Agent Skills Hub

meta

Meta Marketing CLI for Graph API automation, managing ad campaigns, insights reporting, and Instagram publishing with fail-closed security.

go

Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.

dynamic-programming

Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.

frontend-design-review

Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.

openai-agents-sdk

Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.

skill-authoring-workflow

A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.

building-ai-agent-on-cloudflare

Build stateful AI agents on Cloudflare Workers using the Agents SDK. Features real-time WebSockets, persistent state management, scheduled background tasks, and native tool integration for production-ready deployments.

code-quality-standards

A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.

working-with-mise

Manage project dependencies with mise: add, configure, and troubleshoot tool versions, PATH activation, and config files.

aesthetic

Create aesthetically beautiful interfaces using systematic design principles, AI-driven evaluation, and automated inspiration analysis.

metacognition

Enforces structured self-assessment checkpoints to validate approach, mitigate risks, and ensure quality before, during, and after task execution.

prompt-rewriter

Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, and structure, providing actionable improvements, variations for testing, and prompt engineering best practices.