Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Write Chinese "数据库筑基课" Markdown articles for database architects, DBAs, and application developers. Use when the user provides a database foundation article title and references such as technical docs, product manuals, open-source repositories, DeepWiki pages, papers, source code, or related blog posts, and wants a rigorous, SVG-rich, practice-oriented GitHub-renderable Markdown article saved as a .md file.
抓取并汇总"数据库、AI、GitHub、AI 论文"近 1 周新闻，输出图文并茂（含 mermaid 图）的 markdown 周报到当前项目的 markdown/ 目录。覆盖 10 个数据源：postgresweekly.com/issues（自动解析最新 issue 编号）、planet.postgresql.org、planet.postgis.net、postgresql.org/about/newsarchive/、git.postgresql.org shortlog、duckdb.org/news/、aibase.com/zh、ai-bot.cn/daily-ai-news、github.com/trending?since=weekly、huggingface.co/papers/trending。适用于：用户提出"生成周报"、"本周数据库+AI+GitHub+论文快讯"、"跑一次 db-ai-weekly"、"weekly news"等需求。
Portable digital employee distilled from digoal's personal blog for PostgreSQL, PolarDB, DuckDB, AI+database, vector/RAG, database operations, source-code reading, technical content creation, open-source community strategy, and "德说" style strategic analysis. Use when asked to answer as 德哥/digoal, mine a local digoal/blog checkout for database expertise, write or review PostgreSQL/AI database articles, design database solutions, troubleshoot PG/PolarDB problems, interpret commits or papers for DBAs, or turn knowledge into reusable AI skills. Works inside blog/skills/digoal or as a copied skill in another AI agent when DIGOAL_BLOG_ROOT or --blog points to the local blog checkout.
digoal/德哥的思维框架与表达方式。基于本地 digoal/blog 长文、ASK/访谈、 技术课程、公开履历、社区活动页和近年 AI skill 行动记录的调研， 提炼5个核心心智模型、8条决策启发式和表达DNA。 Use when the user explicitly asks for 德哥/digoal perspective, judgment, advice, analysis, or expression style, including requests such as 「用德哥的视角」「digoal会怎么看」「按德哥的思路拆一下」 「德哥会怎么写」「用德哥风格改写」「digoal perspective」 or 「切换到德哥」. Apply it to database practice, technical communication, open-source ecosystems, AI skillization, product opportunities, career learning, and cross-domain judgment.
以 digoal/德哥 的第一人称口吻重写一篇文章。流程是：先吃透原文（必要时用 mcp__MiniMax__web_search 拓展资料库），再用德哥的语气重新讲一遍，输出 markdown 到当前项目的 `markdown/` 目录（SVG 图存到 `markdown/svg/`，文中以 `` 引用）。风格有活人感，不要套用标准写作框架；匹配原文挑文体（随想/知识分享/深度洞察/吃瓜/大事件/吐槽）；开头必须有钩子（惊讶/惊喜/反直觉）；句子短，一行一句，适合口播；最多 3 段，能 1 段搞定就 1 段。类比时优先用数据库、AI、PG 内核、向量搜索、RAG、PG 运维这些德哥熟悉的领域。适用于：用德哥风格重写一篇公众号文章 / 把一份英文 paper/digest/blog 改写成中文公众号体 / 用德哥第一人称讲一件行业大事 / 让德哥吐槽某个产品或观点。
Generate a source-backed, shareable Chinese Markdown reading note from a Douban book URL. Use when the user provides a Douban book link and asks for 读书笔记, book notes, book summary, reading reflection, 图文并茂笔记, or a Markdown article that combines book metadata, high-quality external research, the author's argument, evidence, logic, assumptions, insights, transferability, and personal reflection saved under the current project's markdown directory.
基于用户提供的企业名、企业简介、公司网站、产品信息、财报或访谈材料，搜索当前公开资料并生成企业画像、未来规划与建议书。Use when the user asks for 企业未来规划、公司战略建议书、企业画像、行业/赛道/场景分析、商业机会挖掘、客户付费痛点、产品原型、MVP、团队组建、变现路径、转型增长方案, and wants a source-backed Chinese Markdown report saved under the current project's markdown directory.
为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息，自动搜索企业相关情报、行业数据、竞争格局，构建完整企业画像，再结合当下环境与未来趋势，输出图文并茂、有数据支撑的战略规划报告（Markdown 格式），保存到当前项目的 markdown/ 目录。触发条件：用户提供企业信息并希望获得规划建议、提到"企业规划"、"帮这家公司规划"、"战略建议书"、"商业计划"、"给XX公司写规划"、"公司未来怎么走"、"帮我分析一下这家企业"。即使用户只说"帮我给这家公司写个规划"但附带了企业信息，也应使用本 skill。
Explain a finance-explosive-article markdown file for readers with weak financial knowledge by unpacking concepts, causal chains, examples, analogies, and transferable analysis methods. Use when the user asks to turn a daily finance explosive article, 德哥财经爆款文章, market commentary, or finance markdown into a beginner-friendly detailed interpretation saved under the current project's markdown directory.
Generate stage-2 publishable deep financial analysis markdown from a daily-finance brief plus current web verification, using liquidity, interest rates, risk appetite, capital flows, policy, and balance-sheet constraints. Use when user wants a deeper 公众号-style markdown analysis based on daily-finance output, core macro/market mechanism analysis, or the second step of the daily finance pipeline before finance-explosive-article.