By griddynamics
Rosetta Core 2.0 - OSS foundation for AI agent instructions, workflows, and guardrails. Includes Rosetta MCP for knowledge base access.
Workflow for the rest of tasks: lightweight documentation, build, track, synchronize, etc.
Phase 3 Code Analysis of aqa-flow
Phase 1 Data Collection of aqa-flow
Phase 2 Requirements Clarification of aqa-flow
Phase 4 Selector Identification of aqa-flow
Author and adapt prompts — discover, draft, deliver — under HITL approvals. Full subagent.
Architect solution, transform intent into reliable tech specs, etc. Full subagent.
Discover project context, patterns, affected areas, dependencies, etc. Lightweight subagent.
Implement and test to high quality under the orchestrator-assigned identity. Full subagent.
Run simple commands, collect and summarize results to protect parent context. Lightweight subagent.
To orchestrate parallel coding-agent farms (Claude, Codex, Copilot, Gemini, etc.) on isolated git worktrees.
To author, register, and test Rosetta hooks, add a SemanticKind, or debug a hook that won't fire.
To author, adapt, review, and validate prompts (skills, agents, workflows, rules, etc.) with brief, contracts, and a validation pack.
To implement features, fix bugs, and refactor with KISS/SOLID/DRY and systematic validation.
Rosetta CRITICAL MUST skill. MUST activate when action or its consequence is potentially dangerous, potentially irreversible, potentially destructive, or HIGH RISK. MUST activate when consequence MAYBE dangerous even if action itself seems safe. This is enterprise environment — the cost of dangerous activities is EXTREMELY HIGH, recovery may be impossible, and blast radius may affect production, shared environments, or other teams. If there is even a remote chance - load the skill.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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Engineering governance and context for AI coding agents — shared instructions, architecture, standards, workflows, and guardrails in every session.
https://github.com/user-attachments/assets/6df6e217-3e5c-4691-84ed-7440701a87de
AI coding agents are great — until you try to use them across a real team. Everyone builds their own prompts and instructions, knowledge stays in silos, and the agent — not knowing your architecture or constraints — guesses from a few open files and confidently does the wrong thing.
That's why we built Rosetta — open-source engineering governance and context for AI coding agents. It's not another proprietary agent; it works with the tools you already use (Claude Code, Cursor, Copilot, Codex, and other MCP-compatible agents) and loads your team's shared engineering instructions into every session. Everything is versioned in Git and can run inside your perimeter.
Teach agents how to think, not what to do. The model already knows Python and React; what it lacks is your engineering discipline. That's what Rosetta encodes.
Rosetta-guided work follows five phases — Prepare → Research → Plan → Act → Validate — with approval gates at the key decision points. Read more in the Usage Guide.
[!NOTE] If you are effectively using your current setup, writing your own skills, and managing AI using your own processes, you probably don't need Rosetta.
| Without Rosetta | With Rosetta |
|---|---|
| Each developer writes their own prompts and instructions | One versioned, shared source of truth |
| The agent guesses from a few open files | It reads your architecture and conventions first |
| Starts coding immediately | Prepare → research → plan → act → validate |
| Reviews its own work in the same context | A fresh-context reviewer subagent checks it |
| "Generate and hope" | Validation with real execution evidence |
| Knowledge stuck in senior engineers' heads | Captured once, reused everywhere |
| Without Rosetta | With Rosetta |
|---|---|
| Jumps straight into editing the handler | Reads ARCHITECTURE.md and your existing conventions first |
| Misses the shared middleware pattern; duplicates the Redis client | Reuses the shared rate-limiter and Redis layer |
| No plan, no checkpoint | Proposes a plan and asks for approval |
| Ships without running tests | Runs the integration tests, then a fresh-context reviewer validates |
1. Install — pick the option that fits:
npx claudepluginhub p/griddynamics-core-instructions-r2-coreRosetta Core 2.0 - OSS foundation for AI agent instructions, workflows, and guardrails. Includes Rosetta MCP for knowledge base access.
Grid Dynamics SpecFlow Marketplace plugin
Rosetta Core 2.0 - OSS foundation for AI agent instructions, workflows, and guardrails. Includes Rosetta MCP for knowledge base access.
Multi-agent development workflow (/crew) — planning, implementation, review, documentation, evals, and audit gates. Commands, agents, and skills are auto-discovered from the repo.
HelloAGENTS — The orchestration kernel that makes any AI CLI smarter. Adds intelligent routing, unified QA gates, safety guards, and notifications.
Repowire mesh usage skills for AI coding agents: cross-agent review and planning, delegate, usage patterns, and install/update. Backend-agnostic and parameterised on the agent you choose.
Persistent memory, shared standards, and structured workflows for AI coding agents. Detects project setup and injects agent context automatically.
Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup