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.
MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill.
BSD-3-ClauseAuto-check passed
Install Moead
$ npx skills add Optima-CityU/LLM4AD_Next --skill moead -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next moead --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/moead .claude/skills/moead && 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 "moead" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/moead into .claude/skills/moead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moead", 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/moeadType 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 moead -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next moead --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/moead .agents/skills/moead && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "moead" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/moead into .agents/skills/moead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moead", 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 moead -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next moead --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/moead .cursor/skills/moead && 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 "moead" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/moead into .cursor/skills/moead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moead", 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/moead--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 moead -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next moead --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/moead .gemini/skills/moead && 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 "moead" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/moead into .gemini/skills/moead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moead", 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 moeadInstalls 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 moead -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/moead .github/skills/moead && 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 "moead" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/moead into .github/skills/moead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moead", 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 moead -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 moead --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/moead .opencode/skills/moead && 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 "moead" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/moead into .opencode/skills/moead/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moead", 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
moead- GitHub stars
- 570
- Token cost
- ~733 tokens
- SKILL.md length
- 326 words
- Files
- 2
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill.
- Works in 3 steps: Method Essence → Recommended Parameters → Acceptance Criteria
- The user explicitly requests MOEA/D / Decomposition-based multi-objective evolution
- 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
Moead is an agent skill from Optima-CityU/LLM4AD_Next. MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill. USE WHEN the user explicitly requests MOEA/D / Decomposition-based multi-objective evolution, or wants weight-vector decomposition with neighborhood collaboration.
Its SKILL.md is about 730 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 MOEA/D / Decomposition-based multi-objective evolution
- Wants weight-vector decomposition with neighborhood collaboration
Example prompts
- “/moead”
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 1066043. 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
Moead loads about 733 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 326 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 1066043, republished under its BSD-3-Clause licence (© Optima-CityU). 326 words, ~733 tokens.
Download SKILL.mdSave it as
.claude/skills/moead/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- moead
- description
- MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill. USE WHEN the user explicitly requests MOEA/D / Decomposition-based multi-objective evolution, or wants weight-vector decomposition with neighborhood collaboration.
- triggers
- moead, moea/d, decomposition-based, weight vector decomposition
MOEA/D Skill
Paper: Zhang & Li, "MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition", IEEE TEC 2007.
1. Method Essence
MOEA/D decomposes a multi-objective problem into N single-objective sub-problems: each sub-problem is defined by a weight vector + aggregation function (weighted sum / Tchebycheff), and the entire population = a set of uniformly distributed weight vectors. Core mechanisms:
- Sub-problem division: Each weight vector corresponds to a direction on the front; the population collectively covers the entire front
- Neighborhood collaboration: Each sub-problem exchanges information only with its T nearest weight vectors (neighbors) — crossover/mutation occurs mainly between neighboring sub-problems, replacing global pairing
- Aggregation function: Tchebycheff
max_i w_i |f_i - z_i|(z is reference point) is effective for non-convex fronts and is commonly used - Update rule: If a new individual improves the aggregation value for its sub-problem, it replaces that sub-problem and its neighbors' solutions
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. Weight vectors are generated in this dimensional space.
What Happens During Evolution
- Generate uniform weight vectors in objective space
- Initialize population (one solution per weight vector)
- Each generation:
- For each sub-problem (weight vector):
- Select parents from neighborhood
- Generate offspring via LLM operators
- Evaluate offspring
- Update sub-problem and neighbors if offspring improves aggregation
- For each sub-problem (weight vector):
- Weight vectors define search directions; population covers the front uniformly
- Final front is the set of best solutions for each weight vector
Common Pitfalls
- Front has gaps → increase
population_size(more weight vectors) - Convergence uneven → check weight vector distribution; some directions may be harder
- All solutions clustered → reduce neighborhood size T for more local search
- Non-convex front → Tchebycheff aggregation works better than weighted sum
4. Acceptance Criteria
- Weight vectors uniformly distributed in objective space
- Each sub-problem has a corresponding solution on the front
- Front covers all weight vector directions (no missing regions)
- Neighborhood collaboration visible (solutions from nearby weights share features)
- Final front represents the full trade-off surface
© 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/moead of Optima-CityU/LLM4AD_Next.
- SKILL.md
- params.yaml
Open the folder on GitHubat commit 1066043
Compare with similar skills
Moead 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 |
|---|---|---|---|---|---|---|
| Moead this skillOptima-CityU/LLM4AD_Next | 570 | — | ~733 | Automated safety check: Pass | BSD-3-Clause | |
| Object Altthedaviddias/Front-End-Checklist | 74k | — | ~429 | Automated safety check: Pass | MIT | |
| Algorithmic Art with p5.jsanthropics/skills | 180k | 38 repos | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Object Storagesickn33/agentic-awesome-skills | 47k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| AlgorithmSnailclimb/interview-guide | 3.3k | — | ~129 | Automated safety check: Pass | AGPL-3.0 | |
| Algorithmic Artnexu-io/open-design | 100k | — | ~351 | Automated safety check: Pass | Apache-2.0 |
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Questions about Moead
What does Moead do?
MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill. Moead is an agent skill from Optima-CityU/LLM4AD_Next. MOEA/D (Multi-objective Evolutionary Algorithm based on Decomposition) method skill.
When should I use Moead?
Moead fits situations like: the user explicitly requests MOEA/D / Decomposition-based multi-objective evolution; wants weight-vector decomposition with neighborhood collaboration.
How do I install Moead in Claude Code?
Run `npx skills add Optima-CityU/LLM4AD_Next --skill moead -a claude-code`. Or copy the skill folder (skills/algo-design/moead in Optima-CityU/LLM4AD_Next) into .claude/skills/moead in your project. Claude Code loads it when a task matches its description.
How do I install Moead in Codex?
Run `npx skills add Optima-CityU/LLM4AD_Next --skill moead -a codex`. Or copy the skill folder (skills/algo-design/moead in Optima-CityU/LLM4AD_Next) into .agents/skills/moead in your project. Codex loads it when a task matches its description.
Can I use Moead 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 moead -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moead, .gemini/skills/moead, .github/skills/moead and .opencode/skills/moead in your project.
What does Moead need to run?
SKILL.md names no scripts, command-line tools or credentials: Moead is instructions for the agent only.
Does Moead 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 Moead 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 Moead use?
Moead 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 Moead use?
About 733 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 Moead?
Skills that share tags, products or a category with Moead: Object Alt (thedaviddias/Front-End-Checklist, 74k stars), Algorithmic Art with p5.js (anthropics/skills, 180k stars), Object Storage (sickn33/agentic-awesome-skills, 47k stars) and Algorithm (Snailclimb/interview-guide, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Moead?
Optima-CityU (a GitHub organization) maintains it in Optima-CityU/LLM4AD_Next, which has 570 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 3, 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.