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⚙ Needs: real brand data to analyze — brand and product names…

Dark Funnel — map the buyer journey your attribution can't see

Map untracked buyer-journey activity — Reddit and community mentions, AI chatbot citations, podcast lift, dark social sharing, word-of-mouth — into a dark funnel intelligence report with per-channel health scores, marketing-activity correlations, and prioritized investment recommendations

At a glance
What
Map untracked buyer-journey activity — Reddit and community mentions, AI chatbot citations, podcast lift, dark social sharing, word-of-mouth — into a dark funnel intelligence report with per-channel health scores, marketing-activity correlations, and prioritized investment recommendations
Cost
Free
Needs
real brand data to analyze — brand and product names, known community presence, podcast history, GA4 and Google Search Console access, ideally "how did you hear about us" survey data; the digital-marketing-pro brand-setup skill helps if you use that plugin
Install
Copy the installer prompt below into your Muse — your agent does the rest.

Version:

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Created by: @indranilbanerjee
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Install

Prerequisites: real brand data to analyze — brand and product names, known community presence, podcast history, GA4 and Google Search Console access, ideally "how did you hear about us" survey data; the digital-marketing-pro brand-setup skill helps if you use that plugin Install "Dark Funnel — map the buyer journey your attribution can't see" for me. It gives my agent @indranilbanerjee's dark-funnel workflow: load the brand context, aggregate dark funnel signals (branded search trends, Reddit/community mentions, AI chatbot citations, podcast attribution, direct traffic anomalies, survey data), correlate signal spikes with marketing activity timelines, map untracked touchpoints to buyer-journey stages, score each channel's health, and produce an intelligence report with prioritized investment recommendations and a monitoring plan. MIT licensed. Repository: https://github.com/indranilbanerjee/digital-marketing-pro/blob/main/skills/dark-funnel/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "dark-funnel". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. gather my brand data — GA4 access, Search Console, community/podcast history, survey responses — or set up a brand first with /digital-marketing-pro:brand-setup; remember GA4's "AI Assistant" channel is lit traffic, not dark — don't double-count). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

Where does my money go?

Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.