SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap.

MITAuto-check: notesMarketing & SEO

Install Ink SEO

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill ink-seo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace ink-seo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/ink-seo .claude/skills/ink-seo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ink-seo
GitHub stars
2.8k
Token cost
~1.4k tokens
SKILL.md length
396 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap.

  • Works in 6 steps: Gather Context → Keyword Research Framework → Competitive Keyword Gap Analysis → …
  • Asked to improve our SEO
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ink SEO is an agent skill from jeremylongshore/tons-of-skills-marketplace. SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap. Use when asked to "improve our SEO", "do keyword research", "build a topic cluster", or "why aren't we ranking".

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Keyword research and Content strategy. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to improve our SEO
  • Do keyword research
  • Build a topic cluster
  • Why arent we ranking

Example prompts

  • “improve our SEO”
  • “do keyword research”
  • “build a topic cluster”
  • “/ink-seo”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Gather Context
  2. Keyword Research Framework
  3. Competitive Keyword Gap Analysis
  4. Design Topic Cluster
  5. On-Page Audit
  6. Produce SEO Roadmap

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ink SEO loads about 1.4k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 396 words, ~1,359 tokens.

Download SKILL.mdSave it as .claude/skills/ink-seo/SKILL.md (or your agent's skills folder).
name
ink-seo
description
SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap. Use when asked to "improve our SEO", "do keyword research", "build a topic cluster", or "why aren't we ranking".
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.1.0
author
tonone-ai <hello@tonone.ai>
license
MIT

SEO Strategy

You are Ink — the content marketing engineer on the Product Team. Build the keyword architecture and topic cluster that compounds into organic traffic.

Steps

Step 0: Gather Context

Before researching:

  • What product category is this? (e.g., "developer workflow automation", "AI agent framework")
  • Who is the target ICP? (role, company size, problem they're solving)
  • What stage is the company at? (Stage 1: niche depth, Stage 2: cluster expansion, Stage 3: category ownership)
  • What content exists already?
  • What is organic search currently contributing to signups? (none / some / significant)
Step 1: Keyword Research Framework

Tier 1 — Head keywords (high volume, high difficulty) For category awareness. Hard to rank without authority. Build toward these. Example: "developer productivity tools", "AI engineering team"

Tier 2 — Mid-tail keywords (medium volume, medium difficulty) Best ROI for Stage 1-2. Specific enough to match ICP intent, achievable to rank. Example: "automate code review with AI", "AI pair programmer for teams"

Tier 3 — Long-tail keywords (low volume, low difficulty) Easiest to rank, most specific to pain. Start here. Example: "how to run security audit without security team", "replace standup meetings with AI"

Strategy by stage:

  • Stage 1: Focus on Tier 3 exclusively. 10 well-ranking long-tail posts beat 1 barely-ranking head keyword.
  • Stage 2: Own Tier 2 topics. Build Tier 1 pillar pages.
  • Stage 3: Compete for Tier 1. Create category-defining content.
Show full SKILL.md (174 more words)Show less
Step 2: Competitive Keyword Gap Analysis

Use WebSearch to map competitor content:

Queries to run:
1. site:[competitor.com] — what pages exist?
2. "[competitor] [product category]" — what are they ranking for?
3. "[product category] guide/tutorial/how-to" — who dominates?
4. "[ICP role] [pain]" — who's answering the ICP's questions?
5. "alternatives to [competitor]" — who's capturing comparison intent?

For each competitor, identify:

  • Topics they rank for that you don't have content on
  • Topics they rank weakly on (position 4-15) that you could beat
  • Topics they've missed entirely (gaps)
Step 3: Design Topic Cluster

A topic cluster = one pillar page + 5-10 cluster posts + internal linking.

Produce a cluster map:

PILLAR PAGE: [Core topic — e.g., "AI Engineering Team: Complete Guide"]
Target keyword: [head or mid-tail]
Estimated word count: 2,500-4,000w

CLUSTER POSTS:
1. [Subtopic post] — keyword: [long-tail] — intent: [informational/tutorial]
2. [Subtopic post] — keyword: [long-tail] — intent: [...]
3. [Comparison post] — keyword: "[pillar topic] vs [alternative]"
4. [Use case post] — keyword: "[pillar topic] for [specific role/company type]"
5. [How-to post] — keyword: "how to [core action with product]"
...

INTERNAL LINK PLAN:
- Pillar → all cluster posts
- Each cluster post → pillar
- Each cluster post → 1-2 sibling cluster posts
Step 4: On-Page Audit

Audit existing pages for SEO issues:

bash
# Find pages with potential SEO issues
find . -name "*.tsx" -o -name "*.jsx" -o -name "*.md" 2>/dev/null | xargs grep -l "title\|meta\|description\|canonical" 2>/dev/null | head -20

Common on-page issues:

  • Missing or duplicate title tags
  • Missing meta descriptions
  • H1 missing keyword
  • Thin content (under 600 words for important pages)
  • No internal links from/to high-value pages
  • Slow page load (check with benchmark skill)
  • Missing alt text on images
  • Duplicate content without canonical
Step 5: Produce SEO Roadmap
markdown
# SEO Roadmap — [Product Name]

**Current organic state:** [none/early/growing/channel]
**Stage focus:** [Stage 1: long-tail / Stage 2: clusters / Stage 3: category]

## Priority Keyword Targets (next 90 days)

| Keyword   | Volume    | Difficulty     | Intent            | Content to create          |
| --------- | --------- | -------------- | ----------------- | -------------------------- |
| [keyword] | [est vol] | [low/med/high] | [info/commercial] | [new post/update existing] |
| ...       |           |                |                   |                            |

## Topic Cluster Map

[cluster architecture from Step 3]

## On-Page Fixes (quick wins)

1. [Fix] — [page] — [impact]
2. [Fix] — [page] — [impact]
   ...

## 90-Day Content Plan

Month 1: [2-3 long-tail posts]
Month 2: [2-3 posts + pillar outline]
Month 3: [Pillar page + internal linking pass]

## What to Measure

- Organic sessions (monthly, not weekly)
- Keyword rankings for target terms
- Click-through rate from search (impressions → clicks)
- Organic signup attribution

Delivery

Produce the complete SEO roadmap with topic cluster map and prioritized 90-day content plan. Be specific about keywords and content types — no generic "write more content" recommendations.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. If output exceeds 40 lines, delegate to /atlas-report.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/ai-agency/tonone/skills/ink-seo of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Ink SEO next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ink SEO compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ink SEO this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.4kAutomated safety check: NotesMIT
SEO Keyword ClusteringAgriciDaniel/claude-seo19k2 repos~3.3kAutomated safety check: PassMIT
SEO Content Brief GeneratorAgriciDaniel/claude-seo19k2 repos~2.6kAutomated safety check: PassMIT
Strategic SEO PlanningAgriciDaniel/claude-seo19k5 repos~1.1kAutomated safety check: PassMIT
Blog ClusterAgriciDaniel/claude-blog2.3k1 repos~4.9kAutomated safety check: PassMIT
SEO Content Briefseranking/seo-skills161—~2.5kAutomated safety check: PassMIT

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Categories

Questions about Ink SEO

What does Ink SEO do?

SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap. Ink SEO is an agent skill from jeremylongshore/tons-of-skills-marketplace. SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap.

When should I use Ink SEO?

Ink SEO fits situations like: asked to improve our SEO; do keyword research; build a topic cluster; why arent we ranking.

How do I install Ink SEO in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill ink-seo -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/ink-seo in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/ink-seo in your project. Claude Code loads it when a task matches its description.

How do I install Ink SEO in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill ink-seo -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/ink-seo in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/ink-seo in your project. Codex loads it when a task matches its description.

Can I use Ink SEO in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill ink-seo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ink-seo, .gemini/skills/ink-seo, .github/skills/ink-seo and .opencode/skills/ink-seo in your project.

What does Ink SEO need to run?

SKILL.md names no scripts, command-line tools or credentials: Ink SEO is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.

Does Ink SEO access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ink SEO safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Ink SEO use?

Ink SEO is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ink SEO use?

About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ink SEO?

Skills that share tags, products or a category with Ink SEO: SEO Keyword Clustering (AgriciDaniel/claude-seo, 19k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), Strategic SEO Planning (AgriciDaniel/claude-seo, 19k stars) and Blog Cluster (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ink SEO?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.