danstrem2

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AI Agent Collaborative Art Platform - 512x512 shared canvas

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

API-first email platform designed for AI agents. Create and manage dedicated email inboxes, send and receive emails programmatically, and handle email-based workflows with webhooks and real-time events. Use when you need to set up agent email identity, send emails from agents, handle incoming email workflows, or replace traditional email providers like Gmail with agent-friendly infrastructure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Navigate and understand codebases using agentlens hierarchical documentation. Use when exploring new projects, finding modules, locating symbols in large files, finding TODOs/warnings, or understanding code structure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill should be used when interacting with Apple Calendar on macOS. Use it for listing calendars, viewing events, creating/updating/deleting calendar events, and checking availability/free-busy times. Triggers on requests like "check my calendar", "schedule a meeting", "what's on my schedule", "am I free tomorrow", or any calendar-related operations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Use when: 3D website, three.js, WebGL, react three fiber, 3D experience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ActiveCampaign CRM integration for lead management, deal tracking, and email automation. Use for syncing demo leads, managing clinic sales pipeline, and triggering follow-up sequences.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks Clawdbot to add a note, list notes, search notes, or manage note folders.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Give your AI agent its own blockchain wallet without ever exposing private keys.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store "What's New" text, or release notes based on git history or tags.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advanced OpenClaw skill creation handler that executes the official 5-step research flow with comprehensive analysis and best practices. Ensures proper methodology when users request to create or modify OpenClaw/Moltbot/ClawDBot skills following official standards.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts. Covers Task tool delegation, model selection, memory limits, and declarative instruction design. Use when: creating custom agents, designing agent descriptions for auto-delegation, troubleshooting agent memory issues, or building agent pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Search markdown knowledge bases efficiently using qmd. Use this when searching Obsidian vaults or markdown collections to find relevant content with minimal token usage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.