Kampsy UI
kampsy/ui
Consumer guide to build UIs with kampsy-ui (Svelte 5 + Tailwind v4, Geist-inspired).
Read when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth…
$ npx skills add WeaveMindAI/weft --skill weft-frontend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WeaveMindAI/weft weft-frontend --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/WeaveMindAI/weft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-frontend .claude/skills/weft-frontend && 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 "weft-frontend" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontend into .claude/skills/weft-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-frontend", 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/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontendType 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 WeaveMindAI/weft --skill weft-frontend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WeaveMindAI/weft weft-frontend --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-frontend .agents/skills/weft-frontend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weft-frontend" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontend into .agents/skills/weft-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-frontend", 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 WeaveMindAI/weft --skill weft-frontend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WeaveMindAI/weft weft-frontend --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-frontend .cursor/skills/weft-frontend && 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 "weft-frontend" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontend into .cursor/skills/weft-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-frontend", 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/WeaveMindAI/weft.git --path tangle/cline/.cline/skills/weft-frontend--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 WeaveMindAI/weft --skill weft-frontend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WeaveMindAI/weft weft-frontend --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-frontend .gemini/skills/weft-frontend && 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 "weft-frontend" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontend into .gemini/skills/weft-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-frontend", 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 WeaveMindAI/weft weft-frontendInstalls 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 WeaveMindAI/weft --skill weft-frontend -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .github/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-frontend .github/skills/weft-frontend && 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 "weft-frontend" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontend into .github/skills/weft-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-frontend", 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 WeaveMindAI/weft --skill weft-frontend -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WeaveMindAI/weft weft-frontend --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-frontend .opencode/skills/weft-frontend && 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 "weft-frontend" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-frontend into .opencode/skills/weft-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-frontend", 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.
weft-frontendRead when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth…
Weft Frontend is an agent skill from WeaveMindAI/weft. Read when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth, shadcn-svelte), calling the program's own routes and signal doors, the three variables that say where the program is, one shared PostgreSQL, where the api token lives, pictures as links, the build and its Dockerfile, and the shape for a site whose people each bring their own accounts or settings (the manager routes…
Its SKILL.md is about 8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Frontend & Design, covering Design systems and Containers. It works with PostgreSQL, Svelte, shadcn/ui and pnpm. The repository describes itself as: A programming language for AI orchestrations.
Read from SKILL.md and the folder at commit 6e28f31. 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.
Shell commands in SKILL.md call:
pnpmnodeopensslFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
shadcn-svelte.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
WEFT_TOKENBETTER_AUTH_SECRETDATABASE_PASSWORDWEFT_ROUTE_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Weft Frontend loads about 8k tokens when it runs. Until then it costs about 145 tokens; SKILL.md has 3,948 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 noted patterns worth knowing about, such as sudo or a known installer.
t `src/lib/server/auth.ts`, reads `front/.env` therand -base64 32`) and write into `front/.env`. A build doesOn this machine they live in `front/.env`; on a cloud install the deployronment. The built server does not read `.env`, so if yourun it by hand, run `node --env-file=.env build`.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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 3,948 words (~8,023 tokens).
“[the frontend] is the pages where a person starts a run, answers a parked question, or reads what came out. It lives in front/, with its own toolchain, as a client of [the program], never a second backend. [the program]…”
Just SKILL.md in tangle/cline/.cline/skills/weft-frontend of WeaveMindAI/weft.
Open the folder on GitHubat commit 6e28f31
Weft Frontend 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 |
|---|---|---|---|---|---|---|
| Weft Frontend this skillWeaveMindAI/weft | 2k | — | ~8k | Automated safety check: Notes | Custom licence | |
| Kampsy UIkampsy/ui | 288 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Frontend Guidelightly-ai/lightly-studio | 896 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Worklog Designregisx001/Worklog | 261 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Veloxdb Scalable Performanceveloxbase/veloxdb | 646 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT |
kampsy/ui
Consumer guide to build UIs with kampsy-ui (Svelte 5 + Tailwind v4, Geist-inspired).
lightly-ai/lightly-studio
Read before writing or reviewing any frontend code in lightlystudioview - Svelte, TypeScript, or SvelteKit files.
regisx001/Worklog
Design and UI skill for the Worklog desktop project manager.
veloxbase/veloxdb
Guides scalability and performance work for VeloxDB's Tauri + Rust PostgreSQL backend and React + TanStack frontend.
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
crafter-station/petdex
Helps implement coss UI components correctly. An agent skill from crafter-station/petdex.
WeaveMindAI/weft
Read when the user wants weft itself on their Google Cloud for the first time, or to upgrade or resize the weft already there: getting the user's GitHub and Google Cloud accounts and CLIs ready, the…
WeaveMindAI/weft
Read when the user wants their own website, app, bot or extension to list, show, answer, skip or cancel what a program is waiting on, fetch a file it carries, or show what one of its nodes is…
WeaveMindAI/weft
Read when the user wants weft or a program live for real people on their cloud, asks about prod, a target, --on, a domain or GCP, or a deploy failed: targets and logging in, domains, the deploy…
WeaveMindAI/weft
Read when the user asks what a run costs, or when a node is wired to a paid API weft does not already price: the three pieces of a custom paid service, a meter to copy, and the rules that keep a…
WeaveMindAI/weft
Read when growing a program stage by stage: carving a run, supplying starting values, baking a trigger and firing it without activating, reusing completed work with a seed, freezing an accepted…
WeaveMindAI/weft
COMMAND, not reference: Build and run the weft program, then report what came out.
Categories
Read when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth…. Weft Frontend is an agent skill from WeaveMindAI/weft.
Weft Frontend fits situations like: site for the program; before dispatching the frontend-builder: the verified scaffold commands; the default stack (pnpm; calling the programs own routes and signal doors.
Run `npx skills add WeaveMindAI/weft --skill weft-frontend -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/weft-frontend in WeaveMindAI/weft) into .claude/skills/weft-frontend in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WeaveMindAI/weft --skill weft-frontend -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/weft-frontend in WeaveMindAI/weft) into .agents/skills/weft-frontend 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 WeaveMindAI/weft --skill weft-frontend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weft-frontend, .gemini/skills/weft-frontend, .github/skills/weft-frontend and .opencode/skills/weft-frontend in your project.
Going by SKILL.md and its folder, Weft Frontend needs the command-line tools its instructions call (pnpm, node and openssl) and credentials named WEFT_TOKEN, BETTER_AUTH_SECRET, DATABASE_PASSWORD and WEFT_ROUTE_KEY.
SKILL.md names 1 domain. In commands or code: shadcn-svelte.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Weft Frontend has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 8k tokens (SKILL.md is roughly 32k 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 Weft Frontend: Kampsy UI (kampsy/ui, 288 stars), Frontend Guide (lightly-ai/lightly-studio, 896 stars), Worklog Design (regisx001/Worklog, 261 stars) and Veloxdb Scalable Performance (veloxbase/veloxdb, 646 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
WeaveMindAI (a GitHub organization) maintains it in WeaveMindAI/weft, which has 1,995 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 6, 2026.
Source: WeaveMindAI/weft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.