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Agent skill

Competitor Analysis

by petera2c in petera2c/simple-table

Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

MITAuto-check passedMarketing & SEO

Install Competitor Analysis

skills CLI
$ npx skills add petera2c/simple-table --skill competitor-analysis -a claude-code

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

GitHub CLI
$ gh skill install petera2c/simple-table competitor-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/petera2c/simple-table.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/competitor-analysis .claude/skills/competitor-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/

Facts

Skill name
competitor-analysis
GitHub stars
229
Used in
3 other repos
Token cost
~1.1k tokens
SKILL.md length
492 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

  • Works in 10 steps: Call get_domain_overview for the… → If comparing to the user, call… → Call get_ranked_keywords for the… → …
  • Tasks that involve Competitor analysis
  • SKILL.md covers Goal, Required inputs, OpenSEO MCP tools and Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Competitor Analysis is an agent skill from petera2c/simple-table. Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

Its SKILL.md is about 1.1k 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 Competitor analysis and Link building. It works with Google Search Console. The repository describes itself as: Lightweight data grid/table for fast, modern web apps. The licence is MIT.

When your agent uses it

  • Tasks that involve Competitor analysis
  • Tasks that involve Link building

Example prompts

  • “/competitor-analysis”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Call get_domain_overview for the competitor, passing provided location/language when supported.
  2. If comparing to the user, call get_domain_overview for the user's domain too — and if Search Console is connected…
  3. Call get_ranked_keywords for the competitor. Use filters like maxRank, minSearchVolume, excludeBrandTerms, and resultTypes to keep rows…
  4. If comparing to the user, call get_ranked_keywords for the user's domain/page too, or use get_serp_results for the shared terms when a…
  5. For local SEO, use search_local_businesses and get_local_serp_results around the relevant business location(s) before drawing local-pack…
  6. Use find_serp_competitors when the competitor was supplied by the user but its search overlap is unclear.
  7. Group competitor keywords into themes
  8. Call get_backlinks_overview for the competitor, especially if authority appears to explain rankings. Continue without backlink evidence if…
  9. Use get_serp_results for important shared or target keywords to compare positioning, passing provided location/language when supported.
  10. Produce an actionable plan

What it can do on your machine

Read from SKILL.md and the folder at commit df2dda2. 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

Competitor Analysis loads about 1.1k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 492 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 petera2c/simple-table at commit df2dda2, republished under its MIT licence (© petera2c). 492 words, ~1,065 tokens.

Download SKILL.mdSave it as .claude/skills/competitor-analysis/SKILL.md (or your agent's skills folder).
name
competitor-analysis
description
Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

OpenSEO Competitor Analysis

Goal

Analyze one competitor deeply enough to decide what to learn from, avoid, counter-position against, or outrank.

Use this for a named competitor. For identifying the market leaders first, use competitive-landscape.

Required inputs

  • projectId
  • Competitor domain
  • User's domain when comparison is requested
  • Optional topic/category/location/language

OpenSEO MCP tools

  • get_domain_overview: baseline organic traffic and keyword count.
  • get_search_console_performance: when comparing to the user's own domain and Search Console is connected, use it as the first-party baseline (real clicks/impressions/CTR/position) instead of estimating the user's own performance from third-party data.
  • get_ranked_keywords: exact keyword, URL, rank, intent, traffic, CPC, and SERP-type rows for the competitor domain or page.
  • get_backlinks_overview: backlink/referring-domain profile.
  • find_serp_competitors: validate whether the named competitor is a real search competitor across the target keyword set.
  • search_local_businesses, get_local_serp_results, and get_google_business_questions: use for local SEO competitors when Maps/local-pack visibility, nearby businesses, categories, or Google Q&A matter.
  • get_serp_results: validate direct head-to-head SERPs for important keywords.
  • research_keywords: expand gaps or category terms when needed.

Workflow

  1. Call get_domain_overview for the competitor, passing provided location/language when supported.
  2. If comparing to the user, call get_domain_overview for the user's domain too — and if Search Console is connected, get_search_console_performance for the user's real baseline.
  3. Call get_ranked_keywords for the competitor. Use filters like maxRank, minSearchVolume, excludeBrandTerms, and resultTypes to keep rows relevant.
  4. If comparing to the user, call get_ranked_keywords for the user's domain/page too, or use get_serp_results for the shared terms when a lighter check is enough.
  5. For local SEO, use search_local_businesses and get_local_serp_results around the relevant business location(s) before drawing local-pack conclusions. Add get_google_business_questions only when Q&A evidence matters.
  6. Use find_serp_competitors when the competitor was supplied by the user but its search overlap is unclear.
  7. Group competitor keywords into themes:
    • Product/category terms
    • Alternatives/comparisons
    • Templates/tools/calculators
    • Educational guides
    • Branded demand
    • Local/neighborhood terms when relevant
  8. Call get_backlinks_overview for the competitor, especially if authority appears to explain rankings. Continue without backlink evidence if it is unavailable.
  9. Use get_serp_results for important shared or target keywords to compare positioning, passing provided location/language when supported.
  10. Produce an actionable plan:
    • What they are doing well
    • Where they are vulnerable
    • Which pages/keywords to pursue
    • What to avoid copying
Show full SKILL.md (133 more words)Show less

Output format

Start with:

  • Competitor snapshot
  • Biggest lesson
  • Best opportunity to beat them

Then include:

AreaCompetitor patternEvidenceOpenSEO opportunity

Include sections for:

  • Top keyword themes
  • Content/page types working for them
  • Backlink/authority notes
  • Head-to-head SERP observations
  • Priority actions for the user

Guardrails

  • Do not treat all competitor keywords as desirable. Filter for business fit.
  • Separate evidence from inference.
  • Do not infer competitor page/content-type patterns from keyword rows alone; use SERP or web evidence for page-level claims.
  • For local SEO, do not infer Maps/local-pack strength from national organic domain metrics alone; use local business and local SERP tools when the location is known or reasonably discoverable.
  • Do not recommend copying content; recommend a stronger angle or better answer to the same intent.
  • If the user's domain is unavailable, frame the analysis as competitor-only.

© petera2c, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/competitor-analysis of petera2c/simple-table.

Open the folder on GitHubat commit df2dda2

Used in 3 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in petera2c/simple-table, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Competitor 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.

Competitor Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Competitor Analysis this skillpetera2c/simple-table2293 repos~1.1kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7872 repos~4.6kAutomated safety check: PassMIT
DataForSEO SEO Toolkitzubair-trabzada/dataforseo-claude164—~3.2kAutomated safety check: NotesMIT
DataForSEO Live SEO DataAgriciDaniel/claude-seo18k—~4.4kAutomated safety check: PassMIT
SEO APIseranking/seo-skills160—~4.1kAutomated safety check: PassMIT
Global SEO Growthminhnv0807/ai-business-skills608—~5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Competitor Analysis

What does Competitor Analysis do?

Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps. Competitor Analysis is an agent skill from petera2c/simple-table. Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

When should I use Competitor Analysis?

Competitor Analysis fits situations like: tasks that involve Competitor analysis; tasks that involve Link building.

How do I install Competitor Analysis in Claude Code?

Run `npx skills add petera2c/simple-table --skill competitor-analysis -a claude-code`. Or copy the skill folder (.agents/skills/competitor-analysis in petera2c/simple-table) into .claude/skills/competitor-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Competitor Analysis in Codex?

Run `npx skills add petera2c/simple-table --skill competitor-analysis -a codex`. Or copy the skill folder (.agents/skills/competitor-analysis in petera2c/simple-table) into .agents/skills/competitor-analysis in your project. Codex loads it when a task matches its description.

Can I use Competitor 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 petera2c/simple-table --skill competitor-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/competitor-analysis, .gemini/skills/competitor-analysis, .github/skills/competitor-analysis and .opencode/skills/competitor-analysis in your project.

What does Competitor Analysis need to run?

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

Does Competitor 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 Competitor 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 Competitor Analysis use?

Competitor 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 Competitor Analysis use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Competitor Analysis?

Skills that share tags, products or a category with Competitor Analysis: SEO Dataforseo (AgriciDaniel/codex-seo, 787 stars), DataForSEO SEO Toolkit (zubair-trabzada/dataforseo-claude, 164 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 18k stars) and SEO API (seranking/seo-skills, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitor Analysis?

petera2c (a GitHub user) maintains it in petera2c/simple-table, which has 229 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 4, 2026.

Source: petera2c/simple-table on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.