

VSCode-compatible extension for specification and source code consistency checking

A tool to view Markdown files beautifully

A Markdown view & edit app specialized in beautifully displaying and making Markdown files easy to read.

開発者にしか需要無!改行コード表示するHTML

Display the character encoding of the file.

Just enter a URL and invisible risks become visible. We identify weaknesses lurking in "just working" services across 10 categories in technology, operations, data, and legal affairs, covering a total of 100 elements.

This is an app that can convert .html logs output by CocoFolia into .md and .txt formats for easier viewing later. The markdown has a preview function as well. The purpose is to load logs into AI. (It's convenient for creating summaries and such.)

CodeDiff Checkerは、2つのコードやテキストの差分を視覚的に確認できる無料のオンラインツールです。登録不要・インストール不要で、ブラウザだけで使えます。コードはサーバーに送信されないため

Auto-generate table of contents from markdown

This is a Mermaid Editor-type application that can directly convert Mermaid into flowcharts and mind maps. Compared to existing editors, it allows you to freely customize the appearance and styling. As a trial, we've equipped it with Google's Built-in AI functionality, so you can output code in Mermaid format within the app. However, since this requires various setup procedures, if it's too much trouble, you can simply paste code that you've generated from ChatGPT, Gemini, or similar services directly into the app.

Refer to official AWS information and have AI respond immediately!

Seller SEO & Ad Rank Checker is a Chrome extension for Amazon. You can bulk retrieve SEO rankings, ad rankings, and recommended badges by simply entering ASINs and keywords.

Automatically detect security risks in web applications and websites and display them as scores

Across 113 Programming Languages. Legacy Migration Triage with Claude API

Get notified with sound + voice reading when Claude Code or Codex finishes. You can tell which one finished just by listening. With VOICEVOX integration, you can even have Zundamon speak.

AI Knowledge Fusion Device Collect, create, correct, dig deeper, manage, listen with your ears openManidoc becomes an excellent app depending on your ideas

AA (ASCII art) is convenient when conveying UI images to LLMs (AI). While you could try to convey images visually, that only works with multimodal-capable models. However, with AA, even LLMs with very low parameters can read and understand it. You can convey UI images without being limited by the model type. Plus, with AA, you can make edits in a text editor. No specialized tools are needed. However, creating AA is difficult. That's why I created a tool that makes it easy to generate AA by arranging parts in a PowerPoint-like interface. It supports .md, .txt, and .png output. It has layer separation functionality, real-time preview, and the ability to load and reference images while creating, so I believe it has sufficient performance for practical use.

Desktop app that displays a list of PDF file thumbnails

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Zero Data Leakage Browser-Based PDF Editing Features 🔹Convert PDF to Excel/CSV/Images 🔹Merge Multiple Files & Split Specified Ranges 🔹Intuitive Handwritten Signature Embedding 🔹Page Rotation

読んだ知識を使える知識に

A draft support tool that completes your request to Claude just by filling in items. One-click copying from template to completion.

Just choose, and AI can create that design accurately.

AI-made sites and apps - what's still needed before launch? Diagnosis with 5 questions, free.

This is a web editor created primarily for writing TRPG scenarios that does not communicate externally. It reads folders stored on your PC and allows you to edit them on the web. (Uses File System Access API) It's basically a Markdown editor with some extra features, but you can choose between two editing modes: MD + Preview dual-pane editing and rich text editing like Word or Google Docs, with seamless mode switching. In addition to image importing, it supports LaTeX notation, code block display, and internal links (like [[this]]). You can export specific files or all designated files with switchable order to PDF. It can also read fonts stored on your PC. (Uses Local Font Access API) You'll start by selecting a folder to work in. Since you need to read and edit existing .md files, please create an empty file first. ※ Since this uses File System Access API and Local Font Access API, the recommended browsers are Chrome / Edge.
This is a VSCode extension I created to verify whether the "variable function specifications" that I have AI generate during app development actually match the actual code. In addition to VSCode, it should basically be usable in IDEs where extensions can be installed in VSIX format. This time, I experimentally created it using HFSM (Hierarchical Finite State Machine).
Using AST via tree-sitter, it checks whether variables and functions in the specification are actually used in the actual source code (or vice versa), notifies of unused variables and functions that are not called from anywhere, and performs consistency checks on dependency relationship mappings.
The supported programming languages are:
Rust, TypeScript, JavaScript, Python, Go, C, C++, C#, Ruby, Swift, Kotlin, and Java. It searches for 関数名 and similar markers after heading level 3 (###) and performs checks on the corresponding line numbers and consistency.
When any errors are discovered, a dedicated MD file is created. You can show it to the AI and have it make corrections.
Error messages and other content are also multilingual, supporting:
Japanese, English, Simplified Chinese, Traditional Chinese, Korean, French, German, Spanish, Estonian, and Vietnamese.
A docs/variables'n'functions folder is created in the project folder, and files named [language]filename.md are created.
While I haven't specified a strict format, since function names and such generally come after heading level 3 in MD files, this time I've implemented parsing of heading level 3 and inline display in MD files. If you're concerned about this, feel free to modify the prompt as you like.
※Due to character limits, I couldn't include the prompt in this explanation section. Please check the DocsAuditor section of this note.
https://note.com/dandy_viper3242/n/n60059c786742
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