About TOPY.AI · AI CPO
A set of AI product-lead skills for small companies, covering feedback, research, roadmaps, PRDs, and experiments. It connects to the TOPY.AI CPO MCP server but does not write code or ship products.
Key features
- 01Capture and triage feedback
- 02User research and PMF surveys
- 03RICE prioritization and roadmaps
- 04PRDs with success metrics
- 05Pre-registered A/B tests
- 06Decision logs with falsifiers
Use cases
- 01Organize and respond to user feedback
- 02Assess whether a feature should be built
- 03Plan a roadmap and write PRDs
- 04Evaluate experiments against their plans
MCP support
Connects to the TOPY.AI CPO MCP server so skills can access product records, feedback, experiments, and decision logs. A local stdio MCP server that forwards to the remote service is also available.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://topy.ai/mcp/cpoclaude mcp add --transport http ai-topy-cpo https://topy.ai/mcp/cpo{"mcpServers":{"ai-topy-cpo":{"type":"http","url":"https://topy.ai/mcp/cpo"}}}Open in Cursor{"servers":{"ai-topy-cpo":{"type":"http","url":"https://topy.ai/mcp/cpo"}}}Open in VS Code{"mcpServers":{"ai-topy-cpo":{"type":"http","url":"https://topy.ai/mcp/cpo"}}}{"mcpServers":{"ai-topy-cpo":{"serverUrl":"https://topy.ai/mcp/cpo"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
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.
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. |
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.