Evolution
sickn33/agentic-awesome-skills
This skill enables makepad-skills to self-improve continuously during development.
Multi-objective Evolution of Heuristics (MEoH) method skill.
BSD-3-ClauseAuto-check passed
Install Meoh
$ npx skills add Optima-CityU/LLM4AD_Next --skill meoh -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next meoh --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/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/algo-design/meoh .claude/skills/meoh && 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 "meoh" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meoh into .claude/skills/meoh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meoh", 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/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meohType 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 Optima-CityU/LLM4AD_Next --skill meoh -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next meoh --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/algo-design/meoh .agents/skills/meoh && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meoh" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meoh into .agents/skills/meoh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meoh", 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 Optima-CityU/LLM4AD_Next --skill meoh -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next meoh --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/algo-design/meoh .cursor/skills/meoh && 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 "meoh" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meoh into .cursor/skills/meoh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meoh", 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/Optima-CityU/LLM4AD_Next.git --path skills/algo-design/meoh--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 Optima-CityU/LLM4AD_Next --skill meoh -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next meoh --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/algo-design/meoh .gemini/skills/meoh && 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 "meoh" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meoh into .gemini/skills/meoh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meoh", 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 Optima-CityU/LLM4AD_Next meohInstalls 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 Optima-CityU/LLM4AD_Next --skill meoh -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/algo-design/meoh .github/skills/meoh && 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 "meoh" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meoh into .github/skills/meoh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meoh", 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 Optima-CityU/LLM4AD_Next --skill meoh -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next meoh --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/algo-design/meoh .opencode/skills/meoh && 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 "meoh" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/meoh into .opencode/skills/meoh/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meoh", 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
meoh- GitHub stars
- 574
- Token cost
- ~661 tokens
- SKILL.md length
- 293 words
- Files
- 2
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
Multi-objective Evolution of Heuristics (MEoH) method skill.
- Works in 3 steps: Method Essence → Recommended Parameters → Acceptance Criteria
- The user explicitly requests MEoH / Multi-objective EoH
- SKILL.md covers 1. Method Essence, 2. Recommended Parameters and 4. Acceptance Criteria
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Meoh is an agent skill from Optima-CityU/LLM4AD_Next. Multi-objective Evolution of Heuristics (MEoH) method skill. USE WHEN the user explicitly requests MEoH / Multi-objective EoH, or wants Pareto-based population evolution with archive for multi-objective problems.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `params.yaml`).
The repository describes itself as: A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use. The licence is BSD-3-Clause.
When your agent uses it
- The user explicitly requests MEoH / Multi-objective EoH
- Wants Pareto-based population evolution with archive for multi-objective problems
Example prompts
- “/meoh”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e3d3f7b. 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
Meoh loads about 661 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 293 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
The full file from Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 293 words, ~661 tokens.
Download SKILL.mdSave it as
.claude/skills/meoh/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- meoh
- description
- Multi-objective Evolution of Heuristics (MEoH) method skill. USE WHEN the user explicitly requests MEoH / Multi-objective EoH, or wants Pareto-based population evolution with archive for multi-objective problems.
- triggers
- meoh, multi-objective eoh, multi-objective evolution
Multi-objective Evolution of Heuristics (MEoH) Skill
Paper: Yao et al., "Multi-objective evolution of heuristic using large language model", AAAI 2025.
1. Method Essence
MEoH extends EOH's evolutionary operators (E1/E2/M1/M2) to multi-objective scenarios: individuals are evaluated with multiple objective vectors, Pareto non-dominated sorting determines selection pressure, and a non-dominated archive maintains the historical best front. The LLM sees multiple representative individuals from the front during generation, accommodating different objective preferences.
Key differences from single-objective EOH:
- Selection is based on domination + crowding, not a single score
- Front diversity must be maintained: both ends and the middle of the front must have representatives
- Archive individuals can be "resurrected" for crossover (even if not in the current population)
2. Recommended Parameters
See params.yaml in this directory for the recommended parameter configuration.
Note: The number of objectives is determined by the length of objective_metrics, not a separate num_objs parameter.
What Happens During Evolution
- Population initialized; evaluate all individuals
- Each generation:
- Identify non-dominated front (Pareto front)
- Archive front members
- Generate offspring via LLM operators, using front members as parents
- Evaluate offspring
- Merge offspring into population
- Non-dominated sorting + crowding distance truncation
- Archive grows as better front members are found
- Final archive contains the best Pareto front discovered
Common Pitfalls
- Front not diverse → increase
population_sizeor force exploration at front ends - Archive too large → increase crowding pressure; archive pruning is automatic
- Convergence slow → check if objectives are truly conflicting; some problems may be easier with single-objective
- Front biased toward one objective → manually set extreme weight vectors as seeds
4. Acceptance Criteria
- Non-dominated front identified and archived
- Front covers both objective extremes and balanced trade-offs
- Archive members used as parents for crossover (not just current population)
- Crowding distance prevents front collapse
- Final archive represents the full Pareto front
© Optima-CityU, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/algo-design/meoh of Optima-CityU/LLM4AD_Next.
- SKILL.md
- params.yaml
Open the folder on GitHubat commit e3d3f7b
Compare with similar skills
Meoh 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 |
|---|---|---|---|---|---|---|
| Meoh this skillOptima-CityU/LLM4AD_Next | 574 | — | ~661 | Automated safety check: Pass | BSD-3-Clause | |
| Evolutionsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Modern Array Methodsthedaviddias/Front-End-Checklist | 74k | — | ~494 | Automated safety check: Pass | MIT | |
| Object Altthedaviddias/Front-End-Checklist | 74k | — | ~429 | Automated safety check: Pass | MIT | |
| Santa Methodaffaan-m/ECC | 276k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Santa Methodaffaan-m/ECC | 276k | — | ~2.1k | Automated safety check: Pass | MIT |
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thedaviddias/Front-End-Checklist
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Object Alt
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide alternative text for objects.
Santa Method
affaan-m/ECC
Multi-agent adversarial verification: two independent reviewers with the same rubric must both pass before output ships, with a fix-and-re-review convergence loop and human escalation cap.
Santa Method
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収束ループを持つマルチエージェント敵対的検証。2つの独立したレビューエージェントが両方合格して初めて出力を出荷できます。
Santa Method
affaan-m/ECC
具有收敛循环的多智能体对抗验证。两个独立的审查代理必须都通过，输出才能发送。
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Questions about Meoh
What does Meoh do?
Multi-objective Evolution of Heuristics (MEoH) method skill. Meoh is an agent skill from Optima-CityU/LLM4AD_Next. Multi-objective Evolution of Heuristics (MEoH) method skill.
When should I use Meoh?
Meoh fits situations like: the user explicitly requests MEoH / Multi-objective EoH; wants Pareto-based population evolution with archive for multi-objective problems.
How do I install Meoh in Claude Code?
Run `npx skills add Optima-CityU/LLM4AD_Next --skill meoh -a claude-code`. Or copy the skill folder (skills/algo-design/meoh in Optima-CityU/LLM4AD_Next) into .claude/skills/meoh in your project. Claude Code loads it when a task matches its description.
How do I install Meoh in Codex?
Run `npx skills add Optima-CityU/LLM4AD_Next --skill meoh -a codex`. Or copy the skill folder (skills/algo-design/meoh in Optima-CityU/LLM4AD_Next) into .agents/skills/meoh in your project. Codex loads it when a task matches its description.
Can I use Meoh 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 Optima-CityU/LLM4AD_Next --skill meoh -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meoh, .gemini/skills/meoh, .github/skills/meoh and .opencode/skills/meoh in your project.
What does Meoh need to run?
SKILL.md names no scripts, command-line tools or credentials: Meoh is instructions for the agent only.
Does Meoh 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 Meoh 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 Meoh use?
Meoh is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Meoh use?
About 661 tokens (SKILL.md is roughly 2.6k 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 Meoh?
Skills that share tags, products or a category with Meoh: Evolution (sickn33/agentic-awesome-skills, 47k stars), Modern Array Methods (thedaviddias/Front-End-Checklist, 74k stars), Object Alt (thedaviddias/Front-End-Checklist, 74k stars) and Santa Method (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meoh?
Optima-CityU (a GitHub organization) maintains it in Optima-CityU/LLM4AD_Next, which has 574 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.
Source: Optima-CityU/LLM4AD_Next on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.