, image undistortion, sensor streaming, frame synchronization, or any computer vision task in a robotics context. Also covers multi-camera rigs, time synchronization across sensors, perception latency budgets, and production deployment of perception pipelines.
The English summary is being prepared. Showing the original description.