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Python · By amd
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Adds a release eval scorecard to a GAIA hub agent by writing a harness adapter, running a real eval, and wiring the result into the agent's README and release gate. | amd/ | 1.6k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 2 | Walks through releasing a GAIA sidecar agent as a frozen binary plus npm client through the tag-triggered Agent Hub CI pipeline, with a human gate before publishing. | amd/ | 1.6k | — | ~3.6k | Automated safety check: Pass | MIT | today |
| 3 | Mines local Claude Code session transcripts with a deterministic Python pipeline to show what the agent is actually used for, how often it fails and what it costs. | amd/ | 1.6k | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 4 | Guides safe code changes by finding the right file with grep or semantic search, reading before editing, reproducing bugs first, and proving a fix with a real test run. | amd/ | 1.6k | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 5 | Walks through scaffolding, writing and testing a new GAIA agent as a Python class with the SDK, from the base Agent subclass to registered tool methods. | amd/ | 1.6k | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 6 | Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer. | amd/ | 395 | — | ~1.7k | Automated safety check: Notes | MIT | today |
| 7 | Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning. | amd/ | 181 | — | ~1.4k | Automated safety check: Pass | MIT | 9 days ago |
| 8 | Benchmarks LLM inference and drives GPU kernel optimization with Magpie. | amd/ | 395 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 9 | Install or verify the AMD Quark package and its dependencies. | amd/ | 181 | — | ~1.8k | Automated safety check: Notes | MIT | 9 days ago |
| 10 | Diagnose failed Quark ONNX installation, calibration, quantization, custom-op compilation, or export attempts. | amd/ | 181 | — | ~4.8k | Automated safety check: Pass | MIT | 9 days ago |
| 11 | Embeds one of this repo's pre-built hub agents (under hub/agents/) into a developer's own application. | amd/ | 1.6k | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 12 | Install or verify the correct ONNX Runtime build (and the onnx package) for a user's accelerator backend before Quark's ONNX-to-ONNX flow. | amd/ | 181 | — | ~3.2k | Automated safety check: Pass | MIT | 9 days ago |
| 13 | End-to-end ONNX PTQ workflow for AMD Quark — from a .onnx file (and calibration data) to a quantized .onnx output. | amd/ | 181 | — | ~4.5k | Automated safety check: Pass | MIT | 9 days ago |
| 14 | Diagnose failed Quark installation, PTQ execution, script generation, or export attempts. | amd/ | 181 | — | ~1.9k | Automated safety check: Notes | MIT | 9 days ago |
| 15 | Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation. | amd/ | 181 | — | ~1.6k | Automated safety check: Pass | MIT | 9 days ago |
| 16 | Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch. | amd/ | 181 | — | ~3.5k | Automated safety check: Notes | MIT | 9 days ago |