112-java-maven-plugins
Use when you need to add or configure Maven plugins in your pom.xml — including quality tools (enforcer, surefire, failsafe, jacoco, pitest, spotbugs, pmd), security scanning (OWASP), code formatting (Spotless), version management, container image build (Jib), build information tracking, and benchmarking (JMH) — through a consultative, modular step-by-step approach that only adds what you actually need. This should trigger for requests such as Add Maven plugins in pom.xml; Improve Maven plugins in pom.xml. Part of cursor-rules-java project
What this skill does
# Maven Plugins: pom.xml Configuration Best Practices Configure Maven plugins and profiles in pom.xml using a structured, question-driven process that preserves existing configuration. **This is an interactive SKILL**. **What is covered in this Skill?** Maven plugins: - Maven Compiler - Maven Enforcer - Maven Surefire - Maven Failsafe - HTML test reports (Surefire Report, JXR) - Maven Spotless - Maven Flatten - Maven Versions - Maven Git Commit ID - Maven Jib Maven profiles: - JaCoCo (code coverage) - PiTest (mutation testing) - Security (OWASP dependency check) - Static analysis (SpotBugs, PMD) - SonarQube/SonarCloud - JMH (Java Microbenchmark Harness) - Cyclomatic complexity ## Constraints Before applying plugin recommendations, ensure the project is in a valid state. Use a structured, question-driven process that preserves existing configuration and adds only what the user selects. - **MANDATORY**: Run `./mvnw validate` or `mvn validate` before applying any plugin recommendations - **SAFETY**: If validation fails, stop and ask the user to fix issues—do not proceed until resolved - **SCOPE**: Begin with Step 1 (existing configuration analysis) before any changes. Never remove or replace existing plugins; only add new ones that do not conflict - **BEFORE APPLYING**: Read the reference for detailed plugin configurations, XML templates, and constraints for each step ## When to use this skill - Add Maven plugins in pom.xml - Improve Maven plugins in pom.xml ## Workflow 1. **Validate project before plugin changes** Run `./mvnw validate` or `mvn validate` and stop if validation fails. 2. **Analyze current plugin and profile configuration** Start with existing configuration analysis to identify what is already declared and avoid conflicts or replacement. 3. **Read plugin reference and collect selections** Read `references/112-java-maven-plugins.md`, then use a question-driven flow to select only needed plugins/profiles. 4. **Add non-conflicting plugin configuration** Add selected plugins and profiles without removing existing ones, preserving project structure and compatibility. 5. **Summarize applied plugin setup** Report added plugins/profiles, rationale, and recommended follow-up commands or checks. ## Reference For detailed guidance, examples, and constraints, see [references/112-java-maven-plugins.md](references/112-java-maven-plugins.md).
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.