Lattice
Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.
Install
git clone https://github.com/techygarg/latticeInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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 a delivery lifecycle: requirement-forge → design-blueprint → code-forge → review, with refactor-safely and bug-fix covering structural and defect-driven work. requirement-forge starts the pipeline — it acts as a senior PM + BA pair to produce structured feature specs in .lattice/requirements/ that feed directly into design-blueprint. For teams with existing codebases, architecture-compass sits before the pipeline — it scans the repository, runs a structured interview, and produces an agreed architectural direction that orients the team before any code changes begin. Each stage consumes and produces artifacts in .lattice/, growing the living context layer.
Getting Started
Install Lattice — choose the path that fits your setup:
Option A — Claude Code plugin (also works in Cursor — reads Claude Code skills automatically)
/plugins marketplace add techygarg/lattice /plugins install lattice /reload-pluginsOption B — Codex-compatible plugin package
codex plugin marketplace add techygarg/lattice codex plugin add lattice@lattice codex plugin list | rg -i latticeThe Codex plugin manifest lives in
.codex-plugin/and is registered by.agents/plugins/marketplace.json. Like every host plugin here, it's a thin manifest only — it points at the same shared, flatskills/folder every other host uses, plus the verification runner script (scripts/run-verification.sh) — Codex has no subagent concept, so verification always runs the script directly rather than via a subagent. Grok (.grok-plugin/) and Kimi (.kimi-plugin/) follow the same pattern.
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