keyword-research

keyword-research is a skill for Claude Code from MoizIbnYousaf/marketing-cli. It costs 134 tokens per session (4,304 once invoked), scanned A, original, MIT.

A process for researching the words and phrases people type into search engines, then using them to plan content and improve search visibility.

In plain words
What is it for?
Use it to choose SEO topics, find content ideas, plan articles, and build a search-focused content plan.
Why use it?
It helps replace guesswork about blog topics and search traffic with research based on the brand, audience, and available search data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./campaigns/content-plan/{slug}.md.

Part of the marketing-cli plugin — 88 skills, 9 commands, 1 hook, 2 MCP servers shipped together

Good fit Use it to choose SEO topics, find content ideas, plan articles, and build a search-focused content plan.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cli
agentmods
npx agentmods add skills/moizibnyousaf/marketing-cli/keyword-research

Made for: Claude Code.

Or install marketing-cli, the plugin that ships this one along with the rest of its 88 skills, 9 commands, 1 hook, 2 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for keyword-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/keyword-research/github.svg)](https://agentmods.dev/skills/moizibnyousaf/marketing-cli/keyword-research)
Your own site
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/keyword-research"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/keyword-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for keyword-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/keyword-research"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/keyword-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,304 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00134 $0.04304
Opus 5 $0.00067 $0.02152
Sonnet 5 $0.00027 $0.00861
Haiku 4.5 $0.00013 $0.00430

Measured 10d ago against content hash b80556784d04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

keyword-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/keyword-research/SKILL.md · 470 lines

How it starts

The opening of the file, as written. The whole thing — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.

On Activation

  1. Check if brand/ directory exists in the project root.
  2. If it does, read available files: voice-profile.md, positioning.md, audience.md, creative-kit.md, stack.md, learnings.md.
  3. Apply any loaded brand context to enhance output quality.
  4. If brand/ does not exist, proceed without it — this skill works standalone.

Note: Examples below use fictional brands (Acme, Lumi, Helm). Replace with your own brand context.

Backend Selection

Prefer measured KD/volume/CPC/intent/SERP/GSC via openseo-keyword-research when OpenSEO is configured; otherwise Exa-stack validation with metrics marked unknown. Full contract: skills/openseo/references/backend-contract.md.

/keyword-research -- Data-Backed Keyword Strategy

Most keyword research is backwards. People start with tools, get overwhelmed by data, and end up with a spreadsheet they never use.

This skill starts with strategy. What does your business need? Who are you trying to reach? What would make them find you? Then it validates with live search data and builds a content plan that actually makes sense.

No expensive tools required. Systematic thinking plus web search.

Reads: positioning.md, audience.md, competitors.md, learnings.md Writes: brand/keyword-plan.md, campaigns/content-plan/*.md


Iteration Detection

Before starting, check whether ./brand/keyword-plan.md already exists.

If keyword-plan.md EXISTS --> Refresh Mode

Do not start from scratch. Instead:

  1. Read the existing plan.
  2. Present a summary of the current keyword strategy:
    EXISTING KEYWORD PLAN (last updated {date})
    Pillars: {Pillar 1} {N} clusters {priority} · {Pillar 2} {N} {priority} · {Pillar 3} {N} {priority}
    Top keywords: {kw1} {priority} · {kw2} {priority} · {kw3} {priority}
    Content briefs: {N} created, {N} published
    
    What would you like to do?
    ① Refresh with new SERP data  ② Add a new topic area  ③ Re-prioritize clusters
    ④ Full rebuild from scratch   ⑤ Generate briefs for top keywords
    

Read the full file on GitHub · 470 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 470 lines · 134 tokens per session scan A b80556784d04

Subscribe to this mod's changes

keyword-research is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 23d ago), licensed MIT. It adds 134 tokens to every session and 4,304 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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