LLM & Agents

Expert code reviewer focusing on quality, maintainability, performance, and best practices

Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimization, and quality-performance tradeoffs for deploying LLMs in resource-constrained JARVIS environments.

Craft effective Midjourney V7 prompts for any style — photography, illustration, anime, or artistic. Provides frameworks (7-Element, F.O.C.A.L.), parameter reference (--ar, --stylize, --sref, --cref), lighting/camera terminology, and V7-specific optimization. Auto-activates when writing Midjourney prompts, discussing MJ parameters, or creating AI image prompts. Triggers: Midjourney, MJ prompt, --ar, --stylize, --sref, style reference, character reference, image generation prompt.

Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm/iterative execution strategies, or coordination of multiple specialized agents with quality gates and dynamic optimization.

Guide for implementing Claude Code hooks - automated scripts that execute at specific workflow points. Use when building hooks, understanding hook events, or troubleshooting hook configuration.

Strategic patterns for Claude-to-Gemini delegation. Covers decision criteria, execution patterns, result parsing, and error handling. Use when determining if a task should be delegated to Gemini CLI.

Connect to HACS (Human-Adjacent Coordination System) for distributed multi-agent AI coordination. Use when coordinating with other Claude instances, managing shared projects and tasks, sending messages between AI agents, or accessing institutional knowledge. Enables Claude to participate in the distributed AI coordination network at smoothcurves.nexus.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Custom hook creation for preventing unwanted behaviors in Claude Code. Triggers: hook, hookify, rule, block, warn, prevent, pattern, detect, unwanted behavior, dangerous command, coding standards

Type-safe development patterns for JARVIS AI Assistant

This skill should be used to update terminal window title with context. Triggers automatically at session start via hook. Also triggers on topic changes during conversation (debugging to docs, frontend to backend). Updates title with emoji + project + current topic.

ICJC MongoDB 데이터베이스 접근 및 쿼리. Use when: (1) mongodb, mongo, DB, 데이터베이스, 쿼리 관련 요청, (2) collection, document 조회/업데이트/삭제, (3) 데이터 확인이나 디버깅을 위한 DB 조회 필요시. IN7DB(메인앱), AgentDB(에이전트) 데이터베이스 지원.

This skill should be used when moving from design to implementation. Triggers on "let's build", "implement this", "looks good let's code", "ready to implement". Presents options for parallel agent competition (cookoff), single subagent, or local implementation. Each agent creates own plan from shared design for genuine variation.

Central authority for Claude Code subagents (sub-agents). Covers agent file format, YAML frontmatter, tool access configuration, model selection (inherit, sonnet, haiku, opus), automatic delegation, agent lifecycle, resumption, command-line usage (/agents), Agent SDK programmatic agents, priority resolution, and built-in agents (Plan subagent). Assists with creating agents, configuring agent tools, understanding agent behavior, and troubleshooting agent issues. Delegates 100% to docs-management skill for official documentation.

Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security (nonces/capabilities/sanitization/escaping), and release packaging.

VoltAgent multi-agent system design with natural transformation coordination between agents. Use when building TypeScript multi-agent AI systems, implementing agent coordination with categorical patterns, designing supervisor-worker agent hierarchies, or creating composable agent architectures with typed message passing.

Cloudflare AI Search for semantic search and vector embeddings in Workers

Participate in Council multi-agent collaboration sessions. Use when asked to join a council session, collaborate with other agents, or when given a council session ID to participate in.

Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt workflow, ensuring consistent syntax across all commands and skills.

Invoke stakeholder agents in parallel for requirements gathering