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.
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill linkedin-campaign-scaling-guidegit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide/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/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide.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 | $0.00108 | $0.05576 |
| Opus 5.5 | $0.00043 | $0.02230 |
| Sonnet 5.5 | $0.00022 | $0.01115 |
| Haiku 4.5 | $0.00011 | $0.00558 |
Grade A, and why
linkedin-campaign-scaling-guide 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.
How it starts
The opening of the file, as written. The whole thing — 577 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Campaign Scaling Guide
Purpose
Help advertisers scale LinkedIn ad spend profitably in a platform known for high CPCs (€5-15 average), small professional audiences, and rapid frequency buildup. LinkedIn scaling requires fundamentally different strategies than Meta or Google — brute-force budget increases destroy efficiency within days. This skill provides frameworks for controlled scaling through audience expansion, geographic layering, daypart optimization, and bid strategy management.
When to Use This Skill
Invoke when user mentions:
- Scaling: "How do I scale LinkedIn spend from €5K to €20K/month?"
- Diminishing returns: "My CPC keeps rising as I increase budget"
- Audience saturation: "Frequency is getting too high on LinkedIn"
- Budget allocation: "How much should I spend per campaign on LinkedIn?"
- Expansion: "Should I expand my audience or increase bids?"
- Plateau: "My LinkedIn campaigns plateaued, what now?"
Required Tools
| Tool | Purpose |
|---|---|
linkedin_query |
Pull campaign data, audience sizes, targeting, and delivery metrics |
linkedin_get_analytics |
Analyze performance trends, frequency data, and cost evolution |
Part 1: Scaling Readiness Assessment
Pre-Scaling Checklist
Before scaling, verify the current campaign is performing well enough to justify more spend.
SCALING READINESS SCORECARD (all must be YES):
□ Campaign has been live for 14+ days (algorithm learning complete)
□ CTR is above 0.35% for Sponsored Content
□ Lead Gen form completion rate is above 5%
□ CPL is within acceptable range for your ACV
□ Frequency is below 4x per month
□ MQL rate is above 40% (leads are actually qualified)
□ No single creative has been running for >21 days without refresh
□ Audience size is >20,000 members (room to scale)
□ Daily budget is being fully spent (not capped by audience)
□ Conversion tracking is working (LinkedIn Insight Tag firing)
If any item is "NO", fix that issue before scaling. Scaling a broken campaign just wastes money faster.
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.
- 1mo ago First seen · 577 lines · 108 tokens per session scan A 654ab68590a7
linkedin-campaign-scaling-guide is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 5,576 once invoked, about $0.0004 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 2026-09-11.
Other skills, from other repositories
analytics
Growth analytics authority — GA4 event tracking, conversion funnels, attribution models, cohort analysis, A/B testing, Supabase analytics queries, and revenue reporting patterns.
creative-generate
A workflow for creating advertising images and banners from a strategy brief. It separates the main visual artwork from the accurately typeset text and produces variants for display or social formats.
learn
Save a marketing diagnosis insight to the pro-diagnosis knowledge base so it is applied in future operations across all platforms. Use when the user runs /learn, explicitly teaches the agent a marketing insight, corrects the agent's analysis, or asks to remember/record an operational learning for next time. Also use…
cro-optimizer
CRO specialist that pulls live analytics data via the Humblytics MCP, analyzes conversion funnels, identifies drop-off points, and generates prioritized A/B test hypotheses. Use when analyzing conversion rates, diagnosing funnel leaks, optimizing signup flows, or creating test roadmaps. Triggers: CRO, conversion rate…
lead-form-create
Create a Meta Instant Form (Lead Ad form) through a one-question-at-a-time interview. Use when the user asks to create a lead form, Instant Form, CV form, or similar. The agent collects required parameters via a guided dialogue, confirms, then calls metaadsleadformscreate. Also use when the user asks in Japanese…
incident-postmortem
Close the learning loop after a rescue or incident — reconstruct the timeline from actionlog, run root-cause analysis (platform / site / measurement / external), produce a structured postmortem document, distill reusable insights via /learn, and propose preventive guardrails. Use after a /rescue, a CPA spike, a…