product-announcement skillA
product-announcement is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Product announcement and launch communications generator that creates coordinated multi-channel launch messaging from press releases to social posts to internal comms. Use when: product announcement, launch announcement, product launch comms, press release, launch communications, announce new feature, announce new product..
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
# Product Announcement (HERALD Protocol) Generate coordinated, multi-channel product launch communications that tell a consistent story across every audience and platform. ## When to Use - New product launches - Major feature announcements - Platform/pricing changes - Partnership announcements - Milestone announcements ## What You'll Need **Critical inputs (ask if not provided):** - What is being announced (product, feature, partnership) - Launch date - Target audience(s) **Nice-to-have:** - Position Lock output (messaging hierarchy) - Battle Scanner output (competitive context) - Approved quotes from executives/customers ## Process ### Step 1: HERALD Framework Structure the announcement across 6 layers: | Layer | What It Covers | Key Output | |-------|---------------|-----------| | **H**eadline | The headline story -- why this matters to the world | 1 sentence that would make someone stop scrolling | | **E**cho | Persona-specific angles on the same announcement | 3-5 message variants by audience | | **R**each | All announcement materials across channels | Full asset list below | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/product-announcement@git:20260516.4225f52mdr add varunk130/ai-gtm-skill-library/product-announcement@sha256:484f805db01a7996Pin 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_a337dnxv56zg4a6s)
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 (4997 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_a337dnxv56zg4a6s GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/product-announcement GET https://markdownregistry.com/api/v1/blob/484f805db01a79963c6db17d09d8f787ff1f684342be92b27d03cd81c4d05be6
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.