agentsclimarketplace

Web clip

Skill fuuuuuuma/ai-second-brain-kit/skills/web-clip

This skill should be used when the user wants to capture a web page / article / docs into their second brain vault as clean Markdown — stripping ads, navigation, and sidebars to save tokens. Trigger on "clip this URL", "save this article to my vault", "ingest this page into raw/", or when gathering source material for the knowledge base.From its SKILL.md

Install
npx -y skills add fuuuuuuma/ai-second-brain-kit --skill web-clip

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT License. Copyright (c) 2026 fuuuuuuma. Uses Defuddle (MIT, kepano).. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.1 KB, as published. Nobody here has run it

Web Clip — Webページを raw/ に取り込む

外部記事・ドキュメントをクリーンなMarkdownにして Vault の raw/ に保存するスキル。 広告・ナビ・サイドバーを除去してトークンを節約し、後段で wiki/ に構造化しやすい素材にする。

取り込み手順

  1. Defuddle CLI でページ本文だけを抽出する:
# 標準出力に出す
npx defuddle-cli parse https://example.com/article

# raw/ にファイル保存(命名は rules/naming.md に合わせる)
npx defuddle-cli parse https://example.com/article -o "raw/2026-05-31-出典-記事タイトル.md"

# メタデータ付きで取りたいとき
npx defuddle-cli parse https://example.com/article --json
  1. 保存したファイルの先頭に、出典の frontmatter を付ける(templates/notes/source.md 準拠):
---
type: 出典
status: 処理済み
date: 2026-05-31
topic: テーマ
source_url: https://example.com/article
---
  1. ユーザーに「raw/ に取り込んだ。wiki/ に整理しますか?」と確認し、希望があれば second-brain スキルの構造化に渡す。

注意

  • raw/ は読み取り専用扱い(後から削除・改名しない)。取り込み時のみ書き込む。
  • ブラウザ拡張の Obsidian Web Clipper でも同じことが手動でできる(ワンクリックで raw/ へ)。CLIは自動化向け。
  • Defuddle は kepano/defuddle(MIT)。公式の kepano/obsidian-skills にも defuddle スキルがある。

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.