The ladder

Reconstructs why an account really left from tickets, usage logs and the goodbye email.

Attacks your agent configs with 200 seeded prompt-injection cases before your users do.

Tracks mutual commitments across email threads and generates a prioritized reply queue in your voice.

Metric reconciliation and calculation, A/B readout, data quality, EDA, explain and optimize SQL, weekly report, systematic debugging.

Three skills that stop an AI assistant from agreeing with a bad product idea: prove the premise, hobby or business, one real conversation.

Statistics, forecasting and e-commerce analytics: EDA, hypothesis tests, A/B, causal inference, cohorts, dashboards, SQL optimization, ARIMA and Prophet forecasts, RFM.

40 App Store Optimization skills: keyword research, metadata, competitor tracking, screenshots, reviews, and launch plans for iOS and Android.

KPI dashboard design and data storytelling: choose the metrics, lay out the dashboard, and turn results into a narrative stakeholders act on.

Metric diagnostics, data quality analysis, KPI design and reporting, dashboards, reports, notebooks, market sizing, business context gathering.

31 analyst skills with scripts: EDA, data quality audit, query validation, semantic model, metric reconciliation, A/B, cohort, funnel, time series, dashboard spec, narrative, executive summary, stakeholder intake.

dbt Labs' official skills: answer questions through the semantic layer, build semantic models, write and document models, run and troubleshoot dbt, unit tests, state, mesh.

Experiment design and analysis done properly: CUPED, sequential testing, ratio metrics, dashboard reconciliation, plus analytics strategy, product analytics setup and funnel architecture.

13 founder skills that take an idea from validation to pitch deck: product brief, competitor matrix, pricing, MVP scope, go-to-market, fundraising prep.

A sequenced go-to-market playbook for developer tools and AI products: who it is for, talk to users, positioning, value prop, first 50 users, launch, pricing, growth loops, knowing if it works.

Anthropic's data plugin: write and review queries, explore data, statistical analysis, charts and dashboards, validate data, extract data context.

Google's Looker skills: dashboards, LookML models, views, explores, fields, tests, refinements, performance, CLI, BigQuery connection.

The ten product-facing skills from a 50-skill SaaS marketing collection: launch, product marketing, pricing, competitors, customer research, A/B testing, analytics, onboarding, churn prevention.

3 analytics skills for product work: A/B test analysis, cohort analysis, and SQL queries written from a plain question.

16 execution skills: PRD, user and job stories, OKRs, outcome roadmap, sprint plan, prioritization frameworks, pre-mortem, retro, release notes, stakeholder map, meeting summaries.

6 go-to-market skills: GTM strategy and motions, ideal customer profile, beachhead segment, competitive battlecard, growth loops.

7 market research skills: competitor analysis, market sizing, segments and personas, customer journey map, sentiment analysis, user segmentation.

13 discovery skills: interview scripts and summaries, assumption mapping, opportunity solution trees, feature request analysis, experiment and idea brainstorms, prioritization.

12 strategy skills: product vision and strategy, value proposition, business model and lean canvas, pricing and monetization, SWOT, PESTLE, Porter's five forces, Ansoff matrix.

68 product management skills across the full cycle: problem statements, interview synthesis, PRDs, user stories, OKRs, experiment design, launch checklists, release notes, retrospectives.

12 deep product skills: problem framing, specification writing, discovery research, competitive analysis, strategy, GTM, pricing and packaging, metric design, stakeholder alignment, executive writing.

Turns raw customer interview transcripts into screened, clustered, sized opportunities: ICP screening, phase mapping, opportunity analysis, clustering, sizing.

Market sizing, competitive landscape, startup metrics framework, financial modeling, and team composition analysis.