Repository
AMD-AGI/Hyperloom agent skills
- skills
- 5
- GitHub stars
- 216
GitHub description: “An agentic system that auto-optimizes LLM workloads on AMD GPUs.”
- Stars
- 216 (62 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Mar 2026
- agent
- llm
- python
- skills
- ai-agents
- amd
- amd-gpu
- gpu
- gpu-kernels
- hip
- inference
- large-language-models
- llm-inference
- machine-learning
- mi300x
- optimization
Install all skills
npx skills add AMD-AGI/HyperloomAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in AMD-AGI/Hyperloom, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Critic layer for the inference optimizer. An agent skill from AMD-AGI/Hyperloom. | AMD-AGI/ | 216 | — | ~3.5k | Automated safety check: Pass | Unknown | today |
| 2 | Review a Hyperloom pull request. An agent skill from AMD-AGI/Hyperloom. | AMD-AGI/ | 216 | — | ~4.8k | Automated safety check: Pass | Unknown | today |
| 3 | Deploys or restarts the shared global Experience KB that Hyperloom workspaces push their Experiences to and pull others' from, validates authenticated health, and tells each workspace which .env… | AMD-AGI/ | 216 | — | ~1.1k | Automated safety check: Notes | Unknown | today |
| 4 | Run a 4-hour multi-node Hyperloom Qwen3-30B-A3B optimization (Infera PD-disaggregated or RayJob aggregated) with --nodes 2 and sglang MoE tuning on MI325X. | AMD-AGI/ | 216 | — | ~1.8k | Automated safety check: Pass | Unknown | today |
| 5 | Configures Hyperloom after pip install --target . An agent skill from AMD-AGI/Hyperloom. | AMD-AGI/ | 216 | — | ~7.2k | Automated safety check: Notes | Unknown | today |
Questions, answered from the data.
What is the best skill in AMD-AGI/Hyperloom?
Critic Agent from AMD-AGI/Hyperloom ranks first of the 5 skills in AMD-AGI/Hyperloom listed here, with the highest score: its repository has 216 GitHub stars, its SKILL.md loads about 3.5k tokens and it passes the automated safety check with no findings. Next come Review PR and Hyperloom Global Kb.
Are the skills in AMD-AGI/Hyperloom official?
None yet. All 5 skills in AMD-AGI/Hyperloom listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from AMD-AGI/Hyperloom?
Run npx skills add AMD-AGI/Hyperloom in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.