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Testing & security AI Skills

Discover Testing & security skills, compare source repositories and read the instructions for each workflow.

Categories: Testing & security

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GitHub

verify-training-pipeline

kungfuai

Verify a CVlization training pipeline example is properly structured, can build, trains successfully, and logs appropriate metrics. Use when validating example implementations or debugging training issues.

GitHub

serverless-aws

stevenmays

Patterns for AWS Lambda, DynamoDB, SQS, and Secrets Manager. Use when working on serverless AWS projects.

GitHub

writing-style

stevenmays

Write in Steven's voice—pragmatic, curious, pedagogical. Opens with measurable payoffs, builds mental models from first principles, uses worked examples, and handles uncertainty honestly. Use for essays, blog p...

GitHub

code-research

daliusd

Expert code research using GitHub CLI for repository discovery, code search, and deep analysis

GitHub

wds

daliusd

Build React UIs using Wix Design System with local documentation

GitHub

tanstack-start-best-practices

DeckardGer

TanStack Start best practices for full-stack React applications. Server functions, middleware, SSR, authentication, and deployment patterns. Activate when building full-stack apps with TanStack Start.

GitHub

tanstack-query-best-practices

DeckardGer

TanStack Query (React Query) best practices for data fetching, caching, mutations, and server state management. Activate when building data-driven React applications with server state.

GitHub

tanstack-router-best-practices

DeckardGer

TanStack Router best practices for type-safe routing, data loading, search params, and navigation. Activate when building React applications with complex routing needs.

GitHub

jbct

siy

Java Backend Coding Technology skill for designing, implementing, and reviewing functional Java backend code. Use when working with Result, Option, Promise types, value objects, use cases, or when asked about J...

GitHub

fix-all

siy

Fix ALL issues found in the preceding review. Thorough, relentless, complete.

GitHub

jbct-review

siy

Thorough parallel JBCT code review. Launches 10 focused reviewers plus aggregator for comprehensive compliance checking.

GitHub

fiftyone-model-evaluation

voxel51

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...

GitHub

fiftyone-find-duplicates

voxel51

Finds duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when deduplicating datasets, finding similar images, or removing redundant samples.

GitHub

fiftyone-embeddings-visualization

voxel51

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.

GitHub

fiftyone-develop-plugin

voxel51

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.

GitHub

fiftyone-issue-triage

voxel51

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.

GitHub

fiftyone-dataset-export

voxel51

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.

GitHub

fiftyone-dataset-import

voxel51

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...

GitHub

fiftyone-code-style

voxel51

Writes Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.

GitHub

fiftyone-dataset-inference

voxel51

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...

GitHub

sampler

anirbansarkar-cs

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...

GitHub

design-system-franais-dsfr

numerique-gouv

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...

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