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Found 7,028 Skills
Generate Zod-based environment variable management code from .env.example files. Use when you need to create type-safe env management, standardize env handling, or generate env schemas.
Build web components using Custom Elements v1 API with Declarative Shadow DOM, attribute-driven state, handleEvent pattern, and zero DOM selection. Use when creating custom elements, extending built-in HTML elements, or implementing component-based architecture. NO querySelector, NO innerHTML, NO external libraries - pure web platform APIs only.
Create PLAN.md file with phase-based breakdown for issues. Use after creating an issue with /issue to break down work into phases.
Develop custom Home Assistant integrations, config flows, entities, and platforms. Use when working with manifest.json, custom components, config_flow.py, entity base classes, or device registry. Activates on keywords: integration, custom component, config flow, entity, platform, manifest.json, device_info.
Expert patterns for Godot AutoLoad (singleton) architecture including global state management, scene transitions, signal-based communication, dependency injection, autoload initialization order, and anti-patterns to avoid. Use for game managers, save systems, audio controllers, or cross-scene resources. Trigger keywords: AutoLoad, singleton, GameManager, SceneTransitioner, SaveManager, global_state, autoload_order, signal_bus, dependency_injection.
Scan code for security vulnerabilities including OWASP Top 10, secrets, and misconfigurations. Use when you need comprehensive security analysis of a codebase.
Use when asked to "shape up", "run a shaping session", "set an appetite", "scope a project without estimates", "betting table", or "ship in fixed cycles". Helps teams escape estimate-driven development and Scrum fatigue. The Shape Up method (created by Ryan Singer at Basecamp/37signals) uses fixed time boxes, variable scope, and collaborative shaping to ship meaningful work predictably.
Writing conventions for scannable, token-efficient skills and prompts. Use when creating or reviewing SKILL.md files, AGENTS.md files, or any markdown-based agent instruction documents.
Use when "CrewAI", "multi-agent systems", "agent orchestration", "AI crews", or asking about "autonomous agents", "agent collaboration", "role-based agents", "agent workflows", "AI team coordination"
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration.
Help developers write Services in accordance with project guidelines, following the best practices of the tRPC + Service + DAO architecture. Provide guidance on Service structure, dependency injection, error handling, code examples, templates, boilerplate code generation, and best practice validation. Use this when creating or refactoring Service files in the codebase.
Document chunking implementations and benchmarking tools for RAG pipelines including fixed-size, semantic, recursive, and sentence-based strategies. Use when implementing document processing, optimizing chunk sizes, comparing chunking approaches, benchmarking retrieval performance, or when user mentions chunking, text splitting, document segmentation, RAG optimization, or chunk evaluation.