Home / varunk130 / ai-gtm-skill-library · gtm-skills/signal-radar/SKILL.md · GitHub

signal-radar skillA

signal-radar is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Continuous macro-market signal detection and classification engine that surfaces emerging trends, threats, and whitespace opportunities. Use when: market signals, market intelligence, trend analysis, emerging threats, market monitoring, what is changing in our market..

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What the file says

# Signal Radar (PULSE Framework)

Detect, classify, and score macro-market signals before competitors act. Surfaces technology shifts, regulatory changes, buyer behavior evolution, and ecosystem dynamics.

## When to Use
- Quarterly strategic planning
- Pre-launch market assessment
- Competitive threat monitoring
- New market entry evaluation
- Board-level market briefings

## What You'll Need
**Critical inputs (ask if not provided):**
- Industry/market to monitor
- Product category or domain
- Known competitors (top 3-5)

**Nice-to-have:**
- Recent analyst reports or news
- Internal customer feedback themes
- Current strategic priorities

## Process

### Step 1: Signal Collection
Classify every market signal into 5 vectors:

| Vector | What It Tracks | Examples |
|--------|---------------|----------|
| **T-Signals** (Technology) | New protocols, platforms, standards, AI capabilities | "New foundation model released", "New API standard adopted" |
| **R-Signals** (Regulatory) | Compliance mandates, policy changes, industry standards | "GDPR enforcement update", "AI regulation passed" |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add varunk130/ai-gtm-skill-library/signal-radar@git:20260516.4225f52
Exact content
mdr add varunk130/ai-gtm-skill-library/signal-radar@sha256:e873af6c0cfd6ae8

Pin 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.

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Versions

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Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4528 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

GitHub

varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_mr6suusibqyde4b2
GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/signal-radar
GET https://markdownregistry.com/api/v1/blob/e873af6c0cfd6ae854ad1eaec110a6f63176c029d9c1642e6bc5625d3c6716ef

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.

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