Borrowing it
Nothing to install: this file belongs to Pauesome/Paid-Media-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Pauesome/Paid-Media-MCP/main/.claude/skills/ads-strategy-plan/SKILL.mdgit clone --depth 1 https://github.com/Pauesome/Paid-Media-MCPWrote 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.
[](https://agentmods.dev/skills/pauesome/paid-media-mcp/ads-strategy-plan)<a href="https://agentmods.dev/skills/pauesome/paid-media-mcp/ads-strategy-plan"><img src="https://agentmods.dev/badge/skills/pauesome/paid-media-mcp/ads-strategy-plan/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.
<a href="https://agentmods.dev/skills/pauesome/paid-media-mcp/ads-strategy-plan"><img src="https://agentmods.dev/badge/skills/pauesome/paid-media-mcp/ads-strategy-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.01352 |
| Opus 5 | $0.00040 | $0.00676 |
| Sonnet 5 | $0.00016 | $0.00270 |
| Haiku 4.5 | $0.00008 | $0.00135 |
Grade A, and why
ads-strategy-plan 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Paid Advertising Plan — Spain
This skill is human-in-the-loop (interactive by design). Use it for kickoffs and strategy refreshes.
All numbers reference .claude/references/benchmarks-spain.md; all regulatory
language references .claude/references/compliance-eu-spain.md; creative specs
reference .claude/references/platform-specs.md.
Process
1. Discovery
Ask the user:
- Business type, offer, target audience (Spain / EU / LATAM?)
- Current advertising status (
list_clientsto see configured accounts and platforms) - Goals: awareness / lead gen / e-commerce sales / app installs
- Monthly budget range in EUR
- In-house creative capacity vs outsourced
2. Competitive analysis (lightweight)
- Identify 3–5 competitors (user-provided)
- Check presence on Meta Ad Library, Google Ads Transparency Center, TikTok Creative Center (DSA Ad Repositories — user opens in browser, not scraped)
- Note messaging themes, creative approaches, keyword / audience gaps
3. Platform selection
Use the Platform Selection Matrix from ads-budget-review (same matrix;
Spanish-client calibrated). Load matching industry pattern:
- SaaS B2B
- E-commerce (retail / wellness / DTC)
- Local service (reformas, clínicas, legal, asesorías)
- Fashion / Beauty / Food (D2C)
- Wellness / Salud (avoid Rx-drug-to-consumer — illegal in Spain per Ley 29/2006)
4. Campaign architecture
Naming convention:
[Platform]_[Objective]_[Audience]_[Geo]_[Date]
Example: META_CONV_Prospecting_ES_2026Q2
Template:
Account
├── Brand Campaign (always-on)
├── Non-Brand Prospecting
│ ├── Top Funnel — Awareness
│ ├── Mid Funnel — Consideration
│ └── Bottom Funnel — Conversion
├── Retargeting
│ ├── Website visitors (7–30 days)
│ ├── Engaged users (video views, social engagement)
│ └── Cart abandoners / form starters
└── Testing
└── New audiences / formats / messaging
5. Budget planning
Apply 70/20/10:
- 70% proven — primary platforms with proven ROI
- 20% scaling — platforms showing promise
- 10% testing — new strategies
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.
- 12d ago First seen · 149 lines · 80 tokens per session scan A 7f2ba9d22b4f
ads-strategy-plan is a skill published in the GitHub repository Pauesome/Paid-Media-MCP (1 stars, last pushed 2mo ago), licensed MIT. It adds 80 tokens to every session and 1,352 once invoked, about $0.0004 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.
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