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Agent Skill · 效率

eda-spec2gds(eda 规范 2gds)

eda-spec2gds 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

eda-spec2gds 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 9,140。

总安装 6,327周安装 269GitHub Stars 公开资料未说明下载 2,217核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:eda-spec2gds(eda 规范 2gds)
来源仓库:https://github.com/s906903912/eda-spec2gds
安装命令:
openclaw skills install eda-spec2gds
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install eda-spec2gds

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

驱动从硬件规范到 GDS 格式的开源 EDA 全流程,支持 OpenClaw 技能与 CLI 工具联动。适用于芯片设计工程师、硬件开发团队进行规格转换与版图生成的效率提升。通过 OpenClaw 安装并使用 clawhub 方式部署,需准备项目文件与环境依赖。

使用前请确认工具链兼容性、许可证限制及是否允许执行系统级命令。eda-spec2gds 属于效率类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install eda-spec2gds;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

eda-spec2gds 怎么安装?

在终端执行 openclaw skills install eda-spec2gds。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

eda-spec2gds 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

eda-spec2gds 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install eda-spec2gds 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

eda-spec2gds 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

eda-spec2gds 用的人多吗?

公开数据是累计安装 6,327 次,近一周安装 269 次,下载 2,217 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

eda-spec2gds 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
eda-spec2gds

eda 规范 2gds · 本页

6,327—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
eda-spec2gds
description
Drive an open-source EDA workflow from spec to GDS using OpenClaw skills, workspace files, and CLI tools. Use when the user wants to turn a hardware spec into RTL, testbenches, synthesis results, OpenLane backend runs, GDS output, or report summaries; also use when creating, iterating, or auditing an AgentSkill for AI-driven chip design workflows.
metadata
requires
bins
[python3, yosys, iverilog, vvp, docker]
optional_bins
[verilator, klayout, gtkwave]
network
true # For Docker image pulls and package installation
permissions
install_script
scripts/install_ubuntu_24_mvp.sh # Optional, requires sudo
warnings

eda-spec2gds Skill

⚠️ Security Notice: This skill includes optional system installation scripts (scripts/install_ubuntu_24_mvp.sh, scripts/bootstrap_eda_demo.sh) that require sudo access and modify system state. These scripts should only be run in isolated development environments (VM, container, or dedicated workstation), not production systems. Core skill operations (RTL generation, file management, report collection) are file-based and safe.

Execute a staged, artifact-first open-source EDA flow within the workspace. Prefer deterministic scripts for execution, keeping the agent focused on planning, generation, diagnosis, and iteration.

Workflow

1. Normalize the Specification First

  • Convert free-form requirements into a structured specification before writing RTL.
  • Read references/spec-template.md and produce input/normalized-spec.yaml.
  • If clock/reset, IO, target flow, or timing targets are missing, stop and ask the user or record explicit assumptions.

2. Initialize a Project Directory

  • Create a run folder under eda-runs/<design-name>/ using the layout in references/workflow.md.
  • Copy or generate starter files from assets/project-template/ when useful.

3. Generate RTL and Testbench Separately

  • Write RTL to rtl/design.v.
  • Write testbench to tb/testbench.v.
  • Keep assumptions and design notes in reports/rtl-notes.md.

4. Run Validation in Strict Order

  • Run lint/syntax checks before simulation.
  • Run simulation before synthesis.
  • Run synthesis before OpenLane.
  • Do not skip failed stages unless the user explicitly requests it.

5. Treat Artifacts as Source of Truth

  • Save logs, reports, VCD waveforms, netlists, configurations, and summary files.
  • Prefer file outputs over GUI tools. GUI viewers like GTKWave/KLayout are optional helpers, not required steps.

6. Diagnose Before Editing

  • For failures, read references/failure-patterns.md.
  • Classify the failure: specification gap, RTL bug, testbench bug, synthesis issue, or backend/configuration issue.
  • Fix the smallest plausible cause first.

7. Summarize Each Stage Clearly

  • State pass/fail status.
  • List key artifact paths.
  • Record assumptions, blockers, and next recommended actions.

Hard Rules

  • Do not start backend if simulation is failing.
  • Do not start OpenLane if synthesis failed or the top module is unclear.
  • Do not silently invent missing interfaces, clocks, resets, or timing targets without documenting assumptions.
  • Prefer single-clock, no-macro, no-CDC MVP flows unless the user explicitly requests advanced features.
  • Use the scripts in scripts/ for repeatable operations instead of re-inventing shell commands each time.

Default Project Layout

Use this layout unless the user already has an existing project structure:

eda-runs/<design-name>/
├── input/
│   ├── raw-spec.md
│   └── normalized-spec.yaml
├── rtl/
│   └── design.v
├── tb/
│   └── testbench.v
├── constraints/
│   └── config.json
├── lint/
│   └── lint.log
├── sim/
│   ├── compile.log
│   ├── sim.log
│   └── output.vcd
├── synth/
│   ├── synth.ys
│   ├── synth.log
│   ├── synth_output.v
│   └── stat.rpt
├── backend/
│   └── openlane_project/
├── reports/
│   ├── summary.md
│   ├── risks.md
│   ├── next-steps.md
│   └── ppa.json
└── metadata.json

Resource Map

  • Read references/spec-template.md when the specification is incomplete or ambiguous.
  • Read references/workflow.md when you need the phase-by-phase execution order.
  • Read references/openlane-playbook.md before setting up or debugging OpenLane.
  • Read references/failure-patterns.md when a run fails and you need a triage path.
  • Read references/ppa-report-guide.md when summarizing synthesis/backend reports.
  • Read references/ubuntu-24-setup.md when preparing an Ubuntu host for this workflow.
  • Read references/demo-walkthrough.md when you want a concrete first-run example.
  • Read references/dashboard-plan.md when you want a web view for progress and artifacts.
  • Use scripts in scripts/ for initialization, spec normalization, environment checks, installation, lint, simulation, synthesis, OpenLane, backend result collection, GDS preview rendering, artifact web serving, report collection, and run summaries.
  • Use assets/examples/simple-fifo/ as the first smoke-test case.
  • Use assets/openlane-config-template.json as the default backend configuration template.

Quick Start

Prerequisites

Before using this skill, ensure your environment has:

Required Tools:

  • python3 (3.8+)
  • yosys (synthesis)
  • iverilog + vvp (simulation)
  • docker (OpenLane backend)

Optional Tools:

  • verilator (faster simulation)
  • klayout (GDS visualization)
  • gtkwave (waveform viewing)

Option A: Environment Already Prepared

If your system already has the EDA toolchain installed:

  1. Initialize a run directory with scripts/init_project.py <design-name>.
  2. Save user requirements to input/raw-spec.md.
  3. Normalize them into input/normalized-spec.yaml using scripts/normalize_spec.py along with references/spec-template.md.
  4. Write or copy rtl/design.v and tb/testbench.v.
  5. Run scripts/check_env.sh to verify tool availability.
  6. Run scripts/run_lint.sh, then scripts/run_sim.sh, then scripts/run_synth.sh.
  7. Only after those pass, prepare constraints/config.json and run scripts/run_openlane.sh.
  8. Collect artifacts with scripts/collect_reports.py and summarize with scripts/summarize_run.py.

Option B: Fresh Environment Setup

⚠️ Run only in isolated/development environments!

  1. Review scripts/install_ubuntu_24_mvp.sh to understand system changes
  2. Run the installation script (requires sudo): bash scripts/install_ubuntu_24_mvp.sh
  3. Re-login or run newgrp docker to apply Docker group changes
  4. Pull OpenLane image: docker pull efabless/openlane:latest
  5. Verify installation: scripts/check_env.sh
  6. Proceed with Quick Start Option A

MVP Scope

Default to an MVP flow that supports:

  • Single module or small design
  • Single clock domain
  • Simple reset behavior
  • Generated or hand-authored Verilog RTL
  • Testbench-driven simulation
  • Yosys synthesis
  • OpenLane backend run with template configuration
  • Report collection and summary

Escalate to the user before attempting advanced topics like CDC, SRAM/macros, multi-clock constraints, DFT, or signoff-quality closure.

Security and Isolation

What This Skill Does

Safe, File-Based Operations (Core Skill):

  • Generate RTL and testbench code
  • Manage project directory structures
  • Run local EDA tools (yosys, iverilog)
  • Collect and summarize reports
  • Serve local dashboards

System-Modifying Operations (Optional Setup Scripts Only):

  • Install system packages via apt (scripts/install_ubuntu_24_mvp.sh)
  • Modify Docker group membership (usermod -aG docker)
  • Create Python virtual environments
  • Pull Docker images from Docker Hub

Recommended Deployment

  • ✅ Development workstation with sudo access
  • ✅ Isolated VM (recommended for production evaluation)
  • ✅ Docker-in-Docker container environments
  • ⚠️ Shared production systems - review scripts first
  • ❌ Unreviewed execution on critical infrastructure

Script Audit Checklist

Before running installation scripts:

  1. Review scripts/install_ubuntu_24_mvp.sh for apt/pip/docker commands
  2. Review scripts/bootstrap_eda_demo.sh for demo setup steps
  3. Understand that usermod -aG docker grants container escape potential
  4. Verify network destinations (apt archives, PyPI, Docker Hub)
  5. Consider running in a disposable VM or container

See references/SECURITY.md for detailed security guidance.

平台分布

OpenClaw

79.38%
按下载量换算1,760

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install eda-spec2gds 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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