Agent skill

Deployment Pipeline Design

by wshobson in wshobson/agents

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration.

MITAuto-check passedDevOps & Cloud

Install Deployment Pipeline Design

skills CLI
$ npx skills add wshobson/agents --skill deployment-pipeline-design -a claude-code

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

GitHub CLI
$ gh skill install wshobson/agents deployment-pipeline-design --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/wshobson/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/cicd-automation/skills/deployment-pipeline-design .claude/skills/deployment-pipeline-design && 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-pipeline-design
GitHub stars
40k
Token cost
~1.4k tokens
SKILL.md length
545 words
Files
3 (incl. references)
Skills in repo
142
Repo updated
First seen
Licence
MIT

At a glance

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration.

  • Designing zero-downtime deployment pipelines
  • SKILL.md covers Purpose, Input / Output, When to Use and Detailed patterns and worked…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Implementing canary rollout strategies

What it does

Deployment Pipeline Design is an agent skill from wshobson/agents. Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/advanced-strategies.md` and `references/details.md`).

It sits in DevOps & Cloud, covering CI/CD and Deployment. The repository describes itself as: Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi. The licence is MIT.

When your agent uses it

  • Designing zero-downtime deployment pipelines
  • Implementing canary rollout strategies
  • Setting up multi-environment promotion workflows
  • Debugging failed deployment gates in CI/CD

Example prompts

  • “/deployment-pipeline-design”

Requirements

  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 46891e7. 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, dockerfile and 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

Deployment Pipeline Design loads about 1.4k tokens when it runs, and up to ~8.4k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 545 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.4k

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 wshobson/agents at commit 46891e7, republished under its MIT licence (© wshobson). 545 words, ~1,379 tokens.

Download SKILL.mdSave it as .claude/skills/deployment-pipeline-design/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
deployment-pipeline-design
description
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.

Deployment Pipeline Design

Architecture patterns for multi-stage CI/CD pipelines with approval gates, deployment strategies, and environment promotion workflows.

Purpose

Design robust, secure deployment pipelines that balance speed with safety through proper stage organization, automated quality gates, and progressive delivery strategies. This skill covers both the structural design of pipeline architecture and the operational patterns for reliable production deployments.

Input / Output

What You Provide
  • Application type: Language/runtime, containerized or bare-metal, monolith or microservices
  • Deployment target: Kubernetes, ECS, VMs, serverless, or platform-as-a-service
  • Environment topology: Number of environments (dev/staging/prod), region layout, air-gap requirements
  • Rollout requirements: Acceptable downtime, rollback SLA, traffic splitting needs, canary vs blue-green preference
  • Gate constraints: Approval teams, required test coverage thresholds, compliance scans (SAST, DAST, SCA)
  • Monitoring stack: Prometheus, Datadog, CloudWatch, or other metrics sources used for automated promotion decisions
What This Skill Produces
  • Pipeline configuration: Stage definitions, job dependencies, parallelism, and caching strategy
  • Deployment strategy: Chosen rollout pattern with annotated configuration (canary weights, blue-green switchover, rolling parameters)
  • Health check setup: Shallow vs deep readiness probes, post-deployment smoke test scripts
  • Gate definitions: Automated metric thresholds and manual approval workflows
  • Rollback plan: Automated rollback triggers and manual runbook steps

When to Use

  • Design CI/CD architecture for a new service or platform migration
  • Implement deployment gates between environments
  • Configure multi-environment pipelines with mandatory security scanning
  • Establish progressive delivery with canary or blue-green strategies
  • Debug pipelines where stages succeed but production behavior is wrong
  • Reduce mean time to recovery by automating rollback on metric degradation

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Troubleshooting

Health check passes in pipeline but service is unhealthy in production

The pipeline health check is hitting a shallow /ping endpoint that returns 200 even when the database is unreachable. Use a deep readiness check that verifies actual dependencies (see Health Checks section above).

Show full SKILL.md (237 more words)Show less
Canary deployment never promotes to 100%

Argo Rollouts requires a valid AnalysisTemplate to auto-promote. If the Prometheus query returns no data (e.g., metric name changed), the analysis stays inconclusive and promotion stalls. Add inconclusiveLimit so the rollout fails fast rather than hanging:

yaml
spec:
  metrics:
  - name: error-rate
    failureCondition: "result[0] > 0.05"
    inconclusiveLimit: 2   # fail after 2 inconclusive results, not hang indefinitely
    provider:
      prometheus:
        query: |
          sum(rate(http_requests_total{status=~"5.."}[2m]))
          / sum(rate(http_requests_total[2m]))
Staging deploy succeeds but production job never starts

Check that production environment protection rules are configured — a missing reviewer assignment means the approval gate waits indefinitely with no notification. In GitHub Actions, ensure Required reviewers is set to an existing user or team in Settings → Environments → production.

Docker layer cache busted on every run causing slow builds

If COPY . . appears before dependency installation, any source file change invalidates the dependency layer. Reorder to copy dependency manifests first:

dockerfile
# Good: dependencies cached separately from source code
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
Rollback leaves database migrations applied to old code

A service rollback without a migration rollback causes schema/code mismatch errors. Always make migrations backward-compatible (additive only) for at least one release cycle, and keep undo scripts versioned alongside the migration:

bash
# migrations/V20240315__add_nullable_column.sql       (forward)
# migrations/V20240315__add_nullable_column.undo.sql  (backward)

Never run destructive migrations (DROP COLUMN, ALTER NOT NULL) until the old code version is fully retired from all environments.

Advanced Topics

For platform-specific pipeline configurations, multi-region promotion workflows, and advanced Argo Rollouts patterns, see:

  • references/advanced-strategies.md — Extended YAML examples, platform-specific configs (GitHub Actions, GitLab CI, Azure Pipelines), multi-region canary patterns, and database migration rollback strategies
  • github-actions-templates - For GitHub Actions implementation patterns and reusable workflows
  • gitlab-ci-patterns - For GitLab CI/CD pipeline implementation
  • secrets-management - For secrets handling in CI/CD pipelines

© wshobson, MIT. 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 (references) in plugins/cicd-automation/skills/deployment-pipeline-design of wshobson/agents.

  • SKILL.md
  • references/advanced-strategies.md
  • references/details.md

Open the folder on GitHubat commit 46891e7

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AI News RadarLearnPrompt/ai-news-radar1.8k—~2.5kAutomated safety check: NotesMIT
Use Vercel Actionamondnet/vercel-action764—~2.7kAutomated safety check: PassMIT
CI CD And Automationdzhalaevd/Donatello1357 repos~2.7kAutomated safety check: NotesApache-2.0
Prepare Cloudflare Production DeploymentLubomirGeorgiev/cloudflare-workers-nextjs-saas-template786—~5.9kAutomated safety check: NotesMIT

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Categories

Questions about Deployment Pipeline Design

What does Deployment Pipeline Design do?

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Deployment Pipeline Design is an agent skill from wshobson/agents. Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration.

When should I use Deployment Pipeline Design?

Deployment Pipeline Design fits situations like: designing zero-downtime deployment pipelines; implementing canary rollout strategies; setting up multi-environment promotion workflows; debugging failed deployment gates in CI/CD.

How do I install Deployment Pipeline Design in Claude Code?

Run `npx skills add wshobson/agents --skill deployment-pipeline-design -a claude-code`. Or copy the skill folder (plugins/cicd-automation/skills/deployment-pipeline-design in wshobson/agents) into .claude/skills/deployment-pipeline-design in your project. Claude Code loads it when a task matches its description.

How do I install Deployment Pipeline Design in Codex?

Run `npx skills add wshobson/agents --skill deployment-pipeline-design -a codex`. Or copy the skill folder (plugins/cicd-automation/skills/deployment-pipeline-design in wshobson/agents) into .agents/skills/deployment-pipeline-design in your project. Codex loads it when a task matches its description.

Can I use Deployment Pipeline Design 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 wshobson/agents --skill deployment-pipeline-design -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-pipeline-design, .gemini/skills/deployment-pipeline-design, .github/skills/deployment-pipeline-design and .opencode/skills/deployment-pipeline-design in your project.

What does Deployment Pipeline Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Deployment Pipeline Design is instructions for the agent only. Our summary lists: Docker.

Does Deployment Pipeline Design 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 Pipeline Design 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 Pipeline Design use?

Deployment Pipeline Design 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 Deployment Pipeline Design use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Deployment Pipeline Design?

Skills that share tags, products or a category with Deployment Pipeline Design: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), AI News Radar (LearnPrompt/ai-news-radar, 1.8k stars), Use Vercel Action (amondnet/vercel-action, 764 stars) and CI CD And Automation (dzhalaevd/Donatello, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deployment Pipeline Design?

wshobson (a GitHub user) maintains it in wshobson/agents, which has 40,314 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 5, 2026.

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