julie: Skill for Claude Code

Web Research

Fetch web pages, index them locally, and read selectively using Julie's tools. This replaces dumping entire web pages into context (which wastes thousands of tokens) with a workflow that indexes the content and lets you pull out just the sections you need.

Prerequisites

browser39 must be installed. Check with:

which browser39

If missing, tell the user to download the latest binary release from browser39 releases and add it to their PATH.

Workflow

Step 0 (Optional): Discover URLs from a Topic

If the user gave a research topic rather than a specific URL, find candidate pages first:

browser39 search "your research topic" --output json > /tmp/b39-search.json

Parse the links[] array and pick the URLs worth fetching. Skip this step when the user already provided URLs.

Step 1: Fetch and Save

Determine the target file path from the URL. The directory structure mirrors the URL:

docs/web/
  docs.rs/axum/latest.md
  developer.mozilla.org/Web/API/Fetch_API.md
  github.com/tokio-rs/tokio.md

Fetch the page and save directly to the target file. Never print full page content to stdout.

# Fetch (rm ensures no stale results — --output appends, not overwrites)
echo '{"id":"1","action":"fetch","v":1,"seq":1,"url":"THE_URL","options":{"selector":"article","strip_nav":true,"include_links":true}}' > /tmp/b39-cmd.jsonl
rm -f /tmp/b39-out.jsonl
browser39 batch /tmp/b39-cmd.jsonl --output /tmp/b39-out.jsonl

# Extract markdown directly to file (no stdout leak)
mkdir -p docs/web/TARGET_DOMAIN/TARGET_PATH_DIR
python3 -c "
import sys,json
with open('/tmp/b39-out.jsonl') as f:
    for line in f:
        d=json.loads(line)
        md = d.get('markdown','')
        if md:
            with open('docs/web/TARGET_DOMAIN/TARGET_PATH.md','w') as out:
                out.write(md)
            print(f'Saved {len(md)} chars to docs/web/TARGET_DOMAIN/TARGET_PATH.md')
"