Agent Skills Hub

skill-customizer

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

hf-mcp

Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.

skill-memory

A Git-backed memory store for agent skills. Download, version, edit, and share custom agent behaviors and procedural knowledge using a CLI.

crawl

Crawl websites to extract content as clean markdown files. Ideal for documentation, research, and offline knowledge management.

literature-review

Conduct systematic literature reviews across PubMed, arXiv, and Semantic Scholar with AI-driven synthesis, verified citations, and mandatory schematic visualization.

ReasoningBank with AgentDB

Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.

paper-fetcher

Automated academic paper retriever using Sci-Hub. Downloads PDFs via DOI, saves to research/papers/ with clean filenames, and supports batch fetching.

docs-as-marketing

Transform technical documentation into a growth engine. Learn to write docs that improve SEO, reduce time-to-value, and convert developers by mastering information architecture and developer-focused writing.

papi

Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.

create-skill

Standardizes the process of creating and maintaining reusable Claude Code skills for packaging developer workflows and domain expertise.

ai-collaboration-standards

Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.

skill-reinforcement

An automated meta-learning skill that improves agent workflows by capturing patterns, failures, and shortcuts after each task execution.