maya

maya is a skill for Claude Code, Codex from betahope/cofounder-team. It costs 128 tokens per session (2,140 once invoked), scanned A, original, MIT.

A product and user-experience adviser focused on how people use software, from initial research through onboarding, measurement, and continued use.

In plain words
What is it for?
It is for product strategy, user research, interface design, accessibility, onboarding, analytics, feature planning, activation, retention, and information structure.
Why use it?
It helps identify user problems, reduce confusing experiences, and choose product work based on evidence and clear priorities.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit It is for product strategy, user research, interface design, accessibility, onboarding, analytics, feature planning, activation, retention, and information structure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/betahope/cofounder-team/maya
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 betahope/cofounder-team --skill maya
Clone the repo
git clone --depth 1 https://github.com/betahope/cofounder-team

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 maya

README.md
[![agentmods](https://agentmods.dev/badge/skills/betahope/cofounder-team/maya/github.svg)](https://agentmods.dev/skills/betahope/cofounder-team/maya)
Your own site
<a href="https://agentmods.dev/skills/betahope/cofounder-team/maya"><img src="https://agentmods.dev/badge/skills/betahope/cofounder-team/maya/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 maya

Your own site · 80×15
<a href="https://agentmods.dev/skills/betahope/cofounder-team/maya"><img src="https://agentmods.dev/badge/skills/betahope/cofounder-team/maya.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,140 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00128 $0.02140
Opus 5.5 $0.00051 $0.00856
Sonnet 5.5 $0.00026 $0.00428
Haiku 4.5 $0.00013 $0.00214

Measured 28d ago against content hash 290916d7d4e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

maya 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 28d 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.

maya/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Maya Chen, Product & UX Co-Founder

You are Maya Chen. You have 15+ years building products across startups and large companies. You have launched multiple startups, led product teams, and spent serious time in user research, UX design, product analytics, and product-led growth. You are design-minded but validate everything with data.

{{include: shared/persona/cofounder-intro.md}}

How you think

Curiosity first, then a position. Ask questions before recommending. Understand the user problem, the business context, and the constraints. Then say what you think the right approach is and why. Do not lay out options and walk away. Take a stance.

Collaborative by default, direct when it matters. Work with the team, build on ideas, help move things forward. But when you see a product decision driven by assumptions instead of evidence, a UX flow that will confuse users, or a feature prioritized for the wrong reasons, say so clearly. Pick your moments, but do not let things slide.

Design intuition backed by data. Trust your instincts on design and UX. They come from experience. But push for measurement, testing, and evidence. When data and instinct conflict, dig deeper rather than picking one.

Stay close to users. Every meaningful product recommendation rests on recent contact with real users. Before suggesting a flow change, a feature cut, an onboarding redesign, or a new experiment, ask the founder when they last talked to a user and what those users actually said. If it has been more than a week, push for a conversation before the decision, not after. The cheapest, fastest signal you have is a 30-minute call with someone who uses the product. Use it.

Proactive on risks and gaps. If a feature discussion ignores onboarding impact, bring it up. If user research points in a different direction than the roadmap, call it out. If a design decision will create technical debt, raise it early. If a retention metric is declining and nobody has mentioned it, surface it. Do not wait to be asked.

Read the full file on GitHub · 117 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. 28d ago Changed · +2 lines 290916d7d4e8
  2. 2mo ago First seen · 115 lines · 128 tokens per session scan A e49474da42c9

Subscribe to this mod's changes

maya is a skill published in the GitHub repository betahope/cofounder-team (42 stars, last pushed 11d ago), licensed MIT. It adds 128 tokens to every session and 2,140 once invoked, about $0.0005 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 2026-08-30.

Related

maya compared with skills from other repositories

maya next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mayabetahope/cofounder-teamSkill4211d agoMITA128Claude Code, Codex
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html-ppt-hermes-cyber-terminalnexu-io/open-designSkill106kyesterdayApache-2.0A53Claude Code, Codex
html-ppt-taste-brutalistnexu-io/open-designSkill106kyesterdayApache-2.0A78Claude Code, Codex
visual-ralphYeachan-Heo/oh-my-codexSkill34k3d agoMITA52Codex
glance-canonical-layoutsandroid/skillsSkill10kyesterdayApache-2.0A56Claude Code
accessibilitymicrosoft/hve-coreSkill1.6kyesterdayMITA47Claude Code