skill-136-geographic-competitive-intelligence

skill-136-geographic-competitive-intelligence is a skill for Claude Code from TrueClicks/claude-plugins. It costs 25 tokens per session (648 once invoked), scanned A, original, MIT.

A regional analysis of Google Ads performance and competition. It compares results and impression share across countries or other targeted locations.

In plain words
What is it for?
Use it to group regions into areas to defend, expand, optimize, or evaluate, then inform location-based bids and budget decisions.
Why use it?
It shows where campaigns are strong, where competitors may be limiting visibility, and where spending produces weak returns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 145 skills, 4 commands shipped together

Good fit Use it to group regions into areas to defend, expand, optimize, or evaluate, then inform location-based bids and budget decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence
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 TrueClicks/claude-plugins --skill skill-136-geographic-competitive-intelligence
Clone the repo
git clone --depth 1 https://github.com/TrueClicks/claude-plugins

Made for: Claude Code.

Or install google-ads, the plugin that ships this one along with the rest of its 145 skills, 4 commands.

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 skill-136-geographic-competitive-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence/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 skill-136-geographic-competitive-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-136-geographic-competitive-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 648 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 $0.00025 $0.00648
Opus 5.5 $0.00010 $0.00259
Sonnet 5.5 $0.00005 $0.00130
Haiku 4.5 $0.00003 $0.00065

Measured 21d ago against content hash 26e351dbc5a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-136-geographic-competitive-intelligence 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 21d 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.

plugins/google-ads/skills/skill-136-geographic-competitive-intelligence/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 136: Geographic Competitive Intelligence

Purpose

Analyze competitive dynamics by geography to identify regions with strong positioning (defend), underserved markets (expand), and areas with poor ROI (evaluate). Geographic insights enable location-based bid adjustments and budget allocation.

Data Requirements

Data Source: Custom GAQL Required

Geographic performance data requires custom GAQL queries.

GAQL Query:

SELECT
  campaign.name,
  geographic_view.country_criterion_id,
  segments.geo_target_region,
  metrics.impressions,
  metrics.clicks,
  metrics.cost_micros,
  metrics.conversions
FROM geographic_view
WHERE segments.date DURING LAST_30_DAYS
  AND metrics.impressions > 0

Run via /google-ads:get-custom with query name geo_performance.

Analysis Steps

  1. Fetch geographic data: Run GAQL query for location-level metrics
  2. Map performance by region: Calculate IS, CPA, and conversion rate per location
  3. Identify competition patterns: Low IS indicates high competition; high IS suggests dominance
  4. Create strategy matrix: Categorize regions (Defend, Expand, Optimize, Evaluate)
  5. Recommend bid adjustments: Suggest location modifiers based on efficiency

Thresholds

Condition Severity
High-converting region with IS < 40% Critical
Region with CPA > 2x account average Warning
Strong IS region with declining conversion rate Warning
Low IS + low conversion rate region Info

Output

Short format (default):

## Geographic Competitive Audit

**Account:** [Name] | **Regions Analyzed:** [X] | **Opportunities:** [Y]

### Geographic Performance Overview
| Region | Impressions | IS | Conv Rate | CPA | Strategy |
|--------|-------------|-----|-----------|-----|----------|
| California | [X] | [Y]% | [Z]% | $[A] | Expand |
| Texas | [X] | [Y]% | [Z]% | $[A] | Defend |
| New York | [X] | [Y]% | [Z]% | $[A] | Optimize |

### Expansion Opportunities (Low IS + Good Performance)
- **[Region]**: [X]% IS, [Y]% conv rate → Increase bids +[Z]%

### Defensive Priorities (High IS + Good Performance)
- **[Region]**: Maintain current strategy

### Optimization Needed (High IS + Poor Performance)
- **[Region]**: [X]% IS but poor CPA → Improve targeting/copy

### Recommendations
1. Increase bid modifier +[X]% for [Region]
2. Reduce spend in [Region] (poor ROI)

Read the full file on GitHub · 85 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. 21d ago First seen · 85 lines · 25 tokens per session scan A 26e351dbc5a9

Subscribe to this mod's changes

skill-136-geographic-competitive-intelligence is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 25 tokens to every session and 648 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 2026-10-08.

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