external/antfu-skills/vue-best-practices/SKILL.md
MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.
npx skillsauth add seikaikyo/dash-skills vue-best-practicesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill as an instruction set. Follow the workflow in order unless the user explicitly asks for a different order.
<script setup lang="ts">.vue-options-api-best-practices skill if available.vue-jsx-best-practices skill if available.references/reactivity.mdreferences/sfc.mdreferences/component-data-flow.mdreferences/composables.mdCreate a brief component map before implementation for any non-trivial feature.
components/<feature>/..., composables/use<Feature>.ts) when adding more than one component.These are essential, must-know foundations. Apply all of them in every Vue task using the core references already loaded in section 1.1.
1.1: reactivityref/reactive), derive everything possible with computed.1.1: sfc<script> → <template> → <style>.v-html, list rendering, conditional rendering choices).Split a component when it has more than one clear responsibility (e.g. data orchestration + UI, or multiple independent UI sections).
useXxx()).Apply objective split triggers. Split the component if any condition is true:
Entry/root and route view rule:
1.1: component-data-flowv-model only for true two-way component contracts.defineProps, defineEmits, and InjectionKey as needed.1.1: composablesDo not add these by default. Load the matching reference only when the requirement exists.
<KeepAlive> for stateful view caching -> component-keep-alive<Teleport> for overlays/portals -> component-teleport<Suspense> for async subtree fallback boundaries -> component-suspense<Transition> for enter/leave effects -> transition<TransitionGroup> for animated list mutations -> transition-groupUse these only when there is explicit product or technical need.
Performance work is a post-functionality pass. Do not optimize before core behavior is implemented and verified.
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.