moai-alfred-ask-user-questions
Guide Alfred sub-agents to actively invoke AskUserQuestion for ambiguous decisions.
Guide Alfred sub-agents to actively invoke AskUserQuestion for ambiguous decisions.
Invoke IMMEDIATELY via python script to stress-test decisions and reasoning. Do NOT analyze first - the script orchestrates the critique workflow.
Modify OpenAI ChatKit starter to use FastAPI backend instead of OpenAI API, including citation support and error handling.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
This skill should be used when creating chat messages, sending roll results to chat, configuring speakers, implementing whispers and roll modes, or hooking into chat message rendering.
Manage Vite, FastAPI, and Ollama development servers for Gentle Disagree. Use when starting the application, after code changes, when servers crash, verifying servers are running, or troubleshooting errors. (project)
Use when a non-developer user wants to create a new automation tool project. Sets up Python environment, project structure, and CLAUDE.md context file. Guides through environment setup → context gathering → structure initialization in user's preferred language.
Write effective prompts and instructions for AI models and agents. Covers universal techniques plus model-specific guidance for Claude, GPT, and Gemini. Use when writing, reviewing, or adapting prompts for any AI model. Invoke PROACTIVELY when creating system prompts, agent instructions, or optimizing model performance.
Init phase skill. Creates plan directory, request.md, config, and status. Complete initialization in a single agent call.
Self-improving holon implementing Plan→Execute→Assess→Compound workflow loops with explicit knowledge crystallization. Generalizes compound engineering beyond coding to any domain where work produces learnable signals: writing, research, learning, problem-solving, design. Use when: (1) task quality matters and can improve over time, (2) patterns emerge from repeated work, (3) institutional knowledge should accumulate, (4) future tasks should benefit from past learnings, (5) "compound", "learn from", "improve process", "capture learnings", or multi-step workflows with review cycles. Orchestrates parallel research agents, multi-lens assessment, and structured knowledge codification into searchable documentation with YAML frontmatter. Implements λο.τ → λ(ο,Κ).τ where Κ is accumulated knowledge that compounds interest-like over time.
Use when user explicitly requests feedback from other LLM tools (Gemini, Codex) on current work - executes peer reviews in parallel and synthesizes responses into actionable insights
Enables Mini-Agent to integrate directly with VS Code Chat API for seamless AI assistance
Run an isolated Claude Code instance for testing. Use when you need a fresh environment without global CLAUDE.md or parent project settings. Trigger for: sandbox, isolated test, fresh instance, clean environment, test without global config.
Expert Claude Code engineer with deep knowledge of skills authoring, Agent SDK (TypeScript/Python), Claude API, prompt engineering, MCP servers, hooks, slash commands, and tool use. Use when creating skills, building agents, writing hooks, configuring MCP servers, or implementing Claude API integrations.
Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.
Use when starting a Ralph loop and you want guided prompt creation. Asks questions to gather specs, requirements, tech stack, testing needs, and completion criteria before auto-starting the loop.
Voice cloning workflows, voice library management, audio format conversion, and voice settings. Use when cloning voices, managing voice libraries, processing audio for voice creation, configuring voice settings, or when user mentions voice cloning, instant cloning, professional cloning, voice library, audio processing, voice settings, or ElevenLabs voices.
Principles for writing token-efficient, action-oriented instructions to agents. Use when creating agent prompts, rules, documentation, or improving agent communication.
LLM application and RAG system specialist. Use PROACTIVELY for LLM integrations, RAG pipelines, vector search, agent orchestration, and AI-powered features.
Use when working with trait extraction, place enrichment, or the learning loop. Load for understanding how the system learns from gameplay, how traits are extracted from Nominatim + player sessions, async queue processing, and LLM prompt configuration. Covers update_place_traits, pgmq, and edge function flow.
Use to resume a previous Codex conversation. Triggers on "continue codex", "resume codex", "pick up where codex left off", "continue the codex session".