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Install in OpenClaw
/install tk-seo-keyword-mapper
Description
Generate comprehensive keyword maps for any niche — clusters, search intent, difficulty estimates, content briefs, and internal linking strategies. Turn one...
Usage Guidance
This is a low-risk, instruction-only SEO skill whose outputs will be model-driven unless your agent has explicit web/SERP access. Before relying on difficulty, search volume, or gap analysis for live decisions, confirm whether the agent performed real SERP lookups (which require web access) or produced heuristic estimates. Note the bundle is missing two referenced support files (difficulty-estimation and content-type-matrix), so verify the methodology and check generated numbers against a trusted SEO tool if you need precise volume/competition metrics. No credentials or installs are required, so the main remaining risk is accuracy rather than privacy or exfiltration.
Capability Analysis
Type: OpenClaw Skill
Name: tk-seo-keyword-mapper
Version: 1.0.0
The skill bundle is a collection of markdown instructions and reference guides designed to help an AI agent perform SEO keyword mapping and content strategy. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection. All files, including SKILL.md and references/intent-guide.md, are strictly focused on the stated purpose of SEO analysis.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description (keyword mapping, clusters, briefs, internal linking) matches the SKILL.md usage and outputs. There are no unrelated environment variables, binaries, or install steps requested that would be unexpected for an SEO/content planning skill.
Instruction Scope
The instructions stay within the stated SEO/keyword-mapping scope. Two small inconsistencies: SKILL.md references references/difficulty-estimation.md and references/content-type-matrix.md but only references/intent-guide.md is present in the bundle; and the competitor-gap feature asks for competitor URLs and the user's site but does not specify whether or how to fetch or analyze live SERP data (so outcomes are necessarily heuristic unless the agent has web/SERP access). These are functional gaps, not security issues.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is written to disk or downloaded by the skill itself.
Credentials
The skill requires no environment variables, credentials, or config paths. It does not request secrets or external tokens, which is proportionate to its stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills or system configuration. Autonomous invocation is allowed by default (platform behavior) but the skill itself does not request elevated persistence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tk-seo-keyword-mapper - After installation, invoke the skill by name or use
/tk-seo-keyword-mapper - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — seed keywords to full content strategies with clusters, briefs, and calendars
Metadata
Frequently Asked Questions
What is SEO Keyword Mapper?
Generate comprehensive keyword maps for any niche — clusters, search intent, difficulty estimates, content briefs, and internal linking strategies. Turn one... It is an AI Agent Skill for Claude Code / OpenClaw, with 92 downloads so far.
How do I install SEO Keyword Mapper?
Run "/install tk-seo-keyword-mapper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is SEO Keyword Mapper free?
Yes, SEO Keyword Mapper is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does SEO Keyword Mapper support?
SEO Keyword Mapper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created SEO Keyword Mapper?
It is built and maintained by tktk-ai (@tktk-ai); the current version is v1.0.0.
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