Навыки: Данные

Apply DE3 decomposition to partition a problem into modular subproblems.

Decompose a phase plan into atomic beads and sub-beads. Use when breaking down a phase into tasks, when the user mention...

Apply DE3 decomposition to split a task into smaller, independent units.

Deconstructs complex problems using the 'Polymath Investor' framework with a 5-step cognitive chain (First Principles →...

Use after writing-plans to decompose monolithic plan into individual task files and identify tasks that can run in paral...

Event deduplication with canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregat...

Advanced problem-solving skill using sequential thinking. Use for complex architectural decisions, debugging hard proble...

Investiga documentación oficial y valida soluciones en internet antes de implementar.

Investigate a game from raw logs, trace bugs to source code, and file detailed issues. Use for deeper debugging than exp...

Execute high-density analysis on complex ideas/tasks. Move from 'Vague' to 'Verified' by producing: constraints -> core...

Deep exploration and synthesis workflow using parallel task agents with dynamic planning and hub-and-spoke coordination....

Reusable deep exploration and synthesis workflow. Use when asked for "deep analysis", "deep understanding", "analyze cod...

Perform complex fault analysis requiring multi-step diagnostics and subtask decomposition. Use when user asks to "troubl...

Advanced problem-solving skill using sequential thinking. Use for complex architectural decisions, debugging hard proble...

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...

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...

2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection

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...

"What is REALLY at stake here? And for whom?" - STOP. When the matter involves trustworthiness, purchasing decisions, "w...

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

Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence model...

Three-pass critical reading framework for systematic document analysis. Supports tech blogs, retrospectives, technical d...

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...

Comprehensive web research with synthesis and actionable insights

Deep research before design — 3-5 parallel research agents survey papers, production systems, failure modes, and prior a...

Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers,...

Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive la...

In-depth research on technical topics using web search, documentation, and codebase analysis. Use when asked to 'researc...

Use when researching complex topics, evaluating technologies, investigating domains, or answering multi-faceted question...

Pesquisa aprofundada com metodologia estruturada

Orchestrates two-round parallel agent research with Exa orientation, breadth-first discovery, and depth-focused synthesi...

OpenAIまたはGoogle Gemini Deep Research APIを使用して深層リサーチを実行する統合スキル。Subcommandアーキテクチャ（start/status/poll/result/list）で長時間リサーチを安...

Deep multi-round web research with query decomposition, iterative refinement, source triangulation, and structured synth...

[Research] Deep-dive into top sources from web-research. Extract key findings, cross-validate claims, build evidence bas...

Run deep research on any topic using parallel AI agents

深度调研的多实例（多 Agent）编排工作流：把一个调研目标拆成可并行子目标，用 Codex CLI（`codex exec`）在默认 `workspace-write` 沙箱内运行子进程；联网与采集优先使用已安装的 skills，其次使用...

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...

Execute autonomous multi-step deep research on any topic. Use when the user asks for comprehensive research, literature...

**深度网络研究**。不仅搜索链接，还会自动访问结果页面，阅读正文，并生成深度整合的综合报告。

Deep research and discovery before building something new. Explores local projects for reusable code, researches competi...

Deep research on technical topics using EXA tools with intelligent two-tier caching. Use when user asks to research a to...

Deep research via Gemini CLI OR free search APIs — runs in background sub-agent to save Claude tokens.

Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technic...

Conduct exhaustive, citation-rich research on any topic using all available tools: web search, browser automation, docum...

Orchestrated multi-source research with parallel agent fan-out. Use for thorough investigation of complex topics requiri...