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Found 884 Skills
Harden configuration and defaults for safer deployment. Use when a mid-level developer needs to reduce misconfig risks.
Generate nested AGENTS.md coding guidelines per module (monorepo-aware), detect languages/tooling, ask architecture preferences, and set up missing formatters/linters (Spotless for JVM). Use when the user wants module-scoped AGENTS.md coding guidelines or to set up missing formatters/linters.
Assess and prioritize tech debt items. Use when a senior developer needs an investment plan for debt reduction.
CopilotKit integration patterns for providers, runtime wiring, `useCoAgent`, `useCopilotAction`, `useLangGraphInterrupt`, shared state, and HITL with LangGraph. Use when building agent-native product UX.
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
Review and design SaaS/product marketing sites and frontend interfaces end-to-end: clarify value, fix hierarchy, and implement distinctive, production-grade UI that avoids generic AI aesthetics.
This skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or runs /create-pr or /pr-creator commands.
A Web/JS reverse engineering case knowledge base extracted from 42 articles across the entire 1997.pro site. It applies to case clues such as Akamai/Kasada/PX/reese84/TongDun/a_bogus/Tencent slider/Alibaba slider/JSVMP/227/226/wasm/protobuf/rid/fuid/fs/bx-pp/run_js/storage.estimate/animationend, as well as scenario judgment, method routing and case comparison for risk control fingerprints, environment patching, JSVMP/flat flow/WASM, captchas, and protocol parameter chains; it is used in collaboration with web-js-reverse-master-flow and three MCPs: jshook + js-reverse + chrome-devtools-mcp by default.
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Generate or edit images using Google Gemini API via nanobanana. Use when the user asks to create, generate, edit images with nanobanana, or mentions image generation/editing tasks.
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
Scout price discrepancies between Polymarket and Kalshi for discovery and comparison. Read-only; no execution.