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Found 1,568 Skills
Apply Pragmatic Programmer (Hunt & Thomas, 2019 edition) advice to software tasks and code reviews; use when the user asks to apply pragmatic tips, asks how to approach a task, or when performing a code review to map relevant chapters/tips to the current context.
AI-first security scanning with Medusa. 3,000+ detection patterns covering AI/ML, agents, MCP, RAG, prompt injection, and traditional SAST vulnerabilities. Wraps Medusa CLI with SARIF/JSON parsing, structured finding output, OWASP mapping, and remediation guidance.
Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, technical standards, or any document collection.
Development guide for @rytass/storages base package (儲存基底套件開發指南). Use when creating new storage adapters (新增儲存 adapter), understanding base interfaces, or extending storage functionality. Covers StorageInterface, Storage class, file converters (檔案轉換器), hash algorithms (雜湊演算法), and implementation patterns.
Homelab infrastructure management with Terragrunt, OpenTofu, and Terraform patterns. Use when: (1) Planning or applying infrastructure changes to dev/integration/live clusters, (2) Adding/modifying machines in inventory.hcl, (3) Creating or updating units and stacks, (4) Working with feature flags, (5) Running validation (fmt, validate, test, plan), (6) Understanding the units→stacks→modules architecture, (7) Working with HCL configuration files, (8) Bare-metal Kubernetes provisioning or Talos configuration. Triggers: "terragrunt", "terraform", "opentofu", "tofu", "infrastructure code", "IaC", "inventory.hcl", "networking.hcl", "HCL files", "add machine", "add node", "cluster provisioning", "bare metal", "talos config", "task tg:", "infrastructure plan", "infrastructure apply", "stacks", "units", "modules architecture" Always use task commands (task tg:*) instead of running terragrunt directly.
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.
Implement drag and drop using @atlaskit/pragmatic-drag-and-drop. Use when implementing sortable lists, reorderable items, kanban boards, or any drag-drop interactions. Covers draggable setup, drop targets, edge detection, drag previews, and critical state management patterns to avoid performance issues.
Verify that a pull request or local changes fully implement the requirements described in a linked GitHub issue. Use when asked to "verify PR 123", "verify my changes", "check PR #123 coverage", "verify PR #123 against issue #42", "check local changes", or "do my changes cover issue 42". Analyzes the diff against issue requirements and reports either missing items or confirms 100% coverage.
Reading and writing data with Pandas from/to cloud storage (S3, GCS, Azure) using fsspec and PyArrow filesystems.
Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets
Comprehensive toolkit for validating, linting, testing, and automating Terragrunt configurations, HCL files, and Stacks. Use this skill when working with Terragrunt files (.hcl, terragrunt.hcl, terragrunt.stack.hcl), validating infrastructure-as-code, debugging Terragrunt configurations, performing dry-run testing with terragrunt plan, working with Terragrunt Stacks, or working with custom providers and modules.
Automated cross-platform arbitrage detection and monitoring