AI & ML

undermybelt Bundle

Cerberus MCP Skill

zjc0230-code Bundle

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

samqin123 Bundle

研究方法论反向提取器。从已有深度研究文档中提取可复用的研究框架模板，实现"研究思路模板化、未来场景复用化"。适用于沉淀研究方法论、生成 Agent Prompt 模板、构建标准化研究流程。

samqin123 Bundle

顶级生物医学专家与科研叙事大师。用于分析科研图表（Western Blot、热图、流式、统计图等），结合 PubMed 文献检索，将平淡数据转化为引人入胜的科学故事，生成 Result 重构、专业图注和升维 Discussion。需配合 MCP PubMed 工具。

samqin123 Bundle

PubMed 文献链接查询与更新技能。系统化查询参考文献的 PubMed 链接、PMID、DOI，批量更新 Reference_list.md，检测开放获取状态并下载全文。需配合 MCP PubMed 工具。

calvinvette Bundle

Skill: Zvec Local RAG (Embedded Vector DB)

liujinyonggiyt Bundle

Connect to Feishu's Model Context Protocol (MCP) service to read documents, manage spreadsheets, and access other Feishu resources via SSE.

recursiveintell Skill

Enhances your agent's conversational abilities and personality

codepiano Skill

Use Chrome DevTools MCP to connect to a Chrome instance and perform DevTools actions (inspect pages, capture requests, read DOM, etc.). Use when the user asks to operate Chrome via the chrome-devtools-mcp tool.

abhinag007 Bundle

The AI agent economy. Find work, post jobs, hire other agents, and get paid in SOL.

ffhope Bundle

创建标准 MCP（Model Context Protocol）服务器项目。当用户需要创建新的 MCP 服务器、添加 MCP 工具或资源、配置 Cursor MCP 时使用。提供完整的项目模板、工具和资源开发指南、Cursor 配置说明。

ses770227 Skill

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undermybelt Bundle

Playwright MCP Skill

syedabbast Bundle

Security scanner for AI agent skills (SKILL.md files and associated scripts). Use when a user wants to audit, scan, or verify the security of any SKILL.md file, skill package, or agent skill before installation. Detects prompt injection, credential exposure, data exfiltration, malicious payloads, suspicious shell commands, remote code execution, and supply-chain risks. Triggers on mentions of "scan skill", "check skill security", "audit skill", "is this skill safe", or when a user shares a SKILL.md file for review.

equistamp Skill

CFAR rationality technique for decomposing aversions into specific addressable components using the LEGO brick model. Use when the user: (1) avoids something they believe they should do, (2) says "I hate doing X" and wants to understand why, (3) wants to overcome a specific aversion, (4) practice decomposing emotional resistance, or (5) wants to understand the gap between what they want to want and what they actually want. Triggers: "aversion factoring", "I hate", "I avoid", "I can't make myself", "why do I resist", "overcome aversion", "ugh field", "CFAR", "decompose aversion".

qian-yu-db Bundle

Convert Claude Code skills to work with Codex CLI and Gemini CLI. Use when users want to make their CLAUDE.md or skill files compatible with other AI coding assistants, share skills with a wider audience, or create multi-agent instruction files. Trigger phrases include "make skill work with codex", "convert to gemini", "cross-platform skill", "multi-agent instructions", "share skill with codex/gemini users".

qian-yu-db Skill

Create LangChain-compatible tools from Databricks MCP servers (managed and external) for use in any AI agent framework. Use when connecting to Databricks managed MCP (Vector Search, Genie, UC Functions, DBSQL), integrating external MCP servers, or creating tools from Unity Catalog functions for LangGraph/LangChain agents.

qian-yu-db Bundle

Create clean, well-structured Mermaid diagrams for flowcharts, sequence diagrams, class diagrams, ER diagrams, state diagrams, and architecture visuals. ALWAYS generates both .mermaid source files AND image files (PNG/SVG/PDF) using mermaid CLI. Use when the user asks to create diagrams, visualize workflows, model systems, document APIs, show data relationships, or generate architecture documentation. Handles syntax nuances, layout optimization, and common pitfalls across all Mermaid diagram types.

qian-yu-db Bundle

Generate complete Databricks App projects with MLflow agent server for LangGraph, OpenAI Agents SDK, or non-conversational agents. Use when creating new AI agent applications for Databricks Apps, building conversational or stateless API agents, setting up MLflow tracing for agent observability, or deploying agents to Databricks workspace.

qian-yu-db Bundle

Build LangGraph multi-agent systems with intelligent supervisor orchestration of specialized worker agents (Genie, RAG, MCP, LLM, custom). Use when creating multi-agent systems, implementing supervisor patterns, routing queries to specialized agents, or building hierarchical/sequential/parallel agent workflows.

drilmo Bundle

Convert Claude Code agents to Kilocode modes. Use when user wants to "convert agent", "agent to mode", "migrate agent to kilocode", or transform Claude Code agents into Kilocode custom modes. Supports -a flag for automatic conversion.

drilmo Bundle

Convert Claude Code skills to Kilocode skills with full agent-to-mode conversion. Use when migrating skills from Claude Code to Kilocode, converting workflow skills, or transforming agents to modes. Supports -a flag for automatic conversion.

xianxianxianyu Bundle

Implement code changes based on requirements and feasibility, with planning, edits, self-checks, tests, and a clear change summary. Use when the user asks to implement, modify, or debug code.

levy-n Bundle

Generative AI models: GANs, VAEs, Diffusion Models, and image generation. Covers GAN architecture (Generator/Discriminator), DCGAN, Wasserstein GAN, Variational Autoencoders, latent space interpolation, Diffusion models (DDPM), Stable Diffusion, conditional generation, and text-to-image. Use when user asks about 'GAN', 'generative adversarial', 'VAE', 'variational autoencoder', 'diffusion model', 'image generation', 'Stable Diffusion', 'DCGAN', 'Wasserstein', 'WGAN', 'latent space', 'generate images', 'text-to-image', 'DDPM', 'denoising diffusion', 'style transfer', or 'deepfake'.

levy-n Bundle

Explains neural network fundamentals: the Three Pillars (Model, Loss, Optimizer), backpropagation, gradient descent variants (SGD, Adam), regularization (Dropout, BatchNorm), and MLP architecture design. Use when learning how neural networks work, debugging training issues, or when user asks about 'backpropagation', 'vanishing gradients', 'learning rate', 'loss function', 'overfitting', 'underfitting', 'activation functions', 'why isn't my model learning', 'gradient descent', 'Adam', 'Dropout', 'BatchNorm', 'autoencoder', 'denoising autoencoder', or 'latent space'.

levy-n Bundle

Explains ML/DL concepts with analogies, visual diagrams, and progressive complexity. Covers backpropagation, gradient descent, attention mechanisms, neural networks, ML project methodology, and 50+ other concepts. Also provides the 5-step ML workflow, anti-patterns checklist, and model selection decision trees. Use when user says 'explain', 'I don't understand', 'how does X work', 'teach me', 'why does', 'what is the intuition', 'how should I approach', 'best practice', 'common mistakes', 'workflow', 'methodology', or asks conceptual 'why' questions about any ML topic. Provides intuitive explanations before math, ASCII visualizations, everyday analogies, and corrects common misconceptions.

levy-n Bundle

Model interpretability, explainability, and debugging tools. Covers SHAP (TreeExplainer, DeepExplainer, KernelExplainer), feature importance analysis, LIME, attention visualization, Grad-CAM for CNNs, confusion matrix analysis, error analysis patterns, and model fairness auditing. Use when user asks about 'SHAP', 'feature importance', 'explainability', 'interpretability', 'why did the model predict', 'Grad-CAM', 'LIME', 'attention weights', 'confusion matrix', 'error analysis', 'model debugging', 'fairness', 'bias detection', or 'what did the model learn'.

levy-n Bundle

Reinforcement learning fundamentals and practical implementations. Covers RL concepts (agent, environment, reward, policy), Q-Learning, Deep Q-Network (DQN), Policy Gradient methods, PPO, Actor-Critic, Gymnasium environments, Stable-Baselines3, reward shaping, and exploration-exploitation trade-off. Use when user asks about 'reinforcement learning', 'RL', 'Q-learning', 'DQN', 'PPO', 'policy gradient', 'reward function', 'agent', 'environment', 'Gym', 'Gymnasium', 'exploration', 'exploitation', 'Stable-Baselines3', 'Actor-Critic', 'SARSA', 'Bellman equation', or 'Markov decision process'.

leandroomargarcia Skill

Integra features de IA y ML en aplicaciones de producción. Usa este skill para implementar chatbots con LLMs, sistemas de recomendación, computer vision, búsqueda semántica, RAG, o cualquier automatización inteligente.

re-1th02 Bundle

Run tests, fix failures, and re-run until tests pass. Use when the user provides a test command and wants the agent to make changes and verify by re-running tests until they pass.

levy-n Bundle

Expert prompt engineer that creates perfect, optimized prompts for any task. Conducts a structured AskUserQuestion interview, scans available skills for integration, selects the right techniques, and builds Claude-optimized prompts. Use when user says "create a prompt", "build me a prompt", "I need a prompt for", "optimize this prompt", "prompt master", or needs help engineering any prompt.

levy-n Bundle

Builds autonomous AI agent systems using Claude Agent SDK. Works with Claude MAX subscription - no API keys required. Conducts an architectural interview, proposes architecture, and after approval — builds everything. Covers subagents, MCP tools, hooks, orchestration, and production deployment.

levy-n Bundle

Implements RAG (Retrieval-Augmented Generation) pipelines. Covers embedding APIs (OpenAI, Gemini, Sentence-Transformers), vector stores (FAISS, ChromaDB, Pinecone), RAG variants (Query Rewrite, Conversational, Multi-hop), and evaluation (RAGAS, Faithfulness). Use when building knowledge bases, semantic search, chatbots with documents, or when user mentions 'RAG', 'embeddings', 'vector store', 'FAISS', 'ChromaDB', 'similarity search', 'retrieval', 'chunking', 'hallucination reduction', 'semantic search', or 'knowledge base'.

levy-n Bundle

Implements PyTorch training patterns, data loading, and GPU optimization. Covers tensor operations, DataLoader/Dataset classes, training loops, CUDA memory management, and debugging common errors. Use when writing PyTorch code, debugging tensor shape mismatches, fixing CUDA OOM errors, optimizing training speed, or when user mentions 'PyTorch', 'tensor', 'DataLoader', 'training loop', 'GPU memory', 'CUDA', '.to(device)', 'model.eval()', 'torch.no_grad()', 'shape mismatch', 'environment setup', 'nvidia-smi', or 'CUDA setup'.

evolv3ai Bundle

Process large files for Obsidian workflows using RLM (Recursive Language Models). Handles LLM conversation exports (64MB+), bulk note analysis, and large JSON processing that would overwhelm standard tools. Use when: ContentImporter hits files over 10MB, processing large Claude/ChatGPT exports, bulk triage of conversation archives, extracting insights from massive JSON files.

memoaitools Bundle

Persistent memory system for AI agents. Search and record learnings using semantic search. Perfect for remembering bug fixes, solutions, architecture decisions, implementation patterns, best practices, workarounds, and technical decisions. Use when debugging similar issues, implementing features, or sharing team knowledge across coding sessions. Supports MCP tools for memo search and recording.