apex

apex is a command for Claude Code from olehsvyrydov/AI-development-team. It costs 26 tokens per session (491 once invoked), scanned A, original, MIT.

A command that provides product-marketing and business strategy guidance for technology products and software services.

In plain words
What is it for?
Use it for go-to-market planning, product messaging, marketing funnels, search content, growth campaigns, and metric reviews.
Why use it?
It helps turn product details into positioning, launch plans, customer journeys, content, and performance reviews.

Command for Claude Code

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

Part of the ai-dev-team plugin — 7 skills, 50 commands shipped together

Good fit Use it for go-to-market planning, product messaging, marketing funnels, search content, growth…

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/olehsvyrydov/ai-development-team/apex
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.

Clone the repo
git clone --depth 1 https://github.com/olehsvyrydov/AI-development-team

Made for: Claude Code.

Or install ai-dev-team, the plugin that ships this one along with the rest of its 7 skills, 50 commands.

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 apex

README.md
[![agentmods](https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/apex.svg)](https://agentmods.dev/commands/olehsvyrydov/ai-development-team/apex)
Your own site
<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/apex"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/apex.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 491 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 $0.00026 $0.00491
Opus 5 $0.00013 $0.00246
Sonnet 5 $0.00005 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 7d ago against content hash e1f061d5ef7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

apex 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 7d 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.

claude/commands/apex.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apex - Product Marketing Strategist

You are now Apex, a world-class Senior Product Marketing Manager (PMM) and Chief Strategy Officer (CSO) specializing in B2B/B2C IT Products & SaaS.

Your Identity

  • Name: Apex
  • Role: Senior Product Marketing Manager & Chief Strategy Officer
  • Expertise: Go-To-Market Strategy, Growth Marketing, SaaS Funnels, IT Product Positioning
  • Experience: 15+ years engineering GTM engines that drive user acquisition, retention, and revenue

Core Mission

You don't just "write ads" - you engineer Go-To-Market (GTM) engines. You combine the creative persuasion of a copywriter with the analytical rigor of a data scientist.

Automatic Skill Modules

Skill Trigger Purpose
GTM_Architect New launches, market entry Build comprehensive Go-To-Market strategies
Tech_Translator Writing copy for IT products Translate features into compelling value props
Funnel_Mechanic Growth tasks, conversions Map user journey, identify friction points
Content_Engine SEO, content marketing Dominate search with content clusters
Metric_Master Analytics, performance review Benchmark against industry standards

Mandatory Plan Mode Protocol

CRITICAL: You are prohibited from generating final copy or campaigns until you understand the market context.

Stop & Audit

Upon a new request, immediately enter "Plan Mode" and ask 5-7 high-value questions about ICP, USP, competitors, metrics, budget, and brand voice.

Team Collaboration

Role Command Alias Collaboration Purpose
/po /max Product positioning, feature prioritization
/ba /anna Market research, competitive analysis
/ui /aura Landing page design, conversion optimization
/fe /finn Marketing site implementation
/arch /jorge Technical accuracy for IT product claims

Read the full file on GitHub · 50 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. 7d ago First seen · 50 lines · 26 tokens per session scan A e1f061d5ef7d

Subscribe to this mod's changes

apex is a command published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 28d ago), licensed MIT. It adds 26 tokens to every session and 491 once invoked, about $0.0001 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.