pytorch-model-trainer
Build pytorch model trainer operations. Auto-activating skill for ML Training. Triggers on: pytorch model trainer, pytorch model trainer Part of the ML…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-25 00:14
24,791 results
Build pytorch model trainer operations. Auto-activating skill for ML Training. Triggers on: pytorch model trainer, pytorch model trainer Part of the ML…
Pattern for progressively refining context retrieval to solve the subagent context problem
Guide for implementing HolmesGPT - an AI agent for troubleshooting cloud-native environments. Use when investigating Kubernetes issues, analyzing alerts from…
Comprehensive skill for Sentry error monitoring and performance tracking. Use when Claude needs to (1) Configure Sentry SDKs for error tracking and performance…
Translate an idea across optimization, probability, information theory, dynamical systems, graph theory, and statistics language. Use for interdisciplinary…
When the user wants to design or optimize order fulfillment operations, improve pick-pack-ship processes, or reduce fulfillment costs. Also use when the user…
When the user wants to optimize pick wave planning, schedule warehouse operations, or improve order fulfillment efficiency. Also use when the user mentions…
Create SKILL.md files that teach the agent new domains. Use when authoring a new pi skill with frontmatter, body structure, and references.
Implement Corrective RAG (CRAG) and Self-RAG for reliable, self-healing retrieval systems. Use this skill when building reliable RAG, preventing…
Comprehensive spreadsheet creation, editing, and analysis capabilities, supporting formulas, formatting, data analysis, and visualization. Use when Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc.), including: (1) creating new spreadsheets with formulas and formatting, (2) reading or analyzing data, (3) modifying existing spreadsheets while preserving formulas, (4) data analysis and visualization in spreadsheets, or…
Generate .agents.yml config from user answers. Provides tech stack templates for Rails, Python, Node, and Generic projects.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web…
Chatfuel integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatfuel data.
Flespi integration. Manage data, records, and automate workflows. Use when the user wants to interact with Flespi data.
Lessonspace integration. Manage Spaces. Use when the user wants to interact with Lessonspace data.
Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced…
Generate a self-contained JavaScript server runtime and registration metadata for an MCP codeful tool. Use when the user asks to create a codeful MCP tool,…
Novita AI platform reference for LLM API (OpenAI-compatible), Agent Sandbox, GPU (Instance/Serverless), integrations, auth/billing/pricing/rate limits, and…
Leonardo da Vinci's thinking framework and creative methods. Based on in-depth research from 30+ sources including the Codex Leicester, Vasari's Lives of the Artists, Walter Isaacson's Leonardo da Vinci, Martin Kemp's Leonardo, and Fritjof Capra's The Science of Leonardo, distilling 5 core mental models, 7 life heuristics, and a complete expressive DNA. Use: as a thinking advisor, analyzing creativity, interdisciplinary thinking, observation methods, project man...
Operate the OSMO CLI to discover GPU resources, submit and monitor workflows, debug PENDING/FAILED/stuck workflows, interpret OSMO errors, surface OSMO…
Control Spotify playback and manage playlists via MCP server. Use when user requests playing music, controlling Spotify, creating playlists, searching songs,…
Agent onboarding for Orderly Network - infrastructure overview, agent tools, quickstart, and programmatic broker ID creation via x402
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's…
Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory…