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Found 540 Skills
Causal inference specialist for causal discovery, counterfactual reasoning, and effect estimationUse when "causal inference, causal discovery, counterfactual, intervention effect, confounder, structural causal model, SCM, dowhy, causal graph, causal, dowhy, scm, dag, counterfactual, intervention, causalnex, confounding, ml-memory" mentioned.
Use when challenging ideas, plans, decisions, or proposals using structured critical reasoning. Invoke to play devil's advocate, run a pre-mortem, red team, or audit evidence and assumptions.
Guide for creating MCP servers that enhance LLM reasoning through structured processes, persistence, and workflow guidance. Use when building MCP servers for structured thinking, journaling, memory systems, or other cognitive enhancement patterns.
Forces adversarial reasoning before committing to decisions. Triggers on architectural choices, approach selection, and planning phases to prevent premature commitment bias.
Azure OpenAI Service 2025 models including GPT-5, GPT-4.1, reasoning models, and Azure AI Foundry integration
Analyze user/customer feedback and produce a User Feedback Analysis Pack (source inventory, normalized feedback table, taxonomy/codebook, themes + evidence, recommendations, and feedback loop). Use for voice of customer, feature request analysis, support ticket synthesis, churn reason synthesis, and survey open-ends.
First-time Perses setup pipeline: discover or deploy server, configure MCP connection, create initial project, add datasources, and verify connectivity. 4-phase pipeline: DISCOVER, CONNECT, CONFIGURE, VALIDATE. Use when setting up Perses for the first time, connecting Claude Code to an existing Perses instance, or onboarding a new team to Perses. Use for "perses onboard", "setup perses", "connect to perses", "perses getting started". Do NOT use for dashboard creation (use perses-dashboard-create) or server deployment details (use perses-deploy).
Reply.io platform help — multichannel sequences (email, LinkedIn, calls, SMS, WhatsApp), Jason AI SDR, B2B database, email warmup, deliverability tools, unified inbox, analytics, Salesforce/HubSpot integration, agency features. Use when asking 'how do I do X in Reply.io', setting up Reply.io sequences, configuring Jason AI, connecting Reply.io to Salesforce or HubSpot, using Reply.io warmup, or troubleshooting Reply.io deliverability. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Reply.io to other tools via Zapier (use /sales-integration).
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.
UE5 Audio MCP plugin TCP control. Use when sending commands to the Unreal Editor plugin, building MetaSounds graphs via TCP, scanning blueprints, listing assets, or debugging the plugin connection on port 9877.
Creates beautiful, protein-focused weekly dinner menus for families with research capabilities. Generates printer-ready PDFs (8.5x11) with random design styles, identifies leftover opportunities, suggests local restaurants, emphasizes seasonal ingredients, and includes Homemade Pizza Fridays. Use when users want to plan family dinners, create refrigerator menus, or need meal planning assistance.