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LLM_Amplifier_Sizing Skill

AI Agent SkillVerilogOpen source

LLM_Amplifier_Sizing is a Verilog AI agent skill for Cursor, Windsurf, Codex. LLM_Amplifier_Sizing is an open-source AI agent skill for agent skills.

How to use LLM_Amplifier_Sizing Skill

Compatible clients

CursorWindsurfCodex

What is LLM_Amplifier_Sizing Skill?

LLM_Amplifier_Sizing is a Verilog AI agent skill for Cursor, Windsurf, Codex. LLM_Amplifier_Sizing is an open-source AI agent skill for agent skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
50/100
Maintenance signal
80/100
Adoption signal
39/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Reusable instructions support
  • Includes SKILL.md support
  • Document generation support
  • Anthropic provider support
  • Google provider support
  • AnalogAgent/skills/analog-amplifier/SKILL.md config support
  • Reusing agent instructions, scripts, and references

Technical details

CursorWindsurfCodexSSE
  • Built for Verilog
  • Built for Python
  • Built for Go
  • Works with Cursor
  • Works with Windsurf
  • Works with Codex
  • Uses SSE transport

Requirements and access

VerilogPythonGo

When to use LLM_Amplifier_Sizing Skill

  • Use it for reusing agent instructions, scripts, and references.
  • Use it for agent skills workflows.
  • Use it for coding workflows.
  • Use it for data workflows.
  • Use it for cursor users.

Built with

VerilogPythonGoCursorWindsurfCodexSSE

Explore related resources

Frequently asked questions

What is LLM_Amplifier_Sizing?

LLM_Amplifier_Sizing is a Verilog AI agent skill for Cursor, Windsurf, Codex. jiyuanduan001-oss/LLM_Amplifier_Sizing is an open-source Skills candidate discovered from GitHub.

Who is LLM_Amplifier_Sizing best for?

LLM_Amplifier_Sizing is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, cursor users.

How do I install LLM_Amplifier_Sizing?

Check the LLM_Amplifier_Sizing GitHub repository for installation instructions.

Is LLM_Amplifier_Sizing actively maintained?

LLM_Amplifier_Sizing may need a closer maintenance check before production use.

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37
Forks
1
Last commit
2 months ago
Repository age
3 months
License
Unknown

Auto-fetched from GitHub.

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