Supabase Development and Debugging
supabase/agent-skills
General Supabase skill for database, auth, Edge Functions, Realtime and storage work, plus client libraries, migrations, security audits, debugging and reading logs.
Read when the program needs to answer calls from outside (an HTTP route, a websocket, anything a page or a service will call), and before briefing a frontend on what it will call: the URL known…
$ npx skills add WeaveMindAI/weft --skill weft-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WeaveMindAI/weft weft-api --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-api .claude/skills/weft-api && 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-api" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-api into .claude/skills/weft-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-api", 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-apiType 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-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WeaveMindAI/weft weft-api --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-api .agents/skills/weft-api && 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-api" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-api into .agents/skills/weft-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-api", 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-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WeaveMindAI/weft weft-api --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-api .cursor/skills/weft-api && 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-api" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-api into .cursor/skills/weft-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-api", 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-api--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-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WeaveMindAI/weft weft-api --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-api .gemini/skills/weft-api && 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-api" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-api into .gemini/skills/weft-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-api", 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-apiInstalls 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-api -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-api .github/skills/weft-api && 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-api" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-api into .github/skills/weft-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-api", 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-api -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-api --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-api .opencode/skills/weft-api && 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-api" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-api into .opencode/skills/weft-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-api", 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-apiRead when the program needs to answer calls from outside (an HTTP route, a websocket, anything a page or a service will call), and before briefing a frontend on what it will call: the URL known…
Weft API is an agent skill from WeaveMindAI/weft. Read when the program needs to answer calls from outside (an HTTP route, a websocket, anything a page or a service will call), and before briefing a frontend on what it will call: the URL known before activation, how a request's parts and body reach the graph, pictures in and out as links, streaming an answer as it is produced, holding a conversation open, who may call, and how to try it.
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 Backend & APIs, covering Realtime and WebSockets. 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:
curlFrom 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:
weft-role-dispatcher-123456789.us-central1.run.appapi.shop.comFrom 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.
Weft API loads about 8k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 5,017 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 5,017 words (~8,021 tokens).
“Everything here is in the api package of the catalog. You read each node's metadata.json before wiring it; when a name below drifts from it, the metadata wins. A [route] is one Route or Socket node: one trigger, and one…”
Just SKILL.md in tangle/cline/.cline/skills/weft-api of WeaveMindAI/weft.
Open the folder on GitHubat commit 6e28f31
Weft API 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 API this skillWeaveMindAI/weft | 2k | — | ~8k | Automated safety check: Pass | Custom licence | |
| Supabase Development and Debuggingsupabase/agent-skills | 2.7k | 3 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Use Yaakmountain-loop/yaak | 19k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Gemini Live API Devgoogle-gemini/gemini-skills | 4.3k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Web3 PolymarketPolymarket/agent-skills | 191 | 2 repos | ~2k | Automated safety check: Pass | None | |
| GraphQL ArchitectJeffallan/claude-skills | 12k | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
supabase/agent-skills
General Supabase skill for database, auth, Edge Functions, Realtime and storage work, plus client libraries, migrations, security audits, debugging and reading logs.
mountain-loop/yaak
A skill your agent uses when the user mentions Yaak, a Yaak workspace, or the yaak command, or asks to call, hit, or smoke test HTTP/REST endpoints, save or organize API requests for reuse or manual…
google-gemini/gemini-skills
A skill your agent uses when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live.
Polymarket/agent-skills
Polymarket integration for prediction market trading on Polygon.
Jeffallan/claude-skills
Designs GraphQL schemas and Apollo Federation graphs, with DataLoader resolvers, subscriptions, query complexity limits and caching.
marketcalls/openalgo
Integrate a new Indian broker into OpenAlgo, or modify an existing broker plugin.
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
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…
Categories
Read when the program needs to answer calls from outside (an HTTP route, a websocket, anything a page or a service will call), and before briefing a frontend on what it will call: the URL known…. Weft API is an agent skill from WeaveMindAI/weft. Read when the program needs to answer calls from outside (an HTTP route, a websocket, anything a page or a service will call), and before briefing a frontend on what it will call: the URL known before activation, how a request's parts and body reach the graph, pictures in and out as links, streaming an answer as it is produced, holding a conversation open, who may call, and how to try it.
Weft API fits situations like: tasks that involve Realtime and WebSockets.
Run `npx skills add WeaveMindAI/weft --skill weft-api -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/weft-api in WeaveMindAI/weft) into .claude/skills/weft-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WeaveMindAI/weft --skill weft-api -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/weft-api in WeaveMindAI/weft) into .agents/skills/weft-api 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-api -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-api, .gemini/skills/weft-api, .github/skills/weft-api and .opencode/skills/weft-api in your project.
Going by SKILL.md and its folder, Weft API needs the command-line tools its instructions call (curl). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: weft-role-dispatcher-123456789.us-central1.run.app and api.shop.com; the agent is likely to contact these when it follows the instructions. 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.
Weft API 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 API: Supabase Development and Debugging (supabase/agent-skills, 2.7k stars), Use Yaak (mountain-loop/yaak, 19k stars), Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars) and Web3 Polymarket (Polymarket/agent-skills, 191 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.