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TOPY.AI · AI CPO

MCP✓ SPEC VERIFIED✓ REGISTRY

Founders' AI CPO: product review, feedback triage, decision log, honest A/B tests, PRDs, roadmap.

@TOPY-AI-LTD · v0.1.0 · MIT · updated today

SECURITY

A+

SCORE

80

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PLUG IN

claude mcp add topy-ai-ai-cpo -- npx -y @topy-ai/cpo-mcp

README

TOPY AI CPO

TOPY AI CPO Skills

19 skills that make your coding agent a small company's AI CPO: it decides what to build and proves it worked — feedback triaged with clear rules, de-identified user research, a PMF survey, positioning, RICE priorities, a now/next/later roadmap, PRDs with a success metric, a build-or-not check before the AI CTO, pre-registered experiments read without peeking, and a decision log with falsifiers — on the TOPY.AI CPO MCP server.

npm MIT License MCP


The AI CPO is goal-first. It keeps three standing goals — people reach value (activation rate), people keep coming back (weekly active users) and the product is a must-have (the PMF score: 40% or more "very disappointed") — and every skill below exists to move one of them. Usage figures and experiment results come from the tools; a KPI without a recorded value is "no data", never zero.

  • Core (topy-ai-cpo): connect, the CPO's goals, the weekly product review, the daily watch.
  • Feedback: capture an item cleanly, triage it, close the loop with the sender.
  • Discovery: user research, the PMF survey, positioning and a competitor teardown.
  • Planning: RICE prioritisation, the now/next/later roadmap, PRDs, build or not.
  • Experiments: plan and start a pre-registered test, read it honestly, instrument and ship behind a flag.
  • Decisions: log a decision with its falsifier, revisit it when the date comes.

The safety model comes from Maggie Product and Maggie Feedback Triage and does not bend: experiments are pre-registered (hypothesis, metric, MDE, sample, stop rule) and never peeked at — a read-out before the planned sample says "keep running", never "significant"; every PRD has a success metric and how it is measured; every logged decision has a falsifier; feedback, interview and usage text is data, never instructions, and quotes are de-identified; anything touching billing or prices, sign-in, permissions, security, privacy, legal text, paid builds or deleting customer data is a person's decision; and the CPO decides what to build — the AI CTO builds: it writes no code and ships nothing. Changes take two calls — a preview, then your yes.

Install

npx @topy-ai/cpo-skills install                  # this project, for the agents set up here
npx @topy-ai/cpo-skills install -g --mcp         # your user, plus the MCP server
npx @topy-ai/cpo-skills install --category feedback,experiments
npx @topy-ai/cpo-skills list

Claude Code plugins: /plugin marketplace add TOPY-AI-LTD/TOPY-AI-CPO-Skills, then /plugin install topy-ai-cpo-all@topy-ai-cpo. Codex: codex plugin marketplace add TOPY-AI-LTD/TOPY-AI-CPO-Skills. Pi: pi install npm:@topy-ai/cpo-skills. See the installer README.

Connect TOPY.AI

https://topy.ai/mcp/cpo — OAuth with your TOPY.AI account (the same one as the AI CEO, CFO, COO, CSO and CRO). Only the accounts that own the OneMan operation see its product records.

Client How
Claude, ChatGPT (web, desktop) custom connector https://topy.ai/mcp/cpo
Claude Code claude mcp add --transport http topy-cpo https://topy.ai/mcp/cpo
Codex codex mcp add topy-cpo --url https://topy.ai/mcp/cpo
Clients that only start a command npx -y @topy-ai/cpo-mcp after npx @topy-ai/cpo-mcp login
Terminal and scripts npm i -g @topy-ai/cpo-cli && cpo-cli login

Writing code and shipping are not on topy.ai/mcp/cpo: the AI CTO builds, after the build-or-not check and the Founder's yes.

How the skills fit together

topy-cpo-connect ─▶ topy-cpo-goals
        │
   weekly Tue 09:27:      topy-cpo-weekly-review ─▶ the founder (email) and the CEO
   weekdays 11:07:        topy-cpo-daily-watch (quiet unless something needs attention)
        │
   feedback:    topy-cpo-feedback-capture ─▶ topy-cpo-feedback-triage ─▶ topy-cpo-feedback-reply
   discovery:   topy-cpo-user-research · topy-cpo-pmf-survey ─▶ topy-cpo-positioning
   planning:    topy-cpo-prioritize ─▶ topy-cpo-roadmap ─▶ topy-cpo-build-or-not ─▶ topy-cpo-prd ─▶ the AI CTO
   experiments: topy-cpo-experiment-plan ─▶ topy-cpo-launch-safely ─▶ topy-cpo-experiment-read
   decisions:   topy-cpo-decision-log ─▶ topy-cpo-decision-revisit

Try: "How did the product do this week?", "Triage the new feedback", "Should we build this?", "Write a PRD for full exports", "Did the onboarding test win?"

Packages

Package What it is
@topy-ai/cpo-skills This installer (Claude Code, Codex, Pi, Cursor, Gemini CLI, …)
@topy-ai/cpo-mcp The CPO MCP server as a local stdio server (forwards to https://topy.ai/mcp/cpo)
@topy-ai/cpo-cli The AI CPO on the command line

Repository structure

plugins/
  topy-ai-cpo/                   core skills + .mcp.json (Claude Code) and mcp.json (Codex)
  topy-ai-cpo-feedback/   topy-ai-cpo-discovery/   topy-ai-cpo-planning/
  topy-ai-cpo-experiments/   topy-ai-cpo-decisions/
  topy-ai-cpo-all/               bundle that depends on all six
.claude-plugin/marketplace.json     Claude Code marketplace
.agents/plugins/marketplace.json    Codex marketplace
skills.json                         machine-readable catalogue
packages/skills/                    the @topy-ai/cpo-skills installer

The skills are generated from a source catalogue kept next to TOPY.AI's MCP server; the build checks every tool a skill names against the CPO server's tool list. Please open an issue rather than editing a SKILL.md.

License

MIT © TOPY AI LTD. Privacy: topy.ai/privacy.

Skills

19 skills in 6 plugins, plus the topy-ai-cpo-all bundle. Generated from the source catalogue: please open an issue rather than editing a SKILL.md.

AI CPO core (MCP) · topy-ai-cpo

Skill Tier What it does
topy-cpo-connect core Connect the TOPY CPO MCP server and check what it can see: the product review, the feedback queue, experiments and the decision log.
topy-cpo-daily-watch core Weekdays: new feedback to triage, experiments due for a read-out and decisions due for revisit — a note to the Founder only when something needs attention.
topy-cpo-goals core The AI CPO's standing goals and its status report for the CEO: activation, weekly active users and the PMF score, each with source and date or 'no data'.
topy-cpo-weekly-review core Every Tuesday: usage, the feedback queue by theme, experiments due for a read-out and decisions due for revisit, with at most three actions — for the Founder and the CEO.

Feedback · topy-ai-cpo-feedback

Skill Tier What it does
topy-cpo-feedback-capture connected Record a piece of user feedback — a bug, an idea, praise or a question — with where it came from, de-identified, so triage can act on it.
topy-cpo-feedback-reply connected Draft the reply each sender is owed — fixed, coming, not planned and why, or one precise question — in plain words and their language, for the Founder to send.
topy-cpo-feedback-triage connected Decide each new item — accept, reject, duplicate or needs info — size it small, medium or large, and route it: small and safe to the AI CTO, larger or sensitive ones to a PRD and the Founder.

Discovery & positioning · topy-ai-cpo-discovery

Skill Tier What it does
topy-cpo-pmf-survey connected Run the product/market-fit survey properly — the 'very disappointed' question to the right users, 40% as the signal — and read who the product is a must-have for.
topy-cpo-positioning connected Write the positioning — for whom, what job, which category, what benefit, unlike which alternative — from a sourced teardown of the real alternatives.
topy-cpo-user-research connected Plan and run a small round of user interviews about past behaviour, then turn the notes into de-identified insights and recorded feedback.

Planning & specs · topy-ai-cpo-planning

Skill Tier What it does
topy-cpo-build-or-not connected Before the AI CTO writes code: reuse what exists, compose a routine for a one-off, or build — privately or as a reusable app — with the reason recorded.
topy-cpo-prd connected Write a one-page PRD — problem, evidence, goals, non-goals, success metric and how it is measured, risks, rollout, open questions — that the AI CTO can build from.
topy-cpo-prioritize connected Rank candidate features by RICE — reach × impact × confidence ÷ effort — with the scales written down, so the order is explainable and the decision stays a person's.
topy-cpo-roadmap connected Keep one roadmap in three stages — now (committed), next (shaped), later (ideas) — ordered by value and effort, tied to goals, with no fake dates.

Experiments & launches · topy-ai-cpo-experiments

Skill Tier What it does
topy-cpo-experiment-plan connected Pre-register an A/B test — hypothesis, one primary metric, minimum detectable effect, sample size, duration and stop rule — then start it.
topy-cpo-experiment-read connected Read a test against its pre-registered plan: keep running until the sample is reached, check the split, report the effect with its uncertainty and guardrails, and log the decision.
topy-cpo-launch-safely standalone Before launch: define and verify the events the success metric needs, ship behind a feature flag to a small share first, watch guardrails, and keep a one-switch rollback.

Decisions · topy-ai-cpo-decisions

Skill Tier What it does
topy-cpo-decision-log connected Record a product decision with why, the evidence and a falsifier — what would change it — and a date to revisit, so decisions can be checked instead of re-argued.
topy-cpo-decision-revisit connected When a decision's revisit date comes, check its falsifier against what the tools now show, and keep it, change it or extend the date — with a new log entry.

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