Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally.
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ROCm/FlyDSL capture-kernel-trace --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .claude/skills/capture-kernel-trace && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "capture-kernel-trace" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-trace into .claude/skills/capture-kernel-trace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capture-kernel-trace", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-traceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ROCm/FlyDSL capture-kernel-trace --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .agents/skills/capture-kernel-trace && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "capture-kernel-trace" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-trace into .agents/skills/capture-kernel-trace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capture-kernel-trace", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ROCm/FlyDSL capture-kernel-trace --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .cursor/skills/capture-kernel-trace && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "capture-kernel-trace" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-trace into .cursor/skills/capture-kernel-trace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capture-kernel-trace", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ROCm/FlyDSL.git --path .claude/skills/capture-kernel-trace--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ROCm/FlyDSL capture-kernel-trace --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .gemini/skills/capture-kernel-trace && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "capture-kernel-trace" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-trace into .gemini/skills/capture-kernel-trace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capture-kernel-trace", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ROCm/FlyDSL capture-kernel-traceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .github/skills/capture-kernel-trace && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "capture-kernel-trace" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-trace into .github/skills/capture-kernel-trace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capture-kernel-trace", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ROCm/FlyDSL capture-kernel-trace --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .opencode/skills/capture-kernel-trace && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "capture-kernel-trace" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/capture-kernel-trace into .opencode/skills/capture-kernel-trace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capture-kernel-trace", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
capture-kernel-traceCapture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally.
Capture Kernel Trace is an agent skill from ROCm/FlyDSL. Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally. Discovers kernel names, configures input.yaml with the target kernelincluderegex, runs rocprofv3 -i input.yaml with FLYDSLDEBUGENABLEDEBUGINFO=1, and downloads the latest uioutputagent directory for analysis. Usage: /capture-kernel-trace <testscript.py [kernelnamepattern]
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Containers. It works with Docker. The repository describes itself as: FlyDSL is the Python front‑end of the project: a Flexible Layout Python DSL for expressing tiling, partitioning, data movement, and kernel structure at a high level.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1941889. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGrepGlobFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
sshscppython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh and scp, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Capture Kernel Trace loads about 2.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 652 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Write, Edit, Grep, GlobAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 652 words (~2,492 tokens).
“Capture rocprofv3 ATT traces from a GPU environment (local or remote Docker container), then download the trace output for analysis.”
Just SKILL.md in .claude/skills/capture-kernel-trace of ROCm/FlyDSL.
Open the folder on GitHubat commit 1941889
Capture Kernel Trace next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Capture Kernel Trace this skillROCm/FlyDSL | 288 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
langbot-app/LangBot
Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
NVIDIA/OpenShell
Maintain and validate OpenShell's build-only Windows MSVC lane for x64 and ARM64.
omnigent-ai/omnigent
Brings up the Omnigent server and Postgres as a Docker compose stack on any Docker host, and covers the Dockerfile's runtime and host build targets for extending it to a new platform.
ROCm/FlyDSL
Tune and analyse a FlyDSL kernel at the LLVM level: pick a compile hint, function attribute, or AMDGPU backend flag, then PROVE it reached codegen.
ROCm/FlyDSL
Detect per-kernel GPU resource regressions (VGPR, SGPR, register spills, scratch, static LDS) by diffing the final ISA before and after a change, using its isaresourcetable.py helper.
ROCm/FlyDSL
Review a FlyDSL PR, commit, branch, kernel, or consuming module for API-stability compliance.
ROCm/FlyDSL
Connect to a remote host via SSH and build a Docker image with rocprofv3, aiter, and FlyDSL.
ROCm/FlyDSL
Debug FlyDSL GPU kernels that produce NaN, inf, wrong results, or crash.
ROCm/FlyDSL
Guided step-by-step wizard for producing a new FlyDSL GPU kernel from a requirement: classify the kernel type, pick a skeleton, fill in compute, add control flow / sync / LDS, then test on GPU.
Works with
Categories
Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally. Capture Kernel Trace is an agent skill from ROCm/FlyDSL. Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally.
Capture Kernel Trace fits situations like: tasks that involve Containers.
Run `npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a claude-code`. Or copy the skill folder (.claude/skills/capture-kernel-trace in ROCm/FlyDSL) into .claude/skills/capture-kernel-trace in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a codex`. Or copy the skill folder (.claude/skills/capture-kernel-trace in ROCm/FlyDSL) into .agents/skills/capture-kernel-trace in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capture-kernel-trace, .gemini/skills/capture-kernel-trace, .github/skills/capture-kernel-trace and .opencode/skills/capture-kernel-trace in your project.
Going by SKILL.md and its folder, Capture Kernel Trace needs the command-line tools its instructions call (ssh, scp and python3). Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Grep, Glob.
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Capture Kernel Trace has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Capture Kernel Trace: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ROCm (a GitHub organization) maintains it in ROCm/FlyDSL, which has 288 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 8, 2026.
Source: ROCm/FlyDSL on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.