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Found 144 Skills
Organizes Ansible inventory files, manages host groups, and configures dynamic inventory. Use when organizing Ansible inventory, managing host groups, or setting up dynamic inventory sources.
Enables autonomous pattern recognition, storage, and retrieval at project level with self-learning capabilities for continuous improvement
Team-orchestrated implement → verify → fix → archive cycle
Identify underspecified areas in the current feature spec by asking up
Discovers user intent and generates a structured, step-by-step customization plan that orchestrates other skills. Always activate at the start of every conversation, when all tasks in a plan are completed, or when the user asks to modify the current plan. Handles intent discovery, plan generation, plan iteration, and mid-execution plan alterations. When in doubt, use this skill.
Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/) and resolves project naming.
Get advice on app improvements and functionality from a Wasp expert. Takes optional arguments for more specific requests e.g. `/expert-advice how can I improve account management?`.
Choose optimal Next.js rendering strategy (SSR, SSG, ISR, CSR) based on content type, update frequency, and performance requirements. Use when deciding how to render pages, optimizing performance, or implementing data fetching. Trigger words include "rendering", "SSR", "SSG", "ISR", "static", "server-side".
Implement data quality checks, validation rules, and monitoring. Use when ensuring data quality, validating data pipelines, or implementing data governance.
Perform structured code review and kanban transitions for completed task
Configure Python package metadata, setup.py, and pyproject.toml for distribution using UV or setuptools. Use when setting up Python packages, configuring build systems, or preparing projects for PyPI publication.
Build and deploy custom StackOne connectors using the CLI and Connector Engine. Use when user asks to "build a custom connector", "deploy my connector", "use the StackOne AI builder", "set up CI/CD for connectors", "test my connector locally", or "install the StackOne CLI". Covers the full connector development workflow from init through deployment. Do NOT use for using existing connectors (use stackone-connectors) or building AI agents (use stackone-agents).