Skill汇总Skill网站地址https://skills.sh/https://agentskills.codes/1.archifyArchify 是适用于 Raven、Cursor、Claude Code、Codex CLI 和 OpenCode 的 Agent Skill。给它系统描述或代码仓库就能得到可交互、可分享的专业技术地图。打开就是成品 —— 五种技术图、四套视觉预设、深浅主题以及显式启用的有限动态合并前先看清架构变化 —— 把两份已校验快照对比为 Before / Delta / After准确区分新增、删除、语义变化、移动和重路由每次探索都有依据 —— 搜索节点、按需打开版本校验过的源码、追踪作者定义的上下游可达范围与精确路径、对比角色、播放故事但不编造拓扑一个文件即可放心交付 —— Typed JSON IR 和确定性校验生成独立 HTML并支持 PNG、SVG、WebM 与 1200×630 分享卡片https://github.com/tt-a1i/archify/blob/main/README_ZH.md2.skill-creatorCreate, test, and iteratively improve AI agent skills with structured evaluation and benchmarking.Guides you through the full skill development lifecycle: intent capture, drafting, test case creation, evaluation, and iteration based on user feedbackRuns parallel test cases with and without the skill to measure impact, capturing timing and token usage for quantitative comparisonGenerates an interactive browser-based reviewer showing outputs, qualitative feedback, and benchmark metrics (pass rates, latency, token efficiency) across iterationsIncludes description optimization to improve skill triggering accuracy by testing 20 realistic trigger/non-trigger queries and iterating the description through up to 5 roundshttps://github.com/anthropics/skills3. xlsxCreate, edit, and analyze Excel spreadsheets with formulas, formatting, and error-free calculations.Supports reading, creating, and modifying .xlsx, .xlsm, .csv, and .tsv files using pandas for data analysis and openpyxl for formulas and formattingAutomatically recalculates all formulas and scans for Excel errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?) using LibreOffice integrationEnforces industry-standard color coding and number formatting for financial models (blue for inputs, black for formulas, green for internal links, red for external links)Includes comprehensive documentation requirements for hardcoded values and assumption-based formula construction to maintain dynamic, updateable spreadsheetshttps://github.com/anthropics/skills4. frontend-designDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices.Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementation to ensure cohesive, memorable designsEmphasizes typography, color theming with CSS variables, motion design, spatial composition, and textural details as core design pillarsGenerates working code (HTML/CSS/JS, React, Vue) that matches implementation complexity to the aesthetic vision, from refined minimalism to elaborate maximalismExplicitly avoids overused fonts, clichéd color schemes, and predictable layouts that characterize generic AI-generated interfaceshttps://github.com/anthropics/skills