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Found 588 Skills
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
Surfaces top and bottom sellers, identifies seasonality patterns, and produces a 2-week content brief to push winners and clear slow movers. Accepts optional lookback window of 30, 60, or 90 days.
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
Etsy search optimization — long-tail keywords, tag research, competitor analysis, seasonal trends
Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.