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.
npx skills add brainbytes-dev/everything-claude-marketing --skill brand-positioninggit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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.
[](https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/brand-positioning)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/brand-positioning"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/brand-positioning/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.
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/brand-positioning"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/brand-positioning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.01872 |
| Opus 5.5 | $0.00010 | $0.00749 |
| Sonnet 5.5 | $0.00005 | $0.00374 |
| Haiku 4.5 | $0.00003 | $0.00187 |
Grade A, and why
brand-positioning 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Positioning
When to Activate
- Launching a new brand or product and need to define market position
- The brand feels undefined, generic, or interchangeable with competitors
- Entering a new market or audience segment
- Competitors have shifted and the current position is no longer differentiated
- A merger, acquisition, or pivot requires repositioning
- Internal teams cannot articulate what makes the brand different
- Customer perception research reveals a gap between intended and actual positioning
First Questions
- What category do you compete in? (And is that the right category?)
- Who is your ideal customer? Be specific — not "everyone."
- What is the single most important thing you want customers to believe about your brand?
- What proof do you have that this claim is true?
- Who are your top three competitors, and how do customers choose between you?
- If your brand disappeared tomorrow, what would customers miss most?
- What would you like customers to say about you that they are not saying today?
Positioning Statement Formula
Geoffrey Moore's Classic Framework
For [target customer]
who [statement of need or opportunity],
[brand name] is a [product category]
that [key benefit / reason to buy].
Unlike [competitive alternative],
our product [primary differentiation].
Example — Slack (early days): For teams who struggle with scattered communication across email and chat, Slack is a workplace messaging platform that brings all your conversations, tools, and files into one place. Unlike email or basic chat apps, Slack organizes communication into searchable channels by topic, project, or team.
Rules for Effective Positioning Statements
- One primary benefit, not a laundry list
- The differentiation must be provable, not aspirational
- The competitive alternative should be what customers actually use today (may not be a direct competitor — could be "spreadsheets" or "doing nothing")
- Keep it to one paragraph — if you cannot, the positioning is not focused enough
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.
- 2mo ago First seen · 185 lines · 26 tokens per session scan A 867277a027a5
brand-positioning is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 1,872 once invoked, about $0.0001 per session on Opus 5.5. 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.
brand-positioning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| brand-positioningbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |