google-search-ads-analytics-docslisted
Install: claude install-skill bsisduck/google-search-ads-analytics-docs
# Google Search / Ads / Analytics docs - knowledge base
A curated, validated corpus of **304 official Google documentation pages** under
`Docs/`, covering four products. Provide **precise, cited** answers; do not guess
when the answer is in the corpus.
## What's inside
- `Docs/README.md` - master map (start here).
- `Docs/<section>/README.md` - 17 section indexes (tables of contents).
- `index.json` (bundled) - every doc's `title`, `section`, `product`, `source_url`.
- `search.py` (bundled) - frontmatter-aware ranking search (stdlib).
Products: **Google Search Central** (SEO/crawling/indexing/structured-data),
**Search Console** (reports), **Google Ads** (campaigns/conversions),
**Google Analytics 4** (collection gtag.js + Measurement Protocol).
## Retrieval playbook - follow in order
1. **Search first.** Best quality is **hybrid** (lexical + semantic, RRF-fused -
eval: 96% recall@5). Needs the repo venv:
```bash
.venv/bin/python3 .claude/skills/google-search-ads-analytics-docs/hybrid.py "<the user's question>"
```
Fast when the daemon runs (`.venv/bin/python3 scripts/serve_models.py`).
**Stdlib fallback (no venv):** `python3 .claude/skills/google-search-ads-analytics-docs/search.py
"<terms>"` - lexical, stem-aware, ~0.4s, works anywhere.
All return ranked docs with `title`, `path`, `source_url`, `snippet`.
Examples: `"block a page from indexing"`, `"product structured data with price and rating"`,
`"submit a sitemap"`, `"track GA4 events w