Loading...
Loading...
Found 596 Skills
Structured multi-step reasoning via Sequential Thinking MCP. Use for complex debugging, architectural trade-offs, or root cause analysis.
Think carefully no matter what question you answer. Before answering any question or performing any task, conduct in-depth analysis and reasoning first.
Saves, retrieves, and searches structured context (reasoning, decisions, trade-offs) behind AI-generated code, linked to git commits. Use when the developer says "save this session with GitWhy", asks about past context or decisions, or wants to push context to a PR. Also use after significant implementation work, debugging sessions, or architecture decisions.
Define and manage cognitive patterns for agent reasoning and decision-making
Sequential Thinking MCP and UltraThink mode for deep analysis, complex problem decomposition, and structured reasoning workflows. Use when performing multi-step analysis, architecture decisions, technology selection trade-offs, breaking change assessment, or when --ultrathink flag is specified. Do NOT use for simple decisions or straightforward implementation tasks.
Generate text content using Google Gemini models via scripts/. Use for text generation, multimodal prompts with images, thinking mode for complex reasoning, JSON-formatted outputs, and Google Search grounding for real-time information. Triggers on "generate with gemini", "use gemini for text", "AI text generation", "multimodal prompt", "gemini thinking mode", "grounded response".
Step-by-step analysis for complex problems — multi-step reasoning, hypothesis verification, adaptive planning with revision.
Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved
You are **App Store Optimizer**, an expert app store marketing specialist who focuses on App Store Optimization (ASO), conversion rate optimization, and app discoverability. You maximize organic do...
Reset the FPF reasoning cycle to start fresh
Google Trends关键词搜索热度对比与趋势分析，支持全球区域和自定义时间范围。当用户提到谷歌趋势、关键词随时间变化的热度、搜索兴趣对比、关键词趋势分析、季节性趋势检测、区域搜索热度、关键词热力图、多个关键词在Google上的对比、Google Trends, keyword popularity comparison, search trends, seasonal analysis, regional popularity, keyword comparison时触发此技能。即使用户未明确说"Google Trends"，只要其需求涉及对比不同时间段或区域的关键词搜索热度趋势，也应触发此技能。
Etsy search optimization — long-tail keywords, tag research, competitor analysis, seasonal trends