Agent Skills Hub

wiki-architect

Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.

zed-editor

Provides comprehensive knowledge on Zed Editor and the Agent Client Protocol (ACP), including AI agent integration, performance tuning, and configuration for professional development workflows.

mcp-server

Guide for integrating and managing custom Model Context Protocol (MCP) servers within the Cursor IDE environment.

ring:documentation-structure

Standards and patterns for professional documentation architecture, covering content hierarchy, scannable page design, navigation strategies, and quality checklists for AI-driven technical writing.

using-sdlc-engineering

CMMI-based SDLC router providing process guidance, requirements management, architectural decision support, quality assurance, and governance for GitHub and Azure DevOps workflows.

submit-work

Submit completed tasks on OpenAnt via CLI. Handles text reports, file uploads (images, docs, code), and external proof links to ensure verified deliverables.

rivetkit-client-javascript

Official RivetKit JavaScript client guidance for browser, Node.js, and Bun. Manage Rivet Actor connections, state, RPC actions, and events.

test-design-techniques

Expert systematic test design using BVA, equivalence partitioning, decision tables, and combinatorial testing to maximize coverage and minimize redundancy.

n8n-workflow-testing-fundamentals

Comprehensive n8n workflow testing framework for lifecycle validation, node-to-node data flow, error handling, and performance benchmarking in automated environments.

github-navigator

GitHub operations via gh CLI. Use for repository inspection, issues, PRs, releases, and deep codebase analysis including cloning for architectural insights.

confluence-docs

Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.

overview

Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.