Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Optimize hipfire HIP/compute kernels — pick one tuning lever (multi-row, K-tile depth, prefetch, wave-size port, WMMA/MFMA, fused projections, ISA flags) and validate it with profile → ISA →…
Install Hipfire Kernel Tuning
$ npx skills add warpfront/hipfire --skill hipfire-kernel-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install warpfront/hipfire hipfire-kernel-tuning --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/warpfront/hipfire.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/hipfire-kernel-tuning .claude/skills/hipfire-kernel-tuning && 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 "hipfire-kernel-tuning" agent skill from https://github.com/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuning into .claude/skills/hipfire-kernel-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hipfire-kernel-tuning", 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/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuningType 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 warpfront/hipfire --skill hipfire-kernel-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install warpfront/hipfire hipfire-kernel-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/warpfront/hipfire.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/hipfire-kernel-tuning .agents/skills/hipfire-kernel-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hipfire-kernel-tuning" agent skill from https://github.com/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuning into .agents/skills/hipfire-kernel-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hipfire-kernel-tuning", 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 warpfront/hipfire --skill hipfire-kernel-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install warpfront/hipfire hipfire-kernel-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/warpfront/hipfire.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/hipfire-kernel-tuning .cursor/skills/hipfire-kernel-tuning && 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 "hipfire-kernel-tuning" agent skill from https://github.com/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuning into .cursor/skills/hipfire-kernel-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hipfire-kernel-tuning", 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/warpfront/hipfire.git --path .agents/skills/hipfire-kernel-tuning--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 warpfront/hipfire --skill hipfire-kernel-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install warpfront/hipfire hipfire-kernel-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/warpfront/hipfire.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/hipfire-kernel-tuning .gemini/skills/hipfire-kernel-tuning && 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 "hipfire-kernel-tuning" agent skill from https://github.com/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuning into .gemini/skills/hipfire-kernel-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hipfire-kernel-tuning", 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 warpfront/hipfire hipfire-kernel-tuningInstalls 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 warpfront/hipfire --skill hipfire-kernel-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/warpfront/hipfire.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/hipfire-kernel-tuning .github/skills/hipfire-kernel-tuning && 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 "hipfire-kernel-tuning" agent skill from https://github.com/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuning into .github/skills/hipfire-kernel-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hipfire-kernel-tuning", 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 warpfront/hipfire --skill hipfire-kernel-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install warpfront/hipfire hipfire-kernel-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/warpfront/hipfire.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/hipfire-kernel-tuning .opencode/skills/hipfire-kernel-tuning && 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 "hipfire-kernel-tuning" agent skill from https://github.com/warpfront/hipfire/tree/master/.agents/skills/hipfire-kernel-tuning into .opencode/skills/hipfire-kernel-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hipfire-kernel-tuning", 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.
Facts
- Skill name
hipfire-kernel-tuning- GitHub stars
- 653
- Token cost
- ~1.7k tokens
- SKILL.md length
- 607 words
- Files
- 6
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Optimize hipfire HIP/compute kernels — pick one tuning lever (multi-row, K-tile depth, prefetch, wave-size port, WMMA/MFMA, fused projections, ISA flags) and validate it with profile → ISA →…
- Works in 4 steps: playbook.md — profile → root-cause → one… → levers.md — catalog of patterns that… → cross-arch.md — file tags, dispatch… → …
- A hot kernel is identified
- SKILL.md covers When to use, Read order, Non-negotiable rules and What's not in this skill, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Hipfire Kernel Tuning is an agent skill from warpfront/hipfire. Optimize hipfire HIP/compute kernels — pick one tuning lever (multi-row, K-tile depth, prefetch, wave-size port, WMMA/MFMA, fused projections, ISA flags) and validate it with profile → ISA → fresh-process measurement. Use when a hot kernel is identified, you want a real perf win, and you must not regress adjacent archs or promote unverified deltas. Codifies the methodology from this repo's perf history (wave64 CDNA3 port 4105035, nontemporal-load revert 34eb024, gfx12 WMMA PR
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `case-studies.md`, `cross-arch.md` and `levers.md`).
It sits in AI & LLM Engineering. The repository describes itself as: RDNA-native LLM inference engine in Rust.
When your agent uses it
- A hot kernel is identified
- You want a real perf win
- You must not regress adjacent archs
- Promote unverified deltas
Example prompts
- “/hipfire-kernel-tuning”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- playbook.md — profile → root-cause → one lever → source/ISA inspect
- levers.md — catalog of patterns that shipped or failed in this tree,
- cross-arch.md — file tags, dispatch fall-through, "no unreachable
- case-studies.md — worked wins, fake wins, null results, and silent
What it can do on your machine
Read from SKILL.md and the folder at commit 0f999cb. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Hipfire Kernel Tuning loads about 1.7k tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 607 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.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
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 607 words (~1,669 tokens).
“Land real kernel perf wins without inventing a universal gate, shipping measurement noise, or silently regressing an adjacent arch.”
- name
- hipfire-kernel-tuning
Files
SKILL.md and 5 other files in .agents/skills/hipfire-kernel-tuning of warpfront/hipfire.
- SKILL.md
- case-studies.md
- cross-arch.md
- levers.md
- playbook.md
- skill.json
Open the folder on GitHubat commit 0f999cb
Compare with similar skills
Hipfire Kernel Tuning 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 |
|---|---|---|---|---|---|---|
| Hipfire Kernel Tuning this skillwarpfront/hipfire | 653 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Hipfire Kernel Tuning
What does Hipfire Kernel Tuning do?
Optimize hipfire HIP/compute kernels — pick one tuning lever (multi-row, K-tile depth, prefetch, wave-size port, WMMA/MFMA, fused projections, ISA flags) and validate it with profile → ISA →…. Hipfire Kernel Tuning is an agent skill from warpfront/hipfire. Optimize hipfire HIP/compute kernels — pick one tuning lever (multi-row, K-tile depth, prefetch, wave-size port, WMMA/MFMA, fused projections, ISA flags) and validate it with profile → ISA → fresh-process measurement.
When should I use Hipfire Kernel Tuning?
Hipfire Kernel Tuning fits situations like: A hot kernel is identified; you want a real perf win; you must not regress adjacent archs; promote unverified deltas.
How do I install Hipfire Kernel Tuning in Claude Code?
Run `npx skills add warpfront/hipfire --skill hipfire-kernel-tuning -a claude-code`. Or copy the skill folder (.agents/skills/hipfire-kernel-tuning in warpfront/hipfire) into .claude/skills/hipfire-kernel-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Hipfire Kernel Tuning in Codex?
Run `npx skills add warpfront/hipfire --skill hipfire-kernel-tuning -a codex`. Or copy the skill folder (.agents/skills/hipfire-kernel-tuning in warpfront/hipfire) into .agents/skills/hipfire-kernel-tuning in your project. Codex loads it when a task matches its description.
Can I use Hipfire Kernel Tuning 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 warpfront/hipfire --skill hipfire-kernel-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hipfire-kernel-tuning, .gemini/skills/hipfire-kernel-tuning, .github/skills/hipfire-kernel-tuning and .opencode/skills/hipfire-kernel-tuning in your project.
What does Hipfire Kernel Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Hipfire Kernel Tuning is instructions for the agent only.
Does Hipfire Kernel Tuning access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Hipfire Kernel Tuning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Hipfire Kernel Tuning use?
Hipfire Kernel Tuning 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 Hipfire Kernel Tuning use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Hipfire Kernel Tuning?
Skills that share tags, products or a category with Hipfire Kernel Tuning: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hipfire Kernel Tuning?
warpfront (a GitHub organization) maintains it in warpfront/hipfire, which has 653 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: warpfront/hipfire on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.