Local AI assistant for the Axelera Voyager SDK and Metis AIPU — semantic RAG over the public Axelera sources + workflow skills, via MCP. No account, no cloud.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Add a custom model to the Voyager SDK model zoo for Axelera AI hardware. Use when the user wants to integrate a new PyTorch, ONNX, timm, or Ultralytics model.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
General Axelera AI Voyager SDK and Metis hardware router for broad repository orientation, task planning, or multi-step work spanning several skills that is not a specific launch, run, deploy, debug, benchmark, app, test, build, or model-zoo task. Route explanation and architecture questions to voyager-help. Activate…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Benchmark model performance on Axelera AI Metis hardware with the Voyager SDK. Use when the user wants to measure FPS, throughput, latency, or compare model variants. Use to quantify a working pipeline. Prefer voyager-debug when performance is a suspected fault or regression.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Build GStreamer operators, trackers, and C/C++ examples for Axelera AI hardware. Use when the user wants to compile native Voyager SDK components.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code needs its repo
Generate a Keep a Changelog fragment for the current PR in the Axelera Voyager / Voyager SDK development workflow. Provide a PR number or let the skill derive it from gh pr view.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Systematically debug and fix issues with Axelera AI Voyager SDK pipelines, models, inference, installation, or hardware. Use when the user brings an existing error, log, crash, accuracy issue, or regression, or when the Voyager SDK install is missing, broken, or outdated, the driver or firmware mismatch, or the Metis…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Compile and deploy a model pipeline for Axelera AI hardware using the Voyager SDK, especially custom or non-prebuilt models. Use when the user explicitly asks for compilation, quantization, or calibration, or wants to deploy or optimize a model for Axelera APU. For prebuilt model-zoo networks or complete runnable…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Get help with Voyager SDK for Axelera AI hardware. Use when the user asks questions about Voyager SDK, Axelera hardware, pipelines, InferenceStream API, or model zoo. Explanation-only answers; no code changes or pipeline runs.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Initialize Axelera Voyager MCP server integration for task management, knowledge base, and project tracking. Use when the user wants to set up Voyager for a new Voyager SDK workspace.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Complete one-shot Voyager SDK launcher for Axelera AI Metis pipelines and demos. Use when the user asks to build, create, launch, run, verify, package, open a browser result viewer, or show results for a complete AI vision pipeline from a natural-language request (including when they want to debug or evaluate a…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
List and search models in the Voyager SDK model zoo for Axelera AI hardware. Use when the user wants to find available models by task, framework, or dataset.
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Create or modify a standalone Python application using the Voyager SDK InferenceStream/createinferencestream API for Axelera AI Metis hardware. Use when the user explicitly asks for app code, monitoring, analytics, REST API, custom UI, multi-stream logic, alerts, or business logic around an existing/validated…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Create a YAML pipeline configuration for Axelera AI hardware using the Voyager SDK. Use when the user wants to design detection, classification, segmentation, pose, cascade, or parallel pipelines and explicitly wants YAML-only design. Do not use to build, run, or validate a runnable pipeline; prefer voyager-launch for…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Execute inference.py for an already-selected Voyager SDK model or pipeline on Axelera AI Metis hardware with an explicit source such as video, image, USB, RTSP, dataset, or fakevideo. Use when the user provides or already has the model/pipeline and wants only a run/test/stream command. Do not create, package…
fxd0h/Axelera-Voyager-Local-Assistant
Skill Claude Code
Run pytest suites for Voyager SDK components targeting Axelera AI hardware. Use when the user wants to execute unit tests, integration tests, or coverage reports. Not for testing a model on a video or camera; use voyager-run for that.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: