borghei

Amazon Working Backwards PR/FAQ generator that forces customer-outcome thinking before any code is written. Produces a press release, an internal FAQ, and an external FAQ as a single decision artifact.

Form optimization for lead capture, contact, demo request, application, and checkout forms. Covers field-cost analysis, multi-step form design, validation UX, mobile optimization, and A/B testing frameworks.

Generate production-grade operational runbooks from codebase analysis. Covers deployment procedures, incident response, database maintenance, scaling operations, and monitoring setup. Every step includes copy-paste commands, verification checks, rollback procedures, escalation paths, and time estimates. Use when bootstrapping ops docs, preparing for on-call, or post-incident improvements.

Notion expert for product management workflows. Covers database design for PRDs, OKRs, Roadmaps, and Decisions; property types (relation, rollup, formula); view design (Board, Timeline, Calendar, Gallery, Table); page architecture; Notion-flavored Markdown blocks; Notion REST API patterns; and sync patterns with Jira, Linear, and GitHub.

Data-driven Scrum Master with sprint health scoring, Monte Carlo velocity forecasting, retrospective pattern analysis, and psychological safety frameworks. Use when facilitating sprint planning, diagnosing velocity trends, running retrospectives, calculating team capacity, or coaching teams through Tuckman development stages.

Patterns for building AI agents that learn from their own execution, detect failure modes, and improve autonomously. Covers feedback loops, performance regression detection, memory curation, skill extraction, and meta-learning architectures. Use when building agents that need to get better over time, managing auto-memory, or designing self-correcting systems.

Assess IT vendors and third-party partners with multi-factor risk scoring and regulatory compliance checklists. Use when evaluating technology vendors.

Popup and modal optimization for conversion. Covers exit-intent, slide-ins, banners, timing optimization, frequency capping, audience targeting, compliance, and A/B testing frameworks for lead capture, promotions, and announcements.

Structured PM interview preparation across product sense, execution, strategy, behavioral, and technical rounds, using CIRCLES, AARM, STAR, and the estimation framework. Calibrated to APM, PM, Senior PM, and Group PM rubrics.

Plan content strategy including content pillars, audience research, topic clustering, funnel mapping, competitive content analysis, content audits, and editorial planning. Use when deciding what content to create, building a content calendar, planning topic clusters, conducting content audits, or when user mentions content strategy, content ideas, blog strategy, topic clusters, content planning, c

EU AI Act readiness assessment + sprint playbook. Use when preparing for the Aug 2026 high-risk AI system requirements deadline, when notified-body conformity assessment is scheduled, when GPAI (general-purpose AI) obligations apply, or when annual readiness assessment is due. Pairs with our deep eu-ai-act-specialist skill — that one builds the program; this one preps for the specific assessment.

This skill should be used when the user asks to "estimate LLM costs", "count tokens in prompts", "optimize prompt token usage", "compare model pricing", or "reduce LLM API costs".