Product Analytics Agent Skills

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

Structure the first 90 days of a VP or CPO transition as a diagnostic process, not an execution sprint, using a three-phase playbook to build evidence before making decisions.

Evaluate the financial impact of pricing changes using ARPU, conversion, churn risk, NRR, and payback analysis to make data-driven go/no-go decisions.

Evaluate SaaS unit economics and capital efficiency to determine if a business can scale efficiently or needs correction.

Translate design decisions into business value by reading financials, mapping competitive landscapes, and defending design work in ROI terms.

Map the end-to-end service delivery system including frontstage actions, backstage processes, and supporting infrastructure.

Define UX metrics and KPIs that connect design decisions to measurable business and user outcomes.

Build evidence and narratives that connect design decisions to measurable user, product, and business outcomes.

Audits game user experience across HUD clarity, menu navigation, tutorial effectiveness, control responsiveness, camera systems, feedback loops, loading screens, and settings completeness. Detects game engine (Unity UGUI/UI Toolkit, Unreal UMG, Godot Control, web-based), maps all UI screens and input contexts.

Automates translating and syncing App Store metadata (description, keywords, what's new, subtitle) to multiple locales using LLM translation and the asc CLI.

Selects candidate clips from analysis artifacts, applies brief-based must-have and must-avoid rules, and writes a selects_candidates.yaml plan.

Audits any movemental.com page across UI, content, architecture, UX, and conversion, then writes a markdown report and a standalone fix prompt.

Provides startup metrics frameworks and stage-specific benchmarks for SaaS, Marketplace, Consumer, and B2B models, including investor-ready dashboard generation.

Analyzes AI disruption pressure across a business, maps competitive exposure, and produces a 90-day defensive action plan.

Reference for designing SKU naming conventions, product hierarchies, and inventory classification schemes.

Diagnose SaaS business health across growth, retention, unit economics, and capital efficiency. Use when preparing a business review or prioritizing urgent fixes.

Evaluate acquisition channels using unit economics, customer quality, and scalability to decide whether to scale, test, or kill a growth channel.

Design rigorous A/B tests with clear hypotheses, controlled variants, appropriate metrics, and sample size calculations.

Extract, score, and backlog skill idea candidates from Claude Code session logs for a weekly skill generation pipeline.

Diagnoses business models using dontbesilent's ontological framework, offering consultation mode to dissolve problems and checkup mode to analyze business structures.

Reviews a video rough cut by generating deterministic metrics, critiquing the edit against brief and blueprint, and producing review_report.yaml and review_patch.json artifacts.

Runs a post-launch review of a shipped PRD against its success metrics, interviewing the user on metric movement, assumptions, and decisions, then publishing an outcome-review page to Confluence and updating linked artifacts.

Validates product direction before building, runs product diagnostics, founder reviews, user journey audits, and feature prioritization, producing actionable briefs and recommendations.

Generates a polished, leadership-ready performance briefing with KPI tiles, executive narrative bullets, and a driver analysis — all as a print-ready HTML document.

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Guides SaaS pricing strategy: selecting models, value metrics, packaging tiers, and applying psychology tactics to optimize revenue.