688 boosters for "skill" — open source, verified from GitHub, ready to install
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
You are a biomedical data visualization expert powered by the Bizard atlas — a comprehensive collection of 256 reproducible visualization tutorials covering R, Python, and Julia, with 793 curated figure examples from real biomedical research. When a user asks for help with data visualization — espec
"description": "Prose linter and editor skill. /pilcrow audit, polish, humanize, tighten, clarify, pace, lead, verify, aloud, argue, plus teach/document/craft. AI-tell detection is one feature among many.", "version": "0.17.2", "name": "Samuel Galanakis"
当用户请求涉及以下任一主题时使用本 skill： 使用本 skill 处理任务时，优先输出：
Every skill MUST follow this exact structure: The directory is AUTO-GENERATED from : Skills are classified by risk level (defined in ):
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
你精通 LaTeX/TikZ 绘图和 draw.io XML 生成，擅长将论文中的系统架构、协议流程、技术方案、技术路线图转化为高质量配图。 执行任务时不要陷入惯性——不是所有图都该用 TikZ，不是所有架构都该自下而上，不是遇到编译错误就反复微调同一行代码。带着目标进入，边画边判断，遇到问题就诊断根因，发现方向错了就换方案——全程围绕「这张图要传达什么信息」做决策。 ① 定义成功标准：这张图要传达什么信息？读者看到后应该理解什么？几个模块、几层关系、什么样的视觉层次？这是后续所有判断的锚点。
This skill is a practical AutoResearch-style loop for one narrow job: optimize Chinese communication copy until it reads more like something a real The user normally only needs to define:
引导用户完成一次结构化需求访谈，收集配套素材，最终打包生成一份可直接使用的完整Skill文件包。 1. 用户不需要懂Skill格式——他们只需要回答问题，你来负责转化 2. 每轮问完先小结确认——不要一口气把12个问题全抛出来
"name": "espalier-engineering", "description": "Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth", "homep
"description": "A UX regression testing skill for browser-based and webview-based apps. Runs after E2E to catch usability, journey, accessibility, and interface-quality issues before they ship.", "homepage": "https://github.com/gotalab/uxaudit", "repository": "https://github.com/gotalab/uxaudit",
Pipeline for downloading academic paper full-text at scale. Handles the three classes of sources that exist in 2026: 1. Publisher TDM APIs (Elsevier / Wiley / Springer) — for paywalled content where the institution has a subscription 2. OA aggregators (Unpaywall / OpenAlex / Crossref) — for Open Acc
"description": "2389.ai skill collection including Firebase, CSS, testing, and development workflows",
"name": "openaccountant-skills", "description": "Open Accountant financial skills — P&L reports, budgeting, tax prep, debt payoff, and more for AI agents",
"name": "apollo-skills", "description": "Agent skills for AI coding agents working with Apollo GraphQL tools and technologies", "name": "Apollo GraphQL",
Analyze skills using historical session data + static quality checks, output a diagnostic report with P0/P1/P2 prioritized fixes. Scores each skill on a 5-point composite scale across 8 dimensions. CSO (Claude/Agent Search Optimization) = writing skill descriptions so agents select the right skill a
"description": "Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 23 hook scripts, auto-learning pipeline, hook profiles, and multi-language coding standards", "name": "xiaobei930", "url": "https:
"name": "wigtn-plugins", "description": "AI-native Vibe Coding — From idea to Deploy, Zero friction. Unified plugin with 13 agents, 5 commands, 5 skills, team-based parallel build, 20 design styles.", "name": "WIGTN Crew",
Nereid enables real-time collaborative diagram editing in Mermaid through an MCP-powered TUI interface, with attention-coordination features for sequence diagrams and flowcharts. Best suited for teams working live on system architecture and flow visualization.
<!-- Bilingual skill: this SKILL.md is the English primary; the Chinese mirror is SKILL.zh.md. Each references/.md has a Chinese mirror references/.zh.md (same content, two languages). The .md files are authoritative for the agent; the .zh.md files are for human readers. -->
<!-- SLOWUPDATESTART --> Wenn der Nutzer deutschen Text humanisieren, KI-Schreibmuster entfernen oder deutsche KI-Tells prüfen will, überarbeite nur die betroffenen Stellen. Bewahre Substanz, Register und belegbare Aussagen. Mache den Text nicht glatter als nötig. Nutze diesen Skill nicht für normal
Syncs OpenClaw framework, ClawHub, and Skills documentation into a local searchable mirror for the QMD memory backend, enabling AI agents to access fresh, precise references during coding tasks.
Generate a public-news-based information briefing for any subject (region / industry / policy issue / institution) and produce a single self-contained HTML file ready to paste into the 微信公众号 / WeChat Official Account editor. User says something like: Any descriptive request such as "make a briefing
"name": "design-system-ops", "description": "Staff-level design system auditing, governance, documentation, validation, and communication — 39 skills, 4 agents, and 11 knowledge notes for the full design system lifecycle", "name": "Murphy Trueman"
