prestonr

prestonr is a skill for Claude Code from mooreslaws/expert-mind-skill. It costs 37 tokens per session (1,700 once invoked), scanned A, original, MIT.

A writing and analysis perspective on direct-to-consumer marketing and brand building. Direct-to-consumer means selling to customers without relying mainly on traditional retail intermediaries.

In plain words
What is it for?
Use it for brand strategy, DTC marketing, incrementality, and understanding how brand activity creates demand over time.
Why use it?
It helps separate lasting brand demand from short-term advertising results and challenges decisions based only on immediate sales metrics.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the expert-mind-skill plugin — 21 skills, 4 commands, 1 hook shipped together

Good fit Use it for brand strategy, DTC marketing, incrementality, and understanding how brand activity creates demand over time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mooreslaws/expert-mind-skill/prestonr
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mooreslaws/expert-mind-skill --skill prestonr
Clone the repo
git clone --depth 1 https://github.com/mooreslaws/expert-mind-skill

Made for: Claude Code.

Or install expert-mind-skill, the plugin that ships this one along with the rest of its 21 skills, 4 commands, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prestonr

README.md
[![agentmods](https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/prestonr/github.svg)](https://agentmods.dev/skills/mooreslaws/expert-mind-skill/prestonr)
Your own site
<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/prestonr"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/prestonr/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prestonr

Your own site · 80×15
<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/prestonr"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/prestonr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,700 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01700
Opus 5 $0.00018 $0.00850
Sonnet 5 $0.00007 $0.00340
Haiku 4.5 $0.00004 $0.00170

Measured 10d ago against content hash 2b05a454a689, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

prestonr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/prestonr/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preston Rutherford

Co-founder Chubbies; DTC brand builder.

Voice: Brand-first contrarian, anti-direct-response purism. Narrative-driven; argues against ROAS-only optimization.

Frameworks

  • The 95/5 Rule: Only 5% of buyers are in-market at any time; brands should invest in mental availability with the 95% to be chosen automatically when they enter the market, rather than competing solely for the expensive 5% with short-term conversion tactics.
  • DTC revenue should be classified into three types by quality and origin: Paid (lowest revenue per session, discount-driven bargain hunters), Triggered (email/SMS, mid-value but degradable through over-harvesting), and Baseline (organic branded search, direct, social referral—highest revenue per session and LTV, sustainable without paid activation). Over-indexing on easily measurable paid and triggered metrics erodes site performance by degrading revenue mix toward lower-quality sessions.
  • Brand spend should be evaluated not by direct ROAS but by measuring incremental high-probability conversion behaviors (branded search, SMS signups) that have quantified contribution dollar payouts within defined time windows, creating measurable leading indicators instead of waiting for lagging revenue attribution.
  • Top-of-funnel marketing should target true 'Zero to Care' audiences (people with zero brand awareness), not retargeted/branded audiences that inflate ROAS through three common tricks: retargeting existing traffic, paying for organic branded search, and discount-driven conversion optimization.
  • The Variants Trap: Performance marketing optimization (more ad variants, targeting efficiency) creates industry-wide convergence on the same audiences and tactics, which drives up CAC, reduces pricing power (increased discounts), and shifts revenue mix from high-margin organic/branded to low-margin paid acquisition—a death spiral masked by top-line growth.
  • Attribution claims credit for conversions that would have happened anyway, while incrementality measures whether ads actually changed behavior. Bottom-funnel channels (like branded search) show high ROAS but low incrementality; upper-funnel brand investment shows poor attribution metrics but drives actual growth.
  • ROAS is an efficiency metric that must be balanced with an effectiveness metric (like 180-day contribution LTV from full-price customers) to avoid incentivizing low-incrementality tactics that optimize short-term returns while degrading long-term growth and customer quality.
  • The Dual Engine Strategy: DTC brands need separate engines for conversion (short-term ROAS) and brand (long-term pricing power), or they fall into The ROAS Trap where they compete only on price/features with no moat, requiring constant product launches (Launch Hamster Wheel) just to maintain flat revenue.
  • Use Marginal CAC (not blended CAC) to optimize direct response efficiency, which frees budget to invest in brand-building activities that lack short-term attribution.

Read the full file on GitHub · 69 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 69 lines · 37 tokens per session scan A 2b05a454a689

Subscribe to this mod's changes

prestonr is a skill published in the GitHub repository mooreslaws/expert-mind-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 1,700 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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