Skills for your AI
Designs, configures, and troubleshoots CI/CD pipelines covering tests, builds, deployments, IaC, containers, monitoring, and rollbacks. Use when the user asks for pipeline configuration, deployment scripts, Dockerfiles, Terraform, test automation, blue-green r
Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment wor
Extracts and validates credentials from CI/CD pipelines, HashiCorp Vault, and AWS, Azure and GCP secret stores during authorized security assessments. Use when testing pipeline environments, vaults, or cloud secret managers and pivoting with recovered secrets.
Hunts exploitable CI/CD pipeline vulnerabilities in GitHub Actions, Jenkins, GitLab CI, and Terraform by fingerprinting targets and confirming findings with proof. Use when auditing pipelines, testing Jenkins script console or CVE-2024-23897, checking pull_req
Guides QA testers through continuous integration work including test case generation, build automation, code review, integration testing, deployment, version control, monitoring, environment setup, scripting, tool integration, and CI optimization. Use when pla
Turns a frontend project or webpage into a cinematic product video using real screenshots, 2.5D camera moves, beat-synced cuts, and sound design. Use when the user wants a promotional product video, a template-based or free-creation video, a single shot-card m
Develops and guides IT strategy from assessment through execution, covering technology alignment, competitor analysis, stakeholder engagement, risk, goals, resources, vendors, governance, roadmaps, and IT services. Use when a CIO needs help assessing current s
Supports CIOs with project planning, resource and vendor management, scheduling, risk, stakeholder communication, quality, change and issue tracking, performance reporting, training, closure, and agile portfolio guidance. Use when a CIO needs project plans, sc
Supports CIOs through the full technology vendor lifecycle, from research and RFP through evaluation, negotiation, POC, monitoring, and exit planning. Use when researching vendors, building evaluation frameworks, drafting RFPs, comparing proposals, checking re
Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap (SOC 2/ISO 27001/HIPAA/GDPR), security architecture strategy, incident response leadership, and board-level security reporting. Use when building security progra
/cs:ciso-review <plan> — Risk-paranoid interrogation of any plan that touches data, compliance, or production access. Use when launching features that handle customer data, before a SOC 2 / ISO audit, or after any incident or near-miss.
Analyzes insurance claim data end-to-end, covering collection, cleaning, trends, fraud detection, modeling, benchmarking, reporting, segmentation, reserves, catastrophe scenarios, and compliance. Use when an analyst provides claim data or asks for risk insight
Verifies insurance claim documents by extracting data, cross-checking against policy information, flagging inconsistencies and fraud, and drafting notifications. Use when a claims processor needs to digitize documents, compare claims to policies, check authent
Collects, cleans, monitors, analyzes, and reports on insurance claim event data, covering anomaly alerts, predictive models, trend visualization, fraud detection, resource allocation, compliance, automation, sentiment, and pricing. Use when an insurance data a
Assesses insurance claim severity from data collection through scoring, fraud detection, benchmarking, and reporting. Use when a claims manager needs claim data analyzed, documentation reviewed, severity scored, adjuster questions drafted, trends forecast, or
Verifies insurance claim coverage, reviews claim documents, checks regulatory compliance, validates data, flags fraud signals, prepares audits, and drafts compliant communications. Use when processing insurance claims, checking policy coverage, auditing compli
Analyzes insurance claims data to surface cost trends, forecast future costs, flag fraud and compliance issues, and recommend containment strategies. Use when a claims manager needs trend analysis, cost containment plans, vendor negotiation insights, fraud fla
Cleans, analyzes, and interprets insurance claims data for trends, fraud, predictions, costs, segmentation, compliance, benchmarking, and reporting. Use when an analyst needs a claims dataset prepared, analyzed, forecasted, checked for compliance, or turned in
Handles insurance claims data entry, verification, record organization, database updates, trend analysis, reporting, automation, training, compliance, audit trails and system integration. Use when entering or verifying claim data, organizing claim records, sca
Analyzes insurance claims data for trends, fraud flags, cost-saving opportunities, and process improvements, producing reports, models, and triage lists. Use when a claims manager needs claims data cleaned and analyzed, fraud or anomaly detection, predictive f
Prepares evidence packages, policy analyses, correspondence drafts, research memos, negotiation plans, and training materials for insurance claim disputes. Use when a claims manager needs help gathering evidence, interpreting policy language, drafting letters,
Analyzes insurance claims feedback, complaints, and process data to produce reports, drafts, and improvement recommendations. Use when a claims manager needs feedback analysis, chatbot or virtual assistant optimization, personalized claimant communication, com
Analyzes insurance claims customer feedback into sentiment, categories, trends, dashboards, reports, segments, anomalies, surveys, responses, and predictions. Use when a claims manager asks to analyze, categorize, summarize, visualize, segment, flag, survey, r
Turns insurance claims customer feedback into sentiment classifications, themes, trends, satisfaction scores, and improvement actions. Use when consolidating feedback sources, cleaning and deduplicating feedback data, labeling sentiment, finding recurring them
