zireael-abi-formats
Deterministic terminal UI core engine in C (FFI/ABI backend for Zireael-UI).
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Deterministic terminal UI core engine in C (FFI/ABI backend for Zireael-UI).
Lightweight, zero-dependency toolkit for building `isFoo` style type guards in TypeScript. Runtime-safe 🛡️, composable 🧩, and ergonomic ✨. npm -> https://www.npmjs.com/package/is-kit
Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.
Applies Anthropics official brand colors and typography to any sort of artifact that may benefit from having Anthropics look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Take a list of projects and their related documentation, and organize them into the SRED format for submission.
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to creat
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \the xlsx in my downloads\) — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
Documentation is a set of practices and guidelines for writing clear, concise, and precise technical documentation with examples, diagrams, and screenshots.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
creating-pull-request is a skill that automates the process of creating pull requests using git commands and following specific conventions
agent-harness-construction is a developer skill for designing and optimizing AI agent action spaces, tool definitions, and observation formatting. It focuses on core constraints like action space quality and recovery quality to achieve higher completion rates for agents like Claude.