Filter
zalando/skipper
Create or modify code in the filters package and all its sub-folders
Filter the full DB universe (~8898 names) down to a tractable candidate set using liquidity, factor-score, drop-correlated and sector-cap enums before optimization.
Custom licenceAuto-check passed
Install Universe Preselection
$ npx skills add SilvioBaratto/optimizer --skill universe-preselection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SilvioBaratto/optimizer universe-preselection --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/SilvioBaratto/optimizer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/fund/src/fund/skills/universe-preselection .claude/skills/universe-preselection && 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 "universe-preselection" agent skill from https://github.com/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselection into .claude/skills/universe-preselection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "universe-preselection", 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/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselectionType 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 SilvioBaratto/optimizer --skill universe-preselection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SilvioBaratto/optimizer universe-preselection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SilvioBaratto/optimizer.git skills-src && mkdir -p .agents/skills && cp -r skills-src/fund/src/fund/skills/universe-preselection .agents/skills/universe-preselection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "universe-preselection" agent skill from https://github.com/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselection into .agents/skills/universe-preselection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "universe-preselection", 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 SilvioBaratto/optimizer --skill universe-preselection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SilvioBaratto/optimizer universe-preselection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SilvioBaratto/optimizer.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/fund/src/fund/skills/universe-preselection .cursor/skills/universe-preselection && 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 "universe-preselection" agent skill from https://github.com/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselection into .cursor/skills/universe-preselection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "universe-preselection", 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/SilvioBaratto/optimizer.git --path fund/src/fund/skills/universe-preselection--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 SilvioBaratto/optimizer --skill universe-preselection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SilvioBaratto/optimizer universe-preselection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SilvioBaratto/optimizer.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/fund/src/fund/skills/universe-preselection .gemini/skills/universe-preselection && 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 "universe-preselection" agent skill from https://github.com/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselection into .gemini/skills/universe-preselection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "universe-preselection", 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 SilvioBaratto/optimizer universe-preselectionInstalls 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 SilvioBaratto/optimizer --skill universe-preselection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SilvioBaratto/optimizer.git skills-src && mkdir -p .github/skills && cp -r skills-src/fund/src/fund/skills/universe-preselection .github/skills/universe-preselection && 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 "universe-preselection" agent skill from https://github.com/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselection into .github/skills/universe-preselection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "universe-preselection", 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 SilvioBaratto/optimizer --skill universe-preselection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SilvioBaratto/optimizer universe-preselection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SilvioBaratto/optimizer.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/fund/src/fund/skills/universe-preselection .opencode/skills/universe-preselection && 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 "universe-preselection" agent skill from https://github.com/SilvioBaratto/optimizer/tree/development/fund/src/fund/skills/universe-preselection into .opencode/skills/universe-preselection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "universe-preselection", 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
universe-preselection- GitHub stars
- 176
- Token cost
- ~412 tokens
- SKILL.md length
- 167 words
- Files
- 2
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Filter the full DB universe (~8898 names) down to a tractable candidate set using liquidity, factor-score, drop-correlated and sector-cap enums before optimization.
- Works in 4 steps: Choose filters from the ConstraintSet +… → Call universe_filter(criteria) for the… → Call estimate_moments(returns_asof,… → …
- The allocator must scope the universe for a run
- SKILL.md covers When to use, Load-bearing rule, Procedure and Boundaries, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Universe Preselection is an agent skill from SilvioBaratto/optimizer. Filter the full DB universe (~8898 names) down to a tractable candidate set using liquidity, factor-score, drop-correlated and sector-cap enums before optimization. Use when the allocator must scope the universe for a run. Emits filter enums and thresholds only — never a hand-picked ticker list and never weights.
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).
The repository describes itself as: Quantitative portfolio construction and optimization platform built on skfolio and scikit-learn.
When your agent uses it
- The allocator must scope the universe for a run
Example prompts
- “/universe-preselection”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Choose filters from the ConstraintSet + regime (see reference.md): liquidity
- Call universe_filter(criteria) for the candidate list (big frames stay in the
- Call estimate_moments(returns_asof, universe, config) for mu/cov on the subset.
- Hand the candidate set + moments to optimization-objective-map.
What it can do on your machine
Read from SKILL.md and the folder at commit 63e897b. 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
Universe Preselection loads about 412 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 167 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 167 words (~412 tokens).
“The allocator's first step: shrink ~8898 names to a well-conditioned candidate set so the optimizer is stable. The LLM chooses the FILTERS; the pipeline applies them.”
- name
- universe-preselection
Files
SKILL.md and 1 other file in fund/src/fund/skills/universe-preselection of SilvioBaratto/optimizer.
- SKILL.md
- reference.md
Open the folder on GitHubat commit 63e897b
Compare with similar skills
Universe Preselection 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 |
|---|---|---|---|---|---|---|
| Universe Preselection this skillSilvioBaratto/optimizer | 176 | — | ~412 | Automated safety check: Pass | Custom licence | |
| Filterzalando/skipper | 3.3k | — | ~527 | Automated safety check: Pass | MIT | |
| Git Branch Namingmakeplane/plane | 61k | — | ~594 | Automated safety check: Pass | AGPL-3.0 | |
| Naming Conventionsthedaviddias/Front-End-Checklist | 74k | — | ~481 | Automated safety check: Pass | MIT | |
| Button Namethedaviddias/Front-End-Checklist | 74k | — | ~488 | Automated safety check: Pass | MIT | |
| Select Namethedaviddias/Front-End-Checklist | 74k | — | ~451 | Automated safety check: Pass | MIT |
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Questions about Universe Preselection
What does Universe Preselection do?
Filter the full DB universe (~8898 names) down to a tractable candidate set using liquidity, factor-score, drop-correlated and sector-cap enums before optimization. Universe Preselection is an agent skill from SilvioBaratto/optimizer. Filter the full DB universe (~8898 names) down to a tractable candidate set using liquidity, factor-score, drop-correlated and sector-cap enums before optimization.
When should I use Universe Preselection?
Universe Preselection fits situations like: the allocator must scope the universe for a run.
How do I install Universe Preselection in Claude Code?
Run `npx skills add SilvioBaratto/optimizer --skill universe-preselection -a claude-code`. Or copy the skill folder (fund/src/fund/skills/universe-preselection in SilvioBaratto/optimizer) into .claude/skills/universe-preselection in your project. Claude Code loads it when a task matches its description.
How do I install Universe Preselection in Codex?
Run `npx skills add SilvioBaratto/optimizer --skill universe-preselection -a codex`. Or copy the skill folder (fund/src/fund/skills/universe-preselection in SilvioBaratto/optimizer) into .agents/skills/universe-preselection in your project. Codex loads it when a task matches its description.
Can I use Universe Preselection 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 SilvioBaratto/optimizer --skill universe-preselection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/universe-preselection, .gemini/skills/universe-preselection, .github/skills/universe-preselection and .opencode/skills/universe-preselection in your project.
What does Universe Preselection need to run?
SKILL.md names no scripts, command-line tools or credentials: Universe Preselection is instructions for the agent only.
Does Universe Preselection 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 Universe Preselection 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 Universe Preselection use?
Universe Preselection 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 Universe Preselection use?
About 412 tokens (SKILL.md is roughly 1.6k 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 Universe Preselection?
Skills that share tags, products or a category with Universe Preselection: Filter (zalando/skipper, 3.3k stars), Git Branch Naming (makeplane/plane, 61k stars), Naming Conventions (thedaviddias/Front-End-Checklist, 74k stars) and Button Name (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Universe Preselection?
SilvioBaratto (a GitHub user) maintains it in SilvioBaratto/optimizer, which has 176 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 7, 2026.
Source: SilvioBaratto/optimizer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.