sindri-extension-guide
Guide for creating and managing Sindri declarative YAML extensions, including capabilities for project-init, auth, lifecycle hooks, and MCP integration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
321 skills found
Guide for creating and managing Sindri declarative YAML extensions, including capabilities for project-init, auth, lifecycle hooks, and MCP integration.
Search, browse, and download podcast episodes from Apple Podcasts via the iTunes Search API. Ideal for archiving audio content, batch downloading, and retrieving rich metadata for research or personal media libraries.
Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.
Systematic Kubernetes troubleshooting, pod diagnostics, cluster health monitoring, and incident response playbooks.
Best practices and code patterns for ManimGL (3Blue1Brown's OpenGL animation engine). Provides templates, rules for 3D/interactive scenes, camera control, and LaTeX math visualization for technical creators.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.
Automatically organize your SpecStory AI coding session history into a structured YYYY/MM directory hierarchy to improve file management and archiving.
Generates data cleaning pipelines for pandas/polars/PySpark, handling missing values, duplicates, outliers, type conversions, and validation.
Generate high-quality, minimalistic, and geometric SVG logos using Python scripts. Ideal for icons, branding, and visual assets built with geometric primitives.
Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.
Data Analysis Specialist for EDA, statistical modeling, SQL queries, and Python-based visualization. Turn raw datasets into actionable insights through rigorous quantitative methods.