flagrelease-entrance-flagos

Official

End-to-end LLM deployment & benchmarks.

Authorflagos-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Orchestrates the end-to-end LLM deployment, verification, and benchmarking pipeline across multi-chip GPU backends, producing a final structured report. Assumes a prepared GPU container is available and coordinates gate-checked steps with stateful data flow between stages.

Core Features & Use Cases

  • End-to-end orchestration of the four sub-skills: install-stack, env-verify, model-verify, and perf-test, with seamless state propagation.
  • Gate-driven control and robust error handling to ensure pipeline completeness and clear failure reporting.
  • Modular design where each sub-skill can be executed independently while contributing to a unified final report.

Quick Start

Install and run the FlagRelease entrance skill to orchestrate the end-to-end LLM deployment and benchmarking pipeline.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: flagrelease-entrance-flagos
Download link: https://github.com/flagos-ai/skills/archive/main.zip#flagrelease-entrance-flagos

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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