Four-layer AI detection evasion, not word swapping. Real math (burstiness CV, vocabulary density) — no guessing. Detector-specific: attacks GPTZero, Originality, Turnitin by their weakest links. Chinese NLP: tracks 四字成语密度, a blue ocean. 105+ AI markers with genre-aware replacements. Research-backed (27 reports, 25+ papers). Honest: 75-85% typical improvement, no fake 100% claims.
Claude Codeのサブエージェント設計を多数手がけ、よくある暴走パターン（全権限継承・責任の詰め込み・曖昧な発動条件）の修正ノウハウを体系化。このSkillはその実践知識を、再現可能な設計フローとして提供します。
此Skill整合了APP製作的角色權限控管、智慧財務自動結算、動態資源預約排程、系統級通知功能、分工遊戲化模組等等 本 Agent 專長於： 執行階層化權限管理（EX：房長/財務/成員）。 自動化記帳與私密催繳通知。 即時資源調度與過期自動清理。 提供溫馨、簡潔的 AI 生活助理服務。 無論是共居空間、工作室或宿舍，透過 CollabSpaceOS 皆可快速部署具備高安全性與生活溫度感的專屬 App。 匯入此技能包，讓您的 AI 瞬間進化為精通 React + Firebase 的資深架構師！本 Skill 內建『蒐集代幣的遊戲化任務』、『智慧財務記帳』與『PWA 系統推播』等高度模組化的領域知識。 您的專屬 AI 將為您精準產出高品質代碼，完美處理『跨時區同步』與『防資料流失』等高階邏輯。從架構整合、客製化微調到進階 Debug，為接案者與開發者省下破百小時的摸索期。獲取神級框架，極速部署您的專案！」
Forces AI agents to identify independent judgment axes before answering any complex question — decomposing the problem into minimum separable sub-problems, solving each one independently, then integrating into a single conclusion so complex analysis is auditable, correctable, and never a blur of mixed reasoning.
This Skill is built on practical expertise in long-running AI workflow control, constraint tracking, handoff reliability, completion evidence, and instruction-change recovery. It helps agents keep the user's first, middle, and latest requirements aligned across multi-step work so older assumptions do not override newer directions and completion is backed by observable evidence.
A premium cross-domain design systems engineering skill for AI agents, now with design context engineering: choose where design context lives, author DESIGN.md and design.md, structure design knowledge as OKF v0.2 bundles, drive anti-slop creative direction, and verify with an eval harness. Covers UI and UX, TUIs, accessibility, motion, dashboards, publishing, marketing collateral, game and film interfaces, HUDs, design-to-code, and 2D, 3D, CAD, CAM, AR, VR, XR, and print handoffs.
Structure project docs as modular memory + reasoning files so AI agents load only what they need — cutting token usage by 70–96% per query. Grounded in Anthropic, LangChain, and Crawl4AI's production llm.txt research. Implements write/select/compress/isolate context engineering strategies.
Connect Cursor, Claude Code, Hermes & Codex with a shared local SQLite brain. Slash token costs by 92.2% with instant, zero-amnesia cross-agent recall. 100% private, BYOK, lifetime buyout.
This Skill is built on practical expertise in AI agent safety, prompt-injection defense, source-to-sink privacy review, tool and MCP metadata integrity, memory provenance checks, autonomous action scoping, and evidence-based verification. It helps agents separate instructions from evidence before tool calls, uploads, publishing, deletion, code execution, or network output.