Corvus Ctj Handler Implementation
corvus-dotnet/Corvus.JsonSchema
Implement OpenAPI server handlers using Corvus.Text.Json generated types.
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.
$ npx skills add ROCm/FlyDSL --skill llvm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ROCm/FlyDSL llvm --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/llvm .claude/skills/llvm && 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 "llvm" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/llvm into .claude/skills/llvm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llvm", 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/llvmType 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 llvm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ROCm/FlyDSL llvm --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/llvm .agents/skills/llvm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llvm" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/llvm into .agents/skills/llvm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llvm", 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 llvm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ROCm/FlyDSL llvm --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/llvm .cursor/skills/llvm && 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 "llvm" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/llvm into .cursor/skills/llvm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llvm", 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/llvm--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 llvm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ROCm/FlyDSL llvm --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/llvm .gemini/skills/llvm && 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 "llvm" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/llvm into .gemini/skills/llvm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llvm", 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 llvmInstalls 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 llvm -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/llvm .github/skills/llvm && 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 "llvm" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/llvm into .github/skills/llvm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llvm", 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 llvm -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 llvm --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/llvm .opencode/skills/llvm && 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 "llvm" agent skill from https://github.com/ROCm/FlyDSL/tree/main/.claude/skills/llvm into .opencode/skills/llvm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llvm", 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.
llvmTune and analyse a FlyDSL kernel at the LLVM level: pick a compile hint, function attribute, or AMDGPU backend flag, then PROVE it reached codegen.
Llvm is an agent skill from 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. Covers the compilehints keys, the llvmoptions cl::opt escape hatch, rocdl. / raw LLVM function attributes, per-arch options for gfx950 and gfx1250, dumping and reading NNllvmir.ll, replaying the LLVM half with llc, and the knobs in this repo that silently do nothing. Use when asked to reduce spills, raise occupancy, change the instruction schedule, set wavespereu or…
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/amdgpu-attributes.md`, `references/arch-gfx1250.md` and `references/arch-gfx950.md`).
It sits in Development, covering Performance optimization and Project scaffolding. 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.
10 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:
ReadWriteEditBashGrepGlobFrom allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
dockerpythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use docker, 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.
Llvm loads about 4.9k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 235 tokens; SKILL.md has 2,242 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: Read, Write, Edit, Bash, 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); the scripts in this folder 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 2,242 words (~4,918 tokens).
“FlyDSL reaches LLVM through four lanes, and only some of them are alive. This skill routes you to the one that works for your knob, then makes you prove it landed. The repo is knob-rich and instrument-poor: four knobs were…”
SKILL.md and 7 other files (scripts, references) in .claude/skills/llvm of ROCm/FlyDSL.
Open the folder on GitHubat commit 1941889
Llvm 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 |
|---|---|---|---|---|---|---|
| Llvm this skillROCm/FlyDSL | 288 | — | ~4.9k | Automated safety check: Notes | Custom licence | |
| Corvus Ctj Handler Implementationcorvus-dotnet/Corvus.JsonSchema | 199 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Senior Javabenchflow-ai/skillsbench | 1.8k | — | ~5k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Nx Generatenomcopter/react-mosaic | 4.8k | 7 repos | ~1.9k | Automated safety check: Pass | Custom licence |
corvus-dotnet/Corvus.JsonSchema
Implement OpenAPI server handlers using Corvus.Text.Json generated types.
benchflow-ai/skillsbench
World-class Java and Spring Boot development skill for enterprise applications, microservices, and cloud-native systems.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
nomcopter/react-mosaic
Generate code using nx generators. An agent skill from nomcopter/react-mosaic.
DavidObando/gsharp
Forces the laziest solution that actually works, simplest, shortest, most minimal.
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.
ROCm/FlyDSL
Format, clean up, and style-check changed files, matching the project's CI style gate.
Categories
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. Llvm is an agent skill from 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.
Llvm fits situations like: asked to reduce spills; raise occupancy; change the instruction schedule; flatworkgroupsize.
Run `npx skills add ROCm/FlyDSL --skill llvm -a claude-code`. Or copy the skill folder (.claude/skills/llvm in ROCm/FlyDSL) into .claude/skills/llvm in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ROCm/FlyDSL --skill llvm -a codex`. Or copy the skill folder (.claude/skills/llvm in ROCm/FlyDSL) into .agents/skills/llvm 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 llvm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llvm, .gemini/skills/llvm, .github/skills/llvm and .opencode/skills/llvm in your project.
Going by SKILL.md and its folder, Llvm needs Python for the scripts in its folder and the command-line tools its instructions call (docker and python). Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Grep, Glob.
SKILL.md contains no URLs. Its commands use docker, 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Llvm has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Llvm: Corvus Ctj Handler Implementation (corvus-dotnet/Corvus.JsonSchema, 199 stars), Senior Java (benchflow-ai/skillsbench, 1.8k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars) and LLM Torch Profiler Analysis (sgl-project/sglang, 37k 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.