Performance Optimization
Hack23/cia
Application performance tuning, JVM optimization, database query tuning, Vaadin UI performance
Trigger: "profile Materialize", "check memory usage", "analyze binary size", "debug performance", or mentions profiling, samply, heaptrack, flame graphs, memory checking, binary size, slow queries…
Install Mz Profile
$ npx skills add MaterializeInc/materialize --skill mz-profile -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MaterializeInc/materialize mz-profile --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/MaterializeInc/materialize.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/mz-profile .claude/skills/mz-profile && 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 "mz-profile" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-profile into .claude/skills/mz-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-profile", 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/MaterializeInc/materialize/tree/main/.agents/skills/mz-profileType 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 MaterializeInc/materialize --skill mz-profile -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MaterializeInc/materialize mz-profile --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/mz-profile .agents/skills/mz-profile && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mz-profile" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-profile into .agents/skills/mz-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-profile", 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 MaterializeInc/materialize --skill mz-profile -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MaterializeInc/materialize mz-profile --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/mz-profile .cursor/skills/mz-profile && 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 "mz-profile" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-profile into .cursor/skills/mz-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-profile", 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/MaterializeInc/materialize.git --path .agents/skills/mz-profile--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 MaterializeInc/materialize --skill mz-profile -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MaterializeInc/materialize mz-profile --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/mz-profile .gemini/skills/mz-profile && 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 "mz-profile" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-profile into .gemini/skills/mz-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-profile", 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 MaterializeInc/materialize mz-profileInstalls 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 MaterializeInc/materialize --skill mz-profile -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/mz-profile .github/skills/mz-profile && 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 "mz-profile" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-profile into .github/skills/mz-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-profile", 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 MaterializeInc/materialize --skill mz-profile -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MaterializeInc/materialize mz-profile --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaterializeInc/materialize.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/mz-profile .opencode/skills/mz-profile && 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 "mz-profile" agent skill from https://github.com/MaterializeInc/materialize/tree/main/.agents/skills/mz-profile into .opencode/skills/mz-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mz-profile", 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
mz-profile- GitHub stars
- 6.4k
- Token cost
- ~480 tokens
- SKILL.md length
- 185 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Trigger: "profile Materialize", "check memory usage", "analyze binary size", "debug performance", or mentions profiling, samply, heaptrack, flame graphs, memory checking, binary size, slow queries…
- Tasks that involve Performance optimization
- SKILL.md covers CPU profiling, Memory profiling and Analyze the size of binary…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Query optimization
What it does
Mz Profile is an agent skill from MaterializeInc/materialize. Trigger: "profile Materialize", "check memory usage", "analyze binary size", "debug performance", or mentions profiling, samply, heaptrack, flame graphs, memory checking, binary size, slow queries, high CPU/memory in Materialize. Also "slow" or "using too much memory" without explicit profile mention.
Its SKILL.md is about 480 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 Development, covering Performance optimization and Query optimization. It works with Rust and PostgreSQL. The repository describes itself as: The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL.
When your agent uses it
- Tasks that involve Performance optimization
- Tasks that involve Query optimization
Example prompts
- “profile Materialize”
- “check memory usage”
- “analyze binary size”
- “/mz-profile”
What it can do on your machine
Read from SKILL.md and the folder at commit b760ecc. 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
Links to these hosts (documentation or services it may open):
github.com
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
Mz Profile loads about 480 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 185 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 185 words (~480 tokens).
“Prefer profiling with samply, which produces Firefox Profiler-compatible flame graphs.”
- name
- mz-profile
Files
Just SKILL.md in .agents/skills/mz-profile of MaterializeInc/materialize.
Open the folder on GitHubat commit b760ecc
Compare with similar skills
Mz Profile 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 |
|---|---|---|---|---|---|---|
| Mz Profile this skillMaterializeInc/materialize | 6.4k | — | ~480 | Automated safety check: Pass | Custom licence | |
| Performance OptimizationHack23/cia | 239 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Veloxdb Scalable Performanceveloxbase/veloxdb | 646 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Paro Optimizerzunor/paro | 105 | — | ~979 | Automated safety check: Pass | Apache-2.0 | |
| Database OptimizerJeffallan/claude-skills | 12k | — | ~1.6k | Automated safety check: Pass | MIT | |
| SQL Optimizationgithub/awesome-copilot | 40k | 2 repos | ~2.3k | Automated safety check: Pass | MIT |
Similar skills
Veloxdb Scalable Performance
veloxbase/veloxdb
Guides scalability and performance work for VeloxDB's Tauri + Rust PostgreSQL backend and React + TanStack frontend.
Paro Optimizer
zunor/paro
Design, refactor and diagnose Paro's staged optimizer, using EXPLAIN COMPILE for planning and EXPLAIN ANALYZE for execution.
Database Optimizer
Jeffallan/claude-skills
Tunes PostgreSQL and MySQL performance by analyzing slow queries and execution plans, designing indexes, rewriting queries and adjusting configuration, one validated change at a time.
- Official
SQL Optimization
github/awesome-copilot
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server…
Odoo Performance Tuner
sickn33/agentic-awesome-skills
Expert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
More from MaterializeInc/materialize
All 15 skills in this repoMz Release Signoff
MaterializeInc/materialize
Verify a release candidate on the Grafana dashboards and sign off in release.
Mz Benchmark
MaterializeInc/materialize
Add/modify/debug Materialize perf benchmark scenarios. An agent skill from MaterializeInc/materialize.
Mz Commit
MaterializeInc/materialize
Trigger: "commit", "prepare commit", "create PR", "push", "open pull request", or mentions committing, pre-commit checks, pull requests in Materialize.
Mz Dbt Release
MaterializeInc/materialize
Cut a dbt-materialize PyPI release: bump the version in version.py and setup.py, date the Unreleased CHANGELOG entry, and open the release PR with a Ship: <url body.
Mz Debug CI
MaterializeInc/materialize
Investigate CI failures on PR via gh + Buildkite MCP or bk CLI.
Mz Limits Test
MaterializeInc/materialize
Add/modify/debug limits test. An agent skill from MaterializeInc/materialize.
Related
Works with
Categories
Questions about Mz Profile
What does Mz Profile do?
Trigger: "profile Materialize", "check memory usage", "analyze binary size", "debug performance", or mentions profiling, samply, heaptrack, flame graphs, memory checking, binary size, slow queries…. Mz Profile is an agent skill from MaterializeInc/materialize. Trigger: "profile Materialize", "check memory usage", "analyze binary size", "debug performance", or mentions profiling, samply, heaptrack, flame graphs, memory checking, binary size, slow queries, high CPU/memory in Materialize.
When should I use Mz Profile?
Mz Profile fits situations like: tasks that involve Performance optimization; tasks that involve Query optimization.
How do I install Mz Profile in Claude Code?
Run `npx skills add MaterializeInc/materialize --skill mz-profile -a claude-code`. Or copy the skill folder (.agents/skills/mz-profile in MaterializeInc/materialize) into .claude/skills/mz-profile in your project. Claude Code loads it when a task matches its description.
How do I install Mz Profile in Codex?
Run `npx skills add MaterializeInc/materialize --skill mz-profile -a codex`. Or copy the skill folder (.agents/skills/mz-profile in MaterializeInc/materialize) into .agents/skills/mz-profile in your project. Codex loads it when a task matches its description.
Can I use Mz Profile 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 MaterializeInc/materialize --skill mz-profile -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mz-profile, .gemini/skills/mz-profile, .github/skills/mz-profile and .opencode/skills/mz-profile in your project.
What does Mz Profile need to run?
SKILL.md names no scripts, command-line tools or credentials: Mz Profile is instructions for the agent only.
Does Mz Profile access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Mz Profile 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 Mz Profile use?
Mz Profile 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 Mz Profile use?
About 480 tokens (SKILL.md is roughly 1.9k 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 Mz Profile?
Skills that share tags, products or a category with Mz Profile: Performance Optimization (Hack23/cia, 239 stars), Veloxdb Scalable Performance (veloxbase/veloxdb, 646 stars), Paro Optimizer (zunor/paro, 105 stars) and Database Optimizer (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mz Profile?
MaterializeInc (a GitHub organization) maintains it in MaterializeInc/materialize, which has 6,377 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 8, 2026.
Source: MaterializeInc/materialize on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.