Plugins
3 plugins@ziri22
Agency Roster
Agency Roster from ziri22/agency-roster.
100 skills · plugin
@rosendolu
.Cursor
.Cursor from rosendolu/cursor-skills.
10 skills · plugin
@testdouble
Han Core
The shared foundation of the Han suite: the specialist agent roster the other plugins dispatch, the project-discovery skill with its project-scanner agent, and the canonical evidence and YAGNI rule files. The documentation skills live in han-documentation, the pre-planning research skills in han-research, the planning skills in han-planning, and the coding skills in han-coding; each depends on han
2 skills · plugin
Results for “ros”
9 skills
More results
k-dense-ai Polars
Process data with high-performance DataFrames using Polars' expression-based API, lazy evaluation, and parallel execution for ETL, analytics, and pandas migration.
30.2k · bundle
tools-only 011 Main 6e6d1018
Guides setting up Drizzle ORM with Vercel Postgres and Vercel KV for a manufacturing analysis app, covering schema definition, queries, migrations, caching, sessions, and rate limiting.
7 · bundle
itsmostafa Rds
Manage AWS RDS relational databases: provision instances, configure backups, manage replicas, troubleshoot connectivity, and optimize performance.
1.1k · bundle
jackychenlu Polars
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
0 · bundle
nous-hermeshub Rice
RICE feature prioritization with scoring and capacity planning. Usage: /rice prioritize <features.csv> [options]
1
lingxling Polars
High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
253 · bundle
qhjqhj00 Roc
Computes the Receiver Operating Characteristic (ROC) metric using torchmetrics, supporting binary, multiclass, and multilabel tasks.
3
matlab Matlab Import Driving Data
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-use-scenario-builder.
920 · bundle