Xray UI Dev
bropines/xray-config-ui-editor
Development and maintenance of Xray Config UI Editor. An agent skill from bropines/xray-config-ui-editor.
Architect large or state-heavy Langfuse frontend features. An agent skill from langfuse/langfuse.
Install Frontend Large Feature Architecture
$ npx skills add langfuse/langfuse --skill frontend-large-feature-architecture -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langfuse/langfuse frontend-large-feature-architecture --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/langfuse/langfuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/frontend-large-feature-architecture .claude/skills/frontend-large-feature-architecture && 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 "frontend-large-feature-architecture" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architecture into .claude/skills/frontend-large-feature-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-large-feature-architecture", 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/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architectureType 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 langfuse/langfuse --skill frontend-large-feature-architecture -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langfuse/langfuse frontend-large-feature-architecture --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/frontend-large-feature-architecture .agents/skills/frontend-large-feature-architecture && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frontend-large-feature-architecture" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architecture into .agents/skills/frontend-large-feature-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-large-feature-architecture", 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 langfuse/langfuse --skill frontend-large-feature-architecture -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langfuse/langfuse frontend-large-feature-architecture --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/frontend-large-feature-architecture .cursor/skills/frontend-large-feature-architecture && 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 "frontend-large-feature-architecture" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architecture into .cursor/skills/frontend-large-feature-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-large-feature-architecture", 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/langfuse/langfuse.git --path .agents/skills/frontend-large-feature-architecture--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 langfuse/langfuse --skill frontend-large-feature-architecture -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langfuse/langfuse frontend-large-feature-architecture --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/frontend-large-feature-architecture .gemini/skills/frontend-large-feature-architecture && 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 "frontend-large-feature-architecture" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architecture into .gemini/skills/frontend-large-feature-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-large-feature-architecture", 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 langfuse/langfuse frontend-large-feature-architectureInstalls 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 langfuse/langfuse --skill frontend-large-feature-architecture -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/frontend-large-feature-architecture .github/skills/frontend-large-feature-architecture && 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 "frontend-large-feature-architecture" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architecture into .github/skills/frontend-large-feature-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-large-feature-architecture", 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 langfuse/langfuse --skill frontend-large-feature-architecture -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langfuse/langfuse frontend-large-feature-architecture --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langfuse/langfuse.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/frontend-large-feature-architecture .opencode/skills/frontend-large-feature-architecture && 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 "frontend-large-feature-architecture" agent skill from https://github.com/langfuse/langfuse/tree/main/.agents/skills/frontend-large-feature-architecture into .opencode/skills/frontend-large-feature-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-large-feature-architecture", 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
frontend-large-feature-architecture- GitHub stars
- 36k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 638 words
- Files
- 8 (incl. references)
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Architect large or state-heavy Langfuse frontend features. An agent skill from langfuse/langfuse.
- Virtualized lists
- SKILL.md covers Big Feature Rules, React Without useEffect, Required Model and Local Store Default, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- High-frequency state
What it does
Frontend Large Feature Architecture is an agent skill from langfuse/langfuse. Architect large or state-heavy Langfuse frontend features. Use for virtualized lists, large tables, controllers, Zustand stores, row selection, high-frequency state, rendering performance, or before adding useEffect, useMemo, useCallback, or form defaults derived from loaded data.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `agents/openai.yaml`, `references/big-feature-rules.md` and `references/controller-migration.md`).
It sits in Frontend & Design, covering LLM observability and State management. It works with Langfuse, Zustand and React. The repository describes itself as: 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
When your agent uses it
- Virtualized lists
- High-frequency state
- Rendering performance
- Before adding useEffect
Example prompts
- “/frontend-large-feature-architecture”
What it can do on your machine
Read from SKILL.md and the folder at commit 389f393. 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
Frontend Large Feature Architecture loads about 1.4k tokens when it runs, and up to ~9.4k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 638 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 638 words (~1,374 tokens).
“Use this skill when building, changing, or refactoring a large frontend surface.”
- name
- frontend-large-feature-architecture
Files
SKILL.md and 7 other files (references) in .agents/skills/frontend-large-feature-architecture of langfuse/langfuse.
- SKILL.md
- agents/openai.yaml
- references/big-feature-rules.md
- references/controller-migration.md
- references/feature-readmes.md
- references/local-feature-state.md
- references/react-without-useeffect.md
- references/virtualized-lists.md
Open the folder on GitHubat commit 389f393
Compare with similar skills
Frontend Large Feature Architecture 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 |
|---|---|---|---|---|---|---|
| Frontend Large Feature Architecture this skilllangfuse/langfuse | 36k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Xray UI Devbropines/xray-config-ui-editor | 119 | — | ~942 | Automated safety check: Pass | MIT | |
| Opik Frontend Patternscomet-ml/opik | 22k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Zustand Store Patternsstellar/laboratory | 112 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| State Managementemanueleielo/deepagents-open-lovable | 111 | — | ~1.7k | Automated safety check: Pass | None | |
| React ExpertJeffallan/claude-skills | 12k | — | ~1.4k | Automated safety check: Pass | MIT |
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comet-ml/opik
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Zustand Store Patterns
stellar/laboratory
Reference for the two Zustand store patterns in Stellar Lab — main store (querystring) and transaction flow store (sessionStorage).
State Management
emanueleielo/deepagents-open-lovable
State management patterns - Zustand, Jotai, Context. An agent skill from emanueleielo/deepagents-open-lovable.
React Expert
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Builds React 19 components in TypeScript with Server Components, useActionState forms, custom hooks and state libraries, checked with tsc and React Testing Library.
- Official
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Create React Flow node components with TypeScript types, handles, and Zustand integration.
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Related
Categories
Questions about Frontend Large Feature Architecture
What does Frontend Large Feature Architecture do?
Architect large or state-heavy Langfuse frontend features. An agent skill from langfuse/langfuse. Frontend Large Feature Architecture is an agent skill from langfuse/langfuse. Architect large or state-heavy Langfuse frontend features.
When should I use Frontend Large Feature Architecture?
Frontend Large Feature Architecture fits situations like: virtualized lists; high-frequency state; rendering performance; before adding useEffect.
How do I install Frontend Large Feature Architecture in Claude Code?
Run `npx skills add langfuse/langfuse --skill frontend-large-feature-architecture -a claude-code`. Or copy the skill folder (.agents/skills/frontend-large-feature-architecture in langfuse/langfuse) into .claude/skills/frontend-large-feature-architecture in your project. Claude Code loads it when a task matches its description.
How do I install Frontend Large Feature Architecture in Codex?
Run `npx skills add langfuse/langfuse --skill frontend-large-feature-architecture -a codex`. Or copy the skill folder (.agents/skills/frontend-large-feature-architecture in langfuse/langfuse) into .agents/skills/frontend-large-feature-architecture in your project. Codex loads it when a task matches its description.
Can I use Frontend Large Feature Architecture 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 langfuse/langfuse --skill frontend-large-feature-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontend-large-feature-architecture, .gemini/skills/frontend-large-feature-architecture, .github/skills/frontend-large-feature-architecture and .opencode/skills/frontend-large-feature-architecture in your project.
What does Frontend Large Feature Architecture need to run?
SKILL.md names no scripts, command-line tools or credentials: Frontend Large Feature Architecture is instructions for the agent only.
Does Frontend Large Feature Architecture 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 Frontend Large Feature Architecture 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 Frontend Large Feature Architecture use?
Frontend Large Feature Architecture 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 Frontend Large Feature Architecture use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8k tokens, read only when the agent opens those files.
What are the alternatives to Frontend Large Feature Architecture?
Skills that share tags, products or a category with Frontend Large Feature Architecture: Xray UI Dev (bropines/xray-config-ui-editor, 119 stars), Opik Frontend Patterns (comet-ml/opik, 22k stars), Zustand Store Patterns (stellar/laboratory, 112 stars) and State Management (emanueleielo/deepagents-open-lovable, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Frontend Large Feature Architecture?
langfuse (a GitHub organization) maintains it in langfuse/langfuse, which has 35,555 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 9, 2026.
Source: langfuse/langfuse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.