plannotator

朋友们，我发现一个超级哇塞的技能 plannotator/effective-html 现在已经有不少不错的工具可以画出好看的项目架构图，但大多是静态的，不能交互。今天分享的这个不一样，它是会动的！ 它会根据项目的 logo、主题风格等信息，生成对应的架构图。 不仅如此，它还能分析代码，找出核心节点，生成节点信息和节点关系。每个节点都可以点击，右侧会显示该节点的详细信息。 最终产物是一个 HTML 文件：展示核心架构和工作流程，并且支持动画自动演示调用流程。这个挺有意思，以后读新项目代码可以先用它。

让 AI 用 HTML 画原型和图表。 该项目能够让 AI 智能体生成可直接在浏览器中打开的 HTML 可视化内容，包括报告、交互式原型、计划路线图、架构和流程图等。 地址：plannotator/effective-html t.co

@smcllns Claude Code, Pi, OpenCode all have really robust plugin systems. If you point your agent at my inbox code, you'll see that I basically created a custom extension for each. It works very well (it's in the main repo, MIT/Apache so take whatever): backnotprop/plannotator @ClaudeDevs Mods 🔥 @pidotdev Extensions 🔥 @OpenAI Plugins 🔥 @OpenAIDevs 😔 (They have lacked serious integration for a long time... We can hope that MCP events brings it all up to speed, but the spec is very early, and so is implementation) --- another reference for the plugin approach: plannotator/byoa

herdr-annotate: Annotate terminal text, review documents and agent replies, and send the feedback straight back to the agent (0.7k stars) What it does All text below is quoted directly from the project README. >Annotate inside Herdr: comment on any terminal text, review whole Markdown documents and your agent's replies, and send the feedback straight back to the agent. Annotate terminal text: - Ctrl+B A: comment on the selected text · Ctrl+S saves - Ctrl+B Shift+A: copy all annotations as Markdown - Ctrl+B Ctrl+A: copy all annotations as Markdown, then archive them - Ctrl+B Ctrl+V: paste all annotations into the focused agent's prompt without sending, then archive them - Ctrl+B Ctrl+S: send all annotations as the focused agent's next message, then archive them - Full: annotate terminal text, review documents and agent replies, send feedback to the agent. - Lite: the simple version: select text, prefix+a, comment in a popover. >herdr plugin install plannotator/herdr-annotate Repository plannotator/herdr-annotate Repository stats |Metric|Value| |:-|:-| |Stars|684| |Forks|24| |Last release|None| |Languages|Rust 51.8%, Python 23.2%, PowerShell 17.8%| |Contributors|8| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|claude: 2| |AI co-authored commits|Claude: 2| Main contributor |Field|Value| |:-|:-| |Name|Michael Ramos| |GitHub|@backnotprop| |Commits to this repo|46 (top contributor)| |Bio|github is the fun stuff. day to day is complex critical systems, mostly involving AI.| |Company / Location|CA, prev DC.| |X / Twitter|@backnotprop| |Followers|1,500| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.

一组用于创建实用、自包含HTML成果的专用智能体技能，覆盖从低保真线USB到可交互原型。 🔗 plannotator/effective-html 不安装也能使用！👇 🔗 38 个示例：effectivehtml.com ⚠️ MIT 协议可商用，不安装也能直接当参考文档用

@fabienpenso inline comments/annotations, for example: plannotator/herdr-annotate