Agent Skills Hub

documentation-creation

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

synthesizer

Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.

lsp

Implementation and maintenance guide for the atopile Language Server (LSP), providing IDE features like autocomplete and diagnostics for electronics design.

debugging-strategies

Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.

test-skill

A testing fixture for validating AI agent skill configurations and detecting rule violations.

elasticsearch

Elasticsearch DBA skill for cluster architecture, mapping design, performance tuning, and production operations including ILM, shard strategy, and troubleshooting.

ReasoningBank Intelligence

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement in AI agents.

xp-practices

Implement Extreme Programming (XP) practices including TDD, pair programming, and continuous integration to enhance team collaboration and technical excellence in software engineering.

openai-agents-sdk

Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.

agent-canvas

Orchestrate visual communication by drawing diagrams, flowcharts, and annotations on a TLDraw canvas via CLI. Ideal for architectural planning, PR reviews, and logging agent output.

dependency-auditor

Automated security auditing for project dependencies. Scans package files (npm, pip, maven, etc.) for vulnerabilities, CVEs, and license issues, offering automated fix suggestions and integration for secure deployment workflows.

codex-cli

Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.