translate-locales
translate-locales is a skill that automates the localization process by regenerating English locales and translating content into zh, tc, ko, and other languages.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
translate-locales is a skill that automates the localization process by regenerating English locales and translating content into zh, tc, ko, and other languages.
wcag-audit-patterns is a technical skill that provides a comprehensive guide to auditing web content against WCAG 2.2 guidelines with actionable remediation strategies.
quality-check is a code analysis AI agent skill that automates quality checks on completion, verifying 0 errors and 0 warnings using cargo fix, cargo fmt, and cargo clippy.
debug is a systematic bug investigation skill that helps developers reproduce and resolve issues in a structured and efficient manner.
mesh-builder is a configurable agent mesh skill for building reproducible AI behavior with steering and guiderails, following a core philosophy of minimal complexity.
cursor-remarkable-upload is a technical skill that facilitates the conversion of Markdown files to PDF and uploads them to reMarkable devices using tools like rmapi, pandoc, and xelatex.
data-governance-enrichment is a technique for enhancing CRM data accuracy using automated tools and a hierarchical approach, prioritizing sources by accuracy and cost.
Scaffold is a foundational AI agent skill that generates and validates project architecture, creating a reusable foundation for development.
ww-build-game is a skill that allows developers to create playable game views inside WibWob-DOS's Turbo Vision TUI, using agentic-ui and AI technologies.
synthesize-inbox-entry is a skill that converts raw text into a structured inbox entry using a predefined template.
Release is a skill that enables MCP server integration with OmniFocus projects, automating release workflows using GitHub API and bash commands.
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.