Эксперт Customer Journey. Используй для mapping touchpoints, user experience и journey optimization.

Jobs-to-be-Done (JTBD) customer persona development with priority matrix, buying journey mapping, and decision criteria analysis. Creates actionable buyer personas for product and marketing decisions.

Synthesize research, data, and insights to create a rich, actionable buyer persona with demographics, psychographics, jobs-to-be-done, pain points, motivations, buying journey, and channel preferences. Use when the user needs to understand their target customer deeply or create a customer persona for marketing strategy.

Expert customer success manager specializing in customer retention, growth, and advocacy. Masters account health monitoring, strategic relationship building, and driving customer value realization to maximize satisfaction and revenue growth.

Эксперт Customer Success. Используй для onboarding, retention, upsell и customer health scoring.

Build scalable customer support systems including help centers, chatbots, ticketing systems, and self-service knowledge bases. Use when designing support infrastructure, reducing support load, improving customer satisfaction, or scaling support without linear hiring.

Craft empathetic, effective customer support responses that solve problems

Create or update a trace validating work connects to customer value

Ingest and organize raw career data from Obsidian notes, CSV files, zip archives, and markdown documents into the Universal CV portfolio system. Use when processing career history, work experience, testimonials, case studies, or resume data from multiple sources. Outputs structured YAML/Markdown validated against Zod schemas.

Expert CV/resume writer with deep ATS optimization, job description analysis using chain-of-thought reasoning, industry-specific formatting (tech, business, creative, academic, executive), and strategic career positioning. Use when users need help with creating or updating CVs/resumes, analyzing job descriptions to identify keywords and requirements, optimizing existing CVs for ATS systems, tailoring CVs for specific jobs or industries, improving CV sections or bullet points, translating experience into achievement-driven narratives, addressing career gaps or transitions, or selecting appropriate CV formats for different fields and career levels.

Real-world ROI case study for healthcare content automation pipeline. Clínica Mente Saudável case with validated metrics - 99.4% time reduction (4h15m to 1.5min), 92.4% cost reduction (R$192.50 to R$14.70), +180% monthly ROI turnaround. Includes detailed cost breakdown, optimization strategies, and business impact analysis. Use when evaluating ROI, presenting business case, or validating automation benefits.

Agent system taxonomy (A/B/C/D) based on capabilities - Type A (pure AI), Type B (AI+database context), Type C (AI+web grounding), Type D (AI+database+web). Includes latency/cost analysis, decision tree, healthcare pipeline mapping, and ROI optimization. Use when designing agent architecture, selecting agent type, optimizing costs, or implementing multi-agent workflows.

Brazilian healthcare compliance for regulated medical and psychological content. Includes LGPD data protection, CFM/CRP/ANVISA regulatory requirements, scientific research validation, and data sanitization. Use when developing healthcare applications, ensuring LGPD compliance, validating medical content, implementing data protection, or creating regulated healthcare systems in Brazil.

Healthcare SEO strategy for Brazilian medical and wellness professionals. Includes specialized keyword research (dermatology, psychology, nutrition), professional content templates, local SEO optimization, and regulatory-compliant content structures. Use when optimizing healthcare websites, creating medical practice content, implementing local SEO for health professionals, or building patient acquisition funnels.

Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling (retry/circuit breaker), and monitoring. Includes production metrics from healthcare pipeline (99.4% latency reduction, 92.4% cost reduction). Use when designing multi-agent systems, implementing complex pipelines, optimizing workflow performance, or building production orchestration.

Complete Vertex AI and Google Cloud Platform setup for Clojure agent development. Includes GCP project saas3-476116 credentials, security best practices (IAM, key rotation, LGPD), cost analysis, API enablement, and environment configuration. Use when starting new Clojure+Vertex project, configuring GCP credentials, implementing security compliance, or troubleshooting authentication.

Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.

Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.

cybersecurity-analyst

Generate enterprise cybersecurity policies from 51 professional templates (SANS, CIS Controls) for ISO 27001, SOC 2, NIST, and CIS Controls compliance in Markdown, Word, HTML, and PDF formats

You are an expert in cycle counting and inventory accuracy management. Your goal is to help design and optimize cycle counting programs that maintain high inventory accuracy while minimizing operation

Plan Linear cycles using velocity analytics. Suggests scope based on historical capacity, identifies dependency risks, balances workload.

Classify problems into Cynefin Framework domains (Clear, Complicated, Complex, Chaotic, Confusion) and recommend appropriate response strategies. Use when unsure how to approach a problem, facing analysis paralysis, or needing to choose between expert analysis and experimentation.

Use when advanced Cypress features including custom commands, plugins, and network stubbing.

Use when cypress CI/CD integration including parallelization, test recording, and media capture.

Use when cypress fundamentals including commands, assertions, fixtures, and E2E testing patterns.

Execute bug fix plan. Creates ./.gtd/debug/current/FIX_SUMMARY.md

Verify hypotheses with debug logging. Updates ./.gtd/debug/current/ROOT_CAUSE.md

Generate clear, well-structured, and visually appealing D2 diagrams from textual descriptions. D2 is a modern diagram scripting language that transforms text into professional diagrams with support fo

Assigns confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).

Synthesizes actionable feedback from validation results, confidence scores, and iteration triggers. Creates structured improvement guidance for re-execution. Activate on 'synthesize feedback', 'improvement suggestions', 'actionable feedback', 'iteration guidance', 'feedback generation'. NOT for iteration detection (use dag-iteration-detector) or convergence tracking (use dag-convergence-monitor).

Validates agent outputs against expected schemas and quality criteria. Ensures outputs meet structural requirements and content standards. Activate on 'validate output', 'output validation', 'schema validation', 'check output', 'output quality'. NOT for confidence scoring (use dag-confidence-scorer) or hallucination detection (use dag-hallucination-detector).

Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).

Design modern, intuitive DAG/workflow visual editors that feel like LEGO, not LabView

Compose daily blog posts in a multi-post single-file format from multiple data sources including Mastodon and Linkding. Use this skill when the user requests to create, update, or revise daily blog posts throughout the day.

Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.

**CRITICAL FIRST STEP**

Generate context-aware daily plan with calendar, tasks, and priorities. Includes midweek awareness, meeting intelligence, commitment tracking, and smart scheduling suggestions.

Expert on building decentralized applications with Shelby Protocol storage on Aptos. Helps with dApp architecture, wallet integration (Petra), browser SDK usage, React/Vue integration, file uploads, content delivery, and building Shelby-powered applications. Triggers on keywords Shelby dApp, build on Shelby, Shelby application, Petra wallet, browser storage, web3 app, decentralized app Shelby, React Shelby, Vue Shelby.

Automatically generate dark mode color schemes from light mode designs with intelligent color inversion, contrast preservation, and accessibility compliance (WCAG 2.2).

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Database access layer guidelines for Quantum Skincare's Prisma-based data-access library. Covers Prisma schema design, DAO patterns, UUID primary keys, PostgreSQL role-based access control (RBAC), migration workflows, type-safe queries, transaction handling, soft deletes, and testing strategies. Use when working with Prisma schema, DAOs, database migrations, or data access patterns in libs/data-access.

This skill should be used when analyzing business sales and revenue data from CSV files to identify weak areas, generate statistical insights, and provide strategic improvement recommendations. Use when the user requests a business performance report, asks to analyze sales data, wants to identify areas of weakness, or needs recommendations on business improvement strategies.

Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets

Manage metadata, lineage, and discovery.

Data classification framework including sensitivity levels, handling requirements, labeling, and data lifecycle management

Clean and standardize vehicle insurance data following established business rules.

Operating model for defining, enforcing, and auditing BI data contracts.