skild
The npm for Agent Skills — Discover, install, manage, and publish AI Agent Skills with ease
Browse data workflow skills for SQL querying, analytics, ETL, and database workflows. Give AI agents access to structured data and pipelines.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
The npm for Agent Skills — Discover, install, manage, and publish AI Agent Skills with ease
Aralify is an interactive programming education platform where learners solve real coding challenges with tiered difficulties (Easy/Medium/Hard), earn XP and achievements, and track their progress across web and mobile.
An AI-powered consultancy system that replicates the breadth and depth of Big 4 firms (Deloitte, PwC, EY, KPMG) using Claude Code's agents and skills framework. A Managing Director orchestrator routes engagements to 9 practice-area partners, each equipped with domain-specific skills delivering board-room-quality deliverables.
A collection of Claude Code skills that replicate GitHub MCP server functionality using gh CLI
The modular and type-safe form library for any framework
A world-class collection of Claude Code utilities: autonomous skills, expert agents, slash commands, and prompts that supercharge your development workflow
Provider-agnostic operations for agentic resources. ARK codifies patterns and practices developed across dozens of agentic application projects.
Code for sentiment analysis and topic modeling of public perceptions toward sidewalk delivery robots using YouTube comments (TRR 2025).
AI-powered Software Requirements Analysis (SRA) system that evaluates requirement quality, detects ambiguities, and suggests structured improvements for more reliable and complete SRS documents.
The Open Platform for building Data Platforms. Ship faster. Stay compliant. Scale to Data Mesh.
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.
A .codex SKILL for issue-driven ML/AI arXiv review papers: scaffold LaTeX + verify BibTeX citations end-to-end.