Monstermq Broker Config
vogler75/monster-mq
Guide for configuring, deploying, and operating the MonsterMQ broker.
Read and write Railway: list projects and deployments, set environment variables, redeploy.
Install Railway
$ npx skills add Anil-matcha/awesome-muse-connectors --skill railway -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors railway --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/railway .claude/skills/railway && 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 "railway" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/railway into .claude/skills/railway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "railway", 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/railwayType 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 railway -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors railway --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/railway .agents/skills/railway && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "railway" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/railway into .agents/skills/railway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "railway", 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 railway -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors railway --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/railway .cursor/skills/railway && 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 "railway" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/railway into .cursor/skills/railway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "railway", 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/railway--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 railway -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors railway --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/railway .gemini/skills/railway && 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 "railway" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/railway into .gemini/skills/railway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "railway", 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 railwayInstalls 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 railway -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/railway .github/skills/railway && 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 "railway" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/railway into .github/skills/railway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "railway", 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 railway -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 railway --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/railway .opencode/skills/railway && 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 "railway" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/railway into .opencode/skills/railway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "railway", 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
railway- GitHub stars
- 1.3k
- Token cost
- ~661 tokens
- SKILL.md length
- 229 words
- Files
- 2
- Skills in repo
- 153
- Repo updated
- First seen
- Licence
- MIT
At a glance
Read and write Railway: list projects and deployments, set environment variables, redeploy.
- Works in 4 steps: set-var and redeploy are writes: confirm… → Reading (projects, deployments) needs no… → The GraphQL schema evolves over time:… → …
- Phrases: railway
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
- Runs Python scripts from its folder
What it does
Railway is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write Railway: list projects and deployments, set environment variables, redeploy. Trigger phrases: railway, deploy.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/railway.py`).
It sits in DevOps & Cloud, covering Deployment and Secrets management. It works with Railway and GraphQL. 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: railway
- Tasks that involve Deployment
- Tasks that involve Secrets management
Example prompts
- “/railway”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- set-var and redeploy are writes: confirm the project, environment, variable name, and value with the user before running, unless standing…
- Reading (projects, deployments) needs no confirmation.
- The GraphQL schema evolves over time: treat field names as best-effort and prefer introspection over hardcoding if a query fails; the CLI…
- 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.
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
Railway loads about 661 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 229 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). 229 words, ~661 tokens.
Download SKILL.mdSave it as
.claude/skills/railway/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- railway
- description
- Read and write Railway: list projects and deployments, set environment variables, redeploy. Trigger phrases: railway, deploy.
- metadata.includeInPrompt
- true
- tagline
- List projects and deployments, set variables, redeploy.
- catalog_auth
- API token (account or workspace)
- catalog_hosts
- backboard.railway.com
Railway
Purpose
Read and write the user's Railway infrastructure through the Railway GraphQL API: list projects, inspect a project, list deployments, set environment variables, and redeploy deployments. Use when the user mentions Railway or deployments they host there.
Tooling
All commands go through bin/railway.py:
bin/railway.py auth # verify the token
bin/railway.py projects # list projects (id, name)
bin/railway.py project --id proj_abc123 # inspect one project
bin/railway.py deployments --project-id proj_abc123 # list deployments for a project
bin/railway.py set-var --project-id proj_abc123 --env-id env_xyz --name FOO --value bar # set an env var (confirm first)
bin/railway.py redeploy --deployment-id dep_abc123 # redeploy a deployment (confirm first)Every operation is a POST to the single GraphQL endpoint with {"query": ..., "variables": {...}}. Queries are kept minimal; project and deployments accept the IDs Railway returns from projects.
Auth
- Provider id:
railway(credential is collected ascustom.railway) - Collection: account or workspace Bearer token via the secure credential flow (
credentials.request_api_access); created in the Railway dashboard under Tokens. Note: project tokens are a different mechanism (they use aProject-Access-Tokenheader instead ofAuthorization: Bearer) and are out of scope for this CLI. - Allowed hosts:
backboard.railway.com - Status check:
bin/railway.py auth(must return"ok": true)
Operating Rules
set-varandredeployare writes: confirm the project, environment, variable name, and value with the user before running, unless standing permission exists.- Reading (projects, deployments) needs no confirmation.
- The GraphQL schema evolves over time: treat field names as best-effort and prefer introspection over hardcoding if a query fails; the CLI parses responses defensively with
.get. - Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.
Files
- SKILL.md
- bin/railway.py
Maturity
🧪 Draft: written from Railway's public API docs; not yet live-tested end-to-end.
© 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/railway of Anil-matcha/awesome-muse-connectors.
- SKILL.md
- bin/railway.py
Open the folder on GitHubat commit d6dc5d8
Compare with similar skills
Railway 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 |
|---|---|---|---|---|---|---|
| Railway this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~661 | Automated safety check: Pass | MIT | |
| Monstermq Broker Configvogler75/monster-mq | 143 | — | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Memstack Deployment Railway Deploycwinvestments/memstack | 423 | — | ~2.1k | Automated safety check: Pass | Proprietary | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Releasear-io/ar-io-node | 127 | — | ~4.2k | Automated safety check: Notes | AGPL-3.0 |
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Categories
Questions about Railway
What does Railway do?
Read and write Railway: list projects and deployments, set environment variables, redeploy. Railway is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write Railway: list projects and deployments, set environment variables, redeploy.
When should I use Railway?
Railway fits situations like: phrases: railway; tasks that involve Deployment; tasks that involve Secrets management.
How do I install Railway in Claude Code?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill railway -a claude-code`. Or copy the skill folder (connectors/railway in Anil-matcha/awesome-muse-connectors) into .claude/skills/railway in your project. Claude Code loads it when a task matches its description.
How do I install Railway in Codex?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill railway -a codex`. Or copy the skill folder (connectors/railway in Anil-matcha/awesome-muse-connectors) into .agents/skills/railway in your project. Codex loads it when a task matches its description.
Can I use Railway 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 railway -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/railway, .gemini/skills/railway, .github/skills/railway and .opencode/skills/railway in your project.
What does Railway need to run?
Going by SKILL.md and its folder, Railway needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Railway 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 Railway 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 Railway use?
Railway 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 Railway use?
About 661 tokens (SKILL.md is roughly 2.6k 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 Railway?
Skills that share tags, products or a category with Railway: Monstermq Broker Config (vogler75/monster-mq, 143 stars), Memstack Deployment Railway Deploy (cwinvestments/memstack, 423 stars), LangBot Deployment Guide (langbot-app/LangBot, 18k stars) and Azure Bicep Skill (timothywarner-org/claude-code, 224 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Railway?
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 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.