systemverilog-lsp

한국어 문서: README_kr.md

RTL Agent Team

A Claude Code plugin for automated RTL design and verification. 94 specialized AI agents + 93 skills automate the 6-Phase pipeline: Research → Architecture → μArch → RTL → Verify → Design Note.

A Claude Code plugin for automated RTL design and verification.

Automates the 6-Phase design pipeline (Research → Architecture → μArch → RTL → Verify → Design Note) with 94 specialized AI agents + 93 skills + 12 reference documents.

Marketplace

This repository serves as the RTL Agent Marketplace, providing hardware design plugins.

Plugin	Description	Version
rtl-agent-team	94-agent RTL design pipeline (Research → Architecture → μArch → RTL → Verify → Design Note)	0.9.0
systemverilog-lsp	SystemVerilog/Verilog LSP (slang-server based — diagnostics, hover, go-to-definition, etc.)	1.1.1

Additional plugins (domain knowledge packages, MCP servers, specialized skills, etc.) will be added to the Marketplace over time.

Quick Start

# 1. Register the Marketplace
/plugin marketplace add babyworm/rtl-agent-team

# 2. Install plugins
/plugin install rtl-agent-team
/plugin install systemverilog-lsp   # (optional) SV LSP

# 3. Check environment
/rtl-agent-team:rat-setup

# 4. Full automation (or "Design an H.264 TQ subsystem")
/rtl-agent-team:rat-auto-design

If systemverilog-lsp is installed but slang-server is missing, the sub-plugin checks on SessionStart and prompts for local (~/.local/bin, recommended), global, or skip.

Installation

Install from Claude Code chat (recommended)

/plugin marketplace add babyworm/rtl-agent-team
/plugin install rtl-agent-team

Verify installation: /plugin

Install from CLI

claude plugin marketplace add babyworm/rtl-agent-team
claude plugin install rtl-agent-team

Local symlink for development

When developing with direct access to the plugin source:

git clone https://github.com/babyworm/rtl-agent-team.git
ln -s "$(pwd)/rtl-agent-team" ~/.claude/plugins/local/rtl-agent-team

Usage

Routing contract

• Route user intent to Action Skills first (for example, /rtl-agent-team:rat-auto-design, /rtl-agent-team:rtl-p5-verify).
• Orchestrator agents are internal execution units and are spawned by Action Skills via Task(...).
• Policy skills are loaded by orchestrators via skills: [*-policy].
• rtl-orchestrate is an internal routing reference skill (user-invocable: false), not a user slash command.

Full automation

/rtl-agent-team:rat-auto-design

Runs the entire 6-Phase pipeline automatically. You can also use natural language, e.g., "Design an H.264 TQ subsystem".

Autopilot escalation ladder

rat-auto-design gates use a per-gate retry ladder:

• 1..N: primary strategy
• N+1..2N: fallback strategy (scope split + agent composition switch)
• 2N+1: last-chance alternative (one automatic attempt)
• after last-chance fail: stop and ask user guidance

Dynamic fallback guidance is injected through state (orchestration_control.dynamic_prompt_text) and surfaced by Stop hooks.

Pipeline composition (split execution)

/rtl-agent-team:rat-dse              # Phase 1→2: Deep algorithm + architecture exploration (DSE)
/rtl-agent-team:codec-rd-eval        # BD-PSNR/BD-rate evaluation for algorithm comparison
/rtl-agent-team:codec-conformance-eval  # Decoder conformance evaluation (JVET/JCTVC/3rd party)
/rtl-agent-team:rat-p1p3-spec-uarch    # Phase 1→3: Spec → μArch design documents
/rtl-agent-team:rat-p4p5-impl-verify  # Phase 4→5: μArch → RTL implementation + verification

Split the pipeline for human review between design and implementation:

• rat-dse: Deep Design Space Exploration — compare multiple algorithms and architecture candidates with quantitative trade-offs. Can also transform an existing functional C model into an architectural reference model. Stops at Phase 2 for review.
• rat-p1p3-spec-uarch: Standard Phase 1→3 — produce design documents through μArch. Stops for review before RTL.
• rat-p4p5-impl-verify: Phase 4→5 — implement RTL and run full verification from approved μArch documents.

Resume interrupted pipeline

If rat-auto-design is interrupted, progress is saved automatically. Re-run the same command to resume from the last incomplete step — completed phases are skipped.

Project initialization

/rtl-agent-team:rat-init-project

Creates the project directory structure, deploys coding convention rules, and auto-installs EDA wrapper scripts (run_sim.sh, run_lint.sh, run_syn.sh, run_cdc.sh) into the project via a hook-driven bootstrap. Existing scripts are never overwritten (non-destructive policy).

For EDA tool verification and installation, run /rtl-agent-team:rat-setup (one-time per machine).

Individual skills