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Found 1,342 Skills
Jackson JSON 序列化技能。覆盖日期格式配置(非ISO-8601)、Null序列化规则(数组→[]/字符串→""/数字→null)、@JsonView分层、ObjectMapper单例规则、TypeReference泛型反序列化、@JsonProperty/@JsonFormat/@JsonIgnore注解原则、与Spring Boot集成。 当用户处理JSON序列化/反序列化、配置ObjectMapper、解决日期格式或null处理问题时使用。
Sa-Token microservice authentication skill. Covers the Same-Token mechanism for isolating internal services from the public network, centralized authentication through SpringCloud Gateway (Reactor reactive), authentication for internal RPC calls via Feign/Dubbo/gRPC, distributed session solutions (Redis Session center/JWT stateless), Reactor/WebFlux framework integration, and SpringBoot 3/4 dependency compatibility. Use this skill when users need inter-service authentication in a microservice architecture, gateway Token forwarding and validation, isolation of internal services from the public network, or distributed session sharing. For basic login authentication, use the `sa-token` skill first.
Review dependency-license reports, reduce false positives, and produce evidence-backed compliance triage when commercial use, source-disclosure obligations, multi-license expressions, or exact-coordinate exceptions must be assessed. Use for engineering compliance review; do not present the result as legal advice.
Redis + Redisson 缓存与分布式锁技能。覆盖缓存Key命名规范、过期时间设置原则、RedisTemplate序列化选择(JSON vs JDK vs String)、Redisson分布式锁三大模式(watchDog/tryLock 有leaseTime/无leaseTime 决策)、缓存穿透(布隆/空值缓存)/击穿(互斥锁)/雪崩(随机TTL)防护、Caffeine vs Redis选择决策。 纠正 LLM：不设过期时间、StringRedisTemplate和RedisTemplate混用、Redisson锁不 try-finally unlock、看门狗在指定 leaseTime 时不生效。
XXL-JOB 最佳实践模式。基于 hiwepy/xxljob-spring-boot-starter 定制封装，覆盖 @XxlJobCron 注解替代原生 @XxlJob(代码即配置/cron写在代码里/启动时自动注册到admin)、XxlJobTemplate 编程式任务管理(CRUD/启停/触发/session自动续期)、执行器自动配置(Unirest SSL/端口兜底/Nacos适配)、Micrometer指标集成、v2/v3双版本兼容。 纠正 LLM 误用：用 @Scheduled 替代分布式调度、不知道 XxlJobTemplate 的编程式管理、不知道 @XxlJobCron 的 selfStarting 自动注册模式。
Seata distributed transaction skill. Covers a decision tree for selecting among the AT/TCC/SAGA/XA modes, the mandatory undo_log table for AT mode, useTCCFence in TCC mode for handling idempotency, suspension, and empty rollback, SAGA state machines for long-running workflows, global transaction timeout configuration (@GlobalTransactional timeoutMills), and read isolation enhancement (@GlobalLock + FOR UPDATE). Corrects common LLM mistakes: not knowing which of AT/TCC/SAGA to choose, not creating the undo_log table, making TCC Confirm non-idempotent, and ignoring watchdog handling.
Sa-Token OAuth2.0 server-side skill. Covers four grant modes: Authorization Code, Implicit, Password, and Client Credentials. Includes complete OAuth2-Server setup, the SaOAuth2DataLoader data loader, custom and tiered Scope permissions, the OIDC protocol, OpenId/UnionId, custom grant_type, custom login and authorization pages, annotation-based Access-Token validation, login session interoperability, Scope level control, and custom API routes. Use this skill when building an OAuth2.0 authentication server, developing an open platform, or implementing third-party application authorization. For basic login authentication, use the sa-token skill first.
Sa-Token integration extension skill. Covers JWT integration (a comparison table of the Simple, Mixin, and Stateless modes), Redis persistence (JDK serialization and JSON serialization), standalone Redis through Alone-Redis (isolation between authentication and business caches), AOP annotation-based authorization (using annotations at the Service layer), SpEL expression annotations (@SaCheckEL), Quick-Login rapid login (zero-code login page), JSON serialization extensions (Jackson/Fastjson/Fastjson2/Snack3), template engine integrations (Thymeleaf/Freemarker tag dialects), and RPC integrations (context propagation across Dubbo/Dubbo3/gRPC). Use this skill when users need to integrate JWT for stateless authentication, configure Redis distributed sessions, isolate caches, implement Service-layer annotation-based authorization, or quickly build a login page. For basic login authentication, use the sa-token skill first.
Caffeine JVM 本地缓存技能。覆盖本地缓存 vs 远程缓存(Redis)选择决策树、expireAfterWrite vs expireAfterAccess vs refreshAfterWrite 三种过期策略对比与组合规则(refresh < expire)、CacheLoader加载与reload异步刷新模式、Spring Cache @Cacheable集成、maximumSize驱逐策略、recordStats缓存统计。 纠正 LLM：用 ConcurrentHashMap+手动过期、所有缓存走Redis、refreshAfterWrite > expireAfterWrite导致永远不刷新、CacheLoader返回null导致缓存穿透。
MyBatis-Plus 增强 ORM 技能。覆盖 LambdaQueryWrapper vs QueryWrapper选择(始终Lambda)、分页插件(PaginationInnerInterceptor)配置、乐观锁(@Version + OptimisticLockerInnerInterceptor)、逻辑删除(@TableLogic 全局/局部配置)、自动填充(@TableField fill + MetaObjectHandler)、ActiveRecord vs Mapper模式选择、防全表更新(BlockAttackInnerInterceptor)、通用PageQuery抽取。 当用户使用 MyBatis-Plus 进行数据库操作、配置分页乐观锁、选择查询方式时使用。 与 mybatis 技能互补：mybatis 侧重XML/ResultMap/SQL写法，mybatis-plus 侧重增强功能。
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots. Capabilities: web scraping, form filling, clicking, typing, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet