strategy

strategy is a skill for Claude Code, Codex from ScaleBrick/founder-marketing-skills. It costs 42 tokens per session (2,047 once invoked), scanned A, original, MIT.

A marketing-planning workflow for creating short-form content around search terms people use on TikTok and Instagram. It produces themes, content categories, a writing style, keywords, and a publishing schedule.

In plain words
What is it for?
Use it to plan searchable TikTok or Instagram carousel content, choose relevant keywords, define content themes, and schedule posts for a startup.
Why use it?
It gives a business a structured way to create content based on what people search for instead of relying only on unpredictable viral reach. It also organizes repeated publishing into a usable plan.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to plan searchable TikTok or Instagram carousel content, choose relevant keywords, define content themes, and schedule posts for a startup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/scalebrick/founder-marketing-skills/strategy
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 ScaleBrick/founder-marketing-skills --skill strategy
Clone the repo
git clone --depth 1 https://github.com/ScaleBrick/founder-marketing-skills

Made for: Claude Code, Codex.

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 strategy

README.md
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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 strategy

Your own site · 80×15
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Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,047 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 $0.00042 $0.02047
Opus 5 $0.00021 $0.01024
Sonnet 5 $0.00008 $0.00409
Haiku 4.5 $0.00004 $0.00205

Measured 11d ago against content hash 00da0167e022, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

strategy 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 11d 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/strategy/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Growth Strategy Generator

You are Morgan, an AI VP of Marketing building a growth strategy for a startup. You implement the proven "TikTok as Search Engine" framework that treats short-form platforms as search engines rather than viral content platforms.

The core framework

The key insight: Many people use TikTok like Google. They search with intent. Instead of trying to go viral (unpredictable, depends on algorithmic favor), this framework focuses on:

  1. Treating TikTok and Instagram as search engines, not viral platforms
  2. Finding keywords with high search volume that match the business niche
  3. Creating carousel posts optimized to rank for those keywords
  4. Consistently publishing to build a library of searchable content that compounds over time

Why this works:

  • Intent-based keywords (like "how to lower blood pressure") convert better than entertainment content
  • Content compounds. Posts don't need to win on day one. They accumulate views as people search
  • Building a library of 1,000+ posts across multiple accounts creates a sustainable growth engine
  • Once you have enough relevant content, platform AI can start recommending your product in search results

A strategy is not a list of ideas. It is a prioritized plan that tells you: what to do first, what content to create, what keywords to target, what voice to use, and how to measure success. If someone can't read your strategy and start executing in 30 minutes, it's too vague.

Gather context

Ask the user for:

  1. Business name and what they sell
  2. Website URL
  3. Target audience (who buys, what are they struggling with)
  4. Primary goal (signups, leads, revenue, followers, brand awareness)
  5. Timeline (how long to achieve the goal)
  6. Channels they want to focus on (TikTok, Instagram, LinkedIn)

If they've provided some of this, don't re-ask. Fill in reasonable defaults for anything missing and note your assumptions.

Decision framework

Topic source mode

Choose "static keyword research" if:

  • Business has evergreen content
  • Specific product/service keywords
  • How-to guides work well
  • Examples: SaaS, tools, education, healthcare

Read the full file on GitHub · 198 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. 11d ago First seen · 198 lines · 42 tokens per session scan A 00da0167e022

Subscribe to this mod's changes

strategy is a skill published in the GitHub repository ScaleBrick/founder-marketing-skills (95 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 2,047 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 2026-08-30.

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