Discover lifestyle llm ai skills, compare source repositories and read the instructions for each workflow.
Interview user in-depth about a spec, bead, or feature idea to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, discuss technical details, clarify a feature...
This skill should be used when the user asks to "clarify requirements", "refine requirements", "specify requirements", "what do I mean", "make this clearer", or when the user's request is ambiguous and needs it...
Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.
This skill should be used when the user asks to "analyze session", "세션 분석", "evaluate skill execution", "스킬 실행 검증", "check session logs", "로그 분석", provides a session ID with a skill path, or wants...
This skill should be used when user wants to access, capture, or reference Claude Code session history. Trigger when user says "capture session", "save session history", or references past/current conversation...
This skill should be used when the user asks to "유튜브 정리", "영상 요약", "transcript 번역", "YouTube digest", "영상 퀴즈", or provides a YouTube URL for analysis. Extracts transcript, generates summary/insig...
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
AI-first application patterns, LLM testing, prompt management
Context preservation, tiered summarization, resumability
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API
Guide for creating effective agent skills. Use when you want to create a new skill, improve an existing skill, or learn best practices for skill development. Helps codify learned patterns into reusable, discove...
Always-on rule-oriented guidance for claude-plugin agents. Use to align behavior, tool usage, and model-specific defaults (GPT-5.2-code vs Opus 4.5) while avoiding deprecated bd/cass references.
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
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 to...
Create effective skills for OpenCode agents. Load FIRST before writing any SKILL.md. Provides required format, naming conventions, progressive disclosure patterns, and validation. Use when building, reviewing,...
【HelloAGENTS】显式调用入口。使用 /helloagents 或 $helloagents 激活。
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.