Afrexai Meeting Mastery
Meeting Mastery — AI Meeting Prep, Notes & Follow Up Engine
Discover Document skills, compare source repositories and read the instructions for each workflow.
Meeting Mastery — AI Meeting Prep, Notes & Follow Up Engine
Pharmacy Compliance Agent
Post Mortem & Incident Review Framework
Incident Postmortem Generator
Procurement Manager
Procurement Operations Agent
Project Manager — Complete Project Delivery System
Prompt Engineering Mastery
RAG Engineering — Complete Retrieval Augmented Generation System
Risk Assessment Framework
SOC 2 Compliance Accelerator
SOP Generator
Spreadsheet Engineering — AfrexAI
Technical Debt Audit
Web Performance Engine
Workplace Safety & OSHA Compliance
Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, and memory hygiene. No APIs, no databases, no external...
Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-management for task tracking.
Enables the agent to review its own execution logs and deliver a professional, quantified daily work report. Defaults to 21:00 America/Los_Angeles and supports user-defined schedule plus on-demand reporting.
MinerU document parsing CLI with layout.json post-processing and S3 integration. Parse PDF/Word/PPT/images to structured Markdown with formula, table, and code extraction.
Master the art of spawning and managing sub-agents. Write prompts that actually work, track running agents, and learn from every outcome. Part of the Hal Stack 🦞
Agent + human friendly guide to Agent Republic. One credentials file, one helper script: register, verify, see your status, manage bots, list elections, vote, post to the forum, and monitor onboarding health wi...
Docs-only guide to Agent Republic. No bundled scripts, just clear workflows and HTTP examples so agents can register, manage bots, and monitor onboarding health after asking their human for approval.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.