SQL Optimization Patterns
ynulihao/AgentSkillOS
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries.
Optimize RMS Normalization kernels in Triton for NVIDIA and AMD GPUs.
Install Rmsnorm Kernel Optimization
$ npx skills add ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills rmsnorm-kernel-optimization --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/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kernels/rmsnorm .claude/skills/rmsnorm-kernel-optimization && 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 "rmsnorm-kernel-optimization" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnorm into .claude/skills/rmsnorm-kernel-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rmsnorm-kernel-optimization", 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/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnormType 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 ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills rmsnorm-kernel-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kernels/rmsnorm .agents/skills/rmsnorm-kernel-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rmsnorm-kernel-optimization" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnorm into .agents/skills/rmsnorm-kernel-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rmsnorm-kernel-optimization", 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 ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills rmsnorm-kernel-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kernels/rmsnorm .cursor/skills/rmsnorm-kernel-optimization && 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 "rmsnorm-kernel-optimization" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnorm into .cursor/skills/rmsnorm-kernel-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rmsnorm-kernel-optimization", 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/ZJLi2013/awesome-kernel-skills.git --path skills/kernels/rmsnorm--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 ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills rmsnorm-kernel-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kernels/rmsnorm .gemini/skills/rmsnorm-kernel-optimization && 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 "rmsnorm-kernel-optimization" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnorm into .gemini/skills/rmsnorm-kernel-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rmsnorm-kernel-optimization", 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 ZJLi2013/awesome-kernel-skills rmsnorm-kernel-optimizationInstalls 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 ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kernels/rmsnorm .github/skills/rmsnorm-kernel-optimization && 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 "rmsnorm-kernel-optimization" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnorm into .github/skills/rmsnorm-kernel-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rmsnorm-kernel-optimization", 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 ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills rmsnorm-kernel-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kernels/rmsnorm .opencode/skills/rmsnorm-kernel-optimization && 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 "rmsnorm-kernel-optimization" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/kernels/rmsnorm into .opencode/skills/rmsnorm-kernel-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rmsnorm-kernel-optimization", 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
rmsnorm-kernel-optimization- GitHub stars
- 102
- Token cost
- ~728 tokens
- SKILL.md length
- 320 words
- Files
- 3
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- None found
At a glance
Optimize RMS Normalization kernels in Triton for NVIDIA and AMD GPUs.
- Works in 5 steps: Loads the entire row into registers… → Computes sum of squares via tl.sum(x * x) → Applies rsqrt(mean_sq + eps) -- single… → …
- Optimizing RMSNorm
- SKILL.md covers Overview, Core Technique, Verification and Common Pitfalls, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Rmsnorm Kernel Optimization is an agent skill from ZJLi2013/awesome-kernel-skills. Optimize RMS Normalization kernels in Triton for NVIDIA and AMD GPUs. Covers row-parallel reduction, vectorized loads, warp shuffle patterns, and rsqrt usage. Use when writing or optimizing RMSNorm, LayerNorm, or similar normalization kernels.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `test_rmsnorm.py` and `triton_template.py`).
It sits in Databases, covering Database schema design. It works with NVIDIA AI Platform.
When your agent uses it
- Optimizing RMSNorm
- Similar normalization kernels
Example prompts
- “/rmsnorm-kernel-optimization”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Loads the entire row into registers (FP32 for numerical stability)
- Computes sum of squares via tl.sum(x * x)
- Applies rsqrt(mean_sq + eps) -- single fast instruction
- Multiplies by weight vector
- Stores result
What it can do on your machine
Read from SKILL.md and the folder at commit aba7662. 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
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.comtriton-lang.org
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
Rmsnorm Kernel Optimization loads about 728 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 320 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 320 words (~728 tokens).
“RMS Normalization: out = x / sqrt(mean(x^2) + eps) * weight”
- name
- rmsnorm-kernel-optimization
Files
SKILL.md and 2 other files in skills/kernels/rmsnorm of ZJLi2013/awesome-kernel-skills.
- SKILL.md
- test_rmsnorm.py
- triton_template.py
Open the folder on GitHubat commit aba7662
Compare with similar skills
Rmsnorm Kernel Optimization 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 |
|---|---|---|---|---|---|---|
| Rmsnorm Kernel Optimization this skillZJLi2013/awesome-kernel-skills | 102 | — | ~728 | Automated safety check: Pass | None | |
| SQL Optimization Patternsynulihao/AgentSkillOS | 617 | 11 repos | ~3.3k | Automated safety check: Pass | None | |
| Add Mpk Taskmirage-project/mirage | 2.5k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Datamodellmnimbalyst/nimbalyst | 1.9k | — | ~713 | Automated safety check: Pass | MIT | |
| Sqlite Schema Designfastrepl/anarlog | 9.5k | — | ~1.9k | Automated safety check: Pass | MIT | |
| DB Migrationskurealnum/dotfiles | 290 | — | ~820 | Automated safety check: Pass | None |
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mirage-project/mirage
Step-by-step guide for adding a new task implementation to Mirage Persistent Kernel (MPK).
Datamodellm
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Create visual data models for database schemas using Nimbalyst's DataModelLM editor.
Sqlite Schema Design
fastrepl/anarlog
Design or review schemas for crates/cloudsync using SQLite Sync constraints, not generic SQLite advice.
DB Migrations
kurealnum/dotfiles
A skill your agent uses when generating or regenerating Drizzle migration files, changing database schema tables or columns, resolving migration sequence conflicts after rebase, reviewing migration…
Commonmark Conformance
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Grow Panache's CommonMark spec conformance under Flavor::CommonMark by running every spec.txt example through the shared parser, comparing rendered HTML against the spec's expected HTML…
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Flash Attention Kernel
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Optimize FlashAttention-style fused attention kernels in Triton for NVIDIA and AMD GPUs.
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Optimize Fused Mixture-of-Experts (MoE) kernels in Triton for NVIDIA and AMD GPUs.
Gemm Kernel Optimization
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Optimize dense matrix multiplication (GEMM) kernels in Triton for NVIDIA and AMD GPUs.
Iterative Kernel Optimization Loop
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Orchestrates continuous kernel optimization by chaining profiling, bottleneck diagnosis, tier-based optimization, verification, and benchmarking into an iterative loop.
Kernel Benchmark
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Related
Works with
Categories
Questions about Rmsnorm Kernel Optimization
What does Rmsnorm Kernel Optimization do?
Optimize RMS Normalization kernels in Triton for NVIDIA and AMD GPUs. Rmsnorm Kernel Optimization is an agent skill from ZJLi2013/awesome-kernel-skills. Optimize RMS Normalization kernels in Triton for NVIDIA and AMD GPUs.
When should I use Rmsnorm Kernel Optimization?
Rmsnorm Kernel Optimization fits situations like: optimizing RMSNorm; similar normalization kernels.
How do I install Rmsnorm Kernel Optimization in Claude Code?
Run `npx skills add ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a claude-code`. Or copy the skill folder (skills/kernels/rmsnorm in ZJLi2013/awesome-kernel-skills) into .claude/skills/rmsnorm-kernel-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Rmsnorm Kernel Optimization in Codex?
Run `npx skills add ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a codex`. Or copy the skill folder (skills/kernels/rmsnorm in ZJLi2013/awesome-kernel-skills) into .agents/skills/rmsnorm-kernel-optimization in your project. Codex loads it when a task matches its description.
Can I use Rmsnorm Kernel Optimization 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 ZJLi2013/awesome-kernel-skills --skill rmsnorm-kernel-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rmsnorm-kernel-optimization, .gemini/skills/rmsnorm-kernel-optimization, .github/skills/rmsnorm-kernel-optimization and .opencode/skills/rmsnorm-kernel-optimization in your project.
What does Rmsnorm Kernel Optimization need to run?
Going by SKILL.md and its folder, Rmsnorm Kernel Optimization needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Rmsnorm Kernel Optimization access the network?
SKILL.md names 2 domains. As links in the text: github.com and triton-lang.org. This is read from the text; nothing was executed.
Is Rmsnorm Kernel Optimization 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 Rmsnorm Kernel Optimization use?
No licence was found for Rmsnorm Kernel Optimization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Rmsnorm Kernel Optimization use?
About 728 tokens (SKILL.md is roughly 2.9k 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 Rmsnorm Kernel Optimization?
Skills that share tags, products or a category with Rmsnorm Kernel Optimization: SQL Optimization Patterns (ynulihao/AgentSkillOS, 617 stars), Add Mpk Task (mirage-project/mirage, 2.5k stars), Datamodellm (nimbalyst/nimbalyst, 1.9k stars) and Sqlite Schema Design (fastrepl/anarlog, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rmsnorm Kernel Optimization?
ZJLi2013 (a GitHub user) maintains it in ZJLi2013/awesome-kernel-skills, which has 102 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on March 31, 2026.
Source: ZJLi2013/awesome-kernel-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.