competitor-analysis

competitor-analysis is a skill for Claude Code from itallstartedwithaidea/agent-skills. It costs 19 tokens per session (2,166 once invoked), scanned A, original, MIT.

A Google Ads competitor research procedure that studies auction data to show which advertisers compete with your ads and how often they appear. Auction data records competitors' visibility, position, and overlap in Google's ad auctions.

In plain words
What is it for?
Use it to compare competitors across campaigns and keywords, review their ad messages and offers, and estimate relative market share from impression, click, and conversion data.
Why use it?
It turns scattered competition metrics into a clearer view of who is gaining or losing ad visibility. It can also reveal changes in competitor activity and messaging over time.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex.

Part of the google-ads-skills plugin — 12 skills shipped together , and of all-skills

Good fit Use it to compare competitors across campaigns and keywords, review their ad messages and offers, and estimate relative market share from impression, click, and conversion data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/itallstartedwithaidea/agent-skills/competitor-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add itallstartedwithaidea/agent-skills --skill competitor-analysis
Clone the repo
git clone --depth 1 https://github.com/itallstartedwithaidea/agent-skills

Made for: Claude Code.

Or install google-ads-skills, the plugin that ships this one along with the rest of its 12 skills.

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 competitor-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/competitor-analysis/github.svg)](https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/competitor-analysis)
Your own site
<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/competitor-analysis/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 competitor-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,166 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 $0.00019 $0.02166
Opus 5.5 $0.00008 $0.00866
Sonnet 5.5 $0.00004 $0.00433
Haiku 4.5 $0.00002 $0.00217

Measured 1mo ago against content hash 9a47e57ce827, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitor-analysis 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 1mo 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.

skills/google-ads/competitor-analysis/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Analysis

Part of Agent Skills™ by googleadsagent.ai™

Description

The Competitor Analysis skill transforms Google Ads auction data into actionable competitive intelligence. By systematically analyzing auction insights, ad preview results, and competitive metrics, this skill maps the competitive landscape across every campaign and keyword. It identifies who you're competing against, how often they appear alongside your ads, and where you're winning or losing the visibility battle.

The skill goes beyond raw auction insights data by building competitor profiles that track behavior over time. It detects when competitors increase aggression (rising overlap rates and position-above rates), identifies seasonal competitive patterns, and estimates competitor budget and bidding strategies based on impression share trends. When combined with ad copy analysis, it reveals competitor messaging strategies, offer structures, and unique selling propositions.

Market share estimation ties the analysis together. By correlating your impression share, click share, and conversion share against auction insights data, the skill calculates your estimated market share and identifies the specific competitors and keywords where share gains are most achievable. This powers strategic decisions about where to compete aggressively, where to defend position, and where to cede ground in favor of more profitable segments.

Use When

  • User asks about "competitor analysis" or "competitive landscape"
  • User mentions "auction insights" or "who am I competing against"
  • User wants to know "why my CPCs are rising" (competitive pressure)
  • User asks about "impression share" or "market share"
  • User mentions "competitor ads" or "what are competitors doing"
  • User wants "competitive positioning" or "competitive strategy"
  • User asks about "overlap rate" or "outranking share"
  • User mentions "losing impression share to competitors"

Read the full file on GitHub · 242 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. 1mo ago First seen · 242 lines · 19 tokens per session scan A 9a47e57ce827

Subscribe to this mod's changes

competitor-analysis is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 2,166 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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