AdvancedAlireza Rezvani

Product Skills: 12 Product-Management Workflows for AI Agents

Product Skills is a router for 12 bundled product-team skills. It sends a request to one specialist workflow for prioritization, strategy, UX research, design systems, competitive analysis, product analytics, experiments, discovery, roadmaps, spec-to-repo work, landing pages or SaaS scaffolding. Four related plugins are packaged separately. It is a product-management toolkit, not an ecommerce-specific skill.

Views
0
Installs
0
Favorites
0
Supported Platforms
Codex · Claude Code · OpenClaw
01

What this Skill does

Use this router when a product request spans several possible disciplines and the correct workflow is not obvious. It reads the request signals, picks exactly one specialist skill, and asks one clarifying question when two or more routes match. The router itself has no scripts. The selected skill provides its own instructions, scripts, references, and assets.

02

What makes it different

01

One route, one specialist workflow

The router avoids blending several product methods into one vague answer. It selects one skill and then hands control to that skill’s own workflow.

02

Twelve bundled product jobs

The bundle covers RICE prioritization, OKRs, UX research, design systems, competitive analysis, product analytics, experiments, discovery, roadmaps, spec-to-repo work, landing pages, and SaaS scaffolding.

03

Useful to an ecommerce product team, but not ecommerce-specific

An ecommerce team can use the workflows for checkout experiments, retention analysis, catalog-tool requirements or roadmap communication. Store data, platform constraints and operating policy still have to be supplied by the team.

03

Before you install

Install the bundle, not only the router file

The router points to sibling skills. Installing only product-skills/SKILL.md leaves it with nowhere to route the request.

Review scripts before granting repository or data access

Some selected skills can run scripts or work with repository files. Check the selected skill and keep customer, payment and production credentials out of prompts.

04

Install and get started

Codex universal installer

The repository documents this command for installing its skill library into Codex.

  1. Preview or review the package source if your environment requires it.
  2. Run the command in the account that owns the Codex skills directory.
  3. Restart the agent if the new skills are not discovered immediately.
npx agent-skills-cli add alirezarezvani/claude-skills --agent codex
05

Original Skill.md

The complete source is shown below. Copy it from the top right to use it.

Match the product request to exactly one of these 12 bundled skills: product-manager-toolkit, product-strategist, ux-researcher-designer, ui-design-system, competitive-teardown, product-analytics, experiment-designer, product-discovery, roadmap-communicator, spec-to-repo, landing-page-generator, or saas-scaffolder. Load that skill's SKILL.md and follow its scripts, references, and assets. If two or more routes match, ask one clarifying question before loading anything. If no route matches, say so instead of improvising. This router ships no tools of its own.
06

Get started

Starter prompts for the main use cases—copy and use them directly.

01

Route a feature-prioritization request

Sends a feature-ranking request to the product-manager-toolkit workflow rather than answering with an unstructured opinion. Use when the team has candidate features and enough evidence to compare reach, impact, confidence and effort.

Show prompt and variablesHide prompt and variables
Use Product Skills to route this request: prioritize [FEATURES] for [PRODUCT]. Evidence available: [EVIDENCE]. Business constraint: [CONSTRAINT]. Do not score missing inputs as zero; ask for the single input that would most change the result.

Replace these variables

[FEATURES]
Candidate features
[PRODUCT]
Product or workflow
[EVIDENCE]
Usage, interviews, revenue, support, or effort evidence
[CONSTRAINT]
Time, platform, policy, or team constraint
02

Route an ecommerce product experiment

Selects experiment-designer when the team needs a measurable test for a storefront or retention change. Use for checkout, search, recommendation, onboarding or retention hypotheses with a measurable outcome.

Show prompt and variablesHide prompt and variables
Use Product Skills to route an experiment for [CHANGE] on [SURFACE]. Primary outcome: [OUTCOME]. Current baseline: [BASELINE]. Traffic or sample available: [SAMPLE]. Guardrails: [GUARDRAILS].

Replace these variables

[CHANGE]
Proposed change
[SURFACE]
Storefront or product surface
[OUTCOME]
Primary measurable result
[BASELINE]
Current result
[SAMPLE]
Available users, orders, sessions, or time
[GUARDRAILS]
Results that must not deteriorate
03

Route a retention or funnel question

Selects product-analytics when the question requires cohort, funnel or retention evidence. Use when a team needs to diagnose where adoption, checkout or repeat purchase drops.

Show prompt and variablesHide prompt and variables
Use Product Skills to route this analytics question: [QUESTION]. Product event definitions: [EVENTS]. Cohort or segment: [COHORT]. Date range: [DATES]. State which missing field blocks a defensible answer.

Replace these variables

[QUESTION]
Decision the analysis must support
[EVENTS]
Trusted event and metric definitions
[COHORT]
Users or accounts to compare
[DATES]
Analysis window
07

Risks and operating notes

Routing is not evidence

Selecting the right product method does not make weak store data, invented customer research or unsupported revenue assumptions valid.

Keep operational approval outside the skill

A generated roadmap, experiment or repository scaffold still needs approval from the people responsible for customer impact, data and production systems.

Community rating results

Task effectiveness
Setup and ease of use
Reliability and guardrails
Documentation clarity
Time to first useful result

No reviews yet.

Leave a review

Rate every dimension, then share your real experience.

Task effectiveness
Setup and ease of use
Reliability and guardrails
Documentation clarity
Time to first useful result
Author / maintainer

Alireza Rezvani

HealthTech CTO and open-source maintainer focused on applied AI, agentic coding, and practical skills for product, research, growth, and operations teams.

Content checked: