Agent skill

Orchestrating Deployment Pipelines

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Deploy use when you need to work with deployment and CI/CD. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDevOps & Cloud

Install Orchestrating Deployment Pipelines

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-deployment-pipelines -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace orchestrating-deployment-pipelines --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/orchestrating-deployment-pipelines .claude/skills/orchestrating-deployment-pipelines && 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
orchestrating-deployment-pipelines
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
437 words
Files
7 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deploy use when you need to work with deployment and CI/CD. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 9 steps: Define the deployment topology: target… → Select deployment strategy per… → Generate deployment manifests… → …
  • You need to work with deployment and CI/CD
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Runs Python scripts from its folder; calls kubectl and docker

What it does

Orchestrating Deployment Pipelines is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/example_config.yaml` and `assets/pipeline_template.yaml`). Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering CI/CD and Deployment. It works with Kubernetes. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • You need to work with deployment and CI/CD
  • With phrases like deploy application
  • Create pipeline
  • Automate deployment

Example prompts

  • “deploy application”
  • “create pipeline”
  • “automate deployment”
  • “/orchestrating-deployment-pipelines”

Requirements

  • Python 3
  • Docker
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(git:*), Bash(docker:*), Bash(kubectl:*)

Workflow steps

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

  1. Define the deployment topology: target environments, promotion flow (dev -> staging -> production), and approval gates
  2. Select deployment strategy per environment: rolling update for staging, canary or blue-green for production
  3. Generate deployment manifests (Kubernetes Deployments, Services, Ingress) or cloud service configurations
  4. Implement pre-deployment checks: database migration status, dependency health, configuration validation
  5. Configure canary analysis: route 5-10% of traffic to new version, monitor error rate and latency for 15 minutes before full rollout
  6. Add post-deployment verification: smoke tests, health check endpoints, synthetic monitoring
  7. Implement automated rollback triggers: revert if error rate exceeds 1% or P99 latency doubles during canary phase
  8. Set up deployment notifications: Slack messages with deployment status, version, environment, and commit link
  9. Document the deployment runbook with manual intervention procedures for edge cases

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. 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
    • Grep
    • Glob
    • Bash(git:*)
    • Bash(docker:*)
    • Bash(kubectl:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • kubectl
    • docker

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • kubernetes.io
    • argoproj.github.io
    • flagger.app
    • docs.aws.amazon.com

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Orchestrating Deployment Pipelines loads about 1.1k tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 437 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~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); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 437 words, ~1,096 tokens.

Download SKILL.mdSave it as .claude/skills/orchestrating-deployment-pipelines/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
orchestrating-deployment-pipelines
description
Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(git:*), Bash(docker:*), Bash(kubectl:*)
compatibility
Designed for Claude Code
version
1.28.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
devops, deployment, ci-cd

Orchestrating Deployment Pipelines

Overview

Orchestrate multi-stage deployment pipelines that coordinate builds, tests, approvals, and releases across environments (dev, staging, production). Implement deployment strategies including blue-green, canary, rolling updates, and feature flags using Kubernetes, cloud-native services, and CI/CD platforms.

Prerequisites

  • CI/CD platform configured (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
  • Kubernetes cluster with kubectl access or cloud deployment target (ECS, Cloud Run, App Engine)
  • Container registry with built and tagged images ready for deployment
  • Environment-specific configuration (secrets, environment variables) stored securely
  • Monitoring and alerting configured to detect deployment failures

Instructions

  1. Define the deployment topology: target environments, promotion flow (dev -> staging -> production), and approval gates
  2. Select deployment strategy per environment: rolling update for staging, canary or blue-green for production
  3. Generate deployment manifests (Kubernetes Deployments, Services, Ingress) or cloud service configurations
  4. Implement pre-deployment checks: database migration status, dependency health, configuration validation
  5. Configure canary analysis: route 5-10% of traffic to new version, monitor error rate and latency for 15 minutes before full rollout
  6. Add post-deployment verification: smoke tests, health check endpoints, synthetic monitoring
  7. Implement automated rollback triggers: revert if error rate exceeds 1% or P99 latency doubles during canary phase
  8. Set up deployment notifications: Slack messages with deployment status, version, environment, and commit link
  9. Document the deployment runbook with manual intervention procedures for edge cases

Output

  • Deployment pipeline configurations (GitHub Actions workflows, ArgoCD Applications)
  • Kubernetes manifests with deployment strategy annotations
  • Canary analysis configuration (Flagger, Argo Rollouts)
  • Pre/post-deployment hook scripts
  • Deployment runbook with rollback procedures
Show full SKILL.md (189 more words)Show less

Error Handling

ErrorCauseSolution
ImagePullBackOffImage tag not found in registry or auth failureVerify image exists with docker manifest inspect; check imagePullSecrets
CrashLoopBackOffApplication failing to start in new versionCheck pod logs with kubectl logs; verify environment variables and config maps
Canary analysis failedError rate or latency exceeded threshold during canaryAutomatic rollback triggered; investigate logs from canary pods before retrying
Deployment stuck in ProgressingInsufficient resources or pod scheduling failureCheck kubectl describe deployment for events; verify resource requests and node capacity
Database migration failedSchema conflict or lock timeoutRun migrations independently before deployment; add retry logic and connection timeout

Examples

  • "Create a deployment pipeline that builds on PR merge, deploys to staging automatically, runs integration tests, then requires manual approval for production with canary rollout."
  • "Set up Argo Rollouts for a Kubernetes deployment with 10% canary traffic, Prometheus-based analysis, and automatic rollback on error rate > 0.5%."
  • "Generate a blue-green deployment for an ECS service with ALB target group switching and automatic rollback on health check failure."

Resources

© jeremylongshore, 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 6 other files (scripts, references, assets) in skills/.curated/orchestrating-deployment-pipelines of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • assets/example_config.yaml
  • assets/pipeline_template.yaml
  • references/README.md
  • scripts/README.md
  • scripts/init_pipeline.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Orchestrating Deployment Pipelines 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.

Orchestrating Deployment Pipelines compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Orchestrating Deployment Pipelines this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
CI CDEliasOulkadi/shokunin114—~3.4kAutomated safety check: NotesMIT
NGINX Ingress CI Pipelinesnginx/kubernetes-ingress5.1k—~5.1kAutomated safety check: PassApache-2.0
Devops EngineerYikai-Liao/symusic1891 repos~1.5kAutomated safety check: PassMIT
Google Agents CLI Deploypifferologo/cloud-agents-cli1291 repos~6kAutomated safety check: PassApache-2.0

Similar skills

  • Senior DevOps Toolkit

    maslennikov-ig/claude-code-orchestrator-kit

    Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…

    260 GitHub starsUsed in 6 repos~1.1k tokens
    DevOps & CloudAuto-check: notes
  • CI CD

    EliasOulkadi/shokunin

    Design CI/CD pipelines for GitHub Actions, GitLab CI, and CircleCI with matrix builds, test sharding, caching, Docker layer caching, OIDC auth, deployment strategies (rolling, blue-green, canary)…

    114 GitHub stars~3.4k tokensUpdated 6 days ago
    DevOps & CloudAuto-check: notes
  • NGINX Ingress CI Pipelines

    nginx/kubernetes-ingress

    Explains how the NGINX Ingress Controller's GitHub Actions workflows, reusable workflows, build matrices and release pipeline fit together across two repositories.

    5.1k GitHub stars~5.1k tokensUpdated yesterday
    DevOps & CloudAuto-check passed
  • Devops Engineer

    Yikai-Liao/symusic

    Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates.

    189 GitHub starsUsed in 1 repo~1.5k tokens
    DevOps & CloudAuto-check passed
  • Google Agents CLI Deploy

    pifferologo/cloud-agents-cli

    This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud…

    129 GitHub starsUsed in 1 repo~6k tokens
    DevOps & CloudAuto-check passed
  • CI/CD Pipeline Principles

    irahardianto/awesome-agv

    Rules for designing CI/CD pipelines in layers: universal lint, test and scan stages, container builds with SBOM attestation, and GitOps for orchestrated deployments.

    156 GitHub stars~2.7k tokensUpdated 6 days ago
    DevOps & CloudAuto-check: notes

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Works with

Categories

Questions about Orchestrating Deployment Pipelines

What does Orchestrating Deployment Pipelines do?

Deploy use when you need to work with deployment and CI/CD. An agent skill from jeremylongshore/tons-of-skills-marketplace. Orchestrating Deployment Pipelines is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy use when you need to work with deployment and CI/CD.

When should I use Orchestrating Deployment Pipelines?

Orchestrating Deployment Pipelines fits situations like: you need to work with deployment and CI/CD; with phrases like deploy application; create pipeline; automate deployment.

How do I install Orchestrating Deployment Pipelines in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-deployment-pipelines -a claude-code`. Or copy the skill folder (skills/.curated/orchestrating-deployment-pipelines in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/orchestrating-deployment-pipelines in your project. Claude Code loads it when a task matches its description.

How do I install Orchestrating Deployment Pipelines in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill orchestrating-deployment-pipelines -a codex`. Or copy the skill folder (skills/.curated/orchestrating-deployment-pipelines in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/orchestrating-deployment-pipelines in your project. Codex loads it when a task matches its description.

Can I use Orchestrating Deployment Pipelines 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 jeremylongshore/tons-of-skills-marketplace --skill orchestrating-deployment-pipelines -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orchestrating-deployment-pipelines, .gemini/skills/orchestrating-deployment-pipelines, .github/skills/orchestrating-deployment-pipelines and .opencode/skills/orchestrating-deployment-pipelines in your project.

What does Orchestrating Deployment Pipelines need to run?

Going by SKILL.md and its folder, Orchestrating Deployment Pipelines needs Python for the scripts in its folder and the command-line tools its instructions call (kubectl and docker). Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(git:*), Bash(docker:*), Bash(kubectl:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Orchestrating Deployment Pipelines access the network?

SKILL.md names 4 domains. As links in the text: kubernetes.io, argoproj.github.io, flagger.app and docs.aws.amazon.com. This is read from the text; nothing was executed.

Is Orchestrating Deployment Pipelines 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Orchestrating Deployment Pipelines use?

Orchestrating Deployment Pipelines is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Orchestrating Deployment Pipelines use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 19 tokens, read only when the agent opens those files.

What are the alternatives to Orchestrating Deployment Pipelines?

Skills that share tags, products or a category with Orchestrating Deployment Pipelines: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), CI CD (EliasOulkadi/shokunin, 114 stars), NGINX Ingress CI Pipelines (nginx/kubernetes-ingress, 5.1k stars) and Devops Engineer (Yikai-Liao/symusic, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Orchestrating Deployment Pipelines?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.