Use when the user asks for Customer Onboarding Course from supplied source materials. Trigger language: customer onboarding; client onboarding; onboarding training; implementation start. Produce a grounded interactive digital-human course learners can interrupt with voice questions. Do not invent unsupported facts or claim external certification, competence, or real-world completion. With explicit approval, this Skill may install or update the official PersonWise CLI and uses browser OAuth. Other course-creation requests are handled only when the user explicitly asks for them with this Skill.

Use when planning or auditing visual regression coverage: which stories or pages get baselines, which breakpoints, masking vs thresholds, when to add or drop a baseline, and how to choose between Percy, Chromatic, Playwright and Storybook test-runner.

Use for any question or task about reviewing a test automation framework's structure, such as before a big refactor or after years of growth without review, when its written conventions may no longer match the code. Grades eight axes PASS, WARN or FAIL: page objects, base classes, fixtures, helpers, naming, waits and retries, convention drift and CI.

Use when a project uses or is adopting a Workbox service worker and its caching must stay stable across refactors or upgrades: recipe behavior, precache manifest injection, routes, expiration and cacheable-response plugins, workbox-window events, and choosing a cache strategy per route.

Use when a team needs a fast per-deploy gate: a smoke suite of 5-15 critical journeys (login, checkout, payment, main read path) that runs in under 5 minutes as E2E or API tests and blocks the deploy when it fails, with retries for transient failures.

Use for any question or task about testing a trained tabular or NLP model before it ships, including robustness to small input changes, data leakage and fairness, or a pre-merge check after a feature or hyperparameter change. Runs Giskard scan and its test catalog for performance, robustness, fairness, data leakage and ethical issues, and emits suites that pass or fail in CI.

Use when a model's decisions affect people and an auditor or rule (ECOA, GDPR Art. 22, EU AI Act) needs per-group evidence, or someone reports unfair treatment of a group. Computes Fairlearn MetricFrame group metrics, mitigates with ExponentiatedGradient and adds group checks to the gate.

Use for any question or task about checking ML data before or after training, including train-test leakage, data integrity problems, and models far better offline than in production. Runs Deepchecks data integrity, train-test validation and model evaluation suites on tabular, NLP or vision data, reruns them on production samples for drift and gates CI on passed conditions.

Use for any question or task about red-teaming or adversarial testing of an LLM app or chatbot, including prompt injection, system-prompt or data leaks, and harmful output before release. Runs giskard.scan on any model wrapped as giskard.Model to probe hallucination, harmful content, prompt injection, sensitive data disclosure, stereotypes, robustness and sycophancy, with an HTML report.

Use when designing data-quality coverage for a new data product or auditing an existing one: choosing dbt tests vs Great Expectations vs Soda, column vs table-level checks, severity tiers, SLA and freshness conventions, and anti-patterns to avoid.

Use for any question or task about BDD in Python, including quick how-to questions: Behave .feature files, step implementations in features/steps, environment.py hooks (sharing a browser or database between scenarios), tags, reports and CI runs, plus the pytest-bdd alternative. Has Behave layout, hook and anti-pattern notes.

Use whenever a Node.js or TypeScript service uses BullMQ and its queues or workers need tests: producers, worker processors, retries, backoff and repeat jobs, FlowProducer parent-child jobs and QueueEvents, against real Redis (Docker, Testcontainers) or ioredis-mock.

Configure and integrate Vite in Nx monorepos for applications and libraries. Covers vite.config.ts setup, framework plugins, TypeScript path resolution, asset copying, library mode builds, and Vitest integration. Use when: adding Vite to an Nx project, migrating from Webpack, configuring Vitest, fixing tsconfig path resolution, or setting up library mode. Triggers: "add vite", "nx vite", "vite setup", "vite.config.ts", "vitest config", "library mode", "nxViteTsPaths", "copy assets", "vite path aliases", "migrate webpack to vite" Examples: - user: "Add Vite to this Nx app" -> install plugin and configure vite.config.ts - user: "Vitest is failing in Nx" -> fix test config and cache/coverage paths - user: "Path aliases break in Vite" -> add nxViteTsPaths plugin - user: "Set up Vite for my Nx library" -> configure lib mode + dts + externals

Use when the user asks about the "Session Chad Fowler" test recording (2026-05-31) — a single-line placeholder transcript with no substantive content. Useful only to confirm the talk-to-skill pipeline ran end-to-end; do not expect topical answers about Chad Fowler's actual work from this skill.

Nuxt i18n internationalization module for locale routing, lazy-loaded translations, SEO, browser detection, and multi-domain setups. Use when working with @nuxtjs/i18n, locale switching, translated routes, or i18n composables.

Convert documents to Markdown using MarkItDown MCP tools. Use when the user wants to convert PDF, read PPTX, extract text from DOCX, convert document to markdown, or mentions .pdf/.docx/.pptx/.xlsx/.xls/.ppt/.doc files for reading or conversion. Triggers on phrases like "convert to markdown", "read this document", "extract text from", "parse this file" with binary document formats.

Resolves the best-matching Atlassian API endpoints for a given inferred `operation` (what the user wants to do). Use this skill whenever the agent needs to identify which Atlassian REST API endpoint(s) can fulfill a user's intent, especially for Jira issues, projects, boards, sprints, workflows, Confluence pages, spaces, or any cross-product Atlassian operations. Always trigger when the input includes an `operation` field describing an Atlassian action.

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.

Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.