Skill Creator
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults.
Install Meta Optimize
$ npx skills add AI4Scientist/nano-scientist --skill meta-optimize -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist meta-optimize --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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/meta-optimize .claude/skills/meta-optimize && 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 "meta-optimize" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/meta-optimize into .claude/skills/meta-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-optimize", 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/AI4Scientist/nano-scientist/tree/main/skills/meta-optimizeType 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 AI4Scientist/nano-scientist --skill meta-optimize -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist meta-optimize --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/meta-optimize .agents/skills/meta-optimize && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-optimize" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/meta-optimize into .agents/skills/meta-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-optimize", 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 AI4Scientist/nano-scientist --skill meta-optimize -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist meta-optimize --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/meta-optimize .cursor/skills/meta-optimize && 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 "meta-optimize" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/meta-optimize into .cursor/skills/meta-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-optimize", 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/AI4Scientist/nano-scientist.git --path skills/meta-optimize--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 AI4Scientist/nano-scientist --skill meta-optimize -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist meta-optimize --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/meta-optimize .gemini/skills/meta-optimize && 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 "meta-optimize" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/meta-optimize into .gemini/skills/meta-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-optimize", 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 AI4Scientist/nano-scientist meta-optimizeInstalls 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 AI4Scientist/nano-scientist --skill meta-optimize -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/meta-optimize .github/skills/meta-optimize && 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 "meta-optimize" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/meta-optimize into .github/skills/meta-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-optimize", 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 AI4Scientist/nano-scientist --skill meta-optimize -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist meta-optimize --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/meta-optimize .opencode/skills/meta-optimize && 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 "meta-optimize" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/meta-optimize into .opencode/skills/meta-optimize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-optimize", 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
meta-optimize- GitHub stars
- 128
- Used in
- 3 other repos
- Token cost
- ~2.7k tokens
- SKILL.md length
- 830 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults.
- Works in 7 steps: Check Data Availability → Analyze Usage Patterns → Identify Optimization Targets → …
- Wants to optimize ARISs own harness components based on accumulated experience
- SKILL.md covers Context, What This Skill Optimizes…, Prerequisites and Workflow, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Meta Optimize is an agent skill from AI4Scientist/nano-scientist. Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.
Its SKILL.md is about 2.7k 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 Agent Workflows, covering Skill authoring. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- Wants to optimize ARISs own harness components based on accumulated experience
- Tasks that involve Skill authoring
Example prompts
- “meta optimize”
- “improve skills”
- “分析使用记录”
- “/meta-optimize”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Grep, Glob, Agent, mcp__codex__codex, mcp__codex__codex-reply
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Check Data Availability
- Analyze Usage Patterns
- Identify Optimization Targets
- Generate Patch Proposals
- Cross-Model Review of Patches
- Present Results
- Apply Changes (if user approves)
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. 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:
Bash(*)ReadWriteEditGrepGlobAgentmcp__codex__codexmcp__codex__codex-reply
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown, bash, diff and jsonl).
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):
arxiv.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
Meta Optimize loads about 2.7k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 830 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: 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: Bash(*), Read, Write, Edit, Grep, Glob, Agent, mcp__codex__codex, mcp__codex__codex-reply
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 830 words (~2,748 tokens).
“Analyze accumulated usage logs and propose optimizations for: $ARGUMENTS”
- name
- meta-optimize
- allowed-tools
- Bash(*), Read, Write, Edit, Grep, Glob, Agent, mcp__codex__codex, mcp__codex__codex-reply
- argument-hint
- target-skill-or-all
Files
Just SKILL.md in skills/meta-optimize of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 3 other repositories
We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Meta Optimize 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 |
|---|---|---|---|---|---|---|
| Meta Optimize this skillAI4Scientist/nano-scientist | 128 | 3 repos | ~2.7k | Automated safety check: Notes | None | |
| Skill CreatorAzure/azqr | 795 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase | 10k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Claude Code Command Developmentanthropics/claude-plugins-official | 38k | 10 repos | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Plugin Structureanthropics/claude-plugins-official | 38k | 10 repos | ~3.4k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Claude Code Skill Developer Guide
diet103/claude-code-infrastructure-showcase
A guide to creating and managing Claude Code skills with auto-activation: skill-rules.json triggers, hooks, enforcement levels, YAML frontmatter and progressive disclosure.
Darwin Skill Optimizer
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
- Official
Claude Code Command Development
anthropics/claude-plugins-official
Explains how to write Claude Code slash commands: Markdown files with YAML frontmatter, arguments, file references, bash context and interactive prompts.
- Official
Claude Code Plugin Structure
anthropics/claude-plugins-official
Explains the directory layout, plugin.json manifest and component organization of a Claude Code plugin, including auto-discovery and portable paths.
Skill Release Gate
rohitg00/ai-engineering-from-scratch
Evaluates an Agent Skill bundle before release for structure, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity and host portability.
More from AI4Scientist/nano-scientist
All 75 skills in this repoFormula Derivation
AI4Scientist/nano-scientist
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a…
Paper Figure
AI4Scientist/nano-scientist
Generate publication-quality figures and tables from experiment results.
Proof Writer
AI4Scientist/nano-scientist
Writes rigorous mathematical proofs for ML/AI theory. An agent skill from AI4Scientist/nano-scientist.
Ablation Planner
AI4Scientist/nano-scientist
A skill your agent uses when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission.
Paper Navigator
AI4Scientist/nano-scientist
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…
Arxiv
AI4Scientist/nano-scientist
Search, download, and summarize academic papers from arXiv. An agent skill from AI4Scientist/nano-scientist.
Related
Categories
Questions about Meta Optimize
What does Meta Optimize do?
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Meta Optimize is an agent skill from AI4Scientist/nano-scientist.md files, reviewer prompts, and workflow defaults.
When should I use Meta Optimize?
Meta Optimize fits situations like: wants to optimize ARISs own harness components based on accumulated experience; tasks that involve Skill authoring.
How do I install Meta Optimize in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill meta-optimize -a claude-code`. Or copy the skill folder (skills/meta-optimize in AI4Scientist/nano-scientist) into .claude/skills/meta-optimize in your project. Claude Code loads it when a task matches its description.
How do I install Meta Optimize in Codex?
Run `npx skills add AI4Scientist/nano-scientist --skill meta-optimize -a codex`. Or copy the skill folder (skills/meta-optimize in AI4Scientist/nano-scientist) into .agents/skills/meta-optimize in your project. Codex loads it when a task matches its description.
Can I use Meta Optimize 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 AI4Scientist/nano-scientist --skill meta-optimize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-optimize, .gemini/skills/meta-optimize, .github/skills/meta-optimize and .opencode/skills/meta-optimize in your project.
What does Meta Optimize need to run?
SKILL.md names no scripts, command-line tools or credentials: Meta Optimize is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent, mcp__codex__codex, mcp__codex__codex-reply.
Does Meta Optimize access the network?
SKILL.md names 1 domain. As links in the text: arxiv.org. This is read from the text; nothing was executed.
Is Meta Optimize 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 Meta Optimize use?
No licence was found for Meta Optimize or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Meta Optimize use?
About 2.7k tokens (SKILL.md is roughly 11k 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 Meta Optimize?
Skills that share tags, products or a category with Meta Optimize: Skill Creator (Azure/azqr, 795 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Claude Code Command Development (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meta Optimize?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.