[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-microsoft-skills-174-ai-coding-skills-zh":3,"article-related-microsoft-skills-174-ai-coding-skills-zh":38,"series-tools-1dd2b6c7-15a2-4d22-8a24-f6d12b4ec78d":91},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":21,"translated_content":10,"views":22,"is_premium":23,"created_at":24,"updated_at":24,"cover_image":11,"published_at":25,"rewrite_status":26,"rewrite_error":10,"rewritten_from_id":27,"slug":28,"category":29,"related_article_id":30,"status":31,"google_indexed_at":10,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":32,"topic_cluster_id":36,"embedding":37,"is_canonical_seed":23},"1dd2b6c7-15a2-4d22-8a24-f6d12b4ec78d","Microsoft 開源 174 個 AI 編碼技能","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa> 開源了 174 個 AI 編碼技能，讓 agent 在寫 Azure SDK 和 Foundry 程式時，先載入對的專案脈絡再動手。\u003C\u002Fp>\u003Cp>說真的，這東西蠻實際。不是再塞一個萬能 prompt，而是把任務拆細。你可以直接用 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\" target=\"_blank\" rel=\"noopener\">microsoft\u002Fskills\u003C\u002Fa> 這個 GitHub repo，讓 \u003Ca href=\"\u002Ftag\u002Fai-coding\">AI coding\u003C\u002Fa> agent 先吃進對的規則，再開始產 code。\u003C\u002Fp>\u003Cp>目前 repo 裡面已經有 \u003Cstrong>174\u003C\u002Fstrong> 個 skills。還有可安裝模板、\u003Cstrong>AGENTS.md\u003C\u002Fstrong> 範本，和 \u003Cstrong>\u003Ca href=\"\u002Fnews\u002Fwhy-pi-mcp-adapter-is-the-right-way-to-use-mcp-zh\">MCP\u003C\u002Fa>\u003C\u002Fstrong> 設定。對開發者來說，意思很簡單。少一點猜測，多一點上下文。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數字或細節\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>技能總數\u003C\u002Ftd>\u003Ctd>174\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>快速安裝指令\u003C\u002Ftd>\u003Ctd>\u003Ccode>npx skills add microsoft\u002Fskills\u003C\u002Fcode>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GitHub stars\u003C\u002Ftd>\u003Ctd>2.3k\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Forks\u003C\u002Ftd>\u003Ctd>261\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>最近提交數\u003C\u002Ftd>\u003Ctd>564\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Microsoft 到底在賣什麼\u003C\u002Fh2>\u003Cp>這個 repo 不是只丟一堆 prompt 給你。它把 skills、plugins、角色型 agents、\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002FAgents.md\" target=\"_blank\" rel=\"noopener\">Agents.md\u003C\u002Fa> 範本，還有 MCP server 設定都包進來。講白了，就是要讓 agent 直接進入工作狀態，不要每次都從零猜。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779035059510-ydmo.png\" alt=\"Microsoft 開源 174 個 AI 編碼技能\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這件事很像你請一個很會寫 code 的新同事進團隊。你不會叫他自己猜公司規範。你會先給他文件、範例、lint 規則，還有資料夾結構。Microsoft 現在就是把這套流程搬到 \u003Ca href=\"\u002Ftag\u002Fai-agent\">AI agent\u003C\u002Fa> 身上。\u003C\u002Fp>\u003Cp>而且它還有一個 skill explorer。開發者可以只裝單一 skill，不用把整包資料灌進 context。這點很重要。因為 LLM 不是記憶體無限大，Token 也不是免費的。\u003C\u002Fp>\u003Cul>\u003Cli>核心 skills 包含雲端架構、GitHub issue、前端審查、MCP server。\u003C\u002Fli>\u003Cli>語言套件有 Python、.NET、TypeScript、Java、Rust。\u003C\u002Fli>\u003Cli>Foundry 相關 skills 涵蓋 projects、hosted agents、toolboxes、workflows。\u003C\u002Fli>\u003Cli>也有治理、記憶、觀測性這類偏系統面的項目。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼 Microsoft 反而叫你別全載\u003C\u002Fh2>\u003Cp>這裡很有意思。Microsoft 直接提醒你，不要一次載入全部 skills。因為太多會造成 context rot。翻成白話，就是注意力被稀釋，Token 被浪費，模式還會互相打架。\u003C\u002Fp>\u003Cp>這種講法很誠實。很多團隊在玩 AI 工具時，都會犯一個毛病。以為上下文越多越好。結果不是。上下文太雜，模型就容易抓錯重點。你給它 174 個規則，它可能一條都沒好好吃進去。\u003C\u002Fp>\u003Cp>所以最佳做法不是全開，而是按任務裝。你要做 Cosmos DB，就裝 Cosmos 相關 skill。你要做 MCP server，就用 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\" target=\"_blank\" rel=\"noopener\">mcp-builder\u003C\u002Fa>。你要設計 agent 行為，就看 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002FREADME.md\" target=\"_blank\" rel=\"noopener\">skill-creator\u003C\u002Fa> 的說明。\u003C\u002Fp>\u003Cblockquote>“The patterns are already in their weights from pretraining. All you need is the right activation context to surface them.” — Microsoft, \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\" target=\"_blank\" rel=\"noopener\">microsoft\u002Fskills README\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cp>這句話很直白。Microsoft 的意思是，模型本來就學過很多模式。缺的不是更多廢話，而是對的啟動脈絡。這也解釋了為什麼 agent 工具現在越來越像「配置問題」，而不是單純「模型大小問題」。\u003C\u002Fp>\u003Cp>我覺得這方向很務實。因為對大多數團隊來說，真正卡住的不是模型不會寫，而是它寫得不夠像你們團隊。規範、框架版本、資料夾慣例，這些才是日常最煩的地方。\u003C\u002Fp>\u003Ch2>這個 catalog 怎麼分層\u003C\u002Fh2>\u003Cp>整個 catalog 分得蠻清楚。先是語言無關的核心 skills，再來是 Foundry skills，接著是 Python、.NET、\u003Ca href=\"\u002Ftag\u002Ftypescript\">TypeScript\u003C\u002Fa>、Java、\u003Ca href=\"\u002Fnews\u002Frust-hiring-hn-may-2026-roundup-zh\">Rust\u003C\u002Fa> 這些語言包。這種分法很像在幫 agent 做模組化安裝。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779035057742-5lx1.png\" alt=\"Microsoft 開源 174 個 AI 編碼技能\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另外，repo 也放了幾組預設 MCP 設定。像是 docs、GitHub、browser automation。這表示你不用每次都自己從頭接工具。對習慣寫自動化腳本的人來說，這種現成配置省很多時間。\u003C\u002Fp>\u003Cp>更有趣的是，裡面不只有單純補 code 的 skill。還有 hosted agents、agent identity、managed memory、observability、multi-agent workflows。這代表 Microsoft 把 agent 當成一個系統在看，不只是 autocomplete 的加強版。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Foundry skills：\u003C\u002Fstrong>11 個，涵蓋 projects、models、toolboxes、治理。\u003C\u002Fli>\u003Cli>\u003Cstrong>Python skills：\u003C\u002Fstrong>39 個，是目前最多的語言包。\u003C\u002Fli>\u003Cli>\u003Cstrong>.NET skills：\u003C\u002Fstrong>28 個。\u003C\u002Fli>\u003Cli>\u003Cstrong>TypeScript skills：\u003C\u002Fstrong>25 個。\u003C\u002Fli>\u003Cli>\u003Cstrong>Java skills：\u003C\u002Fstrong>25 個。\u003C\u002Fli>\u003Cli>\u003Cstrong>Rust skills：\u003C\u002Fstrong>7 個。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>跟 Copilot、Continue、其他 agent 比，差在哪\u003C\u002Fh2>\u003Cp>這個 repo 很明顯是給 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\" target=\"_blank\" rel=\"noopener\">GitHub Copilot\u003C\u002Fa> 這類工具準備的，尤其是 Copilot CLI 和 VS Code 場景。但它不只綁 GitHub。文件裡也提到可以分享給其他 agent 設定，像 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue\" target=\"_blank\" rel=\"noopener\">Continue\u003C\u002Fa> 這種本地 agent 流程也能用。\u003C\u002Fp>\u003Cp>這點很重要。因為很多公司不想被單一工具綁死。今天用 Copilot，明天可能換內部 agent。若 skills 可以跨工具搬移，這套東西的價值就不只是一個 repo，而是變成可攜式知識包。\u003C\u002Fp>\u003Cp>安裝流程也做得很短。\u003Ccode>npx skills add microsoft\u002Fskills\u003C\u002Fcode> 這種指令，對工程團隊來說很友善。再加上 symlink 範例，表示它有考慮多專案共享同一套技能的需求。這種細節，通常才是工具能不能落地的分水嶺。\u003C\u002Fp>\u003Cul>\u003Cli>對 Azure SDK 開發者：減少亂猜 API 用法。\u003C\u002Fli>\u003Cli>對 Foundry 團隊：讓 agent 更懂平台規則。\u003C\u002Fli>\u003Cli>對多專案團隊：可以共享技能，不用複製貼上。\u003C\u002Fli>\u003Cli>對本地 agent：也能用同一套脈絡設定。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>這跟 AI 編碼工具市場的脈絡有關\u003C\u002Fh2>\u003Cp>這波不是單純多一個 repo 而已。它反映的是一個很現實的趨勢。大家開始從「模型會不會寫」轉向「模型懂不懂你的專案」。這差很多。\u003C\u002Fp>\u003Cp>過去很多 AI coding 工具都主打補全速度、推理能力，或是 benchmark 分數。現在越來越多團隊在意的是，能不能吃進 repo 規範、能不能接 MCP、能不能照公司寫法出 code。說白了，實戰才是重點。\u003C\u002Fp>\u003Cp>這也解釋了為什麼 Microsoft 把 skills、\u003Ca href=\"\u002Fnews\u002Faws-agent-toolkit-coding-agents-zh\">Agen\u003C\u002Fa>ts.md、MCP、Foundry 全部串在一起。它不是只想讓你寫得快，而是想讓 agent 寫得像真的在你團隊裡工作。\u003C\u002Fp>\u003Cp>如果拿競品來看，\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 的 \u003Ca href=\"https:\u002F\u002Fdocs.anthropic.com\u002Fen\u002Fdocs\u002Fclaude-code\" target=\"_blank\" rel=\"noopener\">Claude Code\u003C\u002Fa> 走的是另一條路，重點放在本地工作流和終端機操作。OpenAI 的 \u003Ca href=\"https:\u002F\u002Fplatform.openai.com\u002Fdocs\u002Fassistants\" target=\"_blank\" rel=\"noopener\">API\u003C\u002Fa> 路線則偏向讓你自己組裝 agent。Microsoft 這次比較像是直接提供一包官方知識底座，讓你少走冤枉路。\u003C\u002Fp>\u003Ch2>這對台灣開發團隊有什麼用\u003C\u002Fh2>\u003Cp>如果你在台灣做軟體，我覺得這類工具最實際的價值，不是炫技，而是減少溝通成本。很多團隊都有自己的框架版本、部署規則、資料命名方式。AI 如果不懂這些，寫再快也只是製造後續修 bug 的成本。\u003C\u002Fp>\u003Cp>尤其是 Azure、.NET、TypeScript、Java 這幾個生態，在企業環境很常見。Microsoft 把技能拆成細項，就很適合用在內部平台團隊、SRE、雲端遷移、或是新人成長訓練。你不用每次都從頭教 agent 一次。\u003C\u002Fp>\u003Cp>更現實一點，這種 repo 也會影響團隊怎麼管理知識。以前文件是給人看的。現在文件也要給 agent 看。這代表 README、範例、規範、測試，都要寫得更清楚，不然 AI 只會把模糊變成更快的模糊。\u003C\u002Fp>\u003Ch2>接下來可以怎麼看\u003C\u002Fh2>\u003Cp>目前 repo 還標示在持續更新中。Microsoft 也說會持續補技能、更新 SDK 模式、增加測試。這很正常，因為 agent 工具的壽命很吃版本管理。今天有效的 skill，明天可能就跟新版 SDK 打架。\u003C\u002Fp>\u003Cp>我會建議團隊先從最常用的 1 到 3 個 skill 開始，不要一口氣全裝。先測它在你們專案裡會不會真的少出錯，再決定要不要擴大。這比把 174 個技能全丟進去實際多了。\u003C\u002Fp>\u003Cp>如果你們現在也在用 AI coding assistant，我會直接問一句：你們是讓模型自己猜，還是先幫它把專案規則講清楚？這次 Microsoft 的答案很明白。先把脈絡放對，code 才比較像樣。\u003C\u002Fp>","Microsoft 開源 174 個 AI 編碼技能與 agent 設定，讓 GitHub Copilot、MCP 與 Azure SDK 更懂專案脈絡，少一點亂猜。","github.com","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779035059510-ydmo.png",[13,14,15,16,17,18,19,20],"Microsoft","AI 編碼技能","GitHub","Copilot","MCP","Azure SDK","AI agent","Foundry","zh",2,false,"2026-05-17T16:23:51.29023+00:00","2026-05-17T16:23:51.175+00:00","done","14572bd8-f8a9-44a3-b8db-081645d5a685","microsoft-skills-174-ai-coding-skills-zh","tools","5d28ea54-70c6-408b-a38d-9a0bfbd8c28a","published",[33,34,35],"Microsoft 開源 174 個 AI 編碼技能，重點是讓 agent 先吃進專案脈絡。","repo 內含 AGENTS.md、MCP 設定與語言套件，適合 Azure 和 Foundry 團隊。","官方也提醒別全載，因為上下文太多會讓輸出品質變差。","c3c88dd2-a940-438a-b359-0e5a24562273","[-0.026664231,0.0026724134,0.021899303,-0.06958732,-0.024949448,-0.0022286098,-0.011472969,0.016447976,0.0016817892,0.008722364,-0.009175846,-0.027869912,0.013384429,-0.016254414,0.11751189,-0.0161467,0.014410638,0.01682779,0.0039958246,-0.008401506,0.014505896,0.029776344,0.0006241734,-0.015304393,-0.01439217,-0.026181117,0.022226121,0.015630914,0.052316908,-0.007941167,-0.0016810871,0.0079686865,0.010455403,0.003642119,0.0053359903,0.013502844,0.02104516,-0.010719265,0.014294019,-0.010594498,-0.022788288,0.013518208,0.001072859,-0.012421027,-0.007903894,0.016695825,0.00021074984,-0.020933675,-0.0388218,0.014394669,-0.0020250618,0.027210865,0.008847942,-0.14178918,0.022940878,0.009268371,-0.018518906,0.009019771,0.021298224,0.0098328525,0.009509222,0.032157227,-0.03576829,-0.034716375,-0.018546535,-0.02208716,0.013545258,0.0008024673,-0.005412703,-0.012198585,-0.02047705,0.020073375,0.010379608,-0.030391494,0.00013431064,-0.006018521,-0.017147882,-0.039167594,-0.0041413195,0.028631736,0.016147938,-0.012220833,0.017998926,0.004427274,-0.008140907,0.003502265,-0.0046569286,-0.023447696,0.005694814,0.016138468,0.022674033,0.02832233,0.019803775,-0.0062863366,-0.019658098,-0.01696508,-0.00031730768,-0.0071759517,0.019956248,-0.016105939,0.0038514459,-0.051068835,0.0038228221,0.001471588,0.011266044,-0.009956354,0.0010590348,0.00076649373,-0.009135207,-0.0031357277,0.023789573,-0.040219236,-0.010295191,0.022280026,0.006612911,-0.12999687,0.0117583005,0.0012915286,0.0014894118,0.04782999,-0.02602868,0.010916418,-0.011024117,0.043647133,-0.014269875,-0.012307299,-0.005032236,0.002885382,-0.024493711,0.015259589,-0.013080724,-0.004428363,-0.00937381,-0.0020365303,-0.018883862,0.012878425,0.0069788154,-0.012640831,-0.03626675,-0.025088625,0.0056909667,0.010359507,0.0002592572,-0.02215276,-0.048191905,-0.0014775177,-0.019238053,0.023524994,0.0019007353,-0.0021100699,0.008216241,-0.03227863,-0.011883031,-0.017807834,-0.008129007,-0.029779749,0.008451711,0.010161465,0.014562439,0.0062302356,-0.0040131495,-0.004693432,-0.010370694,0.007508875,0.017815167,0.0043987213,-0.0033504055,-0.0033155289,-0.015122305,-0.008642017,0.0032415418,-0.0056084464,0.0064077163,0.03122326,0.0026104758,-0.009882034,0.0023946913,0.0044610123,0.019524688,0.004384874,0.00016775096,0.0051985974,-0.008217384,0.008374687,-0.014752754,-0.005057123,-0.025065359,0.005499072,0.024265107,0.001135855,0.0018803114,0.008507573,0.026857127,-0.012924814,-0.002440867,-0.03208491,-0.0007808935,-0.0052090026,-0.002906836,0.023169259,0.00060647755,0.003038591,0.013702618,-0.05724086,0.023272343,-0.0133693945,-0.016565157,-0.025666013,0.0026396313,-0.015553733,-0.024575405,0.009951106,0.013187088,0.0004917011,-0.014155981,-0.019812569,-0.022956034,-0.0060729505,0.012464699,-0.036108457,0.011457554,-0.009755292,0.01607988,0.010620586,0.0009962113,-0.019274734,-0.015332876,-0.022632418,-0.022796437,-0.008969702,0.018453166,-0.008341757,-0.009163427,-0.0073934733,-0.020324264,-0.024072034,-0.0075254403,0.0016956935,0.014486111,0.014319838,-0.03144839,0.03105767,0.0023363372,0.026623907,0.0282974,-0.026286164,-0.010478389,0.007114932,-0.026042586,0.010751796,-0.017237166,0.004208492,-0.013188689,0.008543419,0.0012869082,0.010535257,0.002534828,0.029636255,-0.024894094,0.00079941994,0.015014562,-0.0027149438,-0.0101684695,-0.008102891,0.007080679,0.008210188,0.0065044854,0.01742301,-0.025483109,0.0014641265,-0.013548296,0.028399386,0.026943918,-0.0009897955,0.016242815,-0.008619851,-0.07635619,0.030880623,0.0046795765,-0.020740168,0.016939651,-0.0010235707,-0.005166651,0.0076011685,-0.01641471,-0.012030207,-0.016252825,0.011416337,0.0013753369,-0.023455909,-0.0061289985,0.020755325,-0.024232471,-0.0009586846,-0.020843739,-0.033915956,-0.0052211857,-0.0036063902,0.0014136226,-0.0012265661,-0.003108114,-0.015586798,0.034164745,0.04428734,-0.017853625,-0.0030987374,0.001974701,0.025881309,0.013095536,-0.008248602,-0.020220026,-0.025025072,0.0018279961,-0.010364449,0.0018646432,0.0013311465,-0.008021722,-0.01663774,0.011934268,-0.02113128,-0.012936898,-0.008836953,0.0061833267,-0.014868521,-0.011727048,-0.026282033,0.001891384,0.030275423,0.027397325,-0.0043294625,-0.0056735324,0.027944766,0.028245525,-0.011530098,0.0055883573,0.017448707,0.005960435,-0.0007089051,-0.009358206,0.0017185329,-0.018014215,-0.004462765,-0.00046026555,0.022880418,-0.03149637,0.032360736,0.02630493,-0.007767452,0.015021748,-0.0014775331,0.0037051348,-0.007844008,0.010812195,0.005930258,-0.019576753,0.026328888,-0.009634613,0.015556143,0.034846637,0.0049042865,0.0066575706,-0.014072468,0.0018452655,-0.011616026,0.019537056,-0.025016675,0.009557179,0.009367285,-0.0049761403,0.008183246,0.0015866897,-0.0053848117,-0.009244123,-0.011234519,-0.00041742652,0.0044477177,-0.011875168,0.0045531373,-0.02095299,0.0048333844,0.017693363,0.016549151,-0.028361201,-0.018069703,-0.0045227692,0.0006732743,0.025075482,0.016164012,0.0063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