demand-engine skillA
demand-engine is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Multi-channel demand generation strategy builder that designs the full pipeline from awareness to hand-raise with channel scoring and budget allocation. Use when: demand generation, demand gen strategy, lead generation, pipeline strategy, marketing channels, how do we generate demand, channel strategy..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Demand Engine (WAVE Model) Design the strategic demand gen machine: which channels, what content at each stage, how they interconnect, and how budget is allocated for maximum pipeline impact. ## When to Use - Pre-launch demand gen planning - Annual marketing strategy - Channel mix optimization - New segment demand gen design - Marketing budget planning ## What You'll Need **Critical inputs (ask if not provided):** - Product and target audience - Available budget range - Sales motion (PLG, sales-led, hybrid) **Nice-to-have:** - Position Lock output (messaging to fuel campaigns) - Journey Architect output (gates define content staging) - Current channel performance data ## Process ### Step 1: Channel Inventory and WAVE Scoring Evaluate 15+ demand channels: Score each channel on 4 dimensions (1-10): | Dimension | What It Measures | Scoring Guide | |-----------|-----------------|---------------| | **W**eight | Volume of qualified demand possible | 1=tiny reach, 5=meaningful, 10=massive scale | | **A**udience-fit | How well does this channel reach your ICP? | 1=wrong audience, 5=partial overlap, 10=perfect match | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/demand-engine@git:20260516.4225f52mdr add varunk130/ai-gtm-skill-library/demand-engine@sha256:1087d9edc5adee35Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_k7ocitmzgjqgckie)
1 badge views in 30 days
Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4644 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_k7ocitmzgjqgckie GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/demand-engine GET https://markdownregistry.com/api/v1/blob/1087d9edc5adee35c587bbe1c68a837cceec17d9aef59bcadd0862d6dc943161
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.