OpenClaw
Debridge Mcp
deBridge MCP Skill
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OpenClaw Skills Directory
Browse skills indexed in the OpenClaw directory. Compare categories, descriptions and source files.
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OpenClaw
Debug Checklist
Debug Checklist 系统化 Debug 检查清单
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OpenClaw
Debug Pro
debug pro
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OpenClaw
debug-methodology
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 wh...
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OpenClaw
Decision Memo Writer
Turn long documents, reports, proposals, and email threads into decision-ready memos with key points, risks, open questions, and next steps.
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OpenClaw
decision-expert
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, an...
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OpenClaw
decision-log
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.
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OpenClaw
decision-logger
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...
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OpenClaw
decision-trees
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...
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OpenClaw
decodo-scraper
Search Google, scrape web pages, Amazon product pages, YouTube subtitles, or Reddit (post/subreddit) using the Decodo Scraper OpenClaw Skill.
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OpenClaw
decodo-scraper
Search Google, scrape web pages, Amazon product pages, YouTube subtitles, or Reddit (post/subreddit) using the Decodo Scraper OpenClaw Skill.
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OpenClaw
decompose-mcp
Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.
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OpenClaw
dedao-dl
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 fo...
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OpenClaw
deed
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 p...
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OpenClaw
deen-time
Get daily Islamic prayer (Salah) times, Iftar, and Suhoor schedules for any location worldwide. Supports 15+ calculation methods, Hijri dates, and Ramadan calendars.
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OpenClaw
deep
Implementation of the Dynamic Ethical Entity Personality (D.E.E.P.) v2 Framework. The cognitive architecture for agentic sovereignty and partnership.
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OpenClaw
Deep Search
3-tier Perplexity AI search routing with auto model selection
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OpenClaw
Deep Search
Deep Search 🔍
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OpenClaw
deep-marketing-analyst
Perform deep-dive strategic analysis using cross-platform evidence from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
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OpenClaw
deep-research
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 fo...
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OpenClaw
deep-research
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...
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OpenClaw
deep-research
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、dee...
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OpenClaw
deep-research-orchestrator
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.
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OpenClaw
deep-researcher
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 evi...
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.