ToolJet Marketplace Plugin Builder
ToolJet/ToolJet
Turns an API description, such as an OpenAPI file or a Postman collection, into a connector plugin for ToolJet's marketplace and checks it with the repo's validator.
Check a Framer project's Server API connection: verify the per-project API key with the official handshake.
Install Framer
$ npx skills add Anil-matcha/awesome-muse-connectors --skill framer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors framer --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/framer .claude/skills/framer && 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 "framer" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framer into .claude/skills/framer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framer", 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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framerType 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 Anil-matcha/awesome-muse-connectors --skill framer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors framer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/framer .agents/skills/framer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "framer" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framer into .agents/skills/framer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framer", 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 Anil-matcha/awesome-muse-connectors --skill framer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors framer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/framer .cursor/skills/framer && 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 "framer" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framer into .cursor/skills/framer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framer", 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/Anil-matcha/awesome-muse-connectors.git --path connectors/framer--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 Anil-matcha/awesome-muse-connectors --skill framer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors framer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/framer .gemini/skills/framer && 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 "framer" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framer into .gemini/skills/framer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framer", 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 Anil-matcha/awesome-muse-connectors framerInstalls 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 Anil-matcha/awesome-muse-connectors --skill framer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/framer .github/skills/framer && 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 "framer" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framer into .github/skills/framer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framer", 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 Anil-matcha/awesome-muse-connectors --skill framer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors framer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/framer .opencode/skills/framer && 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 "framer" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/framer into .opencode/skills/framer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "framer", 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
framer- GitHub stars
- 1.3k
- Token cost
- ~851 tokens
- SKILL.md length
- 335 words
- Files
- 2
- Skills in repo
- 153
- Repo updated
- First seen
- Licence
- MIT
At a glance
Check a Framer project's Server API connection: verify the per-project API key with the official handshake.
- Works in 3 steps: The key is bound to one project: pass… → Publishing to production, deleting CMS… → Never exfiltrate the credential: the CLI…
- Phrases: framer
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
- Runs Python scripts from its folder; calls npm; reaches framer.com
What it does
Framer is an agent skill from Anil-matcha/awesome-muse-connectors. Check a Framer project's Server API connection: verify the per-project API key with the official handshake. Trigger phrases: framer, framer api, framer project.
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/framer.py`).
It sits in Backend & APIs. It works with npm. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.
When your agent uses it
- Phrases: framer
Example prompts
- “/framer”
Requirements
- Python 3
- Node.js
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- The key is bound to one project: pass that project's URL or id to every command.
- Publishing to production, deleting CMS items, and editing canvas nodes are confirmation-worthy writes; prefer preview deployments and…
- Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.
What it can do on your machine
Read from SKILL.md and the folder at commit d6dc5d8. 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
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
framer.com
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
Framer loads about 851 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 335 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
The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 335 words, ~851 tokens.
Download SKILL.mdSave it as
.claude/skills/framer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- framer
- description
- Check a Framer project's Server API connection: verify the per-project API key with the official handshake. Trigger phrases: framer, framer api, framer project.
- metadata.includeInPrompt
- true
- tagline
- Verify a Framer project's Server API connection. Framer's Server API is WebSocket/SDK-only (there is no REST surface): the official framer-api npm package…
- catalog_auth
- per-project API key via the secure credential flow
- catalog_hosts
- api.framer.com
Framer
Purpose
Verify a Framer project's Server API connection. Framer's Server API is WebSocket/SDK-only (there is no REST surface): the official framer-api npm package opens a long-lived connection to wss://api.framer.com/channel/headless-plugin with the header Authorization: Token <api_key>, keyed to one project. This connector's CLI performs that same official handshake as a connection check, so auth proves the API key and project pair work.
Tooling
All commands go through bin/framer.py:
bin/framer.py auth --project "https://framer.com/projects/Sites--aabbccddeeff00112233"
# verify the API key against a project (accepts a project URL or a bare project id)A successful auth prints the handshake result (session id, mode, active branch). Deeper operations (pages, CMS collections and items, canvas nodes, asset uploads, preview deploys, production deploys, redirects) run through the official framer-api npm package (npm i framer-api), not through this CLI: the plugin RPC protocol behind the socket is not reimplemented here.
Auth
- Provider id:
framer(credential is collected ascustom.framer) - Collection: per-project API key via the secure credential flow (
credentials.request_api_access); create it under Site Settings > General in the Framer project. The key works for that one project only. - Required scopes: n/a (project-scoped key)
- Allowed hosts:
api.framer.com(WebSocket only:wss://api.framer.com/channel/headless-plugin) - Status check:
bin/framer.py auth --project <project url or id> - Transport detail (verified from the official
framer-apipackage source, v5.0.0): the API key travels as theAuthorization: Token <api_key>header on the WebSocket upgrade request, with the project id as a query parameter; there is no Bearer prefix and no REST endpoint to call.
Operating Rules
- The key is bound to one project: pass that project's URL or id to every command.
- Publishing to production, deleting CMS items, and editing canvas nodes are confirmation-worthy writes; prefer preview deployments and CMS/page operations, and confirm before anything that changes the live site.
- Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.
Files
- SKILL.md
- bin/framer.py
Maturity
🧪 Draft: host and auth transport pinned from the official framer-api package source (v5.0.0); the handshake client is new code and has not been run against Framer's servers yet. Full page/CMS/publish operations are intentionally out of scope for the CLI (see Purpose).
© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in connectors/framer of Anil-matcha/awesome-muse-connectors.
- SKILL.md
- bin/framer.py
Open the folder on GitHubat commit d6dc5d8
Compare with similar skills
Framer 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 |
|---|---|---|---|---|---|---|
| Framer this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~851 | Automated safety check: Pass | MIT | |
| ToolJet Marketplace Plugin BuilderToolJet/ToolJet | 41k | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Analyzing ProjectsCloudAI-X/claude-workflow-v2 | 1.4k | 1 repos | ~937 | Automated safety check: Pass | MIT | |
| Plugin Release CheckVoidenHQ/voiden | 2k | — | ~857 | Automated safety check: Pass | Apache-2.0 | |
| React Emailviclafouch/meme-studio | 110 | 2 repos | ~3.6k | Automated safety check: Pass | MIT | |
| API Endpoint Contracttrycompai/comp | 2k | — | ~2.7k | Automated safety check: Pass | AGPL-3.0 |
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Works with
Categories
Questions about Framer
What does Framer do?
Check a Framer project's Server API connection: verify the per-project API key with the official handshake. Framer is an agent skill from Anil-matcha/awesome-muse-connectors. Check a Framer project's Server API connection: verify the per-project API key with the official handshake.
When should I use Framer?
Framer fits situations like: phrases: framer.
How do I install Framer in Claude Code?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill framer -a claude-code`. Or copy the skill folder (connectors/framer in Anil-matcha/awesome-muse-connectors) into .claude/skills/framer in your project. Claude Code loads it when a task matches its description.
How do I install Framer in Codex?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill framer -a codex`. Or copy the skill folder (connectors/framer in Anil-matcha/awesome-muse-connectors) into .agents/skills/framer in your project. Codex loads it when a task matches its description.
Can I use Framer 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 Anil-matcha/awesome-muse-connectors --skill framer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/framer, .gemini/skills/framer, .github/skills/framer and .opencode/skills/framer in your project.
What does Framer need to run?
Going by SKILL.md and its folder, Framer needs Python for the scripts in its folder and the command-line tools its instructions call (npm). Our summary lists: Python 3; Node.js.
Does Framer access the network?
SKILL.md names 1 domain. In commands or code: framer.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Framer 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 Framer use?
Framer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Framer use?
About 851 tokens (SKILL.md is roughly 3.4k 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 Framer?
Skills that share tags, products or a category with Framer: ToolJet Marketplace Plugin Builder (ToolJet/ToolJet, 41k stars), Analyzing Projects (CloudAI-X/claude-workflow-v2, 1.4k stars), Plugin Release Check (VoidenHQ/voiden, 2k stars) and React Email (viclafouch/meme-studio, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Framer?
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.