Converts any website into an installable AI skill folder by crawling all pages and packaging them as searchable markdown with frontmatter summaries. Use when asked to: create a website search skill, index a website for AI agents, scrape a site into a searchable knowledge base, turn a website into an offline-searchable skill, or make website content available to AI agents without live browsing. Outputs an installable skill folder plus the exact npx command to add it to any AI agent.
Install
npx skillscat add chirag2653/website-to-skill-folder Install via the SkillsCat registry.
Website-to-Skill Pipeline
Runs scripts/pipeline.py to crawl a website and produce an installable skill folder.
The script handles everything — no need to read it.
1. Locate the Skill
SKILL_DIR="$HOME/.agents/skills/website-to-skill-folder"
[ -d "$SKILL_DIR" ] || SKILL_DIR=$(find "$HOME/.agents/skills" "$HOME/.claude/skills" \
-maxdepth 2 -type d -name "website-to-skill-folder" 2>/dev/null | head -1)
echo "Skill dir: $SKILL_DIR"2. Pre-flight Checks
Run these in order before the pipeline. Fix anything missing before proceeding — do not skip.
Python (required: 3.8+)
python --version 2>&1 || python3 --version 2>&1- If
pythonis Python 2 or not found, usepython3for all commands below. - If neither is found: tell the user to install Python 3.8+ and stop.
Python packages (one-time)
python -c "import requests, pydantic, tenacity; print('OK')" 2>&1If ModuleNotFoundError: install and retry before proceeding.
pip install requests pydantic tenacityFirecrawl API key
python -c "import os; print('set' if os.environ.get('FIRECRAWL_API_KEY') else 'missing')"If missing: stop and ask the user for their Firecrawl API key.
Tell them: "A Firecrawl API key is needed to crawl websites. Get a free key at https://firecrawl.dev — no credit card required."
Once they provide it, use it inline in the run command below (Step 3).
3. Run the Pipeline
Inline both the skill path and the API key so the command is self-contained:
FIRECRAWL_API_KEY="fc-their_key_here" python "$HOME/.agents/skills/website-to-skill-folder/scripts/pipeline.py" https://example.comIf the skill was installed to a different location (check Step 1 output), substitute that path:
FIRECRAWL_API_KEY="fc-their_key_here" python "$SKILL_DIR/scripts/pipeline.py" https://example.comOptions:
| Flag | Purpose |
|---|---|
--description "..." |
One-line site description for the generated SKILL.md |
--max-pages 100 |
Limit pages scraped — directly controls Firecrawl credit cost |
--skip-scrape |
Reassemble from cache — zero API calls |
--force-refresh |
Ignore cache, re-scrape all pages |
4. Install the Output Skill
When the pipeline finishes, it prints the exact install command with the real absolute path
to the skill folder it just built. It looks like this (path will differ on your machine):
Install / update skill in agents:
Claude Code:
npx skills add "/Users/yourname/path/to/output/example-com-website-search-skill" -g -y -a claude-code
All agents:
npx skills add "/Users/yourname/path/to/output/example-com-website-search-skill" -g -yBefore running: Show the user the command printed by the pipeline and ask:
"The skill folder is ready. Shall I install it now so your agents can search [domain] offline?"
Only run the install command after the user confirms. Use the exact path from the pipeline
output — do not use the example path shown above.
If npx fails
npx skills requires Node.js. Check:
node --version 2>&1If not found: tell the user "Node.js is required to install the skill. Download it from
https://nodejs.org (LTS version) — it includes npx." Once they install it, re-run the
install command.
After installing, the user's agents can answer questions about the website offline.
Re-run the pipeline and re-run the install command any time to pick up new pages.
Cost
1 Firecrawl credit (map) + ~5 credits per page scraped.
Example: 100-page site ≈ 501 credits.
Incremental re-runs only pay for new or changed pages.