CLAWS-UIS：人类示教的计算机操控智能体，支持 Windows 和 macOS。适用场景：(1) 录制人类操作演示（屏幕 + 鼠标 + 键盘），(2) 解析录制内容为语义化操作轨迹，(3) 基于学习到的轨迹执行 GUI 自动化任务，(4) 将工作流编译为可复用的混合 RPA+Agent 脚本，(5) 回放编译脚本并支持参数替换，(6) 配置双模型…
AI 3D model generation agent. Generates text-to-3D and image-to-3D code (Python/JS/OpenSCAD) using Meshy, Tripo, Hunyuan3D, Rodin, Sloyd, and Stability APIs.
Choose and implement Clay integration architecture for different scales and use cases. Use when designing new Clay integrations, comparing direct vs queue-based vs event-driven,…
Configure CI/CD pipelines for Clay integrations with automated testing and validation. Use when setting up automated tests for Clay webhook handlers, validating enrichment data…
Diagnose and fix the most common Clay errors and integration issues. Use when encountering Clay errors, debugging failed enrichments, or troubleshooting webhook delivery problems.
Diagnose and fix Clay common errors and exceptions. Use when encountering Clay errors, debugging failed requests, or troubleshooting integration issues.
Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic informat — from…
Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic informat — from…
Deploy Clay-powered applications to Vercel, Cloud Run, or Docker with proper secrets management. Use when deploying Clay webhook receivers, enrichment pipelines, or CRM sync…
Send your first record to Clay and get enriched data back. Use when starting a new Clay integration, testing webhook setup, or verifying that enrichment columns are working.
Create a minimal working Clay example. Use when starting a new Clay integration, testing your setup, or learning basic Clay API patterns.
Scale Clay enrichment pipelines for high-volume processing (10K-100K+ leads/month). Use when planning capacity for large enrichment runs, optimizing batch processing, or designing…
Set up a local development loop for building and testing Clay integrations. Use when iterating on Clay webhook handlers, testing enrichment pipelines, or building scripts that…
Handle Clay rate limits, webhook throttling, and credit pacing strategies. Use when hitting 429 errors, managing webhook submission rates, or optimizing throughput within Clay's…
Implement Clay rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for C — from…
Implement Clay rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for C — from…
Design production Clay enrichment pipelines with table schemas, waterfall patterns, and CRM sync. Use when architecting new Clay integrations, reviewing data flow design, or…
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for D — from…
Reclaims SSD disk space consumed by WSL2/Docker. Use when user reports disk space issues, Docker build failures due to space, or slow WSL performance.
TypeScript type best practices - proper typing patterns, avoiding type complexity, meaningful type annotations
Safe removal of unnecessary variables during code review and refactoring. Use when simplifying code, inlining temporary or single-use variables, or removing redundant aliases,…
Configure Clerk CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Clerk tests into your build…
Clerk authentication integration for Astro/Next.js. Use when implementing authentication, handling Clerk middleware, testing with Playwright, or debugging auth issues.
Collect comprehensive debug information for Clerk issues. Use when troubleshooting complex problems, preparing support tickets, or diagnosing intermittent issues.
Configure Clerk for deployment on various platforms. Use when deploying to Vercel, Netlify, Railway, or other platforms, or when setting up production environment.
Configure Clerk for deployment on various platforms. Use when deploying to Vercel, Netlify, Railway, or other platforms, or when setting up production environment.
Create your first authenticated request with Clerk. Use when making initial API calls, testing authentication, or verifying Clerk integration works correctly.
Create your first authenticated request with Clerk. Use when making initial API calls, testing authentication, or verifying Clerk integration works correctly.
Set up local development workflow with Clerk. Use when configuring development environment, testing auth locally, or setting up hot reload with Clerk.
Migrate from other authentication providers to Clerk. Use when migrating from Auth0, Firebase, Supabase Auth, NextAuth, or custom authentication solutions.
Implement monitoring, logging, and observability for Clerk authentication. Use when setting up monitoring, debugging auth issues in production, or implementing audit logging.
Production readiness checklist for Clerk deployment. Use when preparing to deploy, reviewing production configuration, or auditing Clerk implementation before launch.
Understand and manage Clerk rate limits and quotas. Use when hitting rate limits, optimizing API usage, or planning for high-traffic scenarios.
Understand and manage Clerk rate limits and quotas. Use when hitting rate limits, optimizing API usage, or planning for high-traffic scenarios.
Reference architecture patterns for Clerk authentication. Use when designing application architecture, planning auth flows, or implementing enterprise-grade authentication.
Automates Clerk JWT token generation, validation, and export for FastAPI integration tests. Use when an agent must refresh tokens, verify JWT templates, or unblock authentication…
Receive and verify Clerk webhooks. Use when setting up Clerk webhook handlers, debugging signature verification, or handling user events like user.created, user.updated,…
Best practices for building CLI applications with Click including commands, groups, options, and testing.
中文优先：用于点击路径审计相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually…
Click framework examples and templates - decorators, nested commands, parameter validation. Use when building Python CLI with Click, implementing command groups, adding CLI…
Design click/first-click tests to evaluate navigation and information findability.
MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs.
Use when syncing data FROM relational databases (PostgreSQL, MySQL, MongoDB) TO ClickHouse. Covers change data capture using Debezium, Airbyte, or custom triggers.
Run ClickHouse integration tests in CI with GitHub Actions and Docker containers. Use when setting up automated testing against a real ClickHouse instance, configuring CI…
Diagnose and fix the top 15 ClickHouse errors — query failures, insert problems, memory limits, and merge issues.
Collect ClickHouse diagnostic data — system tables, query logs, merge status, and server metrics for support tickets and troubleshooting.
Deploy ClickHouse-backed applications to Vercel, Fly.io, and Cloud Run with connection pooling, secrets, and health checks.
Create your first ClickHouse table, insert data, and run analytical queries. Use when starting a new ClickHouse project, learning MergeTree basics, or testing your ClickHouse…
Run ClickHouse locally with Docker, configure test fixtures, and iterate fast. Use when setting up a local ClickHouse dev environment, writing integration tests, or running…
Configure ClickHouse across dev, staging, and production with environment-specific settings, secrets management, and infrastructure-as-code patterns.
Monitor ClickHouse with Prometheus metrics, Grafana dashboards, system table queries, and alerting for query performance, merge health, and resource usage.
Production readiness checklist for ClickHouse — server tuning, backup, monitoring, and deployment verification.
Configure ClickHouse query concurrency, memory quotas, and connection limits. Use when hitting "too many simultaneous queries", managing concurrent users, or tuning server-side…
Production reference architecture for ClickHouse-backed applications — project layout, data flow, multi-tenant patterns, and operational topology.
Use when ingesting continuous data streams from Kafka, RabbitMQ, or Kinesis into ClickHouse. Covers backpressure handling, exactly-once semantics, stream processing patterns, and…
Set up CI/CD pipelines for ClickUp API integrations with GitHub Actions, automated testing, and task status sync.
Diagnose and fix ClickUp API v2 errors by HTTP status and error code. Use when encountering ClickUp API errors, debugging failed requests, or troubleshooting OAUTH_* error codes,…
Optimize ClickUp API usage costs through plan selection, request reduction, caching, and usage monitoring.
Collect ClickUp API diagnostic information for troubleshooting and support. Use when encountering persistent issues, preparing support tickets, or collecting API connectivity and…
Deploy ClickUp API integrations to Vercel, Fly.io, and Cloud Run with secure secrets management and health checks.