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Web Clipper to Notes

'I'll save this to read later' is where ideas go to die — bookmarks pile up, read-later apps overflow, clipped articles sit unprocessed. Web Clipper to Notes converts a URL into something that actually belongs in a knowledge system instead of a graveyard.

What this skill does

The web is where most people encounter new ideas, and it's also where most of those ideas die. The problem isn't capture — it's that raw web content doesn't fit a knowledge system. No frontmatter, no tags, no links to anything you already know. It's a foreign object in your vault. The skill makes web content native: structured note, source preserved cleanly, key ideas extracted as claims (not summaries), tags from your existing taxonomy, and suggested connections to notes you probably already have.

Effort gets matched to value via three tiers. Tier 1 (30 seconds) for reference content — recipes, documentation, how-tos. Clean markdown, frontmatter, source link, minimal extraction. Tier 2 (2 minutes) for articles and essays with ideas worth keeping — the default. Frontmatter plus key ideas as claims, two or three quotes only if they say something better than you could paraphrase, plus connection suggestions. Tier 3 (5 minutes) for foundational pieces — full literature note with idea cards, connection map, and integration suggestions. For batches of five or more URLs, the skill does a Tier-1 triage pass first, then asks which deserve deeper treatment. This prevents spending five minutes on something that turns out to be a duplicate of an article you clipped last month.

Frontmatter is opinionated and consistent. Title cleaned up. Author preserved (critical for credibility assessment later). Canonical URL with tracking parameters stripped — no utm_source, no fbclid, no Medium tracking garbage. Publish date if available, "unknown" if not (so you can find "articles I clipped without dates" later). Tags from your existing taxonomy, never invented on the fly — #psychology and #negotiation, not #cognitive-bias-anchoring-in-salary-negotiation. Granular tags help nobody; that's what wikilinks are for.

Two principles deliberately stay rigid. The My Reaction section is always present and always blank — it's the prompt that turns a clip into knowledge, and pre-filling it removes the only thing that forces you to actually think about what you saved. And the skill is honest about content quality: if an article is mostly fluff with one good paragraph, you get "one idea worth keeping from an otherwise thin article" — not manufactured value to justify the clip. A vault full of inflated clip notes is just a bookmarks folder with extra steps.

When this triggers

  • ·You're saving an article to Obsidian and want it processed properly, not raw-pasted
  • ·You've got a backlog of clipped URLs and need them turned into linked notes
  • ·You want frontmatter, tags, and connection suggestions handled at clip-time, not later
  • ·You're processing a batch of 5+ URLs and want a triage pass before deep work
  • ·You want tracking parameters stripped, paywalls flagged, and ephemeral content noted

Example

Trigger

User pastes a long-form essay URL and says: 'Add this to my vault.'

Output

Tier 2 — Idea Extraction (default for articles). --- title: "The Hidden Cost of Context Switching" author: "Jane Doe" source: "https://example.com/context-switching" date-published: 2024-09-12 date-clipped: 2026-05-21 type: web-clip status: seed tags: [#psychology, #productivity, #article] --- # The Hidden Cost of Context Switching ## Summary Argues that the cost of switching tasks isn't the switch itself — it's the residual attention left on the previous task. ~23 minutes to fully recover. ## Key Ideas · **Attention residue is the real cost**: switching is cheap, recovery is expensive. · **The 23-minute number is from 2018 UC Irvine research**, not folk wisdom. ## Connections · Relates to [[Cognitive Load]] · Supports [[Deep Work Blocks]] ## My Reaction [blank — for you to fill in]

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What you get

  • 141-line SKILL.md, ready to drop into ~/.claude/skills/
  • Tested through 3 Karpathy-loop iterations (versions v1.0.0 → v1.3.0)
  • Triggers automatically when relevant — no command to remember
  • Lifetime updates as the skill is refined further

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