How do I install the Pagerangers SEO skill?

Run npx skillmds@latest add netresearch/pagerangers-seo in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Pagerangers SEO safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Pagerangers SEO?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Pagerangers SEO free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under (MIT AND CC-BY-SA-4.

Who published Pagerangers SEO?

netresearch (@netresearch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pagerangers SEO by netresearch — Agent Skill

Name: Pagerangers SEO
Rating: 4.2 (5 reviews)
Author: netresearch

File contents

PageRangers SEO

Query the PageRangers Monitoring API for SEO insights directly from your AI assistant.

Commands

Command	Description
`keyword <term>`	Analyze a keyword (SERP, volume, competition)
`rankings`	List current keyword rankings
`kpis`	Get project KPIs (ranking index, top 10/100)
`prospects`	Find high-opportunity keywords

Quick Start

# 1. Create credentials file (see references/setup.md for details)
cat > ~/.env.pagerangers << 'EOF'
PAGERANGERS_API_TOKEN=your_api_key_here
PAGERANGERS_PROJECT_HASH=your_project_hash_here
EOF

# 2. Run commands (global flags like --json go BEFORE the subcommand)
python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json keyword "SEO Analyse" --top 5
python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json rankings --limit 10
python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json kpis
python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json prospects --limit 10

Usage Examples

Keyword Analysis

python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json keyword "online marketing" --top 10

Returns: keyword, search volume, competition (low/medium/high), top URLs, related keywords.

Project Rankings

python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json rankings --limit 20

Returns: keyword, position, ranking URL.

Project KPIs

python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json kpis

Returns: ranking index, top 10 count, top 100 count, average position.

Keyword Opportunities

python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json prospects --limit 10

Returns: keywords with best ranking potential.

References

Topic	Reference
API documentation	`references/pagerangers-api.md`
Endpoint configuration	`references/pagerangers-api.json`
Setup and credentials	`references/setup.md`
Error handling	`references/error-handling.md`
Module distinction (Monitoring vs Explorer)	`references/module-distinction.md`
API costs and credits	`references/api-costs.md`
CLI implementation	`${CLAUDE_SKILL_DIR}/scripts/pagerangers.py`

---name: pagerangers-seodescription: Use when working with ANY PageRangers or SEO ranking operation — keyword analysis, SERP data, search volume, competition metrics, ranking positions, KPIs, or keyword opportunities via PageRangers API.license: (MIT AND CC-BY-SA-4.0). See LICENSE-MIT and LICENSE-CC-BY-SA-4.0---# PageRangers SEOQuery the PageRangers Monitoring API for SEO insights directly from your AI assistant.## Commands| Command | Description ||---------|-------------|| `keyword <term>` | Analyze a keyword (SERP, volume, competition) || `rankings` | List current keyword rankings || `kpis` | Get project KPIs (ranking index, top 10/100) || `prospects` | Find high-opportunity keywords |## Quick Start```bash# 1. Create credentials file (see references/setup.md for details)cat > ~/.env.pagerangers << 'EOF'PAGERANGERS_API_TOKEN=your_api_key_herePAGERANGERS_PROJECT_HASH=your_project_hash_hereEOF# 2. Run commands (global flags like --json go BEFORE the subcommand)python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json keyword "SEO Analyse" --top 5python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json rankings --limit 10python3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json kpispython3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json prospects --limit 10```## Usage Examples### Keyword Analysis```bashpython3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json keyword "online marketing" --top 10```Returns: keyword, search volume, competition (low/medium/high), top URLs, related keywords.### Project Rankings```bashpython3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json rankings --limit 20```Returns: keyword, position, ranking URL.### Project KPIs```bashpython3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json kpis```Returns: ranking index, top 10 count, top 100 count, average position.### Keyword Opportunities```bashpython3 ${CLAUDE_SKILL_DIR}/scripts/pagerangers.py --json prospects --limit 10```Returns: keywords with best ranking potential.## References| Topic | Reference ||-------|-----------|| API documentation | `references/pagerangers-api.md` || Endpoint configuration | `references/pagerangers-api.json` || Setup and credentials | `references/setup.md` || Error handling | `references/error-handling.md` || Module distinction (Monitoring vs Explorer) | `references/module-distinction.md` || API costs and credits | `references/api-costs.md` || CLI implementation | `${CLAUDE_SKILL_DIR}/scripts/pagerangers.py` |

Frequently asked questions

Pagerangers SEO