keyword-research

keyword-research is a skill for Claude Code, Codex from robroyhobbs/marketing-skills. It costs 164 tokens per session (12,119 once invoked), scanned A, original, MIT.

A research process for finding search terms people use online and turning them into a content plan. It uses live search results, groups related terms, and connects them to business goals and audiences.

In plain words
What is it for?
Use it to plan articles, SEO content, topic groups, content pillars, and opportunities that competitors may have missed.
Why use it?
It helps replace an unstructured list of keywords with topics chosen for a specific audience, search purpose, and business direction.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is {Reference ./brand/positioning.md if loaded}.

Good fit Use it to plan articles, SEO content, topic groups, content pillars, and opportunities that competitors may have missed.

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/robroyhobbs/marketing-skills
agentmods
npx agentmods add skills/robroyhobbs/marketing-skills/keyword-research

Made for: Claude Code, Codex.

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/robroyhobbs/marketing-skills/keyword-research/github.svg)](https://agentmods.dev/skills/robroyhobbs/marketing-skills/keyword-research)
Your own site
<a href="https://agentmods.dev/skills/robroyhobbs/marketing-skills/keyword-research"><img src="https://agentmods.dev/badge/skills/robroyhobbs/marketing-skills/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/robroyhobbs/marketing-skills/keyword-research"><img src="https://agentmods.dev/badge/skills/robroyhobbs/marketing-skills/keyword-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 164 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,119 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.
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 $0.00164 $0.12119
Opus 5 $0.00082 $0.06059
Sonnet 5 $0.00033 $0.02424
Haiku 4.5 $0.00016 $0.01212

Measured 12d ago against content hash 0e041e820f29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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.

keyword-research/SKILL.md · 1,499 lines

How it starts

The opening of the file, as written. The whole thing — 1,499 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/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.

Read ./brand/ per _system/brand-memory.md

Follow all output formatting rules from _system/output-format.md


Brand Memory Integration

On every invocation, check for existing brand context.

Reads (if they exist)

File What it provides How it shapes output
./brand/positioning.md Market angles, differentiators Aligns keyword selection with brand positioning -- a rebel brand targets different keywords than a trusted advisor
./brand/audience.md Buyer profiles, sophistication level Informs search intent mapping -- beginner audience means more "what is" and "how to" keywords
./brand/competitors.md Named competitors, their positioning Seeds competitive content gap analysis -- search what they rank for, find what they miss

Writes

File What it contains
./brand/keyword-plan.md The complete prioritized keyword plan (profile file, create-or-overwrite)
./campaigns/content-plan/*.md Individual content briefs for top-priority keywords
./brand/assets.md Appends entries for each content brief created

Context Loading Behavior

  1. Check whether ./brand/ exists.
  2. If it exists, read positioning.md, audience.md, and competitors.md if present.
  3. If loaded, show the user what you found:
    Brand context loaded:
    ├── Positioning     ✓ "{primary angle summary}"
    ├── Audience        ✓ "{audience summary}"
    └── Competitors     ✓ {N} competitors profiled
    
    Using this to shape keyword strategy.
    
  4. If files are missing, proceed without them. Note at the end:
    → /positioning-angles would sharpen keyword alignment
    → /audience-research would tune intent mapping
    → /competitive-intel would unlock gap analysis
    
  5. If no brand directory exists at all:
    No brand profile found — this skill works standalone.
    I'll ask what I need as we go. Run /start-here or
    /brand-voice later to unlock personalization.
    

Read the full file on GitHub · 1,499 lines

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. 12d ago First seen · 1,499 lines · 164 tokens per session scan A 0e041e820f29

Subscribe to this mod's changes

keyword-research is a skill published in the GitHub repository robroyhobbs/marketing-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 164 tokens to every session and 12,119 once invoked, about $0.0008 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 2026-08-31.

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