Agent Skills Hub

ride

Analyze codebases to generate evidence-grounded Loa artifacts using Enterprise-Grade Managed Scaffolding for structured reality mapping.

splitting-notes

Refactor monolithic notes into modular, index-linked files for improved discoverability and organization, targeting files over 1000 lines.

systematic-debugging

A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.

kanban-based-development

Autonomous, parallel-safe development workflow using kanban-md. Coordinates multi-agent and human efforts with atomic claims, worktrees, and explicit handoffs.

subtask

Parallel task orchestration CLI for AI workers using isolated git workspaces.

tanstack-router

TanStack Router configuration, file-based routing, and type-safe navigation for React applications.

api-docs-generator

Automated API documentation engine that generates and updates OpenAPI specs and Markdown from code changes.

dependency-upgrade

Manage major dependency upgrades through systematic compatibility analysis, staged rollout strategies, and automated testing.

documentation-creation

Automated generation of project documentation from codebase analysis, ensuring accuracy, consistency, and alignment with VilnaCRM architecture patterns.

agent-system

Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.

session-intelligence-harvester

Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.

massive-context-mcp

Process massive files and large codebases (10M+ tokens) by recursively chunking, sub-querying, and aggregating results to overcome LLM context limits.