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 swan-gtm/gtm-skills --skill ads-offers-strategygit clone --depth 1 https://github.com/swan-gtm/gtm-skillsWrote 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/swan-gtm/gtm-skills/ads-offers-strategy)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/ads-offers-strategy"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ads-offers-strategy/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/swan-gtm/gtm-skills/ads-offers-strategy"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/ads-offers-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.00583 |
| Opus 5 | $0.00017 | $0.00292 |
| Sonnet 5 | $0.00007 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
ads-offers-strategy 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 9d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offers Strategy Guide
What Is a No-Brainer Offer?
A "no-brainer" offer has high perceived value AND high likelihood of attainment, where the thought of transaction is little to nothing.
Key Principles
- Every ad promotes some type of offer: demo requests, product tours, free trials, e-books, checklists, blog posts, educational videos, webinars, conferences, physical products, calculators, assessments, community, etc.
- The best offer varies based on the stage you're focusing on
- Just because you're offering something for FREE doesn't mean you don't have to SELL it
- Marketers DRAMATICALLY overestimate the perceived value of their offers and underestimate the reality of prospects
Two Ways to Communicate Value
1. Be Clear
Answer these questions: Who is this for? What is the one big takeaway? What is required on my part? (time/effort)
Bad Example: "Learn about the world of private equity from the most trusted names in finance. Sign up for the next cohort today."
Good Example: "Startup founders learn how to raise, negotiate, and manage private equity in the next 6-weeks for just 1-hour a day."
2. Be Compelling
Humans are motivated by pain or desire. Get people excited when they read your CTA.
Bad Example: "Break into private equity with the Private Equity Certificate from (School)"
Good Example: "Join X certified startup founders who successfully raised $X+ in private equity after graduating from (School)"
Example Offers by Stage
1. Create (Build brand affinity & trust)
- YouTube videos
- Blog posts
- Webinars
- Conferences
- Social posts
2. Capture (Convert in-market buyers)
- Free trials
- Demo requests
- On-demand product tours
3. Accelerate/Activate (Shorten sales cycles)
- Case studies
- Testimonials
- Proof of concepts
- Customer dinners
- Product webinars
- Certification programs
4. Revive (Restart lost opportunities)
- Extended trials
- Product discounts
- Professional services
- Incentivized demo requests
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.
- 9d ago First seen · 86 lines · 34 tokens per session scan A 42e6a34d1add
ads-offers-strategy is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 583 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
google-search-ads-builder
End-to-end Google Search Ads campaign builder. Performs deep keyword research (competitor SEO, review language mining, Reddit/HN community terminology, site audit), builds keyword architecture with funnel mapping and intent classification, creates ad group structure, generates headline/description variants, builds…
meta-ads-analyzer
Diagnose Meta Ads campaign performance and account gaps using Meta's actual system mechanics — including customer-journey coverage, Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue. Use for performance diagnosis, account audits, full-funnel or TOF/MOF/BOF gap analysis, deciding what to…
ad-campaign-analyzer
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
competitor-ad-intelligence
Scrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad…
ad-angle-miner
Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle.