zensink/zens-ink-seo-package/zens-ink

Claude Code and agent skill by zensink/zens-ink-seo-package

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Free SEO toolkit for indie builders. 22 zero-dependency Python tools covering the full SEO workflow: keyword discovery (Google Autocomplete), keyword clustering (semantic grouping), keyword difficulty (SERP structure analysis, no Ahrefs needed), KGR opportunity scoring, search volume (Bing + Brave), real Ahrefs Domain Rating (free public API), search intent classification (keyword + SERP-based), content opportunity matrix, Query Fan-out content planning (GEO/AI search), Reddit blue-ocean keyword mining, competitor content gap analysis (sitemap comparison), technical site audit (broken links, orphan pages, missing canonicals/H1/meta), on-page quality scoring (7 dimensions, 0-100 per page), robots.txt AI-crawler policy audit (AI-readiness score), llms.txt generation, pre-publish content QC, keyword rank tracking (SQLite history), and real ranking data (Google Search Console). Ships an MCP stdio server so any agent can drive every tool. Pure Python stdlib — no pip install required beyond this package. Optional API keys unlock volume data but all core tools work without any keys.

Install

npx vskill@latest install zensink/zens-ink-seo-package/zens-ink

Semi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard

SKILL.md

ZensInk — Free SEO Toolkit for Indie Builders

Setup (one-time)

bash
pip install zens-ink

After install, zens-ink command is available globally. Verify:

bash
zens-ink --help

All 13 tools can also be run as Python modules:

bash
python3 -m zens_ink.keyword_research "tarot meaning"

The 16 Tools (site_audit now includes agent-readiness checks)

Keyword Discovery
1. keyword_research — Discover Keywords (FREE, no API key)

Mines Google Autocomplete for long-tail keyword variations.

bash
zens-ink keyword_research "tarot meaning"
zens-ink keyword_research "tarot meaning" --expand # a-z deep discovery
zens-ink keyword_research "塔罗牌" --lang zh # Chinese keywords
zens-ink keyword_research "tarot meaning" --json # JSON output
2. keyword_cluster — Semantic Grouping (FREE, no API key)

Groups raw keyword lists into topic clusters based on word overlap similarity.

bash
echo "tarot reading\ntarot cards\nfree tarot" | zens-ink keyword_cluster --stdin
zens-ink keyword_cluster -f keywords.txt --threshold 0.2
zens-ink keyword_cluster -f keywords.txt --csv output.csv
Difficulty & Opportunity
3. kd — Keyword Difficulty (needs SERPER_API_KEY, free 2500/mo)

SERP structure analysis — no expensive Ahrefs DR data needed. Outputs GO / CAUTION / WAIT / AVOID.

bash
zens-ink kd "tarot reading"
zens-ink kd "bazi calculator" --lang zh
4. kgr_auto — KGR Opportunity Scoring (FREE scoring, optional Bing key for volume)

Automated keyword opportunity scoring using the Keyword Golden Ratio methodology.

bash
zens-ink kgr_auto "tarot" "tarot reading" "free tarot"
zens-ink kgr_auto -f keywords.txt
Search Volume
5. keyword_volume — Search Volume (needs BING_API_KEY, free)

Real monthly search volume from Bing Webmaster API.

bash
zens-ink keyword_volume "tarot meaning" --lang en
6. brave_volume — Alternative Volume (needs BRAVE_API_KEY, free 2000/mo)

Supplements Bing volume data. Especially useful when Bing returns 0 for Chinese keywords.

bash
zens-ink brave_volume "tarot reading" --count 5
Intent & Content Strategy
7. search_intent — Intent Classification (FREE, no API key)

Classifies each keyword as informational / commercial / transactional / navigational, with question/buyer/problem flags.

bash
zens-ink search_intent "buy tarot cards" "what is tarot" "best tarot deck"
zens-ink search_intent -f keywords.txt --json
8. content_matrix — Opportunity Matrix (FREE, no API key)

Combines clustering + intent + KGR into a prioritized content matrix: what to write, in what order, and why.

bash
zens-ink content_matrix -f keywords.txt
zens-ink content_matrix -f keywords.txt --json
Competitive Analysis
9. competitor_gap — Competitor Content Analysis (FREE, no API key)

Compares sitemaps to find topics competitors cover that you don't.

bash
zens-ink competitor_gap \
--url https://yoursite.com \
--compare https://competitor1.com https://competitor2.com
Technical SEO Audit
10. site_audit — Technical Site Audit (FREE, no API key)

Scans built HTML for 30+ issues: orphan pages, broken internal links, canonical/meta/H1 problems, GEO checks (llms.txt, FAQ schema, BLUF), plus agent-readiness checks — llms.txt must carry a when-to-use section and a how-to-call line so AI agents know which jobs your product fits.

bash
zens-ink site_audit --dist dist --sitemap dist/sitemap.xml
zens-ink site_audit --dist dist --sitemap dist/sitemap.xml --format json
11. onpage_audit — On-Page Quality Scoring (FREE, no API key)

7-dimension quality scoring per page: title, meta, headings, images, links, URL, content. 0-100 score with grade and fix suggestions.

bash
zens-ink onpage_audit --dist dist --sitemap dist/sitemap.xml
zens-ink onpage_audit --dist dist --keywords keywords.txt
Google Search Console
12. setup_gsc — Connect Google Search Console (FREE, one-time)

One-time OAuth setup for Google Search Console.

bash
zens-ink setup_gsc
13. search_performance — Real Ranking Data (FREE, needs setup_gsc)

Pulls actual Google Search Console data: impressions, clicks, CTR, average position.

bash
zens-ink search_performance
zens-ink search_performance --start 2025-01-01 --end 2025-06-30
zens-ink search_performance --query tarot
Off-Page Authority
14. domain_rating — Real Ahrefs DR (FREE public API, needs AHREFS_API_KEY)

Ahrefs exposes a free Domain Rating endpoint. Check your own site vs the domains currently ranking on your target SERPs — closes the off-page authority gap that kd.py's curated proxies could only approximate.

bash
zens-ink domain_rating example.com
zens-ink domain_rating a.com b.com c.com --json
zens-ink domain_rating --file serp-domains.txt --csv dr.csv
cat serp-domains.txt | zens-ink domain_rating # stdin pipe

Results are cached locally (dr-cache.json) so batch reruns never re-query. Attribution "Domain Rating by Ahrefs" is required by the DR License and kept in all outputs. Free key: app.ahrefs.com → Account settings → API keys.

15. content_qc — Pre-Publish Content Gate (FREE, no API key)

Grades a DRAFT before it ships — the publishing-side companion to site_audit/geo scoring. Catches BLUF absence, vague-claim density, missing FAQ, thin sourcing, and title/description length issues at the desk, not after Google re-crawls. Works on Markdown (with frontmatter) and HTML; directory mode averages a whole drafts folder. Exit code 1 below the gate score, so it drops straight into CI or a pre-commit hook.

bash
zens-ink content_qc draft.md
zens-ink content_qc drafts/ --min-score 75
zens-ink content_qc draft.md --format json

Checks: BLUF up front (w=15), fact density per 1k words (15), vague-word ceiling (10), outbound sources (10), H2 structure (10), FAQ block (10), internal links (5), question-format headings (5), lists/tables (5), title and description length (5+5), alt coverage (3), date signal (2).

16. llms_gen — Generate llms.txt + llms-full.txt (FREE, no API key)

Builds the two-tier AI discovery catalog from your static build or a remote sitemap: curated llms.txt (core pages) plus comprehensive llms-full.txt (every page with title/description, grouped by section). Skips admin/api/noindex routes automatically. Works with Astro/Next/Hugo dist directories or any sitemap.xml URL.

bash
zens-ink llms_gen --dist dist --site https://example.com
zens-ink llms_gen --sitemap https://example.com/sitemap.xml --site https://example.com
zens-ink llms_gen --dist dist --site https://example.com --name "MyBrand" --tagline "What you build"
17. ai_crawler_audit — robots.txt AI-Crawler Policy + llms.txt Audit (FREE, no API key)

Answers "who can actually read my content" at the crawler layer: 17 AI crawlers (training vs AI search, per vendor), Content Signals, sitemap declaration, and the llms.txt / llms-full.txt discovery layer, plus an AI-readiness score and plain-language notes. Distinguishes site-wide blocks from subpath-only blocks (Disallow /admin is not Disallow /). Pairs with llms_gen: audit what you have, generate what's missing.

bash
zens-ink ai_crawler_audit https://example.com
zens-ink ai_crawler_audit https://example.com --markdown report.md --json report.json

Typical Workflow

keyword_research → what should I target?
↓
keyword_cluster → group into topics
↓
search_intent → why do people search this?
↓
kd / kgr_auto → can I win? Is it worth it?
↓
keyword_volume → how many people search?
↓
domain_rating → how strong are the ranking domains?
content_matrix → what to write first?
↓
competitor_gap → what am I missing?
↓
site_audit → is my site technically healthy?
↓
onpage_audit → is each page optimized?
↓
search_performance → how am I doing?

API Key Setup (Optional)

Create a .env file in your project root:

env
BING_API_KEY=xxx # Free from bing.com/webmasters
BRAVE_API_KEY=xxx # Free 2000/mo from brave.com/search/api
SERPER_API_KEY=xxx # Free 2500/mo from serper.dev
AHREFS_API_KEY=xxx # Free DR API from app.ahrefs.com

Google Search Console: run zens-ink setup_gsc and follow the OAuth flow.

Going Further

ZensInk Pro adds automated workflow engines that go beyond individual tools: Winability Score (personalized KD based on YOUR domain's GSC data), Content Radar (weekly editorial calendar with angle suggestions), Competitor Radar (pricing/features/ Reddit sentiment), GEO Visibility (does AI mention your brand?), GEO Score (will AI cite your page? 5-layer 16-dimension scoring), and full 12-step automated audit with HTML report.

Learn more: https://zens.ink

Tech Notes

  • Zero dependencies: Pure Python stdlib. Only zens-ink package itself needs installing.
  • Cross-platform: macOS, Linux, Windows.
  • Privacy-first: All processing local. No telemetry, no tracking.
  • MCP server: python3 -m zens_ink.mcp (or zens-ink mcp) exposes all tools as native model tools via the MCP stdio protocol — works with DSH (@deepseek-ai/dsh-mcp-client), Claude Desktop, Codex. Zero extra dependencies.
  • Tests: python3 -m unittest discover tests — smoke-checks every tool imports, exposes main(), and stays stdlib-only.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
53
Repository forks
15
7-day trend score
0

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Extension points

  • hookPre/post lifecycle hooks

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