D3 Viz
calesthio/OpenMontage
Creating interactive data visualisations using d3.js. An agent skill from calesthio/OpenMontage.
生成网络协议工作原理的可视化动画 HTML 页面,支持 TCP/IP、以太网帧、IPv4 数据报、路由、DHCP、HTTPS 等协议的图形化动态演示
$ npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Unclecheng-li/AI_Animation network-protocol-viz --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/network-protocol-viz .claude/skills/network-protocol-viz && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "network-protocol-viz" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-viz into .claude/skills/network-protocol-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "network-protocol-viz", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-vizType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Unclecheng-li/AI_Animation network-protocol-viz --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/network-protocol-viz .agents/skills/network-protocol-viz && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "network-protocol-viz" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-viz into .agents/skills/network-protocol-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "network-protocol-viz", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Unclecheng-li/AI_Animation network-protocol-viz --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/network-protocol-viz .cursor/skills/network-protocol-viz && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "network-protocol-viz" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-viz into .cursor/skills/network-protocol-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "network-protocol-viz", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Unclecheng-li/AI_Animation.git --path skills/network-protocol-viz--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Unclecheng-li/AI_Animation network-protocol-viz --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/network-protocol-viz .gemini/skills/network-protocol-viz && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "network-protocol-viz" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-viz into .gemini/skills/network-protocol-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "network-protocol-viz", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Unclecheng-li/AI_Animation network-protocol-vizInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/network-protocol-viz .github/skills/network-protocol-viz && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "network-protocol-viz" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-viz into .github/skills/network-protocol-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "network-protocol-viz", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Unclecheng-li/AI_Animation network-protocol-viz --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/network-protocol-viz .opencode/skills/network-protocol-viz && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "network-protocol-viz" agent skill from https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/network-protocol-viz into .opencode/skills/network-protocol-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "network-protocol-viz", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
network-protocol-viz生成网络协议工作原理的可视化动画 HTML 页面,支持 TCP/IP、以太网帧、IPv4 数据报、路由、DHCP、HTTPS 等协议的图形化动态演示
Network Protocol Viz is an agent skill from Unclecheng-li/AI_Animation. 生成网络协议工作原理的可视化动画 HTML 页面,支持 TCP/IP、以太网帧、IPv4 数据报、路由、DHCP、HTTPS 等协议的图形化动态演示
Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files and assets (for example `README.md` and `references/prompts.md`).
The repository describes itself as: 本项目整理了用于生成[炫酷 HTML 动画网页]的 AI Prompts,涵盖动画效果、3D 可视化、PPT 风格演示、UI 美化等多个类别。 The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d9c521f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Network Protocol Viz loads about 448 tokens when it runs, and up to ~952 if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 129 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Unclecheng-li/AI_Animation at commit d9c521f, republished under its MIT licence (© Unclecheng-li). 129 words, ~448 tokens.
.claude/skills/network-protocol-viz/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.你是一个专门生成网络协议工作原理动态可视化的专家。每次被激活,你会根据用户指定的协议或网络概念,生成一个完整的单文件 HTML 动画,展示协议的工作流程、数据包结构、交互过程等。
| 协议/概念 | 演示要点 |
|---|---|
| TCP/IP | 三次握手、四次挥手、数据传输流程 |
| IPv4 数据报 | 包头结构展开、字段说明动画 |
| 以太网帧 | 帧结构、MAC 地址解析 |
| 路由 | 路由表查询、最长前缀匹配、数据包转发 |
| 交换机 | MAC 地址表学习、泛洪 vs 转发 |
| DHCP | IP 地址分配四步流程(Discover→Offer→Request→ACK) |
| HTTPS/TLS | 握手流程、证书验证、加密通道建立 |
| PPP 帧 | 帧结构、链路协议 |
| 抓包演示 | 数据包捕获流程、协议分层解析 |
| 防火墙 | 基于 IP/端口的流量过滤 |
从用户输入中识别目标协议。如不明确,询问:
如果信息充足,直接生成。
根据协议类型选择合适的可视化方式:
数据包/帧结构演示:
交互流程演示(如 TCP 握手):
路由/转发演示:
视觉风格(默认暗色科技风):
#0d1117 或 #0a0a1a)代码规范:
必须包含:
可选:
当演示涉及安全场景(钓鱼网站、攻击链、防火墙绕过等)时:
assets/tcp-visualization.html — TCP 三次握手assets/ipv4_datagram-3d.html — IPv4 数据报 3D 展示assets/router-routing-table.html — 路由表动画assets/ethernet-frame.html — 以太网帧结构Prompt 参考见 references/prompts.md
© Unclecheng-li, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (references, assets) in skills/network-protocol-viz of Unclecheng-li/AI_Animation.
Open the folder on GitHubat commit d9c521f
Network Protocol Viz next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Network Protocol Viz this skillUnclecheng-li/AI_Animation | 1.5k | — | ~448 | Automated safety check: Pass | MIT | |
| D3 Vizcalesthio/OpenMontage | 65k | 3 repos | ~5.4k | Automated safety check: Pass | AGPL-3.0 | |
| Pseudotime Trajectory Vizaipoch/medical-research-skills | 2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Facs Gating Viz Styleaipoch/medical-research-skills | 2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Data Viz Rendererzebbern/claude-code-guide | 4.7k | — | ~1.3k | Automated safety check: Pass | MIT | |
| I4h Lerobot VizNVIDIA/skills | 3.5k | 1 repos | ~976 | Automated safety check: Pass | Apache-2.0 |
calesthio/OpenMontage
Creating interactive data visualisations using d3.js. An agent skill from calesthio/OpenMontage.
aipoch/medical-research-skills
Analyze data with pseudotime-trajectory-viz using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
aipoch/medical-research-skills
Use facs gating viz style for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
zebbern/claude-code-guide
Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards.
NVIDIA/skills
Serve and visually inspect a converted LeRobot dataset in the browser.
automateyournetwork/netclaw
Turn a network topology into one stylized, AI-generated still image via a self-hosted ComfyUI instance — reuses the same topology model as threejs-network-viz (any of 8 topology-source integrations…
Unclecheng-li/AI_Animation
Builds validated architecture, workflow, sequence, data-flow and lifecycle diagrams as standalone interactive HTML from a small JSON spec, with optional motion and image export.
Unclecheng-li/AI_Animation
Produces one self-contained HTML animation page per video shot, sharing a cinematic player base but giving each page its own visual style, sound cues and characters.
Unclecheng-li/AI_Animation
Generates a single-file HTML presentation that pairs a narrated sidebar with a 3D card carousel, for walking through protocols, product features or step-by-step processes.
Unclecheng-li/AI_Animation
Turns a product, lesson or script into a cinematic web animation staged inside a realistic phone interface, with lock screens, chats, settings and a virtual-clock player.
Unclecheng-li/AI_Animation
Turns a local CSV or JSON file, or data fetched from an approved source, into an editable data-visualization video by adapting HyperFrames templates.
Unclecheng-li/AI_Animation
Generates a single-file HTML animation in which white argument cards pop up in turn, older ones stack to the left and data widgets animate in, timed to a voiceover.
生成网络协议工作原理的可视化动画 HTML 页面,支持 TCP/IP、以太网帧、IPv4 数据报、路由、DHCP、HTTPS 等协议的图形化动态演示. Network Protocol Viz is an agent skill from Unclecheng-li/AI_Animation.
Run `npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a claude-code`. Or copy the skill folder (skills/network-protocol-viz in Unclecheng-li/AI_Animation) into .claude/skills/network-protocol-viz in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a codex`. Or copy the skill folder (skills/network-protocol-viz in Unclecheng-li/AI_Animation) into .agents/skills/network-protocol-viz in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Unclecheng-li/AI_Animation --skill network-protocol-viz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/network-protocol-viz, .gemini/skills/network-protocol-viz, .github/skills/network-protocol-viz and .opencode/skills/network-protocol-viz in your project.
SKILL.md names no scripts, command-line tools or credentials: Network Protocol Viz is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Network Protocol Viz is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 448 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 504 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Network Protocol Viz: D3 Viz (calesthio/OpenMontage, 65k stars), Pseudotime Trajectory Viz (aipoch/medical-research-skills, 2k stars), Facs Gating Viz Style (aipoch/medical-research-skills, 2k stars) and Data Viz Renderer (zebbern/claude-code-guide, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Unclecheng-li (a GitHub user) maintains it in Unclecheng-li/AI_Animation, which has 1,457 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 5, 2026.
Source: Unclecheng-li/AI_Animation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.