Agent skill

Deploy

Deploy feature to target environment (dev/staging/prod) with level-based strategy.

Apache-2.0Auto-check: notesDevOps & Cloud

Install Deploy

skills CLI

$ npx skills add ww-w-ai/bkit-claude-code --skill deploy -a claude-code

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

GitHub CLI

$ gh skill install ww-w-ai/bkit-claude-code 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/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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/

Paste into Claude Code

Install the "deploy" agent skill from https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy into .claude/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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

$skill-installer install https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy

Type 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.

skills CLI

$ npx skills add ww-w-ai/bkit-claude-code --skill deploy -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ww-w-ai/bkit-claude-code deploy --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deploy .agents/skills/deploy && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "deploy" agent skill from https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy into .agents/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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.

skills CLI

$ npx skills add ww-w-ai/bkit-claude-code --skill deploy -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ww-w-ai/bkit-claude-code deploy --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deploy .cursor/skills/deploy && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "deploy" agent skill from https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy into .cursor/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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

$ gemini skills install https://github.com/ww-w-ai/bkit-claude-code.git --path skills/deploy

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ww-w-ai/bkit-claude-code --skill deploy -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ww-w-ai/bkit-claude-code deploy --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deploy .gemini/skills/deploy && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "deploy" agent skill from https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy into .gemini/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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.

GitHub CLI

$ gh skill install ww-w-ai/bkit-claude-code deploy

Installs 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).

skills CLI

$ npx skills add ww-w-ai/bkit-claude-code --skill deploy -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deploy .github/skills/deploy && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "deploy" agent skill from https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy into .github/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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.

skills CLI

$ npx skills add ww-w-ai/bkit-claude-code --skill deploy -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ww-w-ai/bkit-claude-code deploy --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deploy .opencode/skills/deploy && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "deploy" agent skill from https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/deploy into .opencode/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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: deploy
GitHub stars: 601
Token cost: ~1.2k tokens
SKILL.md length: 346 words
Files: 1
Skills in repo: 44
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Deploy feature to target environment (dev/staging/prod) with level-based strategy.

Tasks that involve Deployment
SKILL.md covers Usage, Level-Based Strategy, Deploy Flow and Environment Promotion Gates, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Tasks that involve Container orchestration

What it does

Deploy is an agent skill from ww-w-ai/bkit-claude-code. Deploy feature to target environment (dev/staging/prod) with level-based strategy. Triggers: deploy, /pdca deploy

Its SKILL.md is about 1.2k 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, Container orchestration and Containers. It works with Docker and Argo CD. The repository describes itself as: bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Deployment
Tasks that involve Container orchestration
Tasks that involve Containers

Example prompts

“/deploy”

Requirements

Docker
Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash

What it can do on your machine

Read from SKILL.md and the folder at commit 85b4913. 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:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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 1.2k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 346 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: ~1.2k

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.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Read, Write, Edit, Glob, Grep, Bash
```

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 ww-w-ai/bkit-claude-code at commit 85b4913, republished under its Apache-2.0 licence (© ww-w-ai). 346 words, ~1,224 tokens.

Download SKILL.mdSave it as .claude/skills/deploy/SKILL.md (or your agent's skills folder).

name: deploy
description: Deploy feature to target environment (dev/staging/prod) with level-based strategy. Triggers: deploy, /pdca deploy
allowed-tools: Read, Write, Edit, Glob, Grep, Bash
classification: workflow
classification-reason: Deployment execution independent of model capability
deprecation-risk: none
effort: high
argument-hint: [feature] [--env dev|staging|prod]
user-invocable: true
agents.orchestrator: bkit:infra-architect
pdca-phase: do
task-template: [Deploy] {feature}

Deploy Skill

Deploy code to target environment with automated CI/CD pipeline generation. Strategy adapts based on project level (Starter/Dynamic/Enterprise).

Usage

bash

/pdca deploy {feature}              # Deploy to default env (dev)
/pdca deploy {feature} --env dev    # Deploy to DEV
/pdca deploy {feature} --env staging  # Deploy to STAGING (requires DEV 90%+)
/pdca deploy {feature} --env prod   # Deploy to PROD (requires STAGING 95%+ & Human Approval)
/pdca deploy status                 # Show deploy state machine status

Level-Based Strategy

Level	Strategy	Environments	Tools
Starter	Guide only	dev	GitHub Pages, Netlify, Vercel
Dynamic	Docker + GHA	dev, staging	Docker Compose, GitHub Actions
Enterprise	6-Layer CI/CD	dev, staging, prod	Terraform, EKS, ArgoCD, Canary

Deploy Flow

/pdca deploy feature --env dev
    │
    ▼
① Level Detection (Starter/Dynamic/Enterprise)
    │
    ▼
② Generate CI/CD Files (if not exist)
    ├── .github/workflows/deploy.yml
    ├── Dockerfile (Dynamic/Enterprise)
    ├── docker-compose.yml (DEV)
    ├── k8s/ manifests (Enterprise)
    └── terraform/ (Enterprise)
    │
    ▼
③ Deploy State Machine Transition
    init → dev → verify(90%) → staging → verify(95%) → approval → prod(canary) → complete
    │
    ▼
④ Return to PDCA Check phase

Environment Promotion Gates

Gate	Condition	Action
DEV → STAGING	Match Rate ≥ 90%	Auto-promote
STAGING → PROD	Match Rate ≥ 95% + Human Approval	Require `/pdca deploy --env prod`
PROD Canary	Error rate < threshold	Auto-rollout 10% → 25% → 50% → 100%

Generated Files

Starter

Deployment guide document only

Dynamic

.github/workflows/deploy.yml — Docker build + push + deploy
Dockerfile — Multi-stage build
docker-compose.yml — DEV environment
.env.example — Environment variables template

Enterprise (additional)

infra/terraform/ — AWS infrastructure
infra/k8s/ — Kubernetes manifests
infra/argocd/ — ArgoCD Application + Helm
Security scan steps in CI/CD

Rollback

bash

/pdca deploy rollback {feature}              # Rollback current deploy
/pdca deploy rollback {feature} --env prod   # Rollback specific environment

Rollback triggers:

Manual: /pdca deploy rollback command
Auto: Error rate spike detected by ops-metrics (> 5% threshold)
Canary fail: Argo Rollouts auto-rollback on metrics failure
Self-healing escalation: When self-healing agent exhausts its 5-iteration auto-fix budget without restoring SLO, it triggers /pdca deploy rollback as final remediation (see Self-Healing Integration below).

Rollback resets deploy state machine to idle and restores previous version.

Self-Healing Integration (v2.1.13)

The self-healing agent (linked-from-skills: deploy) closes the deploy ⇄ recovery loop:

Stage	Trigger	Action
Detect	Sentry/Slack error pattern matches deploy window	self-healing agent activated via 8-lang triggers ("자동 수정", "auto fix", etc.)
Diagnose	4-Layer Living Context loaded (Scenarios + Invariants + Impact + Incidents)	Identify deploy-introduced regression
Auto-fix	Spawn code-analyzer + gap-detector via Task tool	Up to 5 iteration cycles with scenario runner verification
Verify	Re-run feature scenarios	Pass → auto PR; Fail → escalate
Escalate	Iteration budget exhausted or critical invariant violated	Trigger `/pdca deploy rollback` + alert human on-call

Invocation paths:

Implicit: Sentry webhook → self-healing agent (via plugin trigger registry)
Explicit: /pdca deploy rollback first checks for active self-healing session and aborts to wait for it; user can force-bypass with --force-rollback

The self-healing → deploy contract is mediated by lib/audit/audit-logger.js ACTION_TYPES (rollback_executed, agent_completed, gate_failed) so all transitions remain audit-trail compliant.

Hook Events

Event	When	Hook
`deploy-start`	Deploy initiated	Pre-validation
`deploy-complete`	Deploy successful	Post-notification
`deploy-failed`	Deploy failed	Error handling + rollback suggestion

Files

Just SKILL.md in skills/deploy of ww-w-ai/bkit-claude-code.

Open the folder on GitHubat commit 85b4913

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
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Deploy this skillww-w-ai/bkit-claude-code	601	—	~1.2k	Automated safety check: Notes	Apache-2.0	13 days ago
Funnelcake Deployment Workflowdivinevideo/divine-mobile	266	—	~3.6k	Automated safety check: Pass	MPL-2.0	today
LangBot Deployment Guidelangbot-app/LangBot	18k	—	~1.2k	Automated safety check: Notes	Apache-2.0	today
Debug Openshell ClusterNVIDIA/OpenShell	16k	—	~20k	Automated safety check: Notes	Apache-2.0	today
Demo Local Rolloutcarverauto/serviceradar	921	—	~4.2k	Automated safety check: Pass	Apache-2.0	today
Deploymentmatrixorigin/memoria	610	—	~1.6k	Automated safety check: Notes	Apache-2.0	today

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Questions about Deploy

What does Deploy do?

Deploy feature to target environment (dev/staging/prod) with level-based strategy. Deploy is an agent skill from ww-w-ai/bkit-claude-code. Deploy feature to target environment (dev/staging/prod) with level-based strategy.

When should I use Deploy?

Deploy fits situations like: tasks that involve Deployment; tasks that involve Container orchestration; tasks that involve Containers.

How do I install Deploy in Claude Code?

Run `npx skills add ww-w-ai/bkit-claude-code --skill deploy -a claude-code`. Or copy the skill folder (skills/deploy in ww-w-ai/bkit-claude-code) 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 ww-w-ai/bkit-claude-code --skill deploy -a codex`. Or copy the skill folder (skills/deploy in ww-w-ai/bkit-claude-code) 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 ww-w-ai/bkit-claude-code --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?

SKILL.md names no scripts, command-line tools or credentials: Deploy is instructions for the agent only. Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash.

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 (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

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 1.2k tokens (SKILL.md is roughly 4.9k 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: Funnelcake Deployment Workflow (divinevideo/divine-mobile, 266 stars), LangBot Deployment Guide (langbot-app/LangBot, 18k stars), Debug Openshell Cluster (NVIDIA/OpenShell, 16k stars) and Demo Local Rollout (carverauto/serviceradar, 921 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deploy?

ww-w-ai (a GitHub organization) maintains it in ww-w-ai/bkit-claude-code, which has 601 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on September 27, 2026.

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

Install Deploy

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Deploy Skill

Usage

Level-Based Strategy

Deploy Flow

Environment Promotion Gates

Generated Files

Starter

Dynamic

Enterprise (additional)

Rollback

Self-Healing Integration (v2.1.13)

Hook Events

Files

Compare with similar skills

Similar skills

More from ww-w-ai/bkit-claude-code

Related

Questions about Deploy