Nabil hassan mohamed ali
Community@nabilhassan12345 · istanbul
AI engineer building and fine-tuning LLM-powered systems (RAG, agents, FastAPI)
Agent Skills by Nabil hassan mohamed ali
Showing 18 vetted skills indexed across 1 GitHub repositories.
update-docs
Synchronize documentation pages with source code changes via SOURCE_DOC_MAPPING.md.
changelog
Generate categorized changelog files from significant PR commits.
code-review
Automate GitHub pull request reviews with CLAUDE.md compliance and bug detection.
pr-submit
Create a GitHub pull request from the active branch with guided prompts.
pr-description
Update GitHub PR descriptions from commits and diffs.
docstring
Generate Google-style docstrings for Python modules and classes.
Code Cleanup Skill
Refactor branch changes to improve readability and align with Pipecat standards.
sglang-diffusion-benchmark-profile
Benchmark and profile SGLang Diffusion denoising pipelines for latency and resource usage.
sglang-diffusion-add-model
Automate adding a Diffusers-based diffusion model to SGLang's multimodal_gen framework.
sglang-diffusion-ako4all-kernel
Optimizes existing SGLang diffusion kernels using AKO4ALL harnesses with benchmarking and validation workflows.
sglang-diffusion-performance
Optimizes SGLang diffusion pipeline throughput by selecting fastest flags and configurations across GPUs and VRAM budgets.
write-sglang-test
Create and register SGLang CI/UT tests with CustomTestCase and CI functions.
ci-workflow-guide
Orchestrate SGLang CI workflows with stage gating and fast-fail.
add-jit-kernel
Add a CUDA kernel to Sling's jit_kernel module for element-wise ops.
debug-cuda-crash
Diagnose CUDA crashes in SGLang with kernel API logging.
generate-profile
Launch an SGLang server and generate a Chrome profiling trace.
sglang-auto-benchmark
Automate SGLang benchmark runs with tiered server-flag sweeps and YAML configs.
add-sgl-kernel
Implement CUDA/C++ AOT kernels in sgl-kernel with Python and Torch extensions.