Agent Skills Hub

design-md

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files to serve as a source of truth for AI-driven UI generation.

paper-plan

Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.

presentation-reviewer

AI-powered PowerPoint presentation reviewer using top-tier consulting standards (McKinsey, BCG) for structure, storytelling, clarity, design, and DSFR compliance.

simplemem-skill

Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.

rag-implementation

Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.

session-intelligence-harvester

Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.

ascii-art

A generative agent skill for creating ASCII art, optimized for rapid, single-pass artistic output without iterative refinement.

youtube-rl-tracker

A reinforcement learning-inspired tracker for YouTube performance, using systematic logging to optimize thumbnails, titles, and hooks.

content-optimizer

On-page SEO optimization toolkit for keyword density analysis, meta tag generation, heading hierarchy validation, and readability scoring.

variance-analysis

Decompose financial variances into drivers with narrative explanations and waterfall analysis. Optimize budget vs. actual reporting, P&L commentary, and forecast reconciliation.

agent-architecture

Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.

codex-cli

Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.