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Found 244 Skills
Manages a JSON registry of project skills, allowing addition of new skills and searching by name or description. Works with skill-creator to automatically register new skills.
Snowflake integration. Manage data, records, and automate workflows. Use when the user wants to interact with Snowflake data.
Automated factory for converting GitHub repositories into specialized AI skills. Use this skill when the user provides a GitHub URL and wants to "package", "wrap", or "create a skill" from it. It automatically fetches repository details, latest commit hashes, and generates a standardized skill structure with enhanced metadata suitable for lifecycle management.
Creates Prowler security checks following SDK architecture patterns. Trigger: When creating or updating a Prowler SDK security check (implementation + metadata) for any provider (AWS, Azure, GCP, K8s, GitHub, etc.).
Incrementally update reverse-engineering docs based on git changes since they were last generated. Reads the commit hash from .stackshift-docs-meta.json, diffs against HEAD, analyzes only the changed files, and surgically updates the affected docs. Saves time and cost compared to full regeneration.
Actian integration. Manage data, records, and automate workflows. Use when the user wants to interact with Actian data.
Perspectium integration. Manage data, records, and automate workflows. Use when the user wants to interact with Perspectium data.
Singular integration. Manage data, records, and automate workflows. Use when the user wants to interact with Singular data.
WaiverForever integration. Manage data, records, and automate workflows. Use when the user wants to interact with WaiverForever data.
Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the `airtable-mcp` CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.
Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.
Expert blueprint for GDSkills skill discovery and indexing system. Enables AI agents to find relevant skills by topic/keyword. Use when building skill libraries OR implementing search functionality. Keywords skill discovery, indexing, search, metadata, skill registry.