deBridge MCP Skill

Debug Checklist 系统化 Debug 检查清单

debug pro

Systematic debugging and problem-solving methodology. Activate when encountering unexpected errors, service failures, regression bugs, deployment issues, or when a fix attempt has failed twice. Also activate when proposing ANY fix to verify it addresses root cause (not a workaround). Prevents patch-chaining, wrong-environment restarts, workaround addiction, and "drunk man" random fixes.

Turn long documents, reports, proposals, and email threads into decision-ready memos with key points, risks, open questions, and next steps.

A decision support skill that helps users analyze options, weigh trade-offs, and apply decision frameworks (SWOT, decision matrix, pros/cons, etc.) across various scenarios like shopping, career, investment, and daily life.

AI-powered decision journal for solopreneurs — capture decisions with context, rationale, and expected outcomes, then review them later to learn from what you got right and wrong.

Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.

Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.

Search Google, scrape web pages, Amazon product pages, YouTube subtitles, or Reddit (post/subreddit) using the Decodo Scraper OpenClaw Skill.

Search Google, scrape web pages, Amazon product pages, YouTube subtitles, or Reddit (post/subreddit) using the Decodo Scraper OpenClaw Skill.

Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.

Handles interactions with the dedao-dl CLI tool for downloading and managing content from the Dedao (得到) App. Use when the user wants to list bought courses, ebooks, audiobooks, or download them in various formats (PDF, MP3, Markdown, EPUB).

The Sovereign Asset Title & Ownership Protocol. A high-fidelity cognitive framework for the immutable registration, verification, and transfer of real-world assets (RWA) and synthetic digital estates in the post-scarcity agentic economy.

Get daily Islamic prayer (Salah) times, Iftar, and Suhoor schedules for any location worldwide. Supports 15+ calculation methods, Hijri dates, and Ramadan calendars.

Implementation of the Dynamic Ethical Entity Personality (D.E.E.P.) v2 Framework. The cognitive architecture for agentic sovereignty and partnership.

Deep Search 🔍

3-tier Perplexity AI search routing with auto model selection

Perform deep-dive strategic analysis using cross-platform evidence from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.

Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structured JSON output, adaptive polling. Universal skill for 30+ AI agents including Claude Code, Amp, Codex, and Gemini CLI.

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，最终交付"成品报告文件路径 + 关键结论/建议摘要"。用于：系统性网页/资料调研、竞品/行业分析、批量链接/数据集分片检索、长文写作与证据整合，或用户提及"深度调研/Deep Research/Wide Research/多 Agent 并行调研/多进程调研"等场景。

使用 Gemini Deep Research Agent 进行自主深度研究，生成带引用的详细研究报告。当用户需要深度调研话题、生成研究报告、或需要多轮搜索和分析时使用。触发词：深度研究、deep research、帮我调研、研究一下、写研究报告、deep dive、详细分析。

Plan and orchestrate deep research pipelines for multi-platform ads decision making across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.

Meta-skill for iterative, hypothesis-driven deep research using deepresearchwork, tavily-search, literature-search (Semantic Scholar mapping), and perplexity-deep-search. Use when the user needs multi-round evidence gathering, contradiction resolution, source-quality assessment, and a scientific-style Markdown report with footnotes.