Web Asset Generator
alonw0/web-asset-generator
Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn.
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…
$ npx skills add WeaveMindAI/weft --skill weft-consumers -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WeaveMindAI/weft weft-consumers --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-consumers .claude/skills/weft-consumers && 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-consumers" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-consumers into .claude/skills/weft-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-consumers", 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-consumersType 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-consumers -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WeaveMindAI/weft weft-consumers --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-consumers .agents/skills/weft-consumers && 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-consumers" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-consumers into .agents/skills/weft-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-consumers", 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-consumers -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WeaveMindAI/weft weft-consumers --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-consumers .cursor/skills/weft-consumers && 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-consumers" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-consumers into .cursor/skills/weft-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-consumers", 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-consumers--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-consumers -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WeaveMindAI/weft weft-consumers --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-consumers .gemini/skills/weft-consumers && 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-consumers" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-consumers into .gemini/skills/weft-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-consumers", 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-consumersInstalls 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-consumers -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-consumers .github/skills/weft-consumers && 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-consumers" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-consumers into .github/skills/weft-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-consumers", 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-consumers -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-consumers --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-consumers .opencode/skills/weft-consumers && 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-consumers" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-consumers into .opencode/skills/weft-consumers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-consumers", 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-consumersRead 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…
Weft Consumers is an agent skill from 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 displaying (a WhatsApp bridge's QR code, a database's minted password): the api token, the doors, the payload shapes, and how a new signal kind reaches a consumer.
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with WhatsApp. The repository describes itself as: A programming language for AI orchestrations.
6 steps, taken from the first numbered list in SKILL.md.
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:
jqFrom 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.
Weft Consumers loads about 3.8k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 2,149 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 2,149 words (~3,820 tokens).
“A [signal] is one thing a running program waits on: a parked question, a trigger that starts a run, a webhook, a timer. Every [signal] has a [signal token], the credential that fires it (the token of its listing entry)…”
Just SKILL.md in tangle/cline/.cline/skills/weft-consumers of WeaveMindAI/weft.
Open the folder on GitHubat commit 6e28f31
Weft Consumers 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 Consumers this skillWeaveMindAI/weft | 2k | — | ~3.8k | Automated safety check: Pass | Custom licence | |
| Web Asset Generatoralonw0/web-asset-generator | 512 | 1 repos | ~6.6k | Automated safety check: Pass | MIT | |
| Deskcomm Contribuirmelgarafael/DeskcommCRM | 4.5k | — | ~3.6k | Automated safety check: Notes | MIT | |
| Send User MessageTinyAGI/tinyagi | 3.6k | — | ~829 | Automated safety check: Pass | MIT | |
| Wacliopenclaw/wacli | 2.8k | — | ~811 | Automated safety check: Pass | MIT | |
| Deskcomm Extensaomelgarafael/DeskcommCRM | 4.5k | — | ~2.7k | Automated safety check: Pass | MIT |
alonw0/web-asset-generator
Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn.
melgarafael/DeskcommCRM
Guia de contribuição ao DeskcommCRM para quem vai mexer no código e abrir um pull request, sobretudo de um fork.
TinyAGI/tinyagi
Send a proactive message to a paired user via their channel (Discord, Telegram, or WhatsApp).
openclaw/wacli
wacli: WhatsApp linked devices, stores, sync/auth/send, repo/release work.
melgarafael/DeskcommCRM
Guia para criar uma extensão do DeskcommCRM — o pacote declarativo — em vez de abrir um PR no núcleo.
sanjay3290/ai-skills
Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a…
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 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…
WeaveMindAI/weft
COMMAND, not reference: Build and run the weft program, then report what came out.
Works with
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…. Weft Consumers is an agent skill from 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 displaying (a WhatsApp bridge's QR code, a database's minted password): the api token, the doors, the payload shapes, and how a new signal kind reaches a consumer.
Weft Consumers fits situations like: wants their own website; extension to list; cancel what a program is waiting on; fetch a file it carries.
Run `npx skills add WeaveMindAI/weft --skill weft-consumers -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/weft-consumers in WeaveMindAI/weft) into .claude/skills/weft-consumers in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WeaveMindAI/weft --skill weft-consumers -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/weft-consumers in WeaveMindAI/weft) into .agents/skills/weft-consumers 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-consumers -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-consumers, .gemini/skills/weft-consumers, .github/skills/weft-consumers and .opencode/skills/weft-consumers in your project.
Going by SKILL.md and its folder, Weft Consumers needs the command-line tools its instructions call (jq).
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.
Weft Consumers has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.8k tokens (SKILL.md is roughly 15k 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 Consumers: Web Asset Generator (alonw0/web-asset-generator, 512 stars), Deskcomm Contribuir (melgarafael/DeskcommCRM, 4.5k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars) and Wacli (openclaw/wacli, 2.8k 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.