Skill router for vite-browser capability packs. Use this whenever users ask to debug a Vite app, inspect runtime behavior, investigate recent hot-update breakage, trace network regressions, or run pre-release verification. Route to core-debug, runtime-diagnostics, network-regression, or release-smoke based on the…
Core troubleshooting workflow for Vue/React/Svelte Vite apps using vite-browser. Use this for first-pass debugging when the user reports broken UI behavior, wrong component state, router/store confusion, or a vague "page is broken" symptom and the dominant failure mode is not yet known.
Focused workflow for API/data regressions in Vite apps using vite-browser network inspection. Make sure to use this skill whenever users mention any of: wrong data, missing data, empty data, empty response, incorrect payload, API error, fetch failed, request failed, 401, 403, 404, 500, 4xx, 5xx, status code, CORS…
Pre-release smoke verification workflow for Vite apps with vite-browser. Use this whenever users ask for final checks before merge/release, including core path validation, runtime sanity, HMR diagnosis, and evidence-based sign-off.
Deep Vite runtime diagnostics for recent hot-update regressions, HMR instability, unexpected full reloads, module churn, stack trace mapping, and "which recent update caused this" analysis. Make sure to use this skill whenever users mention any of: HMR, hot reload, hot update, full reload, page refresh, unexpected…
This skill analyzes user transaction history (CSV/Excel) and psychological questionnaire results to generate a personalized MBTI investment personality profile. It combines quantitative metrics (Sharpe ratio, Win rate) with qualitative traits (MBTI dimensions) to provide deep insights.
A skill that builds a structured profile of a trader using an MBTI-based quantitative trading model. MBTI is a personality-typing system, and quantitative trading uses rules or data-based models to make trading decisions.
A skill that creates an MBTI questionnaire for quantitative traders and outputs structured questions for a frontend to display. MBTI is a personality-typing questionnaire, while quantitative trading uses rules and data to make trading decisions.