Search everything...

Stats

Actions

Available In

lavra

Name: lavra
Author: roberto-mello

By roberto-mello

Orchestrate multi-agent development workflows with persistent memory, automated code review, and knowledge capture across Ruby, Rails, and frontend stacks. Manage tasks as 'beads' with parallel execution, Git worktree isolation, and self-healing subagents.

Publisher marketplacelavra@lavra-marketplace · marketplace and plugin share one repository (roberto-mello/lavra)

npx claudepluginhub roberto-mello/lavra --plugin lavra

Popularity

Stars

Top 10%

Med: 0·Avg: 642

Copy clicks

Top 10%

Med: 0·Avg: 1

What's Inside

Slash Commands23

changelog

/changelog

Create engaging changelogs for recent merges to main branch

heal-skill

/heal-skill

Fix incorrect SKILL.md files when a skill has wrong instructions or outdated API references

lavra-checkpoint

/lavra-checkpoint

Save session progress by filing beads, capturing knowledge, and syncing state

lavra-design

/lavra-design

Orchestrate the full design pipeline -- brainstorm, plan, research, revise, review, lock

lavra-import

/lavra-import

Import a markdown plan into beads as an epic with child tasks

Agents30

design-implementation-reviewer

/design-implementation-reviewer

Verifies UI implementations match Figma design specifications. Use after HTML/CSS/React components are created or modified to compare implementation against Figma and identify discrepancies.

design-iterator

/design-iterator

Iteratively refines UI design through N screenshot-analyze-improve cycles. Use PROACTIVELY when design changes aren't coming together after 1-2 attempts, or when user requests iterative refinement.

figma-design-sync

/figma-design-sync

Detects and fixes visual differences between web implementation and Figma design. Use iteratively when syncing implementation to match Figma specs.

ankane-readme-writer

/ankane-readme-writer

Creates or updates README files following Ankane-style template for Ruby gems. Enforces imperative voice, sentences under 15 words, proper section ordering, and single-purpose code fences.

best-practices-researcher

/best-practices-researcher

Researches external best practices, documentation, and examples for any technology, framework, or development practice. Checks available skills first, then official docs and community standards.

Skills23

agent-browser

/agent-browser

Browser automation via Vercel's agent-browser CLI. Use when browsing websites, filling forms, taking screenshots, or scraping data.

agent-native-architecture

/agent-native-architecture

Design agent-native architectures where agents are first-class citizens. Use when building autonomous agents, MCP tools, or self-modifying systems.

brainstorming

/brainstorming

Explore user intent, approaches, and design decisions before planning. Use for ambiguous requests, brainstorming sessions, or feature exploration.

creating-agent-skills

/create-agent-skills

Create and refine Claude Code Skills. Use when authoring SKILL.md files, building new skills, or improving existing skill structure and best practices.

file-todos

/file-todos

Manage file-based todos in todos/ directory. Use when creating, triaging, or tracking todos and integrating them with code review.

Hooks1

Event Hooks

Bash

4 hooks across 4 events

MCP Servers1

context7

External

Stats

Version0.7.7

ReleasedApr 21, 2026

LanguageShell

Stars47

Forks2

Copy clicks1

MaintenanceExcellent

LicenseMIT

Last CommitMay 22, 2026

AddedMar 24, 2026

Actions

View on GitHub View README Plugin Marketplace JSON Homepage

Own this plugin?

Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).

Available In

lavra-marketplace45 dendrite1 labby-marketplace1

Safety Signals

Caution

Executes bash commands

Hook triggers when Bash tool is used

External network access

Connects to servers outside your machine

README

Lavra (/ˈla.vɾɐ/ — Portuguese for "harvest")

Lavra turns your AI coding agent into a development team that gets smarter with every task.

A plugin for coding agents that orchestrates the full development lifecycle -- from brainstorming to shipping -- while automatically capturing and recalling knowledge so each unit of work makes the next one easier.

Without Lavra

The agent forgets everything between sessions -- you re-explain context every time
Planning is shallow: it jumps to code before thinking through the problem
Review is inconsistent: sometimes thorough, sometimes a rubber stamp
Knowledge stays in your head. When a teammate hits the same bug, they start from zero
Shipping is manual: you run tests, create the PR, close tickets, push -- every time

Forgetful agent surrounded by scattered documents

With Lavra

Automatic memory. Knowledge is captured inline during work and recalled automatically at the start of every session. Hit the same OAuth bug next month? The agent already knows the fix.
Structured planning. Brainstorm with scope sharpening, research with domain-matched agents, adversarial plan review -- all before a single line of code is written.
Disciplined execution. Agents follow deviation rules (what to auto-fix vs. escalate), commit per task with traceable bead IDs, and verify every success criterion before marking work done.
Built-in quality gates. Every implementation runs through a review-fix-learn loop. Knowledge capture is mandatory, not optional.
Team-shareable knowledge. Memory lives in .lavra/memory/knowledge.jsonl, tracked by git. Your team compounds knowledge together.

Agent with memory climbing stairs of compounding knowledge

The workflow

Most of the time, you type three commands:

/lavra-design "I want users to upload photos for listings"

This runs the full planning pipeline as a single command: interactive brainstorm with scope sharpening, structured plan with phased beads, domain-matched research agents, plan revision, and adversarial review. The output is detailed enough that implementation is mechanical.

/lavra-work

Picks up the approved plan and implements it. Auto-routes between single and multi-bead parallel execution. Includes mandatory review, fix loop, and knowledge curation -- all automatic.

/lavra-ship

Rebases on main, runs tests, scans for secrets and debug leftovers, creates the PR, closes beads, and pushes the backup. One command to land the plane.

Add /lavra-qa between work and ship when building web apps -- it maps changed files to routes and runs browser-based verification with screenshots.

Who this is for

Anyone using coding agents who wants consistent, high-quality output instead of hoping the agent gets it right this time.

View full README on GitHub

lavra

Popularity

What's Inside

Confidence

README

Lavra (/ˈla.vɾɐ/ — Portuguese for "harvest")

Without Lavra

With Lavra

The workflow

Who this is for

Similar Plugins

cc-best

agentic-workflow

cwf

claude-code-harness

compound-engineering

helloagents

Lavra (/ˈla.vɾɐ/ — Portuguese for "harvest")

Without Lavra

With Lavra

The workflow

Who this is for

Popularity

Health & Quality

Similar Plugins

cc-best

agentic-workflow

cwf

claude-code-harness

compound-engineering

helloagents