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jdiegosierra

GitHub Action to evaluate contributor quality using objective metrics - Combat AI-generated spam PRs and slop code

edwnh

dqmc-advanced is a skill that provides advanced functionality for AI agents, including unequal-time measurements and analytic continuation.

getsentry

Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to create a skill, write a skill, synthesize sources into a skill, improve a skill fro

google-labs-code

Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.

hirokazu-kobayashi-koba-hiro

spec-json-schema is a JSON Schema Validation layer that checks input data structure, type, and constraints, supporting JSON Schema Draft 2020-12.

Ilenburg1993

🤖 Autonomous AI agent for browser automation with Puppeteer - Domain-driven task processing with adaptive validation and real-time monitoring

Smarter-Dev

Skrift is a lightweight async Python CMS featuring Litestar, WordPress-style template resolution, and SQLAlchemy async database access.

HelixDevelopment

Handle npm package installation in non-interactive environments by piping confirmations. Use when installing Node.js packages that require user confirmation prompts.

jasonmichaelbell78-creator

task-next is a dependency-aware task selection skill that displays ready tasks based on dependency resolution, utilizing commands like /task-next and /task-next --all.

Jeduardo622

staging-deployment-operation is a technical process that automates deployment workflows, confirming targets, running validation checks, and summarizing status and blockers.

ElementsAI-Dev

Convex is a development framework that enables developers to build scalable applications using specific skills for detailed guidance, including core development, schema validation, and realtime capabilities.

d-o-hub

TEST - A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.