Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.
Secure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.
Cheatsheet for the Mercury (proton) MCP tools. Use when connected to the Mercury MCP server to look up which mercury_* tool to call for messaging teammates, threads, tasks, automations, or admin team-graph edits.
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.
Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools.
Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.
Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before implementation.
Design secure, multi-tenant LLM hosting platforms with tenant isolation, quotas, billing attribution, noisy-neighbor protection, and per-tenant policy controls.
Search the public web and verify sources with Parallel's free Search MCP. Use when the user chooses Parallel or its connected tools for current information and URL extraction.
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.
Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search.
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
Execute exactly one explicitly assigned YYLO Ledger task through the Ralph loop to a validated queued commit. Use only when the user explicitly requests ralph-loop-yylo.
Use when a supervisor, swarm, graph, planner-worker system, or parallel agent workflow needs review for task boundaries, shared state, branch joins, retries, cancellation, context handoffs, budgets, deadlocks, or human escalation before implementation or production rollout.
Search Google, Bing, Google News and Google Scholar, and read public pages, with the Serply MCP server. Use when the user chooses Serply or its connected tools for current information and source verification.
Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance.
Production readiness checklist for ClickHouse \u2014 server tuning,\
Secure ClickHouse with user management, network restrictions, TLS, and
Execute use when you need to work with query optimization.
Configure ClickHouse enterprise RBAC \u2014 SQL-based users, roles,\
Configure ClickHouse query concurrency, memory quotas, and connection
Implement Snowflake reliability patterns: replication, failover, Time
Collect ClickHouse diagnostic data \u2014 system tables, query logs,\
Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operat...
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