lev-os
Official@lev-os
Offers a modular framework for multi-agent orchestration, semantic search, and technical lifecycle management across complex software development environments.
Agent Skills by lev-os
Showing 50 vetted skills indexed across 1 GitHub repositories.
lev-ref
Codify agentic UX techniques for bi-directional human-agent communication in CLI interactions.
agent-browser
Automate browser interactions for web testing, form filling, screenshots, and data extraction.
security-threat-model
Generate repository-grounded threat models enumerating trust boundaries, assets, attacker capabilities, abuse paths, and mitigations.
screenshot
Capture desktop, window, or region screenshots across macOS, Linux, and Windows.
llm-tldr
Compresses code from 16 languages into token-efficient, fast-queryable summaries for AI agents.
lev
Route natural language aliases to primitives and protocols in the Leviathan ecosystem.
thinking-parliament
Orchestrate multi-agent deliberation across diverse AI models with confidence-based routing.
nextjs-best-practices
Guide Next.js App Router development with component and data fetching best practices.
lev-intake
Ingests GitHub repos, YouTube videos, articles, PDFs, and skill packages via cloning, scraping, and transcript fetching.
skill-builder
Convert websites, GitHub repositories, and PDFs into structured AI skills.
lev-social
Aggregate sentiment and trend reports from Twitter/X, Reddit, and TikTok.
prompt-engineer
Transform user prompts into optimized prompts using frameworks like RTF and Chain of Thought.
lev-find
Orchestrate semantic search across code, docs, tasks, and memory using Reciprocal Rank Fusion.
security-best-practices
Review Python, JavaScript/TypeScript, and Go codebases for security vulnerabilities.
lev-index
Manage LEANN vector indexes for semantic search via gRPC.
agentping
Send structured human approval and feedback requests via JSON interfaces.
find-skills
Search for agent skills by task description and provide installation commands.
lev-builder
Orchestrate POC-to-production code migration with graph plans and filesystem patches.
openclaw-config
Diagnose and resolve OpenClaw bot configuration and channel issues.
lev-align
Audit codebase alignment against north star documentation and classify drift types.
gastown
Orchestrate multiple AI agents for software development task execution.
sidequest
Automates the software development lifecycle by classifying job complexity and executing workflows.
workflow-quality-audit
Orchestrate a multi-step quality audit pipeline for items against defined standards.
ux
Orchestrate a 7-step UX design pipeline from problem framing to wireframe generation.
Frequently Asked Questions About lev-os
FAQPage SchemaWhat specific technical tasks can be performed using these capabilities?▼
These capabilities enable repository-grounded threat modeling, AST-level bug scanning, C4 architecture diagram generation, and multi-agent software development lifecycle management through structured graph-based dispatch.
Which technical personas benefit most from this ecosystem?▼
Software architects, security engineers, and full-stack developers benefit from these capabilities by offloading repetitive code reviews, documentation generation, and complex system design tasks to orchestrated multi-agent processes.
What are the primary prerequisites for deploying these capabilities?▼
Deployment requires a local environment capable of executing the core runtime, access to Git repositories for source analysis, and configured vector index storage for semantic search operations.