{"repo":"techygarg/lattice","free":true,"listed":false,"github":"https://github.com/techygarg/lattice","clone":"git clone https://github.com/techygarg/lattice.git","description":"Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.","language":"Shell","stars":178,"topics":["agent","agent-skills","agentskills","claude","claude-code","claude-code-plugin","claude-skills","clean-architecture","clean-code","codex"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Lattice Composable AI skills that teach assistants structured thinking — design-first, context-aware, and architecture-guided. What is Lattice? AI coding assistants jump straight to code, silently make design decisions, forget constraints mid-conversation, and produce output nobody reviewed against real standards. Lattice fixes this with composable skills in three tiers — atoms, molecules, refiners — that embed battle-tested engineering disciplines plus a living context layer that accumulates your project's standards, decisions, and review insights across every feature cycle. Three principles guided Lattice's design: - Skills over prompts — versioned, team-owned skill files in the repository beat personal prompts on one developer's machine - Composability over monoliths — small single-purpose skills that combine into workflows beat one instruction document that tries to cover everything - Living context over static config — the .lattice/ folder grows smarter with every feature cycle rather than being configured once and forgotten The Three Tiers Tier Purpose ------ --------- Atoms Single-principle guardrails — clean code, architecture, DDD, secure coding, test quality, design-first, and more Molecules Multi-step workflows that compose atoms — design, implement, refactor, fix, review Refiners Guided interviews that produce project-specific standards, customizing how atoms behave for your team See How It Works for the full skill inventory and mechanics. The Pipeline Skills form","default_branch":null,"files":null,"tree":[],"storefront":"/r/techygarg","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/techygarg/lattice/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}