Agent skill

Competitive Analysis

Analyze AI-search competitors for a query and recommend ranking strategy.

Install Competitive Analysis

skills CLI

$ npx skills add mverab/eGEOagents --skill competitive-analysis -a claude-code

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

GitHub CLI

$ gh skill install mverab/eGEOagents competitive-analysis --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/mverab/eGEOagents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/competitive-analysis .claude/skills/competitive-analysis && 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/

Paste into Claude Code

Install the "competitive-analysis" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis into .claude/skills/competitive-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitive-analysis", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add mverab/eGEOagents --skill competitive-analysis -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents competitive-analysis --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/competitive-analysis .agents/skills/competitive-analysis && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "competitive-analysis" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis into .agents/skills/competitive-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitive-analysis", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mverab/eGEOagents --skill competitive-analysis -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents competitive-analysis --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/competitive-analysis .cursor/skills/competitive-analysis && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "competitive-analysis" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis into .cursor/skills/competitive-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitive-analysis", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/mverab/eGEOagents.git --path .claude/skills/competitive-analysis

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mverab/eGEOagents --skill competitive-analysis -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents competitive-analysis --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/competitive-analysis .gemini/skills/competitive-analysis && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "competitive-analysis" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis into .gemini/skills/competitive-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitive-analysis", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install mverab/eGEOagents competitive-analysis

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add mverab/eGEOagents --skill competitive-analysis -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/competitive-analysis .github/skills/competitive-analysis && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "competitive-analysis" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis into .github/skills/competitive-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitive-analysis", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mverab/eGEOagents --skill competitive-analysis -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mverab/eGEOagents competitive-analysis --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mverab/eGEOagents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/competitive-analysis .opencode/skills/competitive-analysis && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "competitive-analysis" agent skill from https://github.com/mverab/eGEOagents/tree/main/.claude/skills/competitive-analysis into .opencode/skills/competitive-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitive-analysis", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: competitive-analysis
GitHub stars: 197
Token cost: ~723 tokens
SKILL.md length: 155 words
Files: 1
Skills in repo: 5
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Analyze AI-search competitors for a query and recommend ranking strategy.

Works in 5 steps: Identify the Query Space → Generate Competitor Profiles → Evaluate Ranking Factors → …
Users ask competitor analysis
SKILL.md covers Process and Output Requirements
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Competitive Analysis is an agent skill from mverab/eGEOagents. Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.

Its SKILL.md is about 720 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 AI search optimization and Competitor analysis. The repository describes itself as: Open-source Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) toolkit — optimize content to rank in ChatGPT, Perplexity, Gemini & Claude. AI SEO / LLM SEO… The licence is MIT.

When your agent uses it

Users ask competitor analysis
Competitive landscape

Example prompts

“/competitive-analysis”

Workflow steps

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

Identify the Query Space
Generate Competitor Profiles
Evaluate Ranking Factors
Create Comparison Matrix
Recommend Strategy

What it can do on your machine

Read from SKILL.md and the folder at commit 58ee654. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
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

Competitive Analysis loads about 723 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 155 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~43
When it runs · the whole SKILL.md, loaded when a task matches: ~723

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 passed

The automated check found no risky patterns in SKILL.md.

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 mverab/eGEOagents at commit 58ee654, republished under its MIT licence (© mverab). 155 words, ~723 tokens.

Download SKILL.mdSave it as .claude/skills/competitive-analysis/SKILL.md (or your agent's skills folder).

name: competitive-analysis
description: Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.

Competitive Analysis Skill

When analyzing competition for AI-engine rankings:

Process

1. Identify the Query Space

What queries would users search?
What intent do these queries have?
What type of content would AI engines prefer?

2. Generate Competitor Profiles

Create 5 realistic competitor archetypes:

Type	Description
Market Leader	Established player with strong brand recognition
Specialist	Niche focus with deep expertise
Budget Option	Price-competitive alternative
Innovator	New approach or technology
Content King	Best educational/informational content

3. Evaluate Ranking Factors

For each competitor, assess:

Content depth and quality
Social proof (reviews, testimonials, usage stats)
Authority signals (expertise, credentials)
User intent alignment
Technical optimization (schema, structure)

4. Create Comparison Matrix

┌─────────────────────────────────────────────────────────────┐
│  🏆 COMPETITIVE ANALYSIS                                    │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  Query: "[analyzed query]"                                  │
│                                                             │
│  RANKING PREDICTION                                         │
│  ──────────────────                                         │
│  #1  Market Leader     ████████████  Strong brand + proof   │
│  #2  Specialist        ██████████    Deep expertise         │
│  #3  YOUR CONTENT      ████████      [current position]     │
│  #4  Content King      ██████        Good info, weak CTA    │
│  #5  Budget Option     ████          Price only             │
│                                                             │
│  YOUR DIFFERENTIATION OPPORTUNITY                           │
│  ─────────────────────────────────                          │
│  • [specific opportunity 1]                                 │
│  • [specific opportunity 2]                                 │
│  • [specific opportunity 3]                                 │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Provide specific actions to outrank competitors:

Content gaps to fill
Social proof to add
Unique angles to pursue
Technical improvements

Output Requirements

Always provide actionable differentiation strategies
Be specific about what competitors do well/poorly
Focus on what can realistically be improved
Include estimated impact of changes

Files

Just SKILL.md in .claude/skills/competitive-analysis of mverab/eGEOagents.

Open the folder on GitHubat commit 58ee654

Compare with similar skills

Competitive Analysis 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.

Competitive Analysis compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Competitive Analysis this skillmverab/eGEOagents	197	—	~723	Automated safety check: Pass	MIT	today
SEO DataforseoAgriciDaniel/codex-seo	791	2 repos	~4.6k	Automated safety check: Pass	MIT	26 days ago
AI Discoverability AuditBrianRWagner/ai-marketing-claude-code-skills	440	—	~2.3k	Automated safety check: Pass	None	6 mo ago
DataForSEO Live SEO DataAgriciDaniel/claude-seo	18k	—	~4.4k	Automated safety check: Pass	MIT	3 days ago
Competitor Analysisaaron-he-zhu/aaron-marketing-skills	2.9k	1 repos	~2k	Automated safety check: Pass	Apache-2.0	today
Blog OutlineAgriciDaniel/claude-blog	2.3k	1 repos	~1.5k	Automated safety check: Pass	MIT	yesterday

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Questions about Competitive Analysis

What does Competitive Analysis do?

Analyze AI-search competitors for a query and recommend ranking strategy. Competitive Analysis is an agent skill from mverab/eGEOagents. Analyze AI-search competitors for a query and recommend ranking strategy.

When should I use Competitive Analysis?

Competitive Analysis fits situations like: users ask competitor analysis; competitive landscape.

How do I install Competitive Analysis in Claude Code?

Run `npx skills add mverab/eGEOagents --skill competitive-analysis -a claude-code`. Or copy the skill folder (.claude/skills/competitive-analysis in mverab/eGEOagents) into .claude/skills/competitive-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Competitive Analysis in Codex?

Run `npx skills add mverab/eGEOagents --skill competitive-analysis -a codex`. Or copy the skill folder (.claude/skills/competitive-analysis in mverab/eGEOagents) into .agents/skills/competitive-analysis in your project. Codex loads it when a task matches its description.

Can I use Competitive Analysis 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 mverab/eGEOagents --skill competitive-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitive-analysis, .gemini/skills/competitive-analysis, .github/skills/competitive-analysis and .opencode/skills/competitive-analysis in your project.

What does Competitive Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Competitive Analysis is instructions for the agent only.

Does Competitive Analysis 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 Competitive Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Competitive Analysis use?

Competitive Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Competitive Analysis use?

About 723 tokens (SKILL.md is roughly 2.9k 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 Competitive Analysis?

Skills that share tags, products or a category with Competitive Analysis: SEO Dataforseo (AgriciDaniel/codex-seo, 791 stars), AI Discoverability Audit (BrianRWagner/ai-marketing-claude-code-skills, 440 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 18k stars) and Competitor Analysis (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitive Analysis?

mverab (a GitHub user) maintains it in mverab/eGEOagents, which has 197 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.

Source: mverab/eGEOagents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Competitive Analysis

Install Competitive Analysis

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Competitive Analysis Skill

Process

1. Identify the Query Space

2. Generate Competitor Profiles

3. Evaluate Ranking Factors

4. Create Comparison Matrix

Output Requirements

Files

Compare with similar skills

Similar skills

SEO Dataforseo

AI Discoverability Audit

DataForSEO Live SEO Data

Competitor Analysis

Blog Outline

SEO Dataforseo

More from mverab/eGEOagents

Content Scoring

Geo Loop

Schema Generator

Validation Doctor

Questions about Competitive Analysis

Install Competitive Analysis

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Competitive Analysis Skill

Process

1. Identify the Query Space

2. Generate Competitor Profiles

3. Evaluate Ranking Factors

4. Create Comparison Matrix

5. Recommend Strategy

Output Requirements

Files

Compare with similar skills

Similar skills

More from mverab/eGEOagents

Related

Questions about Competitive Analysis