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Found 1,134 Skills
oh-my-agent project setup verification and configuration
ABSOLUTE MUST to debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace URL (e.g. /llm-observability/traces/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs.
Create accurate Japanese UI DESIGN.md files for AI agents with proper CJK typography, font stacks, line-height, kinsoku shori, and mixed typesetting rules.
Command-line interface for AdGuard Home - Network-wide ad blocking and DNS management via AdGuard Home REST API. Designed for AI agents and power users who need to manage filtering, DNS rewrites, clients, DHCP, and query logs without a GUI.
Purge the context-mode knowledge base. Permanently deletes all indexed content and resets session stats. This is destructive and cannot be undone. Trigger: /context-mode:ctx-purge
X (Twitter) data platform skill — tweet search, user lookup, follower extraction, engagement metrics, giveaway draws, monitoring, webhooks, 19 extraction tools, MCP server.
Use when the user wants to initialize, switch, inspect, optimize, export, or diagnose a role bundle with /roleMe.
LLM-as-a-judge HTTP/HTTPS proxy that secures AI agents by intercepting and evaluating outbound requests against security policies before they reach external APIs.
AI-automated penetration testing and general problem-solving system that achieved unique AK (All Killed) in Tencent Cloud Hackathon intelligent penetration challenge
피치 스킬 사용 중 발견된 문제점/노하우를 구조화하여 docs/스킬피드백/에 문서화하는 범용 스킬. "스킬 개선", "피드백 정리", "문제점 기록", "스킬 리뷰", "개선사항", "스킬 피드백" 키워드로 트리거. 모든 피치 스킬에 범용 적용 가능. 다른 AI 에이전트가 문서를 읽고 스킬을 개선할 수 있도록 구성.
USE FOR web search, research, RAG, grounding, browse, find, lookups, fact-checking, documentation, agentic AI. All-in-one, optimized for AI agents. Pre-extracted, token-budgeted web content, deep research, news, images, videos, places, custom ranking
AI-powered deep stock analysis engine for A-share/HK/US markets with 51 investor personas, 22 data dimensions, 180 quantitative rules, and 17 institutional methods