Repository

graphsignal/graphsignal agent skills

Every skill in the graphsignal/graphsignal repository on GitHub, ranked by score, with the commands to install them.
skill
1
GitHub stars
257

GitHub description: “GPU Profiler for AI agents”

Stars
257 (12 forks)
Licence
Apache-2.0
Last push
Sep 2026
Created
Apr 2021
  • machine-learning
  • deep-learning
  • inference
  • pytorch
  • debugging
  • monitoring
  • artificial-intelligence
  • ai-agents
  • observability
  • gpu
  • gpu-kernels
  • gpu-monitoring
  • gpu-optimization

Install all skills

skills CLI (any agent)
npx skills add graphsignal/graphsignal

Add --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).

Skills in graphsignal/graphsignal, ranked

Skills in graphsignal/graphsignal, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.

graphsignal/graphsignal257—~6.2kAutomated safety check: PassApache-2.010 days ago

Questions, answered from the data.

What is the best skill in graphsignal/graphsignal?

Graphsignal from graphsignal/graphsignal ranks first of the 1 skills in graphsignal/graphsignal listed here, with the highest score: its repository has 257 GitHub stars, its SKILL.md loads about 6.2k tokens and it passes the automated safety check with no findings.

Are the skills in graphsignal/graphsignal official?

None yet. All 1 skills in graphsignal/graphsignal 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 graphsignal/graphsignal?

Run npx skills add graphsignal/graphsignal 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.