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Found 844 Skills
Social media intelligence monitoring for Novita. Use when systematically browsing X/Twitter accounts from personal following list (@Jax_Zhang_4R) to gather AI industry intelligence. Performs sequential account review with per-account record keeping (including original tweet links), followed by comprehensive summary. Always use @skills/twitterapi-cli for data retrieval.
Guides users through their first trade on Senpi/Hyperliquid. Walks through discovery (top traders), creating a mirror strategy with a chosen trader, monitoring, and closing the strategy. Use when user says "let's trade", "first trade", "teach me to trade", "how do I trade", or when state is AWAITING_FIRST_TRADE. Can also run when state is not READY (e.g. after entrypoint Step 3); then prompts for wallet funding before starting when needed. Requires Senpi MCP to be connected.
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
Extract structured data from websites. Use when: collecting competitor pricing; scraping product listings; extracting contact information; gathering research data; monitoring website changes
Use when conducting deep analytics on Xiaohongshu accounts, tracking content performance trends, researching influencer data, monitoring category growth, or making strategic decisions with comprehensive social media analytics
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.
Use when monitoring a PR (or a full Graphite stack of PRs) that needs CI fixes or review comment responses. Runs as a long-running session with intelligent sleep intervals. Handles failing checks, reviewer feedback, and pushes verified fixes autonomously.
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, secure logging without sensitive data exposure, environment-specific configuration, log aggregation and monitoring, or validating logging through tests. Part of the skills-for-java project
Find, connect, and use MCP tools and skills via the Smithery CLI. Use when the user searches for new tools or skills, wants to discover integrations, connect to an MCP, install a skill, or wants to interact with an external service (email, Slack, Discord, GitHub, Jira, Notion, databases, cloud APIs, monitoring, etc.).
Real-time monitoring and analytics platform for Pump.fun tokens on Solana using WebSockets, HTML/CSS/JS