Dev tools skills.
22,488 dev tools skills, including improve-codebase-architecture, tdd and setup-matt-pocock-skills, are listed on ahel today. Each one has a page of its own that says what it does and whether ahel can serve it in Claude, Claude Code, ChatGPT, Codex and Cursor.
Category: Dev tools
22,488 results · page 593 of 750
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cv-deepsort-majority-vote-relabelSkillDev tools
Run DeepSort on per-frame detections then overwrite each track cluster's label with the most common mapped label across the track's lifetime
Ready to connect★ 61
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cv-dice-lossSkillDev tools
Dice coefficient loss for pixel-level segmentation that directly optimizes the overlap between predicted and ground-truth masks.
Ready to connect★ 61
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cv-dicom-hounsfield-normalizationSkillDev tools
Convert raw DICOM pixel arrays to Hounsfield Units using per-slice RescaleSlope/RescaleIntercept, with outside-scanner clamping
Ready to connect★ 61
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cv-dicom-ipp-z-slice-sortSkillDev tools
Order DICOM slices into a coherent 3D volume by sorting on ImagePositionPatient[2] (the Z coordinate in patient space), with a filename-integer fallback for series whose tag is missing — never trust filename alphabetical order, never trust InstanceNumber
Ready to connect★ 61
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cv-dicom-orientation-detectionSkillDev tools
Decodes MRI scan plane (axial, coronal, sagittal) from DICOM ImageOrientationPatient direction cosine vectors.
Ready to connect★ 61
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cv-dual-view-reshape-forwardSkillDev tools
Reshape dual-view stacked channels into doubled batch dimension for shared backbone, then concatenate with tabular features for classification
Ready to connect★ 61
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cv-efficientdet-headnet-swapSkillDev tools
Load EfficientDet pretrained on COCO with the original 90-class head, then swap in a fresh HeadNet with your own num_classes — keeps the BiFPN feature pyramid pretrained and only retrains the classification head, the canonical transfer-learning recipe for the effdet PyTorch port
Ready to connect★ 61
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cv-epoch-prediction-averagingSkillDev tools
Collect test predictions each epoch via callback and combine with exponentially increasing weights favoring later epochs
Ready to connect★ 61
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cv-exam-level-label-hierarchy-aggregationSkillDev tools
Aggregate per-slice predictions into exam-level labels that satisfy a competition's mutual-exclusion hierarchy (positive vs negative vs indeterminate), using a top-down rule cascade — first decide the exam class, then conditionally rescale the dependent labels so the submission stays internally cons
Ready to connect★ 61
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cv-exam-sequence-padded-mask-lossSkillDev tools
Pad variable-length per-slice sequences to a fixed batch length, carry a 0/1 mask alongside, and multiply per-slice BCE by the mask before reducing — gives correct per-exam loss with batched training and zero contamination from padding tokens
Ready to connect★ 61
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cv-frame-differencing-temporal-encodingSkillDev tools
Encode motion and velocity by computing per-channel pixel differences between consecutive frames instead of stacking raw frames for RL visual observations
Ready to connect★ 61
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cv-frozen-batchnorm-finetuningSkillDev tools
Unfreezes backbone layers for fine-tuning while keeping BatchNorm layers frozen to preserve pretrained running statistics.
Ready to connect★ 61
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cv-gaussian-sphere-target-generationSkillDev tools
Generates 3D segmentation training targets by placing Gaussian spheres at annotated point coordinates.
Ready to connect★ 61
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cv-gem-poolingSkillDev tools
Replaces global average pooling with Generalized Mean (GeM) pooling, using a learnable or fixed exponent to emphasize high-activation regions.
Ready to connect★ 61
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cv-gradient-accumulationSkillDev tools
Accumulates gradients over multiple mini-batches before stepping the optimizer, simulating larger effective batch sizes.
Ready to connect★ 61
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cv-greedy-mask-overlap-resolutionSkillDev tools
Resolve overlapping instance masks by greedily assigning contested pixels to higher-confidence predictions using a running occupancy map
Ready to connect★ 61
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cv-hungarian-matching-detection-evalSkillDev tools
Evaluates 3D object detection by matching predicted and ground-truth coordinates via the Hungarian algorithm, then computing F-beta score.
Ready to connect★ 61
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cv-isotropic-voxel-resamplingSkillDev tools
Resample 3D CT volumes to uniform voxel spacing using scipy zoom, normalizing physical dimensions across scanners
Ready to connect★ 61
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cv-keypoint-aware-raster-augmentationSkillDev tools
Use albumentations keypoint_params to jointly augment BEV rasters and trajectory target points so the spatial transform stays consistent
Ready to connect★ 61
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cv-lateralized-label-flip-tta-disableSkillDev tools
Disable horizontal-flip augmentation (both train-time and TTA) when label columns encode left/right anatomy — flipping silently corrupts the targets because "Left ICA" must map to "Right ICA" after a flip, not stay as "Left ICA"
Ready to connect★ 61
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cv-lovasz-hinge-lossSkillDev tools
Lovasz hinge loss that directly optimizes IoU for binary segmentation by computing a convex surrogate via sorted prediction errors and cumulative Jaccard gradients.
Ready to connect★ 61
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cv-map-iou-precision-sweepSkillDev tools
Compute mean Average Precision by sweeping IoU thresholds from 0.5 to 0.95 on RLE-encoded instance masks using pycocotools
Ready to connect★ 61
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cv-mask-to-polygon-contour-hierarchySkillDev tools
Convert binary segmentation masks to Shapely MultiPolygons using cv2 contour hierarchy to correctly handle interior holes, with Douglas-Peucker simplification
Ready to connect★ 61
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cv-metadata-injection-bottleneckSkillDev tools
Inject scalar metadata (depth, position, clinical features) into U-Net bottleneck via RepeatVector and Reshape for metadata-aware segmentation
Ready to connect★ 61
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cv-morphological-lung-segmentationSkillDev tools
Segment lung regions from CT using HU thresholding, connected-component labeling, and morphological opening
Ready to connect★ 61
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cv-multi-annotator-bbox-consensusSkillDev tools
Merges overlapping same-class bounding boxes from multiple annotators into a consensus box using IoU-based matching and intersection.
Ready to connect★ 61
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cv-multi-window-channel-stackingSkillDev tools
Stack multiple CT window settings (brain, subdural, bone) as separate RGB channels for CNN input
Ready to connect★ 61
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cv-multichannel-to-rgb-adaptationSkillDev tools
Composites multi-channel imagery (microscopy, satellite) into 3-channel RGB for pretrained CNN backbones.
Ready to connect★ 61
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cv-nested-unet-dense-skip-connectionsSkillDev tools
UNet++ dense cross-depth skip connections that propagate deeper decoder features into all shallower decoder levels
Ready to connect★ 61
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cv-numeric-categorical-auto-detectionSkillDev tools
Auto-detect whether a generated data series is numeric or categorical by measuring the fraction of digit characters in the concatenated values
Ready to connect★ 61
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