Skills for your AI
Generates C4 model architecture diagrams as Mermaid markdown from user descriptions or codebase exploration, at Context, Container, Component, Deployment, or Dynamic level. Use when the user asks for an architecture diagram, wants a codebase analyzed into syst
Hunts cache poisoning and web cache deception vulnerabilities in CDN-fronted web applications by mapping cache infrastructure, finding unkeyed headers, testing reflection and cache storage, and measuring blast radius. Use when testing an authorized target for
/cs:caio-review <plan> — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and s
Google Calendar and Outlook automation - scheduling optimization, meeting workflows, time blocking, and Slack/Sheets integration
Audits calendar data, scores recurring meetings, proposes consolidation and focus-block plans, drafts change messages, and executes approved changes. Use when the user wants to reclaim time, reduce meeting load, find focus blocks, or review calendar regression
Analyzes equipment calibration data and records to flag outliers, trends, and errors, check compliance, and organize schedules, certificates, and histories. Use when a quality control inspector provides calibration data, logs, certificates, or procedures and n
Builds and maintains equipment calibration and maintenance schedules, records, reminders, compliance reports, procedures, training materials, and cost analyses. Use when planning calibration or maintenance work, logging completed work, setting reminders, check
Guides lab technicians through calibration tasks including equipment selection, procedure writing, troubleshooting, data analysis, documentation, scheduling, and compliance. Use when a technician asks for calibration procedures, equipment recommendations, trou
Integrates AI into call center systems by training models, planning API integrations, designing agent UIs, testing, monitoring, routing calls, analyzing conversations and feedback, and forecasting volumes. Use when connecting AI to call center software, CRM, o
Detects, assesses, communicates, escalates, resolves, monitors, documents, trains for, evaluates, and prevents call center crises using customer interaction logs, monitoring feeds, and knowledge base data. Use when a supervisor reports a suspected or active cr
Analyzes call center customer feedback into sentiment, topics, categories, trends, satisfaction, competitor comparisons, root causes, priorities, reports, personas, and channel patterns. Use when a supervisor provides feedback text or data and asks for any of
Maps call center customer journeys from interaction and feedback data, producing touchpoint maps, personas, pain points, improvement proposals, follow-up templates, and benchmarks. Use when analyzing transcripts, chat logs, surveys, or tickets to map journeys,
Monitors call center metrics in real time, detects anomalies, alerts on threshold breaches, evaluates agents, forecasts volumes, and generates dashboards, reports, and coaching suggestions. Use when a supervisor needs live call log analysis, performance alerts
Manages the full call center report lifecycle — templates, data extraction and cleaning, analysis, generation, scheduling, distribution, archiving, tracking, and troubleshooting. Use when a supervisor needs a call center report created, analyzed, scheduled, di
Optimizes call center shift planning, coverage, breaks, overtime, time-off, and compliance from staff and workload data. Use when a supervisor needs demand forecasts, shift assignments, break plans, overtime or compliance checks, vacation planning, shift trade
Builds complete call center training materials—research, outlines, modules, scripts, quizzes, visual aids, case studies, exercises, and manuals—for call center supervisors. Use when a supervisor needs training content drafted, assembled, or reviewed.
Handles incoming call workflows for receptionists — screening, routing, prioritizing, messages, call-backs, scripts, escalation protocols, transcription, follow-ups, call data analysis, training and automation. Use when a receptionist needs help with an incomi
Analyzes call transcripts and quality data to evaluate agent performance, build QA guidelines, benchmarks, training modules, dashboards, and improvement plans. Use when a supervisor provides transcripts, resolution or escalation data, or asks for quality guide
Analyzes, refines, personalizes, and localizes call center scripts for clarity, empathy, compliance, and sales effectiveness, and builds escalation, closing, training, and monitoring materials. Use when a supervisor shares call scripts or asks for script rewri
Analyzes call transcripts and sentiment data to classify sentiment, track satisfaction trends, evaluate agent performance, find root causes, segment customers, design sentiment-based routing and surveys, and recommend product improvements. Use when a superviso
Turns historical call volume data into forecasts, staffing plans, and performance reports for call center supervisors. Use when analyzing call patterns, seasonality, campaign impact, intraday arrivals, forecast accuracy, or planning staffing and capacity.
Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI,
Plans, builds, and refines automated marketing systems across segmentation, email, social, CRM, A/B testing, reporting, chatbots, and predictive analytics. Use when the user needs customer segmentation, lead nurturing sequences, social scheduling, campaign KPI
Turns campaign performance data, chat interactions, customer feedback and market signals into insights, content improvements and optimization recommendations. Use when analyzing campaign results, segmenting audiences, optimizing content, designing A/B tests, t
