skill-046-portfolio-bid-strategy-evaluation

skill-046-portfolio-bid-strategy-evaluation is a skill for Claude Code from TrueClicks/claude-plugins. It costs 27 tokens per session (737 once invoked), scanned A, original, MIT.

A review method for Google Ads campaigns that share one portfolio bidding strategy, which automatically adjusts bids across several campaigns.

In plain words
What is it for?
Use it to compare campaign settings and recent results, identify uneven performance inside bidding portfolios, and decide whether campaigns should be regrouped.
Why use it?
It helps find campaigns that do not belong together and may be hiding strong results or reducing overall performance.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 52 skills, 4 commands shipped together

Good fit Use it to compare campaign settings and recent results, identify uneven performance inside bidding portfolios, and decide whether campaigns should be regrouped.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation
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-046-portfolio-bid-strategy-evaluation
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 52 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-046-portfolio-bid-strategy-evaluation

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation/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-046-portfolio-bid-strategy-evaluation

Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-046-portfolio-bid-strategy-evaluation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 737 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 $0.00027 $0.00737
Opus 5 $0.00014 $0.00368
Sonnet 5 $0.00005 $0.00147
Haiku 4.5 $0.00003 $0.00074

Measured 12d ago against content hash 8b58a0b10685, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

skill-046-portfolio-bid-strategy-evaluation 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 12d 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-046-portfolio-bid-strategy-evaluation/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 046: Portfolio Bid Strategy Evaluation

Purpose

Portfolio bidding strategies share learnings across campaigns, but poorly matched portfolios can average out performance patterns, constrain high performers, and reduce overall efficiency. This skill evaluates whether campaigns in a portfolio are logically grouped, identifies performance disparity, and recommends restructuring.

Data Requirements

Data Source: Standard

Standard Data:

  • data/account/bidding_strategies.md - Portfolio strategies and linked campaigns
  • data/account/campaigns/*/campaign.md - Campaign settings and bidding
  • data/performance/campaigns/*/campaign_metrics_30_days.md - Campaign performance

Reference GAQL:

SELECT
  campaign.id,
  campaign.name,
  bidding_strategy.id,
  bidding_strategy.name,
  bidding_strategy.type,
  bidding_strategy.target_cpa.target_cpa_micros,
  bidding_strategy.target_roas.target_roas,
  metrics.cost_micros,
  metrics.conversions,
  metrics.conversions_value
FROM campaign
WHERE campaign.status = 'ENABLED'
  AND segments.date DURING LAST_30_DAYS

Use /google-ads:get-custom if you need portfolio-specific metrics.

Analysis Steps

  1. Inventory portfolio strategies: Strategy name/type, target settings, number of campaigns, total spend/conversions.

  2. Analyze intra-portfolio performance: Calculate individual CPA/ROAS, variance from portfolio average, conversion volume contribution, spend distribution.

  3. Identify portfolio issues: Performance disparity (CPA/ROAS range, coefficient of variation >0.40), volume imbalance (one campaign >60% of conversions), logical grouping issues.

  4. Assess optimization impact: Determine if targets are appropriate for all campaigns, if one campaign dominates optimization.

  5. Develop restructuring recommendations: Break portfolio, remove outliers, create new portfolios by criteria, convert to inline strategies.

Thresholds

Condition Severity
Campaigns with different goals in same portfolio Critical
Coefficient of variation >0.40 Critical
Single campaign >60% of portfolio volume High
Campaign CPA/ROAS >50% off target High
CV 0.25-0.40 Warning
Portfolio <30 conv/month total Warning
Campaign <10 conv/month in large portfolio Info

Read the full file on GitHub · 88 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. 12d ago First seen · 88 lines · 27 tokens per session scan A 8b58a0b10685

Subscribe to this mod's changes

skill-046-portfolio-bid-strategy-evaluation is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 737 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens