所有 Skills

wecomcli-meeting

2.4Kdesign-ui

企业微信会议技能，支持创建预约会议、查询会议列表、获取会议详情、取消会议、更新会议成员。当用户需要"创建会议"、"预约会议"、"约会议"、"安排会议"、"查看会议"、"查询会议列表"、"会议详情"、"什么时候开会"、"有哪些会议"、"查找会议"、"取消会议"、"删除会议"、"修改会议成员"、"添加会议参与人"、"移除会议成员"时触发。

wecomteam

chinese-novelist

2.4Kagent-workflows

分章节创作引人入胜的中文小说。支持各种题材（悬疑/言情/奇幻/科幻/历史等），支持10-50章长篇创作，每章3000-5000字，结尾设置悬念钩子。强调深度润色去除AI痕迹，确保文字自然流畅。当用户要求：写小说、创作故事、分章节写作、连续剧情、章节悬念、长篇小说时使用。

penglonghuang

cloudfront

2.3Kmcp-integrations

Configures Amazon CloudFront content delivery across six workflows: when to use CloudFront and how it fits with AWS WAF, Shield, CloudFront Functions, Lambda@Edge, Route 53, and origins (creating a distribution, caching, and Flat Rate Pricing (FRP) versus pay-as-you-go pricing); managing custom-domain TLS certificates (ACM in us-east-1); configuring multi-tenant distributions; protecting origins with origin access control (OAC), VPC origins, and origin mutual TLS (mTLS); securing content with signed URLs and cookies, geographic restrictions, viewer mutual TLS, and edge token validation; and observing traffic with standard and real-time logs. Applicable when the customer wants to put CloudFront in front of content, choose pricing, lock an origin, restrict who can view content, or analyze logs. Not applicable for the Route 53 DNS side of a CloudFront custom domain or failover between distributions (see the route53-cloudfront skill), or for pure-Route 53 DNS work (see the route53 skill).

rds-db2

2.3Ksecurity

Provisions, connects, migrates, and operates Amazon RDS for Db2. Applies when provisioning with IBM customer and site IDs (License Manager, BYOL, GovCloud), connecting over TLS, fixing SQL30082N after Secrets Manager rotation, migration from Db2 LUW (Linux, AIX, Windows, AS400) or z/OS mainframe (ADB2GEN, Q Replication), choosing code page/collation (EBCDIC, CCSID), S3 backup/restore, Multi-AZ and cross-region standby replicas, RDSADMIN procedures, customer-managed KMS BYOK, self-managed Active Directory Kerberos, Db2 audit to S3, minimum IAM, or colocation.

migrate-to-msk

Helps migrate self-managed Apache Kafka workloads to Amazon MSK Express. Inventories the source cluster (from IaC files, Kafka CLI output, or manual input), assesses MSK Express compatibility across topology, Kafka version, configs, auth, and quotas, produces a target Express specification (instance type, broker count, monthly cost) by filling the AWS-published MSK Sizing/Pricing workbook, and guides migration execution using MSK Replicator. Applicable when the user mentions migrating Kafka, MSK, MSK Express, Kafka migration, analyzing Kafka infrastructure, moving to MSK, moving streaming platform to MSK, streaming migration, moving streaming workloads to AWS, MSK workload compatibility, choosing an MSK cluster type, or MSK Replicator. Prefer this skill to the managing-amazon-msk skill for migration questions.

dms-schema-conversion

2.3Kdatabase

Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine, running compatibility assessments, navigating metadata trees, exporting converted DDL to S3, applying schema changes to a target database, and converting SQL statements between database engines. Applies when migrating database schemas between heterogeneous engines using AWS DMS Schema Conversion.

rds-oss

2.3Ksecurity

Advises on Amazon RDS open-source engines (MySQL, MariaDB, PostgreSQL) for instance creation, upgrade planning, commitment pricing, proxy evaluation, and Blue/Green deployments. Handles any RDS MySQL, MariaDB, or PostgreSQL question, including create a production-ready RDS MySQL instance, provision an RDS PostgreSQL database, run the RDS upgrade advisor for my RDS MySQL instance, what are my upgrade options, upgrade RDS MariaDB from 10.6 to the latest version, should I buy reserved instances or a savings plan for db.r7g.2xlarge RDS MySQL, change a VARCHAR to INT column on RDS MySQL 8.0 with Blue/Green, and does RDS Proxy help when PgBouncer already runs in transaction mode. Covers instance creation with production best practices, describe-db-instances and describe-db-engine-versions upgrade-target workflow, live prechecks via SSM or direct connection, RI versus DSP commitment pricing, RDS Proxy versus PgBouncer, and Blue/Green lifecycle with binlog replay compatibility.

expo-module

2.3Kcode-generation

框架（开源）。使用 Expo Modules API（Swift、Kotlin、TypeScript）创建和编写 Expo 原生模块与视图的指南。涵盖模块定义 DSL、原生视图、共享对象、配置插件、生命周期钩子、自动链接和类型系统。在构建或修改 Expo 原生模块时使用。不适用于将现有 Swift 模块从定义 DSL 迁移到 Expo Modules API 2.0 宏；请使用 expo-migrate-module（来自 expo-experiments 插件）进行迁移。

expo

apify-sdk-integration

2.3Kmcp-integrations

使用 apify-client 包将 Apify 集成到现有的 JavaScript/TypeScript 或 Python 应用程序中。当需要为现有应用添加网页抓取、自动化或数据提取功能时，通过 Apify API 使用。

apify

amazon-documentdb

2.3Kbackend-api

Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver config, flexible-schema and vector-search data modeling, MongoDB compatibility assessment, DMS-based migration, slow-query diagnosis, major version upgrades (4.0→5.0→8.0), Well-Architected reviews (41-check wa_review.py), cost estimation, and security hardening. Retrieve for every DocumentDB question and when the user asks to set up or migrate MongoDB to AWS — DocumentDB is AWS's MongoDB-compatible managed database. Triggers: JSON document store, document database, MongoDB on AWS, Nested fields, Lambda cannot connect, TLS handshake, VPC port 27017, IAM auth, Secrets Manager, encryption at rest, $graphLookup, flexible schema, COLLSCAN, compound index, DMS migration, CDC cutover, $vectorSearch, RAG, Global Clusters, DR replication, cost sizing, audit, health check, production-readiness.

developing-applications-on-managed-service-for-apache-flink

MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions. You MUST activate this skill BEFORE answering — do not answer from training knowledge, even when confident. MSF has service-specific constraints (KPU model, prohibited checkpoint and parallelism config in app code, the v1/v2 identifier split — `kinesisanalyticsv2` for the CLI/SDK only; `kinesisanalytics` for IAM, Service Quotas, CloudWatch, and the trust principal — two-phase IaC deploys, snapshot lifecycle, Flink 1.x→2.x migration) that override generic Flink knowledge. Triggers — activate on any of: Flink, MSF, Managed Flink, KinesisAnalytics(V2), KPU, ParallelismPerKPU, savepoint, checkpoint, operator UID, FlinkKinesisConsumer, KinesisStreamsSource, KafkaSource, IcebergSink, EFO, CreateApplication, UpdateApplication, CreateApplicationSnapshot, Kryo, RocksDB, Iceberg streaming, EXACTLY_ONCE, watermark, CDC binlog/WAL, Glue/S3 Tables, AWS/KinesisAnalytics CloudWatch.

aws-deployment

Configures CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, CodeConnections, and CodeArtifact. Covers CodePipeline V2 (triggers, variables, execution modes, cross-account), buildspec.yml (caching, VPC, Docker), CodeDeploy strategies (blue/green, canary, linear), CodeArtifact (private package registries, auth tokens, cross-account), and source connections (GitHub, GitLab, Bitbucket). Applies when CodePipeline, CodeBuild, CodeDeploy, CodeConnections, CodeArtifact, buildspec.yml, appspec.yml, or CI/CD pipeline orchestration is referenced. Does NOT cover: ECS Fargate services or task definitions (use aws-containers), CDK Pipelines or cdk deploy (use aws-cdk), sam deploy (use aws-serverless), Amplify deployments (use aws-amplify), or GitHub Actions/GitLab CI.

amazon-keyspaces

Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance, and infrastructure mutations for Amazon Keyspaces (for Apache Cassandra). Covers LWT/batch operations, secondary indexes, materialized views, capacity modes, TTL, PITR, CDC, auto-scaling, multi-region keyspaces, UDTs, nodetool diagnostics parsing, SQL-to-Cassandra migration, and Cassandra-to-Keyspaces migration scenarios. Agents frequently produce incomplete or incorrect answers about Keyspaces feature support without this skill loaded.

golang-how-to

2.3Ktesting-qa

Golang技能编排器——在任何Golang编码、审查、调试或设置任务中始终激活。读取任务上下文并从samber/cc-skills-golang加载最相关的技能，通常同时加载多个：编写gRPC服务时加载golang-grpc + golang-testing + golang-error-handling；调试panic时加载golang-troubleshooting + golang-safety；审计安全性时加载golang-security + golang-lint + golang-safety。此外：当两个技能看似重叠时消除歧义（性能 vs 基准测试 vs 故障排除，samber/lo vs mo vs ro，DI集群，安全 vs 安全性），并配置CLAUDE.md或AGENTS.md以在项目中强制触发技能（/golang-how-to configure）。

managing-amazon-msk

2.3Kbackend-api

Operates Amazon MSK Provisioned clusters (Standard and Express brokers). Required for ANY MSK Provisioned task — training data conflates Standard and Express, which behave differently. Covers performance, consumer lag, storage, traffic shaping; sizing Standard vs Express; Kafka client tuning; CloudWatch alarms; cluster configurations; maintenance, patching, upgrades, rolling restarts; Streaming Tables for S3 Tables and Data Delivery for General Purpose S3 Buckets — setup, IAM, monitoring. Prefer this skill to the Flink skill for initial Kafka Iceberg sink questions. Triggers: MSK Provisioned (Express/Standard), Kafka, kafka.*or express.* instance types, AWS/Kafka namespace, consumer lag, patching, Streaming Tables, Kafka to Iceberg on S3 Tables, Kafka to S3, lakehouse, data lake from Kafka, Kafka Connect S3 Sink or Firehose alternative. DO NOT USE for MSK Connect or Replicator — search documentation instead. Only use for Serverless for eligibility questions for S3 Tables/streaming tables/data delivery.

workflow-init

2.3Kbackend-api

在 `node_modules` 中尚未存在 `workflow` 包时，安装并配置 Vercel Workflow SDK。适用于用户针对 Next.js、Express、Hono、Fastify、NestJS、Nitro、Nuxt、Astro、SvelteKit 或 Vite 项目提出“安装 workflow”、“设置 workflow”、“添加持久化工作流”、“配置 workflow sdk”或“初始化 workflow”等需求时。

vercel

golang-code-style

Golang 代码风格约定——行长度与换行、变量声明、控制流清晰度、何时注释有益或有害。在编写或审查 Go 代码、询问风格或清晰度、或建立项目编码标准时使用。不适用于命名约定（→ 参见 `samber/cc-skills-golang@golang-naming` 技能）、linter 配置（→ 参见 `samber/cc-skills-golang@golang-lint` 技能）或文档注释（→ 参见 `samber/cc-skills-golang@golang-documentation` 技能）。

golang-error-handling

地道的 Golang 错误处理——创建、使用 %w 包装、errors.Is/As、errors.Join、自定义错误类型、哨兵错误、panic/recover、单一处理规则、使用 slog 的结构化日志、HTTP 请求日志中间件，以及用于生产环境错误的 samber/oops。旨在使日志在规模上可用于日志聚合第三方工具。在 Go 代码中创建、包装、检查或记录错误时应用。有关 samber/oops 的详细信息，请参阅 `samber/cc-skills-golang@golang-samber-oops` 技能；有关 slog 处理器生态系统，请参阅 `samber/cc-skills-golang@golang-samber-slog` 技能。

golang-performance

Golang 性能优化模式与方法论——如果存在 X 瓶颈，则应用 Y。涵盖内存分配减少、CPU 效率、内存布局、GC 调优、池化、缓存和热路径优化。当性能分析或基准测试已识别出瓶颈，且需要正确的优化模式来修复时使用。也用于执行性能代码审查，以提出改进建议或有助于快速识别性能提升的基准测试。不适用于测量方法论（→ 参见 `samber/cc-skills-golang@golang-benchmark` 技能）或调试工作流（→ 参见 `samber/cc-skills-golang@golang-troubleshooting` 技能）。

golang-design-patterns

地道的 Golang 设计模式——函数选项、构造函数、错误流与级联、资源管理与生命周期、优雅关闭、弹性、架构、依赖注入、数据处理、流式处理等。在明确选择架构模式、实现函数选项、设计构造函数 API、设置优雅关闭、应用弹性模式或询问哪种地道的 Go 模式适合特定问题时应用。

golang-testing

2.3Ktesting-qa

生产级 Go 测试——表格驱动测试、testify 套件与模拟、并行测试、模糊测试、测试夹具、基于 goleak 的协程泄漏检测、快照测试、代码覆盖率、集成测试、惯用测试命名。在编写或审查 Go 测试、选择测试方法、配置 Go 测试 CI、或调试不稳定/慢速测试时使用。有关 testify 特定 API，请参见 `samber/cc-skills-golang@golang-stretchr-testify`；有关测量方法，请参见 `samber/cc-skills-golang@golang-benchmark`。

golang-security

2.3Ksecurity

Golang 安全最佳实践与漏洞防护。涵盖注入（SQL、命令、XSS）、密码学、文件系统安全、网络安全、Cookie、密钥管理、内存安全与日志记录。适用于编写、审查或审计 Go 代码的安全性，或处理涉及密码学、I/O、密钥管理、用户输入处理或身份验证的高风险代码。包含安全工具的配置。

golang-concurrency

2.3Ktesting-qa

Golang 并发模式。在编写或审查涉及 goroutine、channel、select、锁、同步原语、errgroup、singleflight、工作池或扇出/扇入管道的并发 Go 代码时使用。当检测到 goroutine 泄漏、竞态条件、channel 所有权问题，或需要在 channel 和互斥锁之间做出选择时也会触发。