budget-allocator SKILL.md skillA

budget-allocator from varunk130/ai-gtm-skill-library is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add varunk130/ai-gtm-skill-library/budget-allocator@git:20261101.59b4c40

Pins git:20261101.59b4c40 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
varunk130/ai-gtm-skill-library
Path
gtm-skills/budget-allocator/SKILL.md
Versions recorded
2
Latest version
git:20261101.59b4c40, committed Nov 1, 2026
First version recorded
May 16, 2026
Size
10,017 bytes
Repository stars
7
License
MIT

Launch budget optimization using portfolio theory and scenario analysis with experimentation reserves. Use when: budget allocation, marketing budget, launch budget, how much to spend, budget planning, channel budget.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Budget Allocator (APEX Allocation Model)

A rigorous budget optimization engine that applies portfolio theory principles to marketing spend allocation, producing scenario-modeled investment plans with built-in experimentation reserves and continuous rebalancing triggers. APEX ensures every dollar is allocated to its highest-impact use while maintaining optionality for emerging opportunities.

## When to Use
- Planning marketing budget for a product launch
- Allocating spend across channels and timeframes
- Building ROI projections for budget approval
- Designing structured marketing experiments with kill criteria
- Stress-testing budget assumptions through sensitivity analysis
- Rebalancing mid-campaign when channels over- or underperform
- Justifying budget requests to finance or leadership

## What You'll Need

**Critical inputs (ask if not provided):**
- Total available budget and time horizon
- Target metrics (pipeline, revenue, CAC targets, ROI floor)
- Channel performance data or benchmarks (from demand-engine WAVE scores)
- Product and launch context (launch type, audience, market)
- Financial constraints or guardrails (max spend per channel, minimum ROI)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add varunk130/ai-gtm-skill-library/budget-allocator@sha256:88e2014219d83af2

The line at the top of this page pins the label git:20261101.59b4c40, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uvoxl3mqorsuvyfl.svg)](https://markdownregistry.com/a/art_uvoxl3mqorsuvyfl)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between May 16, 2026 and Nov 1, 2026, about one every 168 days.

versioncommittedcommitsizeaudit
git:20261101.59b4c40 latest2026-11-01 59b4c40 10,017 BA view · diff
git:20260516.4225f522026-05-16 4225f52 10,007 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (10017 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 · 7 stars · license MIT · pushed 2026-11-01 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_uvoxl3mqorsuvyfl
GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/budget-allocator
GET https://markdownregistry.com/api/v1/blob/88e2014219d83af2410bfcc01ef127f2fafcea933c07d9dcbf46779c70cb3bba

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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