Data & AI

Agent workflow for generating highly diverse creative content using Verbalized Sampling (VS) technique. Use when user requests multiple variations, brainstorming, creative ideas, or when standard prompting produces repetitive outputs. Increases diversity by 1.6-2.1× while maintaining quality. Works for: blog posts, social media captions, stories, campaign ideas, product descriptions, taglines, and open-ended creative tasks.

Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.

Guidance for Home Assistant configurations. Use when writing automations, dashboards, or service calls for HA.

Validate Airtable People table schema and data quality before demo day. Pre-flight schema checks (fields, single-select options), post-import data quality validation (duplicates, format validation, completeness scoring). Provides actionable fix suggestions. Production-ready for FirstMark presentation.

创建有效技能的指南。当用户想要创建新技能（或更新现有技能）来扩展Claude在专门知识、工作流程或工具集成方面的能力时，应该使用此技能。

Generates a research-grade Product Requirements Document (PRD) defining problems, goals, scope, constraints, and success criteria. Use when creating or updating a PRD for a product or major initiative.

HashiCorp Vault operations including secrets engines (KV, AWS, Azure, GCP, Database, PKI), auth methods (Token, AppRole, Kubernetes, OIDC, AWS), policies and ACLs, dynamic credentials, secret rotation, Terraform integration, agent sidecar patterns, audit logging, high availability, and disaster recovery. Activate for Vault secret management, credentials automation, and security configuration.

Integrate Replicate AI models with background processing, S3 storage, and credit systems

Master MongoDB replication, replica sets, and sharding for distributed deployments. Learn failover, shard keys, and cluster management. Use when setting up high availability or scaling horizontally.

Convert technical blueprints into actionable work orders and implementation tasks

Guide for creating and validating Claude Code plugin.json files with schema validation tools

审计Registry是否与设计artifacts保持一致，生成同步率报告和遗漏清单。当完成设计后、CONSTRAINT验收前使用，避免Registry不一致导致验收失败。

Schedule recurring background tasks in rwsdk/Cloudflare Workers - cron syntax, setup, local testing, and patterns for cleanup, metrics, billing, and maintenance

Expert Golang senior/lead developer dengan 20+ tahun pengalaman. Gunakan skill ini ketika bekerja dengan Go/Golang projects untuk membuat kode clean, maintainable, scalable, struktur folder production-grade, Docker containerization, debugging, mendeteksi celah crash/bug/race condition, code review standar senior engineer, testing strategies, performance optimization, dan library selection battle-tested. Trigger keywords include golang, go, docker, microservice, api, backend, clean code, refactor, debugging.

Help with creating and managing Claude Code skills. Use when the user asks about creating skills, skill structure, or customizing Claude Code behavior.

Agent SDK development utilities for creating, testing, and managing AI agents with comprehensive tooling and debugging capabilities.

Build and deploy Apify actors for web scraping and automation. Use for serverless scraping, data extraction, browser automation, and API integrations with Python.

Generate architecture documentation, create codebase maps, document code structure. Create ARCHITECTURE.md, generate mermaid diagrams, label modules and processes, write READMEs describing the codebase. NOT for exploring code (use exploring-codebases) or planning changes (use change-planning).

Sales qualification and client discovery. Use when starting a new client engagement, qualifying leads, identifying pain points, or calculating ROI for automation proposals. Generates discovery forms, qualification scores, and ROI estimates.

LMS feature implementations including Browse Gradebook, Course Kanban, Communications, Statistics Module, MAP Analytics, Teacher Schedule, and Attendance System. Use this skill when implementing or modifying these features, understanding their data structures, or debugging feature-specific issues.