flagrelease-entrance-flagos
OfficialEnd-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 requiredComponents
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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