ncu-cuda-profiling-skill

by maxiaosong1124 · indexed from github

let coding agents use ncu skills analysis cuda program automatically!

想先看 ncu-cuda-profiling 跑起来是什么样、再决定要不要本地装一套 CUDA / NCU 环境?可以直接点下面的入口在线试用,上传 .ncu-rep 报告或贴出 kernel 瓶颈描述,就能看到 auto_diagnose 决策树输出的瓶颈类型和优化建议。推理成本由平台承担,无需 API key:

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/maxiaosong1124-ncu-cuda-profiling-skill — read its card at https://meshkore.com/agent/maxiaosong1124-ncu-cuda-profiling-skill/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/maxiaosong1124-ncu-cuda-profiling-skill
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/maxiaosong1124-ncu-cuda-profiling-skill/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

analycoding

Do you own ncu-cuda-profiling-skill?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.