Render Deploy

👤 ivangdavila 📦 v1.0.0 ⭐ 4.4 ⬇️ 1.2K 下載
🔒 IT運維與安全 免費 🔑 需 API Key

📖 技能介紹


name: Render Deploy slug: render-deploy version: 1.0.0 homepage: https://clawic.com/skills/render-deploy description: Deploy applications on Render with codebase analysis, render.yaml Blueprint generation, MCP direct provisioning, and post-deploy verification. changelog: Added end-to-end Render deployment guidance with method selection, runtime checks, and practical troubleshooting flows. metadata: {"clawdbot":{"emoji":"🚀","requires":{"bins":["git","render"],"env":["RENDER_API_KEY"],"config":["~/render-deploy/"]},"primaryEnv":"RENDER_API_KEY","install":[{"id":"brew","kind":"brew","formula":"render","bins":["render"],"label":"Install Render CLI (Homebrew)"}],"os":["linux","darwin","win32"]}}


Setup

On first use, read setup.md for integration guidelines. If local memory is needed, ask for consent before creating ~/render-deploy/.

When to Use

Use this skill when the user wants to deploy, publish, or host an application on Render and needs reliable deployment execution instead of generic advice. Activate for render.yaml Blueprint generation, MCP direct service creation, runtime configuration checks, and post-deploy triage.

Architecture

Memory lives in ~/render-deploy/. See memory-template.md for setup.

~/render-deploy/
|- memory.md                  # Stable preferences and integration choices
|- deployment-notes.md        # Project-level deployment decisions
|- env-inventory.md           # Required env vars and source of truth
`- incident-log.md            # Deploy failures and resolved fixes

Quick Reference

Load only the minimum file needed for the current request.

7w4.net小蔥技能。

Topic File
Setup process setup.md
Memory template memory-template.md
Codebase detection and commands codebase-analysis.md
Blueprint workflow and render.yaml rules blueprint-workflow.md
Authentication and MCP execution mapping direct-creation.md
Startup and healthcheck troubleshooting troubleshooting.md

Authentication Model

Before any provisioning command, confirm one of these is active: - RENDER_API_KEY is exported in the shell, or - Render CLI is authenticated (render whoami -o json)

For git-backed flows, require git and a valid remote URL. Do not attempt opaque credential discovery or unrelated environment inspection.

Core Rules

1. Classify the Deployment Path First

Before proposing commands, decide which path applies: - Git-backed deploy (Blueprint or Direct Creation) - Prebuilt Docker image deploy via Dashboard/API

If the repository has no remote, stop and ask the user to push a remote or switch to dashboard image deploy.

2. Choose Method by Complexity, Not Preference

Default decision: - Direct Creation when it is one simple service and no extra infra - Blueprint when there are multiple services, datastores, cron, workers, or reproducibility requirements

If uncertainty remains, ask one clarifying question and continue.

3. Verify Prerequisites Before Any Deploy Action

Run checks in this order: - git remote -v for source availability - MCP availability (list_services()) - CLI fallback readiness (render --version, render whoami -o json) - Active workspace context (MCP or CLI) - Authentication presence (RENDER_API_KEY or authenticated CLI session)

Do not proceed to deployment steps when prerequisites are missing.

4. Treat render.yaml as Executable Infrastructure

When using Blueprint: - Declare all required env vars - Mark user-provided secrets with sync: false - Prefer plan: free unless user requests another plan - Match service type and runtime to the actual app behavior

After creating the file, validate before push.

Before sharing a Render Blueprint deeplink, confirm render.yaml is committed and pushed to the remote branch. If not pushed, the Dashboard flow will fail to discover the configuration.

6. Verify the Deployment and Close With Evidence

After deployment: - Confirm latest deploy status is live - Check health endpoint response - Review recent error logs - Validate required env vars and port binding (0.0.0.0:$PORT)

If failures exist, run one-fix-at-a-time triage from troubleshooting.md.

Common Traps

  • Starting deploy without a git remote -> Blueprint and MCP git-backed flows fail immediately.
  • Picking Direct Creation for multi-service systems -> Missing workers/datastores and fragmented setup.
  • Forgetting sync: false on secrets -> Broken deploys or accidental secret exposure in config.
  • Using localhost binding instead of 0.0.0.0:$PORT -> Health checks fail even when process is running.
  • Redeploying repeatedly without root-cause fix -> Noisy failures and delayed resolution.

External Endpoints

Endpoint Data Sent Purpose
https://dashboard.render.com Repository URL, service config, env key names Blueprint apply flow and dashboard provisioning
https://mcp.render.com Service creation/config requests and workspace-scoped metadata MCP direct provisioning
https://api.render.com Deployment metadata, logs, service status (via CLI/API) Validation and operational checks

No other endpoints should be used unless the user requests an explicit integration.

Security & Privacy

Data that leaves your machine: - Repository URL and deployment metadata sent to Render services. - Environment variable names and provided values when the user explicitly sets them.

Data that stays local: - Preferences and deployment history in ~/render-deploy/ if the user accepts memory. - Local codebase inspection outputs and interim analysis notes.

This skill does NOT: - Read unrelated credentials outside the deployment context. - Scrape credentials from shell history, dotfiles, or unrelated config paths. - Send project files to undeclared third-party endpoints. - Run destructive infrastructure changes without explicit confirmation.

Trust

By using this skill, deployment metadata and selected configuration are sent to Render services. Only use it if you trust Render with this operational data.

Install with clawhub install <slug> if user confirms: - deploy - General deployment planning and release execution. - devops - CI/CD, infrastructure workflows, and ops coordination. - docker - Container packaging and runtime configuration. - ci-cd - Pipeline automation and release validation stages. - nodejs - Runtime-specific app configuration and startup tuning.

Feedback

  • If useful: clawhub star render-deploy
  • Stay updated: clawhub sync

🤖 AI 評測

這個 Skill 質量中上,文件結構完整、條理清晰,涵蓋了 Render 部署的主要場景和常見問題處理。優點是提供了清晰的部署流程和故障排查指南,能幫助使用者完成基本的 Render 部署操作。不足之處在於缺少入門引導文件,對新手不太友好,且缺少實際使用示例,某些配置說明較為簡略。對於有經驗的開發者來說夠用,但新手可能需要更多上下文才能順利使用。

📊 多維度評分

適應性4.4
規範性4.5
有效性4.6
可靠性4.4
可信度4.2

📁 包含檔案 (8 個)

📄 SKILL.md 6.5 KB
📄 _meta.json 132 B
📄 blueprint-workflow.md 1.2 KB
📄 codebase-analysis.md 1.5 KB
📄 direct-creation.md 1.7 KB
📄 memory-template.md 1.9 KB
📄 setup.md 1.6 KB
📄 troubleshooting.md 1.2 KB