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 brainbytes-dev/everything-claude-marketing --skill funnel-designgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/funnel-design)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/funnel-design"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/funnel-design/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/brainbytes-dev/everything-claude-marketing/funnel-design"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/funnel-design.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 | $0.00024 | $0.02878 |
| Opus 5.5 | $0.00010 | $0.01151 |
| Sonnet 5.5 | $0.00005 | $0.00576 |
| Haiku 4.5 | $0.00002 | $0.00288 |
Grade A, and why
funnel-design 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 2mo 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Funnel Design
When to Activate
Use this skill when designing a new marketing or sales funnel, auditing an existing funnel for drop-off points, mapping content to funnel stages, building email sequences tied to funnel progression, planning retargeting strategies by stage, or when someone asks you to "map the customer journey" or "build a funnel." Also activate when conversion rates between funnel stages are below benchmarks.
First Questions
Before designing or auditing a funnel, clarify:
- What is the business model? (SaaS, e-commerce, services, marketplace, info product)
- What is the primary conversion goal? (purchase, trial signup, demo booking, lead capture, application)
- What is the average deal value and sales cycle length? (determines funnel complexity)
- Where does traffic come from today? (paid, organic, referral, email, social)
- What tools are in the stack? (CRM, MAP, analytics, ad platforms)
- What data exists on current funnel performance? (if optimizing an existing funnel)
Core Rules
- Every funnel starts with the end. Define the conversion event first, then work backward through the stages a prospect must pass through.
- Fix the biggest leak first. Don't optimize the top of the funnel if middle-funnel drop-off is 90%. Audit stage-by-stage and prioritize the worst ratio.
- Match content to intent. Each funnel stage requires different content types, messaging, and CTAs. Never serve BOFU content to TOFU audiences or vice versa.
- Funnels are not linear in reality. Prospects skip stages, revisit stages, and enter at different points. Design for the ideal path but account for non-linear behavior.
- Measure stage-to-stage conversion, not just endpoint. If you only track "visit → purchase," you can't diagnose where you're losing people.
- Nurture is the funnel's engine. Without active nurture sequences (email, retargeting, content), prospects stall between stages.
Funnel Stage Definitions
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.
- 2mo ago First seen · 273 lines · 24 tokens per session scan A 12adc500d76f
funnel-design is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 24 tokens to every session and 2,878 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 2026-09-03.
funnel-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| funnel-designbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 24 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |