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lev-os

Official

@lev-os

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8Public Repos
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50Published Skills

Offers a modular framework for multi-agent orchestration, semantic search, and technical lifecycle management across complex software development environments.

Skills Distribution
DomainDeveloper To...Software Lifecycle.. (40%)Semantic Search & .. (30%)Security & Complia.. (20%)UX Design & Protot.. (10%)

Agent Skills by lev-os

Showing 50 vetted skills indexed across 1 GitHub repositories.

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lev-ref

Codify agentic UX techniques for bi-directional human-agent communication in CLI interactions.

Official
Advanced
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agent-browser

Automate browser interactions for web testing, form filling, screenshots, and data extraction.

Official
Advanced
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security-threat-model

Generate repository-grounded threat models enumerating trust boundaries, assets, attacker capabilities, abuse paths, and mitigations.

Official
Advanced
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screenshot

Capture desktop, window, or region screenshots across macOS, Linux, and Windows.

Official
Intermediate
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llm-tldr

Compresses code from 16 languages into token-efficient, fast-queryable summaries for AI agents.

Official
Advanced
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lev

Route natural language aliases to primitives and protocols in the Leviathan ecosystem.

Official
Advanced
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thinking-parliament

Orchestrate multi-agent deliberation across diverse AI models with confidence-based routing.

Official
Advanced
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nextjs-best-practices

Guide Next.js App Router development with component and data fetching best practices.

Official
Intermediate
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lev-intake

Ingests GitHub repos, YouTube videos, articles, PDFs, and skill packages via cloning, scraping, and transcript fetching.

Official
Advanced
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skill-builder

Convert websites, GitHub repositories, and PDFs into structured AI skills.

Official
Advanced
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lev-social

Aggregate sentiment and trend reports from Twitter/X, Reddit, and TikTok.

Official
Advanced
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prompt-engineer

Transform user prompts into optimized prompts using frameworks like RTF and Chain of Thought.

Official
Advanced
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lev-find

Orchestrate semantic search across code, docs, tasks, and memory using Reciprocal Rank Fusion.

Official
Advanced
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security-best-practices

Review Python, JavaScript/TypeScript, and Go codebases for security vulnerabilities.

Official
Advanced
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lev-index

Manage LEANN vector indexes for semantic search via gRPC.

Official
Intermediate
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agentping

Send structured human approval and feedback requests via JSON interfaces.

Official
Advanced
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find-skills

Search for agent skills by task description and provide installation commands.

Official
Basic
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lev-builder

Orchestrate POC-to-production code migration with graph plans and filesystem patches.

Official
Advanced
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openclaw-config

Diagnose and resolve OpenClaw bot configuration and channel issues.

Official
Advanced
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lev-align

Audit codebase alignment against north star documentation and classify drift types.

Official
Advanced
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gastown

Orchestrate multiple AI agents for software development task execution.

Official
Advanced
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sidequest

Automates the software development lifecycle by classifying job complexity and executing workflows.

Official
Advanced
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workflow-quality-audit

Orchestrate a multi-step quality audit pipeline for items against defined standards.

Official
Advanced
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ux

Orchestrate a 7-step UX design pipeline from problem framing to wireframe generation.

Official
Advanced

Frequently Asked Questions About lev-os

FAQPage Schema
What 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.