LLM & Agents

This skill orchestrates autonomous sprint execution by coordinating subagents to implement GitHub issues serially. It manages the full lifecycle: generating implementation plans via Gemini CLI, delegating implementation to subagents, reviewing PRs with Codex MCP, merging approved code, and running post-merge integration. Use this skill when asked to "run a sprint", "execute sprint issues", "implement issues autonomously", or "manage sprint workflow".

CLAUDE.md file generation and optimization for Claude Code projects. Capabilities: initialize project instructions, analyze codebase context, optimize existing CLAUDE.md, apply Anthropic best practices, reduce token usage, improve effectiveness. Actions: init, create, optimize, enhance CLAUDE.md files. Keywords: CLAUDE.md, project instructions, Claude Code setup, project context, codebase analysis, Anthropic best practices, token optimization, project configuration, AI instructions, coding guidelines, project rules, workspace setup. Use when: initializing CLAUDE.md for new projects, optimizing existing project instructions, setting up Claude Code for a codebase, improving AI coding guidelines.

This skill should be used when the user asks about "API contract", "api-contract.md", "shared interface", "TypeScript interfaces", "request response schemas", "endpoint design", or needs guidance on designing contracts that coordinate backend and frontend agents.

BullMQ and async patterns for Tzurot v3 - Job queue architecture, Discord interaction deferral, idempotency, retry strategies, and error handling. Use when working with jobs or async operations.

Skill 생성/수정/갱신을 지원합니다. prompts/skills/ 작업, "skill 만들어줘", "skill 수정", "skill 확장", "skill에 반영" 요청 시 proactively 사용하세요.

Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-based decision making. Coordinates OpenAI Codex, Google Gemini, and Claude CLIs for opinion collection, peer review, and chairman synthesis.

Best practices for using the Council MCP server in Tzurot v3 development - When to consult external AI, how to structure prompts, model selection, and multi-turn conversations. Use when planning major changes or needing a second opinion.

Use this skill when starting a new project or adding AgenticDev to an existing project. Scaffolds the directory structure (docs/specs, docs/changes) and configuration files needed for the spec-driven development workflow.

Convex backend development patterns, validators, indexes, actions, queries, mutations, file storage, scheduling, React hooks, and components. Use when writing Convex code, debugging Convex issues, or planning Convex architecture.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models, backward-compatible rewrites. Actions: improve, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, prompt optimization, token efficiency, LLM prompt, AI prompt, clarity, structure, system prompt, user prompt, few-shot, chain-of-thought, instruction tuning, prompt compression, token reduction, prompt rewrite, semantic preservation. Use when: improving unclear prompts, reducing token consumption, optimizing LLM outputs, restructuring verbose requests, creating system prompts, enhancing prompt clarity.

Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.

Master orchestration skill for Quest Keeper AI development. Use when working on ANY part of Quest Keeper AI - coordinates between frontend (Tauri/React), backend (rpg-mcp), and documentation. Triggers on any mention of Quest Keeper, rpg-mcp, game development for this project, or when referencing the Agents/ folder.

Documentation standards for README.md and AGENTS.md files - tone, structure, thin AGENTS.md philosophy

Use this skill for early-stage project planning. It leverages the Gemini CLI to generate high-quality first drafts of Product Briefs, Research Documents, and full PRDs, guiding users from idea to validated requirements. Triggers include "create PRD", "product brief", or "validate requirements".

Guide proper usage of Editor UI infrastructure including Drawers (ButtonDrawer, ModalDrawer, TableDrawer, etc.), Elements (drag-drop targets, ComponentSelector), FieldEditors, and EditorUIConstants. Use when implementing editor panels, component editors, or any ImGui UI code to ensure consistency and code reuse.

PostgreSQL and pgvector patterns for Tzurot v3 - Connection management, vector operations, migrations, and Railway-specific considerations. Use when working with database or memory retrieval.

Security best practices for Tzurot v3 - Secret management, AI-specific security (prompt injection, PII scrubbing), Economic DoS prevention, Discord permission verification, microservices security, and supply chain integrity. Use when handling secrets, user input, or security-critical code.

Creates new Agent Skills (SKILL.md + optional scripts/references) that follow the Agent Skills spec. Use when the user asks to create, structure, validate, or improve an agent skill.

Create a comprehensive SEO_STRATEGY.md covering both traditional SEO and Generative Engine Optimization (GEO) for AI platforms. Requires CUSTOMER.md to exist first. Includes platform-specific tactics for Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini with effort/impact prioritization.