Agent skill

Deploy

by softspark in softspark/ai-toolkit

Deploys with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit.

Apache-2.0Auto-check: notesDevOps & Cloud

Install Deploy

skills CLI
$ npx skills add softspark/ai-toolkit --skill deploy -a claude-code

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

GitHub CLI
$ gh skill install softspark/ai-toolkit deploy --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/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/deploy .claude/skills/deploy && 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
deploy
GitHub stars
179
Token cost
~743 tokens
SKILL.md length
196 words
Files
3 (incl. scripts)
Skills in repo
112
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deploys with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit.

  • Works in 4 steps: Validates deployment prerequisites → Runs pre-deployment checks → Executes deployment → …
  • Tasks that involve Deployment
  • SKILL.md covers Project context, Usage, What This Command Does and Environments, plus 5 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Deploy is an agent skill from softspark/ai-toolkit. Deploys with pre-flight checks and health verification. Triggers: deploy, deployment, ship, release, push to prod.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/pre_deploy_check.py` and `templates/deployment-checklist.md`).

It sits in DevOps & Cloud, covering Deployment. It works with Docker. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Deployment

Example prompts

  • “Use the deploy skill to deploy with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit”
  • “/deploy”

Requirements

  • Python 3
  • Docker
  • Pre-approved tools (allowed-tools): Bash, Read

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Validates deployment prerequisites
  2. Runs pre-deployment checks
  3. Executes deployment
  4. Verifies deployment success

What it can do on your machine

Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Deploy loads about 743 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~743

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:60
    - `env_file` - .env or .env.$ENV exists
  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read

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); the scripts in this folder are not scanned.

SKILL.md

The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 196 words, ~743 tokens.

Download SKILL.mdSave it as .claude/skills/deploy/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
deploy
description
Deploys with pre-flight checks and health verification. Triggers: deploy, deployment, ship, release, push to prod.
allowed-tools
Bash, Read
effort
medium
disable-model-invocation
true
argument-hint
[environment]
scripts
scripts/pre_deploy_check.py

Deploy Application

$ARGUMENTS

Deploy application to target environment.

Project context

  • Docker config: !cat docker-compose.yml 2>/dev/null || cat Dockerfile 2>/dev/null || echo "no-docker"

Usage

/deploy [environment]

What This Command Does

  1. Validates deployment prerequisites
  2. Runs pre-deployment checks
  3. Executes deployment
  4. Verifies deployment success

Environments

EnvironmentDescription
devDevelopment environment
stagingStaging/QA environment
prodProduction environment

Pre-Deployment Checklist

Run automated pre-deployment checks:

bash
python3 ${CLAUDE_SKILL_DIR}/scripts/pre_deploy_check.py [environment]

Returns JSON with pass/fail for each check:

  • git_clean - no uncommitted changes
  • branch - on main/master for production
  • docker - services running (if applicable)
  • env_file - .env or .env.$ENV exists
  • build_artifacts - dist/build present
  • tests_ran - test result artifacts found

Manual verification:

  • Tests passing
  • Build successful
  • Environment variables set
  • Secrets configured
  • Database migrations ready
  • Rollback plan documented

Deployment Strategies

StrategyUse Case
RollingZero-downtime, gradual
Blue-GreenInstant switch, easy rollback
CanaryRisk mitigation, gradual traffic
RecreateSimple, allows downtime

Output Format

markdown
## Deployment Report

### Status: Success / Failed

### Details
- **Environment**: [env]
- **Version**: [version]
- **Started**: [timestamp]
- **Completed**: [timestamp]

### Steps
1. [Step 1] - Done
2. [Step 2] - Done
3. [Step 3] - Failed (if failed)

### Health Check
- [endpoint]: [status]

### Rollback
If needed: `[rollback command]`

PRODUCTION SAFETY

  • Always deploy to staging first
  • Verify health checks pass
  • Have rollback plan ready
  • Monitor after deployment

MANDATORY: Documentation Update

After deployment, update documentation:

Required Updates
Change TypeUpdate
New releaseCHANGELOG, release notes
Config changesDeployment docs, procedures
New featuresUser documentation
Infrastructurekb/procedures/deployment-*.md
Post-Deployment Checklist
  • Deployment successful
  • Health checks passing
  • CHANGELOG updated
  • Deployment docs updated
  • Release notes created (if applicable)

© softspark, Apache-2.0. 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 2 other files (scripts) in app/skills/deploy of softspark/ai-toolkit.

  • SKILL.md
  • scripts/pre_deploy_check.py
  • templates/deployment-checklist.md

Open the folder on GitHubat commit d64db2b

Compare with similar skills

Deploy 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.

Deploy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deploy this skillsoftspark/ai-toolkit179—~743Automated safety check: NotesApache-2.0
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2596 repos~1.1kAutomated safety check: NotesCustom licence
LangBot Deployment Guidelangbot-app/LangBot18k—~1.2kAutomated safety check: NotesApache-2.0
Reflexo ReleaseMyriad-Dreamin/typst.ts1.2k—~1.5kAutomated safety check: PassApache-2.0
Aspiremicrosoft/aspire.dev1964 repos~1.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Deploy

What does Deploy do?

Deploys with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit. Deploy is an agent skill from softspark/ai-toolkit. Deploys with pre-flight checks and health verification.

When should I use Deploy?

Deploy fits situations like: tasks that involve Deployment.

How do I install Deploy in Claude Code?

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

How do I install Deploy in Codex?

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

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

What does Deploy need to run?

Going by SKILL.md and its folder, Deploy needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Bash, Read.

Does Deploy 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 Deploy safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Deploy use?

Deploy is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deploy use?

About 743 tokens (SKILL.md is roughly 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 Deploy?

Skills that share tags, products or a category with Deploy: GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 259 stars), LangBot Deployment Guide (langbot-app/LangBot, 18k stars) and Reflexo Release (Myriad-Dreamin/typst.ts, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deploy?

softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.

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