Skills chrome-bookmark-summarizer

Reads Chrome bookmarks and extracts URLs by a user-provided folder name, then generates batch webpage summaries. Use when the user mentions Chrome bookmarks/favorites, bookmark folders, link summarization, or asks to summarize sites under a bookmark folder.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/blacker521/chrome-bookmark-folder-summarizer" ~/.claude/skills/openclaw-skills-chrome-bookmark-summarizer && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/blacker521/chrome-bookmark-folder-summarizer" ~/.openclaw/skills/openclaw-skills-chrome-bookmark-summarizer && rm -rf "$T"
manifest: skills/blacker521/chrome-bookmark-folder-summarizer/SKILL.md
source content

Chrome Bookmark Summarizer

Extract webpages from a Chrome bookmark folder (based on the user-provided folder name) and produce structured summaries.

When to Use

  • The user mentions "Chrome bookmarks", "favorites", "bookmark folder", or "summarize saved links"
  • You need to batch-read links by folder name and produce summaries
  • You need to filter URLs from a local bookmarks file before summarizing webpage content

Workflow

  1. Confirm input parameters

    • Required: target folder name (for example,
      AI Research
      )
    • Optional: match mode (
      exact
      or
      contains
      )
    • Optional: whether to recurse into subfolders (default: recursive)
  2. Run the extraction script (JSON output)

python3 "scripts/extract_chrome_bookmarks.py" --folder "AI Research"

Common options:

# Fuzzy folder-name matching
python3 "scripts/extract_chrome_bookmarks.py" --folder "AI" --match-mode contains

# If multiple folders share the same name, return only the first match
python3 "scripts/extract_chrome_bookmarks.py" --folder "AI Research" --pick-first

# Extract only direct links (no subfolders)
python3 "scripts/extract_chrome_bookmarks.py" --folder "AI Research" --non-recursive
  1. Parse output and handle errors

    • ok=false
      : return a clear error to the user (folder not found, invalid path, etc.)
    • ok=true
      : read
      results[].urls[]
      for downstream summarization
  2. Batch webpage summarization

    • Fetch page content for each URL (prefer full body text; fall back to title + short description on failure)
    • Recommended output structure:
      • Page title
      • Core takeaway (1-2 sentences)
      • Key points (2-4 bullets)
      • Relevance to user goal (one sentence)
  3. Final aggregation

    • Keep the original bookmark order
    • Add a cross-page comparison at the end:
      • Shared themes
      • Differing viewpoints
      • Recommended reading order

Output Template

## Folder: {folder_name}

### 1) {page_title}
- URL: {url}
- Core takeaway: {summary}
- Key points:
  - {point_1}
  - {point_2}
  - {point_3}
- Relevance: {relevance}

### 2) {page_title}
...

## Cross-Page Summary
- Shared themes: ...
- Differences: ...
- Suggested reading order: ...

Notes

  • Default Chrome bookmarks path on macOS:
    • ~/Library/Application Support/Google/Chrome/Default/Bookmarks
  • If the user has multiple Chrome profiles, ask for a specific
    Bookmarks
    file path and pass it with
    --bookmarks
    .
  • Duplicate folder names may exist; by default all matches are returned. Use
    --pick-first
    to keep only one.