fiftyone-model-evaluation
Evaluate 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, classif...
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Evaluate 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, classif...
Finds duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when deduplicating datasets, finding similar images, or removing redundant samples.
Visualizes 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.
Develops custom FiftyOne plugins (operators and panels) from scratch. Use when creating plugins, extending FiftyOne with custom operators, building interactive panels, or integrating external APIs.
Triages 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.
Exports FiftyOne datasets to standard formats (COCO, YOLO, VOC, CVAT, CSV, etc.). Use when converting datasets, exporting for training, creating archives, or sharing data in specific formats.
Imports datasets into FiftyOne with automatic format detection. Supports all media types (images, videos, point clouds), label formats (COCO, YOLO, VOC, KITTI), and multimodal grouped datasets. Use when importi...
Writes Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
Run ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also...
Launch and manage D3 (DNA Discrete Diffusion) sampling experiments on SLURM clusters. This skill handles job submission, WandB tracking, and result management for genomic datasets (LentiMPRA, DeepSTARR, Promote...
Documentation et accessibilité concernant le Design System Français (DSFR), un ensemble de composants et de bonnes pratiques pour créer des interfaces utilisateur conformes aux standards du gouvernement françai...
Android Reverse Engineering & Security Analysis skill using JIAP (JADX + MCP). Routes to specialized workflows for App (APK) security auditing or Framework (ROM) vulnerability research.
This skill should be used when the user asks to "research an artist", "analyze [artist] style", "study [song]", "look up [artist] patterns", or wants to explore musical patterns before creating a Suno song. Aut...
Upload a Suno prompt.md file to suno.com using Chrome automation with NO human intervention required. Parses the prompt file, navigates to Suno's Create interface, fills all form fields including sliders (lyric...
This skill should be used when the user asks to "create a Suno prompt", "write a Suno song", "generate music with Suno", "help me with Suno", "make a song prompt", "create lyrics for Suno", "build a music promp...
This skill should be used when the user asks to "review my Suno song", "check Suno prompt quality", "evaluate song lyrics", "review this prompt", "check for AI-slop", "validate my Suno prompt", or wants indepen...
Agent Skill: Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating AI agent documentation, onboarding guides, or standardizing agent patterns. By Netresearch.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include website...
Create non-generic, high-entropy frontend interfaces using Verbalized Sampling (VS) to break mode collapse and maximize design creativity.
Complete deployment system for Holochain hApps with multi-repository coordination, cross-platform builds, and CI/CD automation
This skill should be used when implementing 7-layer Effect-TS architecture patterns, creating standardized services and stores, implementing domain-specific error handling, or validating architectural consisten...
This skill should be used when developing Holochain hApps, setting up development environments, creating zomes, implementing hREA integration, or writing multi-agent tests with Tryorama
Perform complex fault analysis requiring multi-step diagnostics and subtask decomposition. Use when user asks to "troubleshoot", "analyze root cause", "why is network slow", "cannot access server", or needs sys...
Execute simple network status queries that require 1-2 commands. Use when user asks to "check device status", "show interface", "query routing table", "display BGP neighbors", or needs simple read-only informat...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.