computer-vision-skills

In the author's own words, from each skill's SKILL.md.

• draw-vision

  Draw computer vision annotations, labels, and predictions over images and videos using supervision-js in JavaScript/TypeScript or Supervision in Python.

  skills/draw-vision/SKILL.md on GitHub (opens in a new tab)

• roboflow-api-reference

  Protocol-level facts for Roboflow REST and Inference APIs — URL patterns, auth, parameters, error codes, and SDK quick-start. For deployment strategy and Workflow execution patterns, see roboflow-inference.

  skills/roboflow-api-reference/SKILL.md on GitHub (opens in a new tab)

• roboflow-batch-processing

  Use when running a Roboflow Workflow over many images or videos with batch processing — Asset Library jobs (the platform stages workspace images for you) or staged jobs (you stage external local/cloud files with the inference-cli), plus monitoring jobs, downloading results, and routing imports to datasources (bucket mirror) instead.

  skills/roboflow-batch-processing/SKILL.md on GitHub (opens in a new tab)

• roboflow-cloud-storage

  Use when connecting cloud storage (AWS S3 / S3-compatible or Google Cloud Storage) to Roboflow to mirror images into a workspace — creating storage credentials, defining datasources (bucket-mirror configs), selecting objects with glob rules, validating access, and running/scheduling mirror jobs.

  skills/roboflow-cloud-storage/SKILL.md on GitHub (opens in a new tab)

• roboflow-custom-weights-upload

  Use when uploading locally trained model weights (YOLO, RF-DETR, YOLO-NAS, PaliGemma, Florence-2) to Roboflow — the client-side Python SDK upload flow, safe API key handling, per-family packaging requirements, and verifying the upload.

  skills/roboflow-custom-weights-upload/SKILL.md on GitHub (opens in a new tab)

• roboflow-data-management

  Use when uploading images or videos, labeling, organizing datasets, creating Roboflow projects (detection/segmentation/keypoint/classification), tags, splits, versions, or RoboQL search.

  skills/roboflow-data-management/SKILL.md on GitHub (opens in a new tab)

• roboflow-inference

  Deployment option comparison (serverless, dedicated, self-hosted, batch) and Workflow execution patterns. For raw API URL patterns, auth, and request/response formats, see roboflow-api-reference.

  skills/roboflow-inference/SKILL.md on GitHub (opens in a new tab)

• roboflow-model-journey

  Use when a user wants a model that detects, segments, or classifies something without training first. Covers choosing the model, trying it, and putting it on a project's live endpoint (Project Deployment).

  skills/roboflow-model-journey/SKILL.md on GitHub (opens in a new tab)

• roboflow-plans-and-pricing

  Use when answering questions about Roboflow plans, credit usage, or cost estimation; fetches current official pricing and credit rates and fills a fixed response template.

  skills/roboflow-plans-and-pricing/SKILL.md on GitHub (opens in a new tab)

• roboflow-product-navigation

  Use when explaining where Roboflow features live in the app.roboflow.com web app, mapping intents like upload, annotate, train, deploy to specific page URLs.

  skills/roboflow-product-navigation/SKILL.md on GitHub (opens in a new tab)

• roboflow-training-and-evaluation

  Use when training Roboflow models, diagnosing why a model underperforms, improving accuracy, or setting up a production feedback loop — covers architecture selection, model IDs, checkpoints, Model Evaluation (confusion matrix, per-class metrics, MCP eval tools), the diagnosis-first improvement playbook, and Active Learning through the Project Model Workflow block.

  skills/roboflow-training-and-evaluation/SKILL.md on GitHub (opens in a new tab)

• roboflow-universe

  Use when searching for or using public datasets/models on Roboflow Universe (universe.roboflow.com), the open repository of 1M+ computer vision datasets and 50K+ pre-trained models.

  skills/roboflow-universe/SKILL.md on GitHub (opens in a new tab)

• workflow-from-eval

  Build or improve a Roboflow Workflow using eval-driven search. Prefer this for open-ended business problems where the approach is unclear, or when comparing alternatives. A business goal plus images or video is enough to start; no existing Workflow or Eval is required. Build an example suite and scorecard the user approves, compare candidate Workflows, then tune and validate the winner. Use direc…

  skills/workflow-from-eval/SKILL.md on GitHub (opens in a new tab)

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