backend-dev
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
A conceptual skill for implementing CRUD features driven by Spec-Kit and Claude Code
Interpretive guidance for designing Claude Code sub-agents. Helps apply official documentation effectively and avoid common pitfalls. ALWAYS use when creating or reviewing sub-agents (aka agents or subagents).
Use when a prompt or corpus is long/dense (multi-docs, logs, codebases) and you want a reproducible map/reduce pipeline. Trigger this skill to slice inputs, run per-slice codex/gemini subcalls, and aggregate results with manifests/logs via the slice runner (preferred default), falling back to manual REPL slicing only if needed.
Use when you need to generate game art - sprites, textures, 3D model concepts. Uses FREE HuggingFace AI models.
Autonomous AI coding loop that ships features while you sleep. Use when the user wants to run Ralph, start an autonomous coding session, work overnight, or let Claude implement multiple user stories autonomously. Triggers on "ralph", "autonomous mode", "overnight coding", "autonomous loop", or requests to implement multiple stories without supervision.
BESM 4e NPC/enemy generator. Mirrors the repo's `.claude/commands/design-npc.md`.
Invoke IMMEDIATELY via python script for structured problem analysis and decision reasoning. Do NOT explore first - the script orchestrates the workflow.
Launch an autonomous coding loop that implements features through small, incremental user stories. Use when implementing new features that can be broken into small stories, working on tasks that benefit from iterative refinement, or letting Claude work autonomously on greenfield features with clear acceptance criteria. Not for quick fixes, debugging, or unclear requirements.
Create themed card decks with AI-generated artwork, Puppeteer rendering, and web deployment. Use when asked to make a card deck, playing cards, tarot deck, or similar card-based content.
Design AI-powered immersive NPC systems for escape room games using proven actor techniques from Korean immersive escape rooms (Danpyeonsun, Ledasquare). Implements adaptive dialogue, emotional simulation, player profiling, and trust dynamics using Gemini/GPT-4. Creates character profiles with lying probabilities, improvisational responses, and cost-optimized streaming. Use for murder mystery NPCs, suspect interrogation, or dynamic character interactions.
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
Protocol for cognitive pattern handovers during complex reasoning sessions. Defines .reasoning/ directory structure, handover schemas, and IR-v2 orchestration integration. Use when reasoning sessions require mid-stream pattern transitions, parallel branch merging, state checkpointing, or multi-pattern orchestration. Essential for complex problems where ToT, BoT, HE, or other patterns must hand off work to each other.
Manage game lifecycle, player turns, round rotation, scoring, and game state transitions. Use when implementing game creation, turn management, score updates, and game completion flows in PictionAI.
Human-in-the-Loop pattern library for CopilotKit. Use when implementing approval workflows, user input collection, option selection, or any human interaction patterns. Includes React components and hooks.
Guide for writing and updating Claude Code skills. Triggers on "create skill", "new skill", "update skill", "skill structure". Enforces router pattern and concise documentation.
Bootstrap and initialize any app/module with custom CLAUDE.md, configs, environments, and workflows using Claude Flow wiki templates and examples
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
LangGraph development for stateful multi-agent applications, cyclic workflows, conditional routing, human-in-the-loop patterns, and persistent state management. Use for complex AI orchestration, agent coordination, and production-grade agentic systems.
Model routing configuration templates and strategies for cost optimization, speed optimization, quality optimization, and intelligent fallback chains. Use when building AI applications with OpenRouter, implementing model routing strategies, optimizing API costs, setting up fallback chains, implementing quality-based routing, or when user mentions model routing, cost optimization, fallback strategies, model selection, intelligent routing, or dynamic model switching.
Generates Nano Banana Pro prompts for original character designs. Use when user mentions "キャラクター作成", "キャラデザ", or "オリキャラ".
Embed and initialize OpenAI's ChatKit widget in Rails views. Use when adding ChatKit to a page, configuring the openai-chatkit custom element via data attributes, syncing themes with dark/light mode, handling Turbo navigation, or setting up attachment uploads. Triggers on ChatKit embed, openai-chatkit element, chat widget initialization, or theme sync.