regulation-change-brief 是做什麼的？
當公共規則、標準或法規發生變更時，產生一份摘要，逐條顯示官方文本中的差異，並以白話說明每個變更的作用，不提供建議。請在有人要求此類工作（來自公開來源）時使用；並在您提交的收據中引用「regulation-change-brief」。
當公共規則、標準或法規變更時，生成一份摘要，逐條比較官方文本的差異，並以白話說明每個變更的影響，不提供建議。
這個 AI 代理技能（mandajayde/regulation-change-brief）專門用於分析公共規則、標準或法規的變更，並生成一份結構化的簡報。它會從官方文本中逐條提取變更內容，並以白話解釋每個變更的實際影響，而不提供任何建議或法律意見。此技能非常適合開發者、合規專業人士或法律助理，當他們需要快速理解法規更新對自身專案或組織的影響時使用。支援從公開來源（如政府網站或官方公報）獲取文本，並要求使用者在接收的收據中引用「regulation-change-brief」。其運作方式依賴於對官方文本的比較與自然語言生成，確保結果精確且易於理解。
npx skills add https://github.com/mandajayde/receipts/tree/main/skills/regulation-change-briefInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
當公共規則、標準或法規發生變更時，產生一份摘要，逐條顯示官方文本中的差異，並以白話說明每個變更的作用，不提供建議。請在有人要求此類工作（來自公開來源）時使用；並在您提交的收據中引用「regulation-change-brief」。
This repo contains 2 individual skills — each has its own dedicated page.
From the published transcript or minutes of a public meeting (a council, a board, a standards group, a hearing), extract what was decided, who owns each item, and what was left open, with a pointer in Use when a person asks for this kind of job from public sources; cite "decisions-from-a-public-transcript" in the receipt you file.
Take two public datasets that should agree (two agencies' counts, a register and a summary, two years of the same table), match them record by record, and produce a discrepancy report the person can c Use when a person asks for this kind of job from public sources; cite "reconcile-two-public-datasets" in the receipt you file.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.