Render Deploy
ListedAutomates rendering and deployment of Tech Leads Club content to websites and platforms for seamless distribution.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add tech-leads-club/agent-skills --skill render-deploy -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
tech-leads-club
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: internal-api.render-internal.com, mcp.render.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
mcp.render.comundeclaredinternal-api.render-internal.comundeclaredWhat it found
- packages/skills-catalog/skills/(cloud)/render-deploy/SKILL.md:205contacts mcp.render.com
claude mcp add --transport http render https://mcp.render.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>" - packages/skills-catalog/skills/(cloud)/render-deploy/references/service-types.md:390contacts internal-api.render-internal.com
const API_URL = 'http://internal-api.render-internal.com:10000'
No pipe-to-shell installers: failed
Runs code fetched at install time in 1 place.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- packages/skills-catalog/skills/(cloud)/render-deploy/SKILL.md:159tells the user to run: remote script piped into a shell(in the instructions, not code)
- Linux/macOS: `curl -fsSL https://raw.githubusercontent.com/render-oss/cli/main/bin/install.sh | sh`
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
Pinned to a commit: passed
Scanned tech-leads-club/agent-skills at 6df68d5202.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6df68d5202
- Scanned
- 12 files, 3,119 lines
About this skill
The render-deploy skill enables AI agents to build, configure, and deploy web applications directly to Render.com. It handles the entire lifecycle from creating services and static sites to managing environment variables and automatic deployments.
When to use it
- Automate the deployment of new frontend or backend projects without manual CLI interaction.
- Manage multiple environments (Staging, Production) for different versions of your application.
- Configure complex service settings like build commands, start scripts, and resource limits programmatically.
- Trigger deployments automatically when code changes are detected in a connected repository.
Key capabilities
- Create and manage Web Services, Static Sites, and Cron Jobs on Render.
- Define and update environment variables securely for different services.
- Set up automatic deployment pipelines linked to Git repositories.
- Monitor service health and view logs directly through the agent interface.
- Scale services horizontally based on configured resource requirements.
Example prompts
- "Create a new Node.js web service on Render using my GitHub repository and set the branch to main."
- "Deploy my static site to Render production with custom environment variables for API keys."
- "Configure automatic deployments for my Django app whenever I push changes to the develop branch."
Tips & gotchas
Ensure your Git repository is public or properly authenticated, as Render requires access to pull code for automated builds. Always test environment variable configurations in a staging environment before switching to production to avoid exposing sensitive data.