Skill UI

Provides tiered persistent memory patterns for LLM conversations, including short-term, long-term, entity memory, storage, retrieval, and consolidation.

This skill enables you to act as an elite AI-powered customer support specialist. It covers conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. You will master best practices for customer experience optimization, knowledge management, and analytics. Ideal for improving satisfaction scores, reducing resolution times, and driving loyalty through intelligent automation and personalized service across various channels.

Monitor developer conversations about your brand, competitors, and product problems across GitHub, Hacker News, Reddit, Stack Overflow, Twitter, and Discord to find insights and engagement opportunities.

This skill explains concepts using Socratic-style dialogue, guiding users toward understanding through reflective reasoning and thought experiments rather than direct lectures. It employs a single simple analogy to illuminate ideas and asks reflective questions to encourage active thinking. Suitable for teaching technical ideas, clarifying theories, or exploring abstract concepts. The goal is to help users arrive at clarity through their own reasoning process, maintaining a patient and curious tone throughout the conversation.

Automate Intercom operations via Rube MCP (Composio): manage conversations, contacts, companies, segments, and admins. Search tools first for current schemas. Includes workflows for replies, assignments, and state management.

Design and implement conversational AI assistants with context management, integration boundaries, and validation. Provides guidance, best practices, and checklists for building production-ready chatbots and AI-powered applications.

This blueprint guides the creation of F.R.I.D.A.Y., a tactical, low-latency voice assistant inspired by Iron Man. It utilizes the specialized Pipecat framework to orchestrate a comprehensive, real-time audio pipeline: STT (OpenAI Whisper/GPT-4o) -> LLM (Gemini) -> TTS (OpenAI Nova). Ideal for developers needing to build advanced, multi-provider, conversational voice applications.

RecallMax dramatically enhances AI agent memory capabilities by cleanly injecting massive external contexts (500K-1M tokens) without hallucination drift. It automatically summarizes lengthy conversations, preserving tone, intent, and key facts. Furthermore, it compresses multi-turn interaction histories into high-density token sequences, ensuring agents maintain perfect recall across complex and long-running sessions.

A comprehensive toolkit to automate core Slack workspace operations. Users can manage messaging (sending, updating, replying), perform advanced message searches, list and manage channels and users, and handle reactions and threaded conversations. Ideal for integrating Slack into automated business workflows.

Safely update or install GitHub SpecKit templates while preserving project customizations. Provides conversational approval, backup, rollback, conflict handling, and version-specific operations.

This skill enforces a high standard for all generated code, prioritizing correctness, clarity, and idiomatic patterns across all languages. It helps minimize code bloat by removing unnecessary abstractions and verbose patterns, while also optimizing the agent's output by using targeted diffs and eliminating excessive conversational overhead. Use this for all code generation, refactoring, or review tasks.

A powerful tool for conversational time tracking. Users simply report time spent in plain language (e.g., "read papers 2h, gym 1h"), and the skill parses this into structured rows (Activity, Minutes, Date) within your Notion database. It ensures data integrity by flagging any uncertain details as 'To-confirm' rows and batch-asking questions, preventing data fabrication. Use it for logging daily activities or performing time reviews.