Agent Skills Hub

study-notes-creator

Transforms complex information into structured study notes, summaries, and practice questions for effective learning and information retention.

skill-customizer

Adapt existing skills to your unique workflow, or create new ones for repetitive, time-consuming tasks.

mcp-development

Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.

fuzzing-dictionary

Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.

context-degradation

Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.

solo-video-promo

Generate professional 30-45s promo video plans, scripts, and shot-by-shot storyboards with automated Remotion or Montage-tool configuration.

content-rewriter

Cross-platform content repurposing agent. Adapts a single source for Xiaohongshu, Zhihu, WeChat Official Accounts, and Douyin scripts with platform-native formatting, tone, and constraints.

novelty-check

Verify research idea novelty against recent literature. Use when user says '查新', 'novelty check', or needs to confirm if a method is original.

screenshot-capture

Automated screenshot-to-knowledge workflow for Enzo. Captures, categorizes, extracts content, and logs patterns from screenshots to build a structured reference library.

Skills Guide

A comprehensive framework for creating, structuring, and managing reusable AI Agent Skills to standardize instruction-driven workflows.

workflow-execute-plans

Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.

context-fundamentals

Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.