AdonaiVera
- 18 skills
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- 1 week ago last updated
- ▌ Fiftyone Create Notebook · adonaivera bundleCreates Jupyter notebooks for FiftyOne workflows including getting-started guides, tutorials, recipes, and full ML pipelines. Use when creating notebooks, writing tutorials, building demos, or generating FiftyOne walkthroughs covering data loading, exploration, inference, evaluation, and export.
- ▌ Fiftyone Find Duplicates · adonaivera bundleFinds duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when deduplicating datasets, finding similar images, or removing redundant samples.
- ▌ Fiftyone Dataset Curation · adonaivera bundleEnd-to-end dataset curation for FiftyOne: inspect schema and quality, audit annotations, analyze class distributions, explore embeddings, find duplicates, create curated subsets, and build train/val/test splits. Works with any computer vision dataset type.
- ▌ Fiftyone Model Evaluation · adonaivera bundleEvaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.
- ▌ Fiftyone Zoo Remote Model · adonaivera bundleUse when integrating a model into FiftyOne's remote model zoo — detection, classification, segmentation, embedding, keypoint, or vision-language (VLM) models loaded via `register_zoo_model_source` and `load_zoo_model`, then applied with `dataset.apply_model`. Also for debugging zoo registration, `manifest.json` issues, custom `fom.Model` / `TorchModelMixin` subclasses, DataLoader pickle errors, or worker `ModuleNotFoundError` from spawned DataLoader workers.
- ▌ Fiftyone Dataset Inference · adonaivera bundleRun ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources — never assumes a fixed model list.
- ▌ Fiftyone Embeddings Visualization · adonaivera bundleVisualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.
- ▌ Fiftyone Generate Data Lens Connector · adonaivera bundleGenerate a Data Lens connector from an external database schema. Use when users want to connect an external data source (PostgreSQL, BigQuery, Databricks, MySQL, etc.) to FiftyOne Data Lens, or when they have a database schema and want to browse/import that data through the FiftyOne App.
- ▌ Fiftyone Code Style · adonaivera bundleWrites Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
- ▌ Fiftyone Eval Plugin · adonaivera bundleEvaluates FiftyOne plugins for quality, security, and agent-readiness. Use when reviewing a plugin before installation, auditing an existing plugin, validating a plugin you just built, or assessing community plugins for safety. Produces a structured report with scores and actionable recommendations.
- ▌ Fiftyone Issue Triage · adonaivera bundleTriages FiftyOne GitHub issues by categorizing as fixed, won't fix, not reproducible, or still valid. Use when reviewing GitHub issues, triaging bugs, or closing stale issues in the voxel51/fiftyone repository.
- ▌ Fiftyone Sdk Guidance · adonaivera bundleAnswers FiftyOne Python SDK questions with accurate, runnable code. Use when the user asks how to do something in the FiftyOne Python SDK, asks a docs question, no skill or operator covers their goal, or the agent is unsure of the correct FiftyOne method, argument, or field path while writing code — e.g. "how do I do X in Python", "show me the SDK for filtering", "there's no operator for this, can I do it in code", "what's the API for embeddings", "write me a Python script to do Y".
- ▌ Fiftyone Troubleshoot · adonaivera bundleDiagnose and fix common FiftyOne issues automatically. Use when a dataset disappeared, the App won't open, changes aren't saving, MongoDB errors occur, video codecs fail, notebook connectivity breaks, operators are missing, or any recurring FiftyOne pain point needs solving.
- ▌ Fiftyone Voodo Design · adonaivera bundleBuild FiftyOne UIs using VOODO (@voxel51/voodo), the official React component library. Use when building plugin panels, creating interactive UIs, or styling FiftyOne applications. Fetches complete component API reference dynamically.
- ▌ Fiftyone App Playwright · adonaivera bundleUse when driving the FiftyOne App via the Playwright MCP — plugin/operator verification, demo or screencast recording, or any end-to-end UI automation against `fo.launch_app(...)`. Covers the critical "do not navigate after reload_dataset" crash, launcher patterns (remote=True, trigger-file IPC), MUI-specific input/dropdown gotchas, sidebar tag filtering, `data-cy` selectors, dialog scrolling, session refresh strategies, and cleanup. Trigger on mentions of "Playwright + FiftyOne", "automate FiftyOne App", "operator demo", "browser_navigate crash", "reload_dataset", or any FiftyOne session that silently dies after a UI action.
- ▌ Fiftyone Dataset Export · adonaivera bundleExports FiftyOne datasets to standard formats (COCO, YOLO, VOC, CVAT, CSV, etc.) and Hugging Face Hub. Use when converting datasets, exporting for training, creating archives, sharing data in specific formats, or publishing datasets to Hugging Face.
- ▌ Fiftyone Dataset Import · adonaivera bundleImports datasets into FiftyOne with automatic format detection. Supports all media types (images, videos, point clouds), label formats (COCO, YOLO, VOC, KITTI), multimodal grouped datasets, and Hugging Face Hub datasets. Use when importing datasets from local files or Hugging Face, loading autonomous driving data, or creating grouped datasets.
- ▌ Fiftyone Develop Plugin · adonaivera bundleDevelops custom FiftyOne plugins (operators and panels) from scratch. Use when creating plugins, extending FiftyOne with custom operators, building interactive panels, or integrating external APIs.