Posts
All the articles I've posted.
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Covey's time management matrix, now with Claude Code—how each quadrant shifts
Covey's time management matrix from The 7 Habits of Highly Effective People splits time on two axes: important × urgent. Drop Claude Code into the picture and each quadrant's time allocation shifts. The long-term compounding from AI isn't in Q1, it's in Q2.
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Covey 七個習慣的時間矩陣放上 Claude Code 之後——每一格的時間分配怎麼變
Covey《高效能人士的七個習慣》的時間矩陣是兩軸切四象限，重要 × 緊急。把 Claude Code 放進去之後，每一格的時間分配會被重新洗牌。Q1/Q3 被 AI 吃掉，多出來的時間搬到 Q2 才是 AI 協作的長期複利。
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Two MCP servers for Taiwan public data—what mcp-taiwan-legal-db and Twinkle Hub are each good for
Two MCP servers wrapping Taiwan's public data sources—one focused on court judgments and statutes, the other aggregating 52,960 government open datasets plus 37 local utility tools. They turn out to be complementary; I now run both.
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台灣公開資料兩個 MCP 評測——mcp-taiwan-legal-db 跟 Twinkle Hub 各適合什麼場景
兩個串接台灣公開資料的 MCP server——一個專精法律判決跟法規查詢、一個聚合 5.3 萬筆政府開放資料 + 37 個在地工具。實測下來各有強項，課程跟導入場景的搭配方式不一樣。
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What I only learned after taking on enterprise AI training—prep time, the client liaison, instructor flexibility, and how to pick an instructor
Four things I learned after running a handful of enterprise AI training sessions. Prep time is 3-5x the session itself. The client liaison decides everything. The instructor has to handle wildly different skill levels. And if you're looking to hire a trainer, the signals are like picking a pop star.
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親自接 AI 企業培訓之後才知道的事——準備時間、甲方對接、講師應變、選講師訊號
接了幾場企業 AI 培訓之後整理出來的四件事：準備時間是上課時間的 3-5 倍以上、甲方對接者決定一切、講師要能應付各種程度跟提問、想找講師的話訊號跟追星很像。
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How to tune Opus 4.7's effort, and why I still keep non-coding tasks on Sonnet 4.6 medium
Opus 4.7's default adaptive effort is a disaster—it turns into a lazy emperor. You have to crank it up to high or xhigh to avoid that, but token consumption goes nuts. After testing, Sonnet 4.6 medium is the sweet spot for non-coding work.
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Opus 4.7 的 effort 怎麼調，跟為什麼我非編程任務還是停在 Sonnet 4.6 medium
Opus 4.7 預設的 adaptive effort 是場災難，會變成偷懶摸魚皇帝。要開到 high 或 xhigh 才能避免，但 token 就開始狂燒。實測下來，非編程任務停在 Sonnet 4.6 medium 反而是最好的選擇。
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Claude Code Desktop vs CLI right now—why I think beginners should just start with the desktop app
Two or three weeks ago Anthropic overhauled the desktop app. Over 90% of the features now match the CLI. If you're a beginner who's scared of the terminal, starting with the desktop app is fine.
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Claude Code 桌面版跟終端機現在差在哪——我為什麼覺得初學者直接從桌面版開始就好
兩三週前 Anthropic 把桌面 App 大翻新，90% 以上功能跟終端機同步。初學者對終端機有恐懼，現在從桌面版開始完全沒問題。
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Why You Keep Hitting Limit: Six Observations on Claude's Subscription Economics
From W18 to W19 I accumulated half a dozen observations about Claude quota — reset times deliberately scattered, the 5x→20x math trap, hitting limit in one hour during US East peak, and somehow free GPT never running out. String them together and a real subscription economics emerges.
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為什麼你會一直 hit limit：Claude 訂閱經濟學的六個觀察
從 W18 到 W19 累積了好幾條關於 Claude 額度的觀察——重置時間打散、5x→20x 的數學陷阱、美東尖峰一小時就滿、免費 GPT 反而打不滿。把這些連起來，會看到 Claude 訂閱的真實經濟結構。
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Three Channels for Tracking Anthropic
Since March 2026 I have been jotting down ways to follow Anthropic — official sources, employee accounts, third-party teardowns. Consolidating into one piece, with notes on the recent Mythos system-card controversy and the curious silence of Anthropic employees on social media.
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追蹤 Anthropic 動態的三條管道
從 2026 年 3 月開始我陸續記了一些追 Anthropic 的方法——官方來源、員工帳號、第三方拆解。整理成一篇，順便聊近期的 Mythos 系統卡爭議跟員工社群媒體沉寂的訊號。
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Jack Dorsey Cut 40% and Rebuilt: The Shape of Companies in the AI Era
Block / Square / Cash App's Jack Dorsey did an interview about why he laid off 40% of the company and rebuilt from scratch. Plus Sequoia's Roelof on the "three things a good CEO needs" — once AI can do 80%, the remaining 20% is where humans live.
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Jack Dorsey 把公司裁掉 40% 重建：AI 時代的組織形狀
Block / Square / Cash App 的 Jack Dorsey 接受訪問，聊他為什麼把公司裁員 40% 然後從頭重建。順便整理 Sequoia 投資人 Roelof 講的「好 CEO 三件事」——在 AI 可以做出 80% 之後，剩下那 20% 才是人類的價值。
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Judging AI Risk on Two Axes: Reversibility × Environment Isolation
A common question in corporate trainings — "can I let AI do this automatically?" I answer with two axes: reversible vs irreversible, isolated vs production. This 2x2 prevents more incidents than any prompt-engineering tutorial.
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判斷 AI 風險的兩個維度：可逆性 × 環境隔離
企業內訓裡常被問的一題——「我可以讓 AI 自動做這件事嗎？」我用兩個維度回答：可逆 vs 不可逆、隔離環境 vs 生產環境。這個 2x2 矩陣比任何 prompt 教學都更能避免事故。
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Moving from Claude Code to Codex: I Built a Skill to Handle It
Migrating an entire personal harness from Claude Code to Codex is not trivial — claude.md / agents.md, MCP, hooks, settings each need their own translation. I packaged the workflow as a Skill on GitHub. Plus a note on why I keep reaching for Codex these days.
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從 Claude Code 搬家到 Codex：我做了一個 Skill 自動處理
把整套個人 harness 從 Claude Code 遷移到 Codex 不容易——claude.md / agents.md、MCP、hooks、settings 各自要對齊。我把流程包成一個 Skill 放在 GitHub，順便聊聊為什麼最近越來越常用 Codex。
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You're mass-applying with AI. They're mass-screening with AI. Who wins?
Something slightly absurd is happening in the job market — candidates using AI to generate hundreds of tailored applications, HR using AI to filter them. In a bilateral arms race, who actually benefits?
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你用 AI 海量投履歷，他用 AI 海量篩履歷：最後誰贏了？
北美職場正在發生一件有點荒謬的事：求職者用 AI 大量產出履歷，HR 用 AI 大量過濾履歷。在這場雙邊軍備競賽裡，最後是誰在受益？
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Is your AI subscription worth it? A night market steak framework
A $7 night market steak versus a $70 restaurant steak — the expensive one isn't ten times better. AI subscriptions work the same way. A framework for deciding whether you're actually getting value.
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AI 訂閱費值不值？夜市牛排思考框架
兩百塊夜市牛排 vs 兩千塊餐廳牛排，差十倍的價格未必差十倍的體驗。AI 訂閱也一樣。一個判斷 AI 訂閱費有沒有在「賺」的框架。
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Lost 10 kg After Ten Years of Failure — Because of Claude's Quota
Lost 10 kg, complexion improved — a result I had failed to hit for ten years, finally achieved without willpower. Not from health drugs. From Claude burning my quota faster than I could finish my work. A half-joking but completely real chronicle of the silliest side effect of 2026.
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Teaching non-technical people AI: five things the tech world assumes everyone knows
One student was a seasoned HR consultant who managed all her files across several USB drives and had never heard of an API. Here are five knowledge gaps that show up constantly when teaching AI tools outside the tech world — and what actually works.
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睽違十年瘦了 10 公斤——竟然是因為 Claude 額度不夠
體重減掉 10 公斤、氣色變好——睽違十年都沒達成的成果，竟然不是靠猛健樂，而是靠 Claude 把我額度燒完。這篇半開玩笑的記下這個荒謬但真實的副作用。
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帶麻瓜學 AI：技術圈習以為常、但他們從來不知道的五件事
一位企業人資顧問、USB 隨身碟管理所有檔案、從來不知道 API 是什麼。這是在技術圈外推廣 AI 工具時，你會真實碰到的起點。五個知識落差，以及我現場用的方法。
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AI community digest W18: Claude detects Codex cheating, GPT 5.5 guardrails confuse everyone
Reddit AI community top posts from 4/28–4/29: r/ClaudeAI agent safety concerns, r/ChatGPT's GPT 5.5 content policy drama, r/LocalLLaMA on local model benchmarks, and Anthropic announcing Claude for Creative Work.
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AI 社群週報 W18：Claude 偵測到你在偷用 Codex、GPT 5.5 的過濾器到底鬆了沒
4/28–4/29 的 Reddit AI 社群熱門話題整理：r/ClaudeAI 的 agent 安全性爭議、r/ChatGPT 的 GPT 5.5 guardrail 爭議、r/LocalLLaMA 的本機 LLM 現況，以及 Anthropic 宣布 Claude for Creative Work。
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1M context isn't about holding more — it's about managing better
Claude Code's context window grew from 200k to 1M. The instinct is to put more in. That instinct is wrong. Five session management operations, four strategy rules, and the two most common ways to break your own context.
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Knowledge base deep clean: using AI to find months-old problems
Rules trimmed from 13,020 to 7,590 tokens. 92 broken wikilinks. Five root causes behind a failing todo system. Four days of cleanup, one quarterly SOP.
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1M Context 不是裝更多，而是管理更好：Claude Code Session Management 心法
Claude Code 的 context window 從 200k 長到 1M，但更大不代表更好用。這篇整理五種 session 管理操作（Continue / rewind / clear / compact / Subagents）、四大策略、以及最容易踩的兩個坑。
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Claude Code this week: 1M context as a management problem, quota anxiety goes collective, SpaceX takes Cursor
Observations from 4/23–4/29: the right mental model for 1M context, Claude quota anxiety as a subscription design phenomenon, SpaceX beating Microsoft to Cursor for $60B, Claude 4.7 identifying a journalist from 125 words, and what happens when you let Claude Code DJ.
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See the Outside, Think the Inside: Two Claude Skills That Pair
I saw a competitor selling well and my first reaction was anxiety. But before letting anxiety win, I wanted to actually understand what it was. Lately I have been pairing two Claude Skills for this — H/V analysis to see the outside, first-principles to see the inside.
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Nine video production bugs I hit in April 2026
Running a fully automated video pipeline with Remotion, ffmpeg, yt-dlp, SiliconFlow ASR, and the YouTube API — here are nine specific bugs from April, in the order I hit them.
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2205% subscriber growth in two weeks: how one video opened the algorithm
Real analytics breakdown of how EP.18 went viral — not through SEO, but retention triggering subscriber activation, then spreading via sidebar. Plus what I actually did to make it happen.
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Claude Code 這週整理：1M Context 怎麼用、額度焦慮集體發作、Cursor 被 SpaceX 搶走
4/23–4/29 這週的觀察與整理：1M context window 的正確心態、Claude 額度焦慮進化成集體現象、SpaceX 搶在微軟前面拿下 Cursor、Claude 4.7 根據 125 字認出記者、live coding 做音樂的副作用。
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看清外面、想清裡面：兩個 Claude Skill 的分工
偶然看到一個競品賣得很好，第一反應是焦慮。但焦慮之前，我想先搞清楚它到底是什麼。最近用兩個 Claude Skill 把這件事做透——橫縱分析法看外面，第一性原理看裡面。
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知識庫大掃除：用 AI 幫你找到埋了幾個月的爛帳
Rules 從 13,020 降到 7,590 tokens、92 個 wikilink 斷連、待辦系統五大根因——記錄一次花了四天的知識庫健檢，以及整理出來的季度 SOP。
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自動化影片製作管道：2026 年四月踩過的九個坑
用 Remotion、ffmpeg、yt-dlp、SiliconFlow ASR、YouTube API 自動化影片製作流程，四月份踩到的九個具體 bug 與解法。
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頻道訂閱兩週漲 2205%：一支影片怎麼把演算法打開的
用真實數據拆解 EP.18 爆款的完整機制：不是 SEO，是留存率觸發訂閱者激活，再透過 sidebar 擴散。以及我做了什麼讓這件事發生。
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A Legal Counsel Used Claude Code to Catch Patent Infringement — Days Down to Hours
A legal counsel at a mid-sized company took our Claude Code course, then compressed a multi-day patent infringement audit into a single day — and actually caught a real case that is now in legal proceedings. This story finally turns "Claude Code is not just for engineers" from a slogan into a fact.
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法務用 Claude Code 抓專利侵權，從幾天變成一天
一位幾十人公司的法務上完 Claude Code 課之後，把原本要好幾天的專利侵權查核壓到一天，而且真的抓到送上法律程序。這篇想記下這個案例，因為它讓「Claude Code 不是只給工程師用」這句話從口號變成事實。
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My Claude Code Automation Stack: /loop, Monitor Tool, the Skill System, Obsidian Reflection Reviews
From /loop clocking in for me at ERP, to Monitor Tool as a background event gatekeeper, to Google Map MCP saving browser clicks, to Obsidian + Mirror framework for weekly reflection. Here's my six-month Claude Code automation stack, plus a clarification of how commands and skills actually split.
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我家的 Claude Code 自動化工作流：/loop、Monitor Tool、skill 體系、Obsidian 反思週報
從 /loop 指令幫我打 ERP 卡、Monitor Tool 做背景事件守門員、Google Map MCP 省瀏覽器操作、到 Obsidian 搭 Mirror 框架做反思週報——整理這半年我家 Claude Code 的自動化架構，順便釐清 commands 跟 skills 到底怎麼分。
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Six Months with Claude Code: From First Affection to Hesitation, From Overtime to Detox, From Mandarin Circles to the Thai Community
From January to April, my state of mind with Claude Code went from "that PTT-generation affection for the CLI" to "20x hesitation" to "AI detox" to "practicing Thai at a Bangkok meetup." Here's the six-month arc, along with the nights agents worked overtime for me until 5 AM.
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Claude Code 用了半年：從好感到猶豫、從加班到 detox、從中文圈到泰國社群
從 1 月到 4 月陪著 Claude Code 一起長大半年，我的心態從「PTT 世代對 CLI 的莫名好感」變成「20x 的猶豫」變成「AI detox」變成「泰國社群練泰語」。整理一下這半年的軌跡，連同那些對自己講越來越 nerdy、agent 幫我加班到凌晨五點的日子。
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Two Months of Claude Code Harness Ops: Crashes, Zombies, Cache Misses, and Plan Mode Edges
From March to April, running Claude Code as a long-running harness surfaced a bunch of issues. Survival tactics during the outage, my hook for cleaning up zombie processes, the resume cache-miss fix in 2.1.90, the silent memory bloat in 2.1.100, and the Plan-Mode-question-density problem after 4.7.
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Claude Code Harness 兩個月運維史：當機、殭屍、快取、Plan Mode 的邊邊角角
從 3 月到 4 月，Claude Code 作為長時間運轉的 harness，踩過的幾個點：當機時的求生策略、我自己寫的 hook 清殭屍進程、2.1.90 修好的 resume cache miss、2.1.100 的記憶體暴增修復、還有 Plan Mode 問題太多的 4.7 癥結。
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AI-Era Business Routes: Auto-Generated Posts, the Skill Poisoning Theory, and Why I Started Rooting for OpenAI
A handful of AI industry observations I piled up on Threads this week — automating social posts uses AI in the wrong place, whether Skills are a mechanism for model providers to extract human knowledge, and why I went from hating on OpenAI to genuinely hoping they get better.
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AI 時代的經營路線之爭：自動化貼文、Skill 投毒論、跟我期待 OpenAI 的理由
這週跟朋友閒聊時累積的幾則 AI 產業觀察——用 AI 自動化產貼文是用錯場景、Skill 是不是模型商套人類知識的陰謀、為什麼我從唾棄 OpenAI 轉成期待他們越做越好。
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A Teacher's Responsibility: How a 15-Year Cram School Instructor Sees AI-Era Course Quality
When students have the wrong expectations, instructors are often also failing. After 15 years in cram schools and recent experience teaching Claude Code, a few thoughts on course quality basics, teacher responsibility, and the most practical one-word answer for a cram school going AI.
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教學者的責任心：15 年補教老師怎麼看 AI 時代的課程品質
當學員有錯誤期待時，授課者也常常不及格。15 年補教經驗加上最近試教 Claude Code 的觀察，聊一下教學品質的基本盤、老師的責任心、以及補習班 AI 轉型最實用的一句答案。
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Claude Code This Week: Offloading CLAUDE.md, Quota-Saving Tricks, Ghostty Click Fix
A handful of Claude Code settings and money-saving tricks I picked up this week — how Rules/Memory/Hooks offload CLAUDE.md, fixing cmd+click in Ghostty No Flicker mode, dispatching long-read work to Haiku for quota relief, and the cache difference between pasting images and editing prior messages after 4.7.
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Claude Code 這週整理：分擔 CLAUDE.md 的進階設定、省 quota 技巧、Ghostty 點擊設定
本週 Claude Code 累積的幾個實用設定與省錢技巧——Rules/Memory/Hooks 如何分擔 CLAUDE.md、Ghostty No Flicker 模式下連結點擊的修法、長文本用 Haiku 分派省 quota、4.7 後貼圖片跟改訊息對快取的差別。
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Opus 4.7 After One Week: From the System Card to the Roasting, Where Did It Go Wrong?
Opus 4.7 launched on 4/16 and the Chinese and English communities ended up with opposite takes. The system card reads like a full win, but real usage burns quota at roughly 2x what Anthropic claimed, and Reddit spent the week roasting it. Here's what I saw, and why I rolled back to 4.6.
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Opus 4.7 上線一週：從系統卡到火烤文，到底哪邊出了問題
Opus 4.7 上線一週，系統卡數據看起來全面超越 4.6，但實測下來燒 quota 是官方宣稱的 2 倍，Reddit 一片火烤文。整理這週的災情、逆向分析、以及我自己退回 4.6 的路徑。
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90% of People Are Two Years Behind: The Real AI Adoption Gap
I demonstrated Claude Code to friends and they were all amazed. Then I gave them free Pro trial passes — three of them. Not a single one was used. That told me a lot about how AI adoption actually works.
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Claude Code Subscription Guide: The Real Gap Between Pro and Max
How much does Pro actually give you? Is Max worth it? Why does Cowork burn through tokens so fast? What does "2x usage" actually mean? These questions come up constantly — here's everything I've figured out over the past few months.
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Why Claude Code Only Reaches Its Full Potential in the Terminal
The terminal isn't just another way to open Claude. It's the environment where Claude actually gets to operate without constraints. Multi-window workflows, speed, resources, Ghostty — a full confession from a CLI believer.
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90% 的人落後兩年：AI 採用的真實落差
我把 Claude Code 示範給朋友看，他們都說驚艷。然後我把免費的 Pro 體驗 pass 發給他們——三張，一張都沒被用過。這件事讓我想清楚了很多關於 AI 採用的事。
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Claude Code 訂閱怎麼選：從 Pro 到 Max 的真實落差
Pro 的額度到底有多少？Max 值不值？Cowork 為什麼很燒 token？週額度的「雙倍」到底是哪個雙倍？這些問題我都被問過不只一次，用這篇把幾個月來的觀察整理清楚。
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為什麼 Claude Code 在終端機裡才是完全體
終端機不只是另一種打開 Claude 的方式。它是讓 Claude 真正解放的環境。多視窗、速度、資源、Ghostty——這是一個 CLI 信徒的完整自白。
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What Anthropic Did This Time: Cache Reduction and Token Anxiety Injection
Starting in early April, some Max and higher accounts had their subagent cache duration quietly reduced from 1 hour to 5 minutes — no announcement. Around the same time, users found a hardcoded "token remaining" warning being injected into Claude's context, causing it to cut work short prematurely. How to check your own setup, and what this pattern means.
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Claude Desktop vs CLI: Why I Still Use the Terminal After the Redesign
Claude released a redesigned desktop application — better looking, friendlier for newcomers. But if you ask me which one to use, the answer is still CLI. Not nostalgia, just feature gap and resource efficiency.
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hermes-CCC: Bringing All 46 Hermes Agent Capabilities into Claude Code
Someone ported the entire NousResearch Hermes Agent into 46 native Claude Code Skills. No OAuth, no external processes, just restart CC and you're ready. The core philosophy is "procedures-as-prompt" — structured markdown instruction scripts drive AI behavior without writing a single line of code.
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Obsidian vs NotebookLM: Which One Works for Claude Agent Automation?
These two tools get compared a lot, but they solve fundamentally different problems. From a Claude Agent automation perspective, the difference is even clearer — one is a local knowledge base your Agent reads and writes directly, the other's API stops at "managing the Notebook itself."
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Anthropic 這次幹了什麼：快取縮水與 Token 焦慮注射
4 月初起，部分 Max 以上帳號的 subagent 快取維持時間被偷偷從 1 小時改成 5 分鐘，零公告。同期有用戶發現 Claude 被注入固定的「剩餘 token 警告」，導致 Claude 提前縮短工作。怎麼自查，以及這件事代表什麼。
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Claude Desktop vs CLI 差在哪——改版之後我為什麼還是用終端機
Claude 推出了改版的桌面應用程式，設計更漂亮、對新手更友善。但如果你問我要用哪個，答案還是 CLI。不是情懷，是功能差距和資源效率的問題。
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hermes-CCC：把 Hermes Agent 的 46 個能力全部裝進 Claude Code
有人把 NousResearch 的 Hermes Agent 整套行為拆解成 46 個 Claude Code 原生 Skill。沒有 OAuth、沒有外部進程、重啟 CC 就能用。核心設計哲學是「procedures-as-prompt」：用結構化 markdown 指令稿驅動 AI 行為，不用寫一行程式碼。
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Obsidian vs NotebookLM 比較：用 Claude Agent 自動化知識管理該選哪個
這兩個工具常被拿來比較，但解決的問題其實不同。從 Claude Agent 自動化的角度來看，差異更明顯：一個是 Agent 直接讀寫的本機知識庫，另一個的 API 在「管理 Notebook」這件事上就停了。
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This Week in the Claude Code Ecosystem: Four Resources I Bookmarked
Enterprise office tools, Taiwan local services, a hobby vertical, beginner onboarding—four different corners of the Claude Code ecosystem all shipped something this week. Each represents a use case that's still underexplored.
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本週 Claude Code 生態觀察：四個我收藏的新資源
企業辦公工具、台灣本地服務、興趣領域、初學者入門——這四個角落本週都冒出了新的 Claude Code 資源。每一個都代表一類還沒被充分開發的使用場景。
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Two HTML/PDF Rendering Traps: Chrome Print Margin and qlmanage's Single-Page Problem
This week I exported a client proposal as HTML→PDF and split an internal report from PDF→images page by page. Both flows had a seemingly unsolvable trap. Each fix is one line of code, but tracking down that line cost me real time.
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兩個 HTML / PDF 渲染陷阱：Chrome print margin 和 qlmanage 的 1 張縮圖
這禮拜寫了客戶提案的 HTML→PDF 和內部報告的 PDF→圖逐頁拆分，兩個流程都有一個看似無解的陷阱。解法都是一行事情，但找到那一行花了我一小時。
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Digging into Claude Code's JSONL: Manual Context Usage, Cache Types, and Compact Detection
Claude Code's `/stats` only tells you the total token count, but the JSONL files hide a lot more—cache types, compact triggers, image-triggered cache misses. Here are the useful formulas I collected while building cc-audit.
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挖 Claude Code 的 JSONL：手動算 context 用量、分辨快取類型、偵測 compact
Claude Code 的 `/stats` 只告訴你總 token 數，但 JSONL 檔案裡其實藏著更細的資訊——快取類型、compact 觸發、貼圖 cache miss 都能手動算。這是我最近做 cc-audit skill 時整理出來的幾個實用公式。
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cc-audit: A Skill That Forces You to Save Claude Code Quota
I turned my viral list of quota-saving tips into a skill. Hand the GitHub link to Claude Code to install, and it'll audit your settings, recent sessions, rules bloat, and context usage, then hand back an actionable fix list.
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cc-audit：一個強迫你省 Claude Code 額度的 Skill
把我之前整理的一千多讚的省額度技巧全部做成 skill。丟給 Claude Code 安裝後，它會逐條檢查你的設定、近期 session、rules 膨脹、context 用量，給出可執行的修正清單。
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Make a Claude Code Tutorial Video in 30 Minutes with Remotion Skill
I'd had the Remotion skill installed for a while, mostly just playing with it. Once I started making a free Claude Code tutorial series, I realized how good it actually is—from script discussion to export, 30 minutes gets you a 15-minute video with no retakes.
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用 Remotion Skill 半小時拍一支 Claude Code 教學影片
Remotion skill 我下載好一陣子了，一開始只是玩玩。最近開始錄 Claude Code 免費教學系列才發現真的太好用——從口白討論到剪輯渲染，半小時出一支 15 分鐘影片，不 NG 也不費力。
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Is Claude Getting Dumber? Someone Finally Brought Data
People have been complaining Claude is getting dumber for weeks. Anthropic's response has been "it's a usage problem." Then someone pulled the JSONL and showed it's measurable, not vibes. The Issue got closed anyway.
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Claude 變笨了？這次有人拿出數據證據
大家抱怨 Claude 變笨已經好幾個禮拜了，Anthropic 的回應一貫是「使用習慣問題」。終於有人從 JSONL 扒出數據，證明不是體感而是實測——但 Issue 還是被秒關。
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Claude Code's Cache Crisis: Why Your Quota Burns So Fast
A Reddit user reverse-engineered two official bugs, and combined with the compounding effect of 1M-token context, your quota might be silently burning at 20x the expected rate.
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How Claude Code Skills Actually Load: Lazy Loading and a 30-50% Trigger Rate
Skills don't dump all their prompts into context by default. They load layer by layer on demand. But passive trigger rate is only 30-50%, so slash commands are your safest bet.
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Claude Code 的快取危機：為什麼你的額度燒得那麼快？
Reddit 大神逆向工程挖出兩個官方 Bug，再加上百萬 token 上下文的複合效應，你的額度可能在背後被吃掉 20 倍。完整事件始末與修復紀錄。
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Claude Code Skills 機制解密：按需載入與觸發率真相
Skills 不會把全部提示詞預設注入上下文。它是一層一層按需載入的。但被動觸發率只有 30-50%，打 slash 才是最保險的。
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Claude Code Source Leak: Three Secrets Unearthed by Reddit
Someone reverse-engineered Claude Code and found a hidden virtual pet system, next-gen model deception rate data, and an "Undercover Mode" that strips AI attribution from Anthropic employees' commits.
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Claude Code 源碼洩漏：Reddit 大神挖出的三個秘密
有人對 Claude Code 做了逆向工程，挖出了隱藏的電子寵物系統、下一代模型的欺騙率數據、以及讓 Anthropic 員工隱藏 AI 身份的 Undercover Mode。
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Anthropic's Trust Crisis and My Backup Plan
They quietly slashed quotas, went silent for a week, and only responded when they got caught. When your work is deeply tied to a service that can't even hit two nines of uptime, a backup plan isn't optional—it's essential.
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Anthropic 信任危機與我的備援方案
偷改額度、裝死一週、被發現才滅火。當你的工作已經深度綁定一個不到兩個 9 uptime 的服務，備援方案不是選項，是必要。
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Mirror System: Weekly Reviews Without the Comfort
Normal weekly reviews let you make excuses for yourself. Mirror System doesn't offer reassurance — just feed your daily notes to Claude and watch it surface the patterns you've been avoiding.
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Mirror System：用 Claude 做不帶安慰的週回顧
普通的週回顧，你會幫自己找理由。Mirror System 不要肯定，不要安慰，只要事實——把本週 daily notes 餵給 Claude，看它反照出你不想正視的模式。
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Why Does Cowork Hit Your Limit in Hours While Claude Code Runs All Day?
Same Max plan, same Claude — but Cowork burns through tokens ten times faster. Here's why, and when to use which.
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為什麼 Cowork 幾小時就頂到限額，Claude Code 整天都沒事？
同樣是 Max 方案，Cowork 和 Claude Code CLI 的 token 消耗差距可以到十倍以上。這篇解釋為什麼，以及什麼時候用哪個。
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The 5 Levels of Claude Code: You Don't Choose to Upgrade, the Ceiling Forces You
From Raw Prompting to Orchestration — the 778-upvote Reddit framework where every level exists because the previous one broke.
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Claude Code 五個成熟度等級：你不是選擇升級的，是被天花板逼的
從 Raw Prompting 到 Orchestration，Reddit 上 778 個讚的框架——每一層存在的原因，是因為上一層壞掉了。
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Turning Books into Claude Skills: From Textbooks to Atomic Habits, the World Is Already On It
Turning books, frameworks, and methodologies into Claude Skills — making knowledge executable as interactive coaches. A roundup of popular examples and practical lessons.
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把書變成 Claude Skill：從教材到原子習慣，國外已經在瘋了
把書籍、框架、方法論轉成 Claude Skill，讓知識變成可執行的互動式教練。國外的熱門案例整理和實作心得。