validate-historical
validate-historical is a skill that audits historical data integrity across a date range, identifying gaps and providing specific remediation steps to resolve cascade effects.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
validate-historical is a skill that audits historical data integrity across a date range, identifying gaps and providing specific remediation steps to resolve cascade effects.
hugging-face-dataset-creator is a skill designed to manage datasets on the Hugging Face Hub, providing capabilities for dataset creation, editing, and configuration management.
voice-update is a skill that provides spoken audio feedback using pocket-tts, allowing developers to give concise summaries or status updates through audio.
Code-quality-foundations is a set of principles and guidelines for writing high-quality code that achieves four key goals: it works, it keeps working, it's adaptable, and it meets requirements.
startup-business-analyst-market-opportunity is a skill that provides market opportunity analysis for startups, using both bottom-up and top-down methodologies to calculate TAM, SAM, and SOM.
Bartender is a role-based skill that provides methods and behaviors for generic bartending capabilities, including drink pouring and tab management.
update-skill is an AI agent capability that handles user requests to update SKILL.md or AGENTS.md files. It ensures instructions remain short, clear, and integrated by reading entire files before making logical, non-duplicative edits.
database-schema-design is a set of rules and guidelines for designing and developing relational database schemas, focusing on PostgreSQL and RDBMS systems.
Coding-standards is a set of universal principles and best practices for writing clean, readable, and maintainable code, emphasizing simplicity, reusability, and self-documentation.
Experimental RuboCop rewrite in Rust
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TML is a programming language designed specifically for Large Language Models (LLMs). It eliminates parsing ambiguities, provides stable IDs for refactoring, and uses formal contracts to make code generation and analysis deterministic.