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Agent skill

Flydsl Tile Programming

by ROCm in 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.

Custom licenceAuto-check: notesAI & LLM Engineering

Install Flydsl Tile Programming

skills CLI
$ npx skills add ROCm/FlyDSL --skill flydsl-tile-programming -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ROCm/FlyDSL flydsl-tile-programming --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ROCm/FlyDSL.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/flydsl-tile-programming .claude/skills/flydsl-tile-programming && rm -rf skills-src

Use ~/.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/

Facts

Skill name
flydsl-tile-programming
GitHub stars
288
Token cost
~4.6k tokens
SKILL.md length
714 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

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 in 8 steps: Classify the Kernel Type → Generate Kernel Skeleton → Fill in the Compute Logic → …
  • The user wants to WRITE a new kernel
  • SKILL.md covers Step 1: Classify the Kernel Type, Step 2: Generate Kernel Skeleton, Step 3: Fill in the Compute… and Step 4: Add Control Flow, plus 7 more sections
  • Calls python and pip

What it does

Flydsl Tile Programming is an agent skill from 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. Use when the user wants to WRITE a new kernel, port a Triton kernel to FlyDSL, or learn tile programming by following a procedure. For API/layout-algebra lookups, per-op reference tables, and troubleshooting, use the flydsl-kernel-authoring skill instead.

Its SKILL.md is about 4.6k 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 AI & LLM Engineering, covering GPU and accelerator computing. 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.

When your agent uses it

  • The user wants to WRITE a new kernel
  • Port a Triton kernel to FlyDSL
  • Learn tile programming by following a procedure

Example prompts

  • “/flydsl-tile-programming”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Edit, Bash, Grep, Glob, Agent

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Classify the Kernel Type
  2. Generate Kernel Skeleton
  3. Fill in the Compute Logic
  4. Add Control Flow
  5. Add Synchronization (if needed)
  6. Add Shared Memory (if needed)
  7. Test the Kernel
  8. Debug Common Errors

What it can do on your machine

Read from SKILL.md and the folder at commit 1941889. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Edit
    • Bash
    • Grep
    • Glob
    • Agent

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Flydsl Tile Programming loads about 4.6k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 714 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Edit, Bash, Grep, Glob, Agent

Automated 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.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 714 words (~4,623 tokens).

“Guide users through writing GPU kernels using FlyDSL's tile programming model (CuTe-style layout algebra). This skill is a step-by-step wizard that takes a kernel requirement and produces a correct, tested FlyDSL kernel.”

— opening of SKILL.md by ROCm, Custom licence
name
flydsl-tile-programming
allowed-tools
Read, Edit, Bash, Grep, Glob, Agent

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/flydsl-tile-programming of ROCm/FlyDSL.

Open the folder on GitHubat commit 1941889

Compare with similar skills

Flydsl Tile Programming 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.

Flydsl Tile Programming compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Flydsl Tile Programming this skillROCm/FlyDSL288—~4.6kAutomated safety check: NotesCustom licence
Hugging Face LLM Trainerhuggingface/skills11k3 repos~7.2kAutomated safety check: PassApache-2.0
Hugging Face Local Model Evalshuggingface/skills11k2 repos~1.6kAutomated safety check: PassApache-2.0
Fla Triton To Gluonfla-org/flash-linear-attention5.8k—~4.2kAutomated safety check: PassMIT
Liger Kernel Perflinkedin/Liger-Kernel6.6k—~1.5kAutomated safety check: PassBSD-2-Clause
DGX Spark Memory and Thermal Opswshobson/agents40k1 repos~2kAutomated safety check: PassMIT

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  • Fla Triton To Gluon

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More from ROCm/FlyDSL

All 19 skills in this repo

  • Llvm

    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.

    288 GitHub stars~4.9k tokensUpdated today
    Auto-check: notes

  • Isa Resource Diff

    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.

    288 GitHub stars~2.7k tokensUpdated today
    Auto-check: notes

  • API Stability

    ROCm/FlyDSL

    Review a FlyDSL PR, commit, branch, kernel, or consuming module for API-stability compliance.

    288 GitHub stars~3.2k tokensUpdated today
    Auto-check: notes

  • Build Rocm Image

    ROCm/FlyDSL

    Connect to a remote host via SSH and build a Docker image with rocprofv3, aiter, and FlyDSL.

    288 GitHub stars~1.2k tokensUpdated today
    Auto-check: notes

  • Debug Flydsl Kernel

    ROCm/FlyDSL

    Debug FlyDSL GPU kernels that produce NaN, inf, wrong results, or crash.

    288 GitHub stars~2.6k tokensUpdated today
    Auto-check: notes

  • Format Code

    ROCm/FlyDSL

    Format, clean up, and style-check changed files, matching the project's CI style gate.

    288 GitHub stars~1.9k tokensUpdated today
    Auto-check: notes

Categories

Questions about Flydsl Tile Programming

What does Flydsl Tile Programming do?

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. Flydsl Tile Programming is an agent skill from 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.

When should I use Flydsl Tile Programming?

Flydsl Tile Programming fits situations like: the user wants to WRITE a new kernel; port a Triton kernel to FlyDSL; learn tile programming by following a procedure.

How do I install Flydsl Tile Programming in Claude Code?

Run `npx skills add ROCm/FlyDSL --skill flydsl-tile-programming -a claude-code`. Or copy the skill folder (.claude/skills/flydsl-tile-programming in ROCm/FlyDSL) into .claude/skills/flydsl-tile-programming in your project. Claude Code loads it when a task matches its description.

How do I install Flydsl Tile Programming in Codex?

Run `npx skills add ROCm/FlyDSL --skill flydsl-tile-programming -a codex`. Or copy the skill folder (.claude/skills/flydsl-tile-programming in ROCm/FlyDSL) into .agents/skills/flydsl-tile-programming in your project. Codex loads it when a task matches its description.

Can I use Flydsl Tile Programming in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ROCm/FlyDSL --skill flydsl-tile-programming -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flydsl-tile-programming, .gemini/skills/flydsl-tile-programming, .github/skills/flydsl-tile-programming and .opencode/skills/flydsl-tile-programming in your project.

What does Flydsl Tile Programming need to run?

Going by SKILL.md and its folder, Flydsl Tile Programming needs the command-line tools its instructions call (python and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Edit, Bash, Grep, Glob, Agent.

Does Flydsl Tile Programming access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Flydsl Tile Programming safe to install?

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.

What licence does Flydsl Tile Programming use?

Flydsl Tile Programming has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Flydsl Tile Programming use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Flydsl Tile Programming?

Skills that share tags, products or a category with Flydsl Tile Programming: Hugging Face LLM Trainer (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars), Fla Triton To Gluon (fla-org/flash-linear-attention, 5.8k stars) and Liger Kernel Perf (linkedin/Liger-Kernel, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Flydsl Tile Programming?

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.