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Creates, debugs, and hardens systemd service, timer, socket, path, and mount units β with sandboxing, resource limits, restart policies, and timer scheduling.
Generates vulnerability scan scripts for Linux servers, Docker containers, and web apps using Trivy (CVE), nmap (ports), testssl.sh (TLS), and Nikto (web) β for authorized security assessments only.
LSP integration for Shopify Liquid templates via the Shopify CLI theme language server.
Liquid language fundamentals, CSS/JS/HTML coding standards, and WCAG accessibility patterns for Shopify themes
from nealcaren/social-data-analysis
from nealcaren/social-data-analysis
Skill for writing run.py scripts with lite-runner: a reproducible CLI experiment runner (training, eval, benchmark, sweep, simulation, distributed launcher) with W&B and local JSON tracking.
LiteJS build system β HTML attributes (cat, min, drop, inline), asset handling, build phases
LiteJS release helper β version bumping, changelog, tagging, publishing
LiteJS test framework β assertions, mocking, data-driven tests, snapshots
Abductive argumentation-based literature trend analysis across tagged literature threads
Academic literature orientation skill. PICO/SPIDER frameworks, systematic review structure, 8-section DOCX guide. Research-pack convention. Path-B from megaprompt 09.
MCP tools + /feedback commands + PreToolUse hook + live review surface (markdown + injectable widget).
Real-time communication and voice agent integration with LiveKit. Enables AI agents to participate in video, audio, and messaging sessions.
Liz Osborn's canonical patterns library β ONE home for her reusable agents, skills, and tools. Available in every Claude Code session in every project, so the same pattern means the same thing wherever invoked. v0.1.1 (2026-06-16): adds drift-watcher agent β read-only oversight agent for long multi-repo executions, validated in production twice before promotion.
Use /ljg-roundtable <topic> to launch a structured roundtable discussion on any topic
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
from EngineerWithAI/engineerwith-agents
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
LLM application development, prompt engineering, and AI assistant optimization