83,201 skills sorted by stars.
Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Prov...
Deep codebase exploration and synthesis using parallel task agents with dynamic planning. Use when asked for "deep analy...
Advanced problem-solving skill using sequential thinking. Use for complex architectural decisions, debugging hard proble...
Deep exploration and synthesis workflow using agent teams with dynamic planning and hub-and-spoke coordination. Use when...
Investigate a game from raw logs, trace bugs to source code, and file detailed issues. Use for deeper debugging than exp...
Deep exploration and synthesis workflow with dynamic planning and hub-and-spoke coordination. Use for deep analysis, dee...
Reusable deep exploration and synthesis workflow. Use when asked for "deep analysis", "deep understanding", "analyze cod...
Deep exploration and synthesis workflow using Agent Teams with dynamic planning and hub-and-spoke coordination. Use when...
Execute high-density analysis on complex ideas/tasks. Move from 'Vague' to 'Verified' by producing: constraints -> core...
Tiefenanalyse eines Problems gemäß der OBERSTEN DIREKTIVE. Verfolgt den vollständigen Datenfluss React-View→tauri-api.ts...
Deep codebase analysis that extracts learnings from documentation. Creates context entries and learnings from docs/ with...
Deep consistency audit of the entire repository infrastructure. Launches 4 parallel specialist agents to find factual er...
Use when brainstorming a product or feature where multiple valid technology choices exist and the wrong one is costly, w...
MUST CHECK FIRST before DeepWiki or any external research. Local-first codebase documentation wikis. **Priority order f...
Prompt này yêu cầu AI đóng vai trò chuyên gia chiến lược marketing và nghiên cứu hành vi khách hàng để phân tích insight...
Multi-agent investigation for stubborn bugs. Use when: going in circles debugging, need to investigate browser/API inter...
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection
Perform exhaustive analysis of a critical IOC. Use when an IOC needs Tier 2+ investigation beyond basic enrichment - inc...
Deep executor mode for complex goal-oriented tasks
プロジェクト内/外部対象に対する構造化された深層分析を提供する読み取り専用ユーティリティスキル。 スキル、機能、OSS、ライブラリ、技術コンセプトなど「これは何？」に対する一貫した回答を提供する。 例: - /deep-explain f...
코드베이스 인덱싱 및 구조 분석. 프로젝트를 스캔하여 모듈별 요약, 의존성 그래프, 진입점 맵을 생성하고 project context를 풍부하게 합니다. Use when onboarding to a new codeb...
Socratic deep interview with mathematical ambiguity gating before autonomous execution
Mathematically rigorous Socratic interview system that drives ambiguity below 20% before any code is written. One questi...
深度调查模式：可以深入调查和分析确定目标的详细信息，并提供完整综合报告
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
Build and train deep neural networks including CNNs, RNNs, Transformers, and advanced architectures. Use for image class...
Universal Links, App Links, and URL scheme configuration.
Universal links and deep linking skill for implementing iOS Universal Links, Android App Links, custom URL schemes, and...
| ID | flutter-deep-linking |
Measures module depth, whether the interface is simple relative to the implementation behind it. Use when a module's int...
Structured clarification before decisions. Use when user is in PLANNING mode, explicitly asks to plan or discuss, or whe...
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W...
Three-stage Chain of Thought (CoT) analyzer for /deep-reasoning page. Performs comprehensive analysis in 3 stages Direct...
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to ca...
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive la...
Run OpenAI deep research to analyze and synthesize web sources into a comprehensive report. Invoked with a research quer...
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
Deep research before design — 3-5 parallel research agents survey papers, production systems, failure modes, and prior a...
深度调研的多Agent编排工作流：把一个调研目标拆成可并行子目标，用 Claude Code 非交互模式（`claude -p`）运行子进程；联网与采集优先使用已安装的 skills，其次使用 MCP 工具；用脚本聚合子结果并分章精修，最终...