budget-allocator skillA
budget-allocator is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: 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..
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
# 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
mdr add varunk130/ai-gtm-skill-library/budget-allocator@git:20260516.4225f52mdr add varunk130/ai-gtm-skill-library/budget-allocator@sha256:cdada86d61ab5314Pin 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_uvoxl3mqorsuvyfl)
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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 (10007 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_uvoxl3mqorsuvyfl GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/budget-allocator GET https://markdownregistry.com/api/v1/blob/cdada86d61ab531452e4f5c9c3011a6785d221d89896b355983c4d01ff545a03
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