Running Clustering Algorithms
jeremylongshore/tons-of-skills-marketplace
Analyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups.
DyCA (Dynamic Clustering Algorithm) method skill. An agent skill from Optima-CityU/LLM4AD_Next.
$ npx skills add Optima-CityU/LLM4AD_Next --skill dyca -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next dyca --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/dyca .claude/skills/dyca && 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 "dyca" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/dyca into .claude/skills/dyca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dyca", 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/dycaType 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 dyca -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next dyca --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/dyca .agents/skills/dyca && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dyca" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/dyca into .agents/skills/dyca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dyca", 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 dyca -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next dyca --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/dyca .cursor/skills/dyca && 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 "dyca" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/dyca into .cursor/skills/dyca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dyca", 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/dyca--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 dyca -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next dyca --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/dyca .gemini/skills/dyca && 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 "dyca" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/dyca into .gemini/skills/dyca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dyca", 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 dycaInstalls 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 dyca -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/dyca .github/skills/dyca && 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 "dyca" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/dyca into .github/skills/dyca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dyca", 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 dyca -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 dyca --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/dyca .opencode/skills/dyca && 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 "dyca" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/algo-design/dyca into .opencode/skills/dyca/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dyca", 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.
dycaDyCA (Dynamic Clustering Algorithm) method skill. An agent skill from Optima-CityU/LLM4AD_Next.
Dyca is an agent skill from Optima-CityU/LLM4AD_Next. DyCA (Dynamic Clustering Algorithm) method skill. USE WHEN the user explicitly requests DyCA / dynamic clustering adaptive evolution, or wants instance-aware search that clusters problem instances and allocates specialized algorithm pools via dynamic reclustering and resource allocation.
Its SKILL.md is about 740 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e3d3f7b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dyca loads about 738 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 289 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.
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.
The full file from Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 289 words, ~738 tokens.
.claude/skills/dyca/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Reference: LLM4AD_Next instance-aware multi-pool evolution model (DyCA, Dynamic Clustering Algorithm).
DyCA is an instance-aware search method. Instead of treating all problem instances uniformly, it dynamically partitions the training instances into clusters and maintains heterogeneous algorithm pools specialized to those clusters. The search then allocates LLM effort across pools based on observed difficulty and cluster stability.
Three heterogeneous pools:
| Pool | Role |
|---|---|
| Generalist pool | Global best algorithms that perform well across all clusters |
| Specialist pools | Per-cluster optimized algorithms (one pool per cluster) |
| Complementary pool | Cross-cluster diversity algorithms that complement others |
Core mechanisms:
See params.yaml in this directory for the recommended parameter configuration.
n_anchors anchor algorithmsclustering_method into n_clusters clustersrecluster_interval generations, check ARI stability; recluster if unstableoffspring_per_generation new individualssos_stagnation_threshold generationsusing_mode=true freezes clustering and runs only specialist evolution (mature clusters)n_clustersrecluster_interval / lower ari_thresholdn_anchorsbase_complementary_ratiousing_mode to stop reclustering© 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
SKILL.md and 1 other file in skills/algo-design/dyca of Optima-CityU/LLM4AD_Next.
Open the folder on GitHubat commit e3d3f7b
Dyca 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 |
|---|---|---|---|---|---|---|
| Dyca this skillOptima-CityU/LLM4AD_Next | 574 | — | ~738 | Automated safety check: Pass | BSD-3-Clause | |
| Running Clustering Algorithmsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | Automated safety check: Pass | MIT | |
| No Explicit Anythedaviddias/Front-End-Checklist | 74k | — | ~565 | Automated safety check: Pass | MIT | |
| Vector Clusterruvnet/ruflo | 74k | — | ~540 | Automated safety check: Notes | MIT | |
| Dynamic Workflow Modeaffaan-m/ECC | 276k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Algorithmic Art with p5.jsanthropics/skills | 180k | 38 repos | ~4.9k | Automated safety check: Pass | Apache-2.0 |
jeremylongshore/tons-of-skills-marketplace
Analyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing TypeScript files for type safety regressions, during code review of functions that handle external data, or when the codebase has ESLint warnings for…
ruvnet/ruflo
Cluster code by graph community detection via npx ruvector@0.2.25 hooks graph-cluster (spectral / Louvain)
affaan-m/ECC
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
anthropics/skills
Creates original generative art in two steps: a written algorithmic philosophy, then a p5.js sketch with seeded randomness and an interactive viewer for exploring parameters.
K-Dense-AI/scientific-agent-skills
Runs and analyzes molecular dynamics simulations with OpenMM and MDAnalysis.
Optima-CityU/LLM4AD_Next
A skill your agent uses when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
Optima-CityU/LLM4AD_Next
A skill your agent uses when a user wants to build an LLM4ADNext task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem.
Optima-CityU/LLM4AD_Next
Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.
Optima-CityU/LLM4AD_Next
A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.
Optima-CityU/LLM4AD_Next
A skill your agent uses when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.
Optima-CityU/LLM4AD_Next
A skill your agent uses when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
DyCA (Dynamic Clustering Algorithm) method skill. An agent skill from Optima-CityU/LLM4AD_Next. Dyca is an agent skill from Optima-CityU/LLM4AD_Next. DyCA (Dynamic Clustering Algorithm) method skill.
Dyca fits situations like: the user explicitly requests DyCA / dynamic clustering adaptive evolution.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill dyca -a claude-code`. Or copy the skill folder (skills/algo-design/dyca in Optima-CityU/LLM4AD_Next) into .claude/skills/dyca in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill dyca -a codex`. Or copy the skill folder (skills/algo-design/dyca in Optima-CityU/LLM4AD_Next) into .agents/skills/dyca in your project. Codex loads it when a task matches its description.
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 dyca -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dyca, .gemini/skills/dyca, .github/skills/dyca and .opencode/skills/dyca in your project.
SKILL.md names no scripts, command-line tools or credentials: Dyca is instructions for the agent only.
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.
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.
Dyca 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.
About 738 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dyca: Running Clustering Algorithms (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), No Explicit Any (thedaviddias/Front-End-Checklist, 74k stars), Vector Cluster (ruvnet/ruflo, 74k stars) and Dynamic Workflow Mode (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.