Prepare local Render or Vercel deployment configuration and verify build, start, output, environment, and health-check readiness without deploying.

MITAuto-check passedDevOps & Cloud

Install Release

skills CLI
$ npx skills add aiblueprinthq/ai-blueprint --skill release -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiblueprinthq/ai-blueprint release --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/release .claude/skills/release && rm -rf skills-src

Use ~/.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/

Facts

Skill name
release
GitHub stars
463
Token cost
~1.6k tokens
SKILL.md length
853 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Prepare local Render or Vercel deployment configuration and verify build, start, output, environment, and health-check readiness without deploying.

  • Works in 5 steps: read the project → choose the provider shape → verify local readiness → …
  • Deploy readiness
  • SKILL.md covers Input, Step 1 - read the project, Step 2 - choose the provider… and Step 3 - verify local readiness, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Release is an agent skill from aiblueprinthq/ai-blueprint. Prepare local Render or Vercel deployment configuration and verify build, start, output, environment, and health-check readiness without deploying. Use for /release, Render setup, Vercel setup, deploy readiness, render.yaml, or vercel.json.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Deployment. It works with Vercel and Render. The repository describes itself as: A file-backed, spec-driven AI coding workflow framework for building real software while staying in control. The licence is MIT.

When your agent uses it

  • Deploy readiness
  • Tasks that involve Deployment

Example prompts

  • “/release”

Requirements

  • Python 3
  • Docker

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. read the project
  2. choose the provider shape
  3. verify local readiness
  4. prepare local config
  5. report the release packet

What it can do on your machine

Read from SKILL.md and the folder at commit 96222b7. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Release loads about 1.6k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 853 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 aiblueprinthq/ai-blueprint at commit 96222b7, republished under its MIT licence (© aiblueprinthq). 853 words, ~1,566 tokens.

Download SKILL.mdSave it as .claude/skills/release/SKILL.md (or your agent's skills folder).
name
release
description
Prepare local Render or Vercel deployment configuration and verify build, start, output, environment, and health-check readiness without deploying. Use for /release, Render setup, Vercel setup, deploy readiness, render.yaml, or vercel.json.

release - deployment readiness for Render and Vercel

Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.

First action: Before project inspection, preflight, or any other tool call, publish running to blueprint/.state/run.json using the dashboard activity contract in AGENTS.md.

Where this sits in the workflow:

/complete  ->  [release]  ->  deploy with explicit approval
(feature       (config,       (human confirms
 finished)      checks)        external action)

/release is an optional deployment prep step. It gets the app ready to ship, but it is not a deploy button. It can inspect, recommend, create local config files, and run local checks. It must stop before any external provider action unless the user gives an explicit yes in the current chat.

Initial targets:

  • Render - static sites, web services, background workers, cron jobs, and render.yaml when useful.
  • Vercel - frontend apps, full-stack framework apps, serverless functions, and vercel.json when useful.

Input

Optional scope:

  • no argument: inspect the project and recommend Render or Vercel if the target is obvious; otherwise ask which target to prepare
  • render: prepare Render readiness and config
  • vercel: prepare Vercel readiness and config
  • check: read-only deployment readiness report
  • config: focus on creating or updating local provider config files

If the user asks to deploy, connect a provider, create a remote service, set remote env vars, push, publish, or run provider commands that affect a remote, pause and ask for explicit confirmation before doing it.

Step 1 - read the project

Read:

  • AGENTS.md
  • blueprint/project-plan.md
  • blueprint/build-plan.md
  • blueprint/context/project-overview.md
  • blueprint/context/current-feature.md
  • package or build files such as package.json, lockfiles, framework config, Dockerfile, render.yaml, vercel.json, .env.example, and README files
  • git branch and working tree status

Identify:

  • app type: static frontend, SSR app, API service, worker, CLI, monorepo, or hybrid
  • build command, start command, dev command, test command, output directory, and package manager
  • runtime needs: Node version, Python version, Docker, database, cache, object storage, queues, background jobs, cron, migrations, or file uploads
  • env vars by name only; never print or write secret values
  • health path or smoke test path

Step 2 - choose the provider shape

For Render, decide whether the app should be:

  • static site
  • web service
  • background worker
  • cron job
  • database paired with a service

For Vercel, decide whether the app should be:

  • framework deployment with auto-detected settings
  • static output deployment
  • serverless or edge function app
  • monorepo project with a root directory

If the provider is a poor fit, say that plainly and recommend the better target. Examples: long-running workers usually fit Render better; a mostly frontend Next.js or Astro site usually fits Vercel well.

Step 3 - verify local readiness

Run only local, non-destructive checks that match AGENTS.md:

  • install check only if dependencies are already present or the user approves an install
  • build command
  • test command when declared
  • preview or start command if safe, then smoke test the health path
  • lint or typecheck only when listed in project commands or package scripts

If a command is missing, report the gap instead of inventing certainty. If a command needs secrets, list the env var names needed and skip that check.

Show full SKILL.md (339 more words)Show less

Step 4 - prepare local config

Only create or update local config files when the target is clear or the user asked for config.

For Render, prefer render.yaml when the app needs repeatable setup or has more than one service. Include:

  • service type
  • build command
  • start command for web services
  • static publish path for static sites
  • health check path when known
  • env var names without values
  • region or plan only if the user specified it

For Vercel, create vercel.json only when the defaults are not enough. Many Vercel projects need no config file. Include:

  • build command only when it differs from defaults
  • output directory only when needed
  • rewrites or headers only when the app requires them
  • install command only when the package manager cannot be inferred

For both providers:

  • update .env.example with required names when useful
  • add a short deployment note to README only if the project already has a deployment section or the user asks
  • never write secret values

Step 5 - report the release packet

Finish with a concise packet:

  • Target - Render or Vercel, and why
  • Shape - static site, web service, framework app, worker, or hybrid
  • Config changed - files created or edited, or "none"
  • Checks run - commands and result
  • Env needed - names only
  • Smoke test - exact path or command to verify after deploy
  • Blockers - anything that must be fixed before shipping
  • Next action - exact command or provider step, stopping before external action unless approved

Rules

  • Optional only. Do not add /release to the mandatory build loop.
  • Do not deploy, create remote services, set remote env vars, push, publish, or transmit externally without explicit approval in the current chat.
  • Do not write secret values to files or chat.
  • Do not hide failing builds, missing env vars, or unknown output paths.
  • Do not add provider config if the platform defaults are better.
  • Keep the change small. Deployment setup should not become a full DevOps framework.

Formatting

Format the output to match the project's conventions in blueprint/context/ai-interaction.md: concise, scannable markdown, with lists for enumerations and tables for matrices rather than dense paragraphs.

© aiblueprinthq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/release of aiblueprinthq/ai-blueprint.

Open the folder on GitHubat commit 96222b7

Compare with similar skills

Release 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.

Release compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Release this skillaiblueprinthq/ai-blueprint463—~1.6kAutomated safety check: PassMIT
Vercelremotion-dev/remotion63k—~1.2kAutomated safety check: PassCustom licence
Use Vercel Actionamondnet/vercel-action764—~2.7kAutomated safety check: PassMIT
Deployments Cicdvercel/vercel-plugin3011 repos~3kAutomated safety check: PassCustom licence
Deploy Release Testvercel/next.js143k—~1.2kAutomated safety check: PassMIT
Env Managerbobmatnyc/claude-mpm155—~2kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Release

What does Release do?

Prepare local Render or Vercel deployment configuration and verify build, start, output, environment, and health-check readiness without deploying. Release is an agent skill from aiblueprinthq/ai-blueprint. Prepare local Render or Vercel deployment configuration and verify build, start, output, environment, and health-check readiness without deploying.

When should I use Release?

Release fits situations like: deploy readiness; tasks that involve Deployment.

How do I install Release in Claude Code?

Run `npx skills add aiblueprinthq/ai-blueprint --skill release -a claude-code`. Or copy the skill folder (.agents/skills/release in aiblueprinthq/ai-blueprint) into .claude/skills/release in your project. Claude Code loads it when a task matches its description.

How do I install Release in Codex?

Run `npx skills add aiblueprinthq/ai-blueprint --skill release -a codex`. Or copy the skill folder (.agents/skills/release in aiblueprinthq/ai-blueprint) into .agents/skills/release in your project. Codex loads it when a task matches its description.

Can I use Release 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 aiblueprinthq/ai-blueprint --skill release -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release, .gemini/skills/release, .github/skills/release and .opencode/skills/release in your project.

What does Release need to run?

SKILL.md names no scripts, command-line tools or credentials: Release is instructions for the agent only. Our summary lists: Python 3; Docker.

Does Release 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 Release 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 Release use?

Release 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 Release use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Release?

Skills that share tags, products or a category with Release: Vercel (remotion-dev/remotion, 63k stars), Use Vercel Action (amondnet/vercel-action, 764 stars), Deployments Cicd (vercel/vercel-plugin, 301 stars) and Deploy Release Test (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release?

aiblueprinthq (a GitHub organization) maintains it in aiblueprinthq/ai-blueprint, which has 463 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.

Source: aiblueprinthq/ai-blueprint on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.