stripe-projects
[ Official ]stripe-projects is a CLI tool for provisioning software stacks, enabling developers to efficiently manage their projects.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
stripe-projects is a CLI tool for provisioning software stacks, enabling developers to efficiently manage their projects.
Applies Anthropics official brand colors and typography to any sort of artifact that may benefit from having Anthropics look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
upgrade-stripe is a skill that assists developers in upgrading Stripe API versions and SDKs, providing a smooth transition and minimizing potential disruptions.
This skill should be used when the user asks to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.
Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to create a skill, write a skill, synthesize sources into a skill, improve a skill fro
Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
Create a git branch following Sentry naming conventions. Use when asked to create a branch, new branch, start a branch, make a branch, switch to a new branch, or when starting new work on the default
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.
bible app that helps you develope a hebrew mindset
Claude Code skill for interacting with running Excel workbooks
Production-ready multi-agent orchestration. Revolutionary architecture for enterprise development automation.