Agent Skills Hub

planning-with-files

Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.

global-intel-summary

Automated global intelligence aggregator for market, geopolitical, and AI news. Features RSS feed integration, real-time alert systems for critical events, and structured report generation with intelligence inference.

app-builder

Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.

hive-mind-advanced

Queen-led multi-agent orchestration for Claude Code, featuring Byzantine consensus, persistent collective memory, and adaptive task distribution for complex software projects.

ensue-memory

Augmented cognition layer that connects conversations to a persistent knowledge tree, enabling long-term memory, recall, and contextual reasoning across projects.

subagent-driven-development

Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.

massgen-config-creator

Guide for creating properly structured YAML configuration files for MassGen. Use this when creating new configs for examples, case studies, testing, or feature demonstrations.

steve

Automate macOS applications using the Accessibility API for deterministic UI control, automated testing, and agent-based scripting.

agent-sdk

Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.

notion-knowledge-capture

Transforms chat conversations into structured Notion documentation, saving insights, decisions, and knowledge to your workspace with proper organization.

skr

A command-line tool for managing, building, and deploying Agent Skills as OCI artifacts within the Agent Skills ecosystem.

skill-reinforcement

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