Agent skill

Deployment Strategies

by revfactory in revfactory/harness-100

배포 전략 카탈로그. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passedDevOps & Cloud

Install Deployment Strategies

skills CLI
$ npx skills add revfactory/harness-100 --skill deployment-strategies -a claude-code

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

GitHub CLI
$ gh skill install revfactory/harness-100 deployment-strategies --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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/20-cicd-pipeline/.claude/skills/deployment-strategies .claude/skills/deployment-strategies && 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
deployment-strategies
GitHub stars
1.3k
Token cost
~1.1k tokens
SKILL.md length
422 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

배포 전략 카탈로그. An agent skill from revfactory/harness-100.

  • Works in 5 steps: Rolling Update (순차 교체) → Blue-Green (청록 배포) → Canary (카나리 배포) → …
  • Tasks that involve Deployment
  • SKILL.md covers 대상 에이전트, 배포 전략 비교, 전략별 상세 and 헬스체크 설계, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deployment Strategies is an agent skill from revfactory/harness-100. 배포 전략 카탈로그. Blue-Green/Canary/Rolling/A-B Test/Shadow 배포 전략별 장단점, 구현 패턴, 롤백 절차, 헬스체크 설계, DORA 메트릭을 제공하는 pipeline-designer 확장 스킬. '배포 전략', 'Blue-Green', 'Canary', 'Rolling', '롤백', '무중단 배포', 'DORA 메트릭' 등 배포 파이프라인 설계 시 사용한다. 단, 실제 인프라 구성이나 모니터링 도구 설정은 이 스킬의 범위가 아니다.

Its SKILL.md is about 1.1k 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 and A/B testing. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Deployment
  • Tasks that involve A/B testing

Example prompts

  • “Blue-Green”
  • “Canary”
  • “Rolling”
  • “/deployment-strategies”

Workflow steps

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

  1. Rolling Update (순차 교체)
  2. Blue-Green (청록 배포)
  3. Canary (카나리 배포)
  4. A/B Testing (기능 실험)
  5. Shadow (미러링)

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. 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 (its code samples are yaml and json).

    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

Deployment Strategies loads about 1.1k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 422 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 422 words, ~1,142 tokens.

Download SKILL.mdSave it as .claude/skills/deployment-strategies/SKILL.md (or your agent's skills folder).
name
deployment-strategies
description
배포 전략 카탈로그. Blue-Green/Canary/Rolling/A-B Test/Shadow 배포 전략별 장단점, 구현 패턴, 롤백 절차, 헬스체크 설계, DORA 메트릭을 제공하는 pipeline-designer 확장 스킬. '배포 전략', 'Blue-Green', 'Canary', 'Rolling', '롤백', '무중단 배포', 'DORA 메트릭' 등 배포 파이프라인 설계 시 사용한다. 단, 실제 인프라 구성이나 모니터링 도구 설정은 이 스킬의 범위가 아니다.

Deployment Strategies — 배포 전략 카탈로그

pipeline-designer 에이전트가 배포 파이프라인 설계 시 활용하는 배포 전략, 롤백 절차, 헬스체크, DORA 메트릭 레퍼런스.

대상 에이전트

pipeline-designer — 이 스킬의 배포 전략과 롤백 패턴을 파이프라인 설계에 직접 적용한다.

배포 전략 비교

전략다운타임위험도인프라 비용롤백 속도적합 상황
Rolling없음중간낮음중간일반 웹서비스
Blue-Green없음낮음2배즉각미션 크리티컬
Canary없음매우 낮음약간 추가즉각대규모 트래픽
Recreate있음높음없음느림개발/스테이징
A/B Test없음낮음약간 추가즉각기능 실험
Shadow없음없음2배불필요성능/호환성 검증

전략별 상세

1. Rolling Update (순차 교체)
서버 풀: [v1] [v1] [v1] [v1]
단계 1:  [v2] [v1] [v1] [v1]  -- 1대 교체
단계 2:  [v2] [v2] [v1] [v1]  -- 2대 교체
단계 3:  [v2] [v2] [v2] [v1]  -- 3대 교체
단계 4:  [v2] [v2] [v2] [v2]  -- 완료

설정 파라미터:

  • maxUnavailable: 동시에 내릴 수 있는 최대 수 (1 또는 25%)
  • maxSurge: 동시에 추가할 수 있는 최대 수 (1 또는 25%)

Kubernetes 예시:

yaml
strategy:
  type: RollingUpdate
  rollingUpdate:
    maxUnavailable: 1
    maxSurge: 1

장점: 추가 인프라 최소, 점진적 교체 단점: v1+v2 공존 기간 발생 (호환성 필요)

2. Blue-Green (청록 배포)
Blue (현재):  [v1] [v1] [v1]  ← 트래픽 100%
Green (대기):  [v2] [v2] [v2]  ← 트래픽 0%

전환:
Blue:   [v1] [v1] [v1]  ← 트래픽 0% (대기/제거)
Green:  [v2] [v2] [v2]  ← 트래픽 100%

절차:

  1. Green 환경에 새 버전 배포
  2. Green에서 스모크 테스트/헬스체크
  3. 로드밸런서 트래픽 전환 (Green으로)
  4. Blue 환경 모니터링 (롤백 대비)
  5. 안정화 후 Blue 제거 또는 다음 배포 대기

롤백: 로드밸런서를 Blue로 재전환 (수초 이내)

3. Canary (카나리 배포)
단계 1: [v1 x 95%] [v2 x 5%]   -- 5% 트래픽으로 시작
단계 2: [v1 x 80%] [v2 x 20%]  -- 메트릭 정상 시 확대
단계 3: [v1 x 50%] [v2 x 50%]  -- 추가 확대
단계 4: [v2 x 100%]             -- 전체 전환

단계별 검증 기준:

단계트래픽대기 시간검증
15%10~30분에러율, 레이턴시
220%30~60분비즈니스 메트릭 추가
350%1~2시간전체 메트릭
4100%-완료

자동 롤백 조건:

  • 에러율 > 1% (평소 대비 2배)
  • p99 레이턴시 > 2초 (평소 대비 50% 증가)
  • 비즈니스 메트릭 이상 (전환율, 매출 등)
4. A/B Testing (기능 실험)
  • 사용자 세그먼트 기반 트래픽 분리
  • Feature Flag 시스템과 연동
  • 통계적 유의성 확보 후 결정
Show full SKILL.md (176 more words)Show less
5. Shadow (미러링)
  • 프로덕션 트래픽을 새 버전에 복제 (응답은 무시)
  • 성능, 에러, 호환성 검증에만 사용
  • 사용자 영향 zero

헬스체크 설계

3단계 헬스체크
유형검증 대상엔드포인트주기
Liveness프로세스 생존/healthz10초
Readiness트래픽 수신 가능/readyz5초
Startup초기화 완료/healthz1초 (최대 300초)
헬스체크 응답 구조
json
{
  "status": "healthy",
  "version": "2.1.0",
  "uptime": 86400,
  "checks": {
    "database": { "status": "healthy", "latency": "2ms" },
    "redis": { "status": "healthy", "latency": "1ms" },
    "external_api": { "status": "degraded", "latency": "500ms" }
  }
}
Kubernetes Probe 설정
yaml
livenessProbe:
  httpGet:
    path: /healthz
    port: 8080
  initialDelaySeconds: 15
  periodSeconds: 10
  failureThreshold: 3

readinessProbe:
  httpGet:
    path: /readyz
    port: 8080
  initialDelaySeconds: 5
  periodSeconds: 5
  failureThreshold: 3

롤백 절차

자동 롤백 트리거
지표임계값대기 시간
HTTP 5xx 비율> 5%2분 연속
레이턴시 p99> 3초5분 연속
Pod 재시작> 3회10분 이내
메모리/CPU> 90%5분 연속
롤백 절차
1. 트리거 감지 → 자동 알림 (Slack/PagerDuty)
2. 이전 버전으로 즉시 전환
   - Blue-Green: 로드밸런서 전환
   - Canary: 카나리 트래픽 0%로
   - Rolling: kubectl rollout undo
3. 근본 원인 분석 (RCA)
4. 수정 후 재배포

DORA 메트릭

4대 핵심 메트릭
메트릭설명EliteHighMediumLow
배포 빈도프로덕션 배포 주기수시 (일 다회)일~주 1회월 1회월 1회 미만
리드 타임커밋→배포 시간< 1시간1일~1주1주~1개월1개월+
변경 실패율배포 후 장애 비율< 5%6~15%16~30%> 30%
복구 시간장애→복구 시간< 1시간< 1일1일~1주1주+
측정 자동화
배포 빈도 = 프로덕션 배포 이벤트 카운트 / 기간
리드 타임 = 프로덕션 배포 시간 - 첫 커밋 시간
변경 실패율 = 롤백 배포 수 / 전체 배포 수 x 100
복구 시간 = 인시던트 해결 시간 - 인시던트 발생 시간

브랜치 전략과 배포 매핑

브랜치 전략배포 흐름적합
Trunk-Basedmain → 스테이징 → 프로덕션소규모 팀, 빈번한 배포
GitHub Flowfeature → PR → main → 프로덕션중규모 팀, CI/CD 성숙
GitFlowfeature → develop → release → main대규모, 릴리스 주기 고정
환경별 자동 배포 규칙
feature/* → PR → 프리뷰 환경 (ephemeral)
main       → 자동 → 스테이징 (자동 테스트)
main + tag → 수동 승인 → 프로덕션
hotfix/*   → 긴급 → 프로덕션 (승인 간소화)

© revfactory, 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

Just SKILL.md in ko/20-cicd-pipeline/.claude/skills/deployment-strategies of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Deployment Strategies 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.

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Senior Data Scientistborghei/Claude-Skills886—~1.7kAutomated safety check: PassMIT
A B Test Config Creatorjeremylongshore/tons-of-skills-marketplace2.8k—~563Automated safety check: PassMIT
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0

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Categories

Questions about Deployment Strategies

What does Deployment Strategies do?

배포 전략 카탈로그. An agent skill from revfactory/harness-100. Deployment Strategies is an agent skill from revfactory/harness-100. 배포 전략 카탈로그.

When should I use Deployment Strategies?

Deployment Strategies fits situations like: tasks that involve Deployment; tasks that involve A/B testing.

How do I install Deployment Strategies in Claude Code?

Run `npx skills add revfactory/harness-100 --skill deployment-strategies -a claude-code`. Or copy the skill folder (ko/20-cicd-pipeline/.claude/skills/deployment-strategies in revfactory/harness-100) into .claude/skills/deployment-strategies in your project. Claude Code loads it when a task matches its description.

How do I install Deployment Strategies in Codex?

Run `npx skills add revfactory/harness-100 --skill deployment-strategies -a codex`. Or copy the skill folder (ko/20-cicd-pipeline/.claude/skills/deployment-strategies in revfactory/harness-100) into .agents/skills/deployment-strategies in your project. Codex loads it when a task matches its description.

Can I use Deployment Strategies 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 revfactory/harness-100 --skill deployment-strategies -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deployment-strategies, .gemini/skills/deployment-strategies, .github/skills/deployment-strategies and .opencode/skills/deployment-strategies in your project.

What does Deployment Strategies need to run?

SKILL.md names no scripts, command-line tools or credentials: Deployment Strategies is instructions for the agent only.

Does Deployment Strategies 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 Deployment Strategies 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 Deployment Strategies use?

Deployment Strategies 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 Deployment Strategies use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Deployment Strategies?

Skills that share tags, products or a category with Deployment Strategies: Experiment Verification Monitoring (hashgraph-online/awesome-codex-plugins, 1.3k stars), Model Serving Kubernetes (BagelHole/DevOps-Security-Agent-Skills, 1.1k stars), Senior Data Scientist (borghei/Claude-Skills, 886 stars) and A B Test Config Creator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deployment Strategies?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,295 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.