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Found 589 Skills
Reset the FPF reasoning cycle to start fresh
Analyzes sales data from PayPal and QuickBooks to find top performers and slow movers, layers in seasonality, and produces a prioritized 30-day content brief: what to push, what offers to run, what to hold. Strategic output only — no calendars or assets. Use when the user asks what to post, wants a content plan, asks what's selling, or what to promote this month.
LLM-based deep iterative search and reasoning service. Specializes in handling complex problems, automatically decomposing queries, conducting multi-round iterative retrieval, evaluating and verifying information, and finally generating comprehensive and structured deep analysis reports.
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.
Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets
A skill for performing web searches, research, and reasoning using the Perplexity API. Handles real-time web information retrieval, deep research analysis, and advanced reasoning tasks. Use when the user asks for web searches, research, or says things like "look up", "search for", "latest information", "research", or "analyze".
NEVER escalate without investigation first. This is the Iron Law. Use when evaluating whether to escalate models, facing genuine complexity requiring deeper reasoning, novel patterns with no existing solutions, high-stakes decisions requiring capability investment. Do not use when thrashing without investigation - investigate root cause first. DO NOT use when: time pressure alone - urgency doesn't change task complexity. DO NOT use when: "just to be safe" - assess actual complexity instead.
Project notes system for preventing AI context loss and reasoning loops. Initialize notes, save notes mid-flow, recover context, migrate messy notes, and resolve lessons. Subcommands: /notebook, /notebook save, /notebook recover, /notebook migrate.
Flutter 프로젝트의 Data 레이어 패턴 — DataSource 인터페이스·구현, Repository, DTO와 도메인 모델 매핑, freezed 모델의 `fromJson`, 그리고 `rxdart`의 `BehaviorSubject`로 만드는 반응형 저장소. "DataSource 만들기", "Repository 구현", "리포지토리", "로컬/원격 데이터 소스", "BehaviorSubject", "스트림 저장소", "DTO 매핑", "fromJson" 같은 표현에 트리거합니다.
App Store Optimization toolkit for researching keywords, optimizing metadata, and tracking mobile app performance on Apple App Store and Google Play Store.
Execute Google Gemini CLI for large-context code analysis, multimodal reasoning, and repository-scale reviews. Also use for delegating tasks requiring 1M token context windows or Gemini-specific capabilities.
Structured multi-step reasoning via Sequential Thinking MCP. Use for complex debugging, architectural trade-offs, or root cause analysis.