ai-pipeline — ai-agents ai-pipeline, ai-engineering, community, ai-agents, ide skills, claude-code, developer-tools, devsecops, github-copilot, Claude Code, Cursor

v1.0.0
GitHub

About this Skill

Perfect for DevOps Agents needing automated CI/CD pipeline generation and management with stack-aware workflows and quality gates. Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex.

# Core Topics

ai-agents claude-code developer-tools devsecops github-copilot
arcasilesgroup arcasilesgroup
[3]
[0]
Updated: 3/17/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
56
Canonical Locale
en
Detected Body Locale
en

Perfect for DevOps Agents needing automated CI/CD pipeline generation and management with stack-aware workflows and quality gates. Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex.

Core Value

Empowers agents to generate and evolve production-grade CI/CD pipelines with features like git hooks, security scanning, and risk management, utilizing stack-aware workflows and quality gates via Sonar config and externalReferences.cicd_standards.

Ideal Agent Persona

Perfect for DevOps Agents needing automated CI/CD pipeline generation and management with stack-aware workflows and quality gates.

↓ Capabilities Granted for ai-pipeline

Automating CI/CD pipeline generation for multiple stacks
Enforcing quality gates and security scanning in pipelines
Evolving pipelines with advanced patterns for production-grade deployments

! Prerequisites & Limits

  • Requires access to install-manifest.json and externalReferences.cicd_standards
  • Dependent on VCS provider and Sonar config for full functionality
  • Limited to generating pipelines with supported stacks and configurations

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is ai-pipeline?

Perfect for DevOps Agents needing automated CI/CD pipeline generation and management with stack-aware workflows and quality gates. Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex.

How do I install ai-pipeline?

Run the command: npx killer-skills add arcasilesgroup/ai-engineering/ai-pipeline. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for ai-pipeline?

Key use cases include: Automating CI/CD pipeline generation for multiple stacks, Enforcing quality gates and security scanning in pipelines, Evolving pipelines with advanced patterns for production-grade deployments.

Which IDEs are compatible with ai-pipeline?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for ai-pipeline?

Requires access to install-manifest.json and externalReferences.cicd_standards. Dependent on VCS provider and Sonar config for full functionality. Limited to generating pipelines with supported stacks and configurations.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add arcasilesgroup/ai-engineering/ai-pipeline. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use ai-pipeline immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

ai-pipeline

Install ai-pipeline, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

CI/CD Pipeline

Router skill for CI/CD pipeline generation. Dispatches to handler files based on sub-command.

When to Use

  • Creating new CI/CD pipelines for a project.
  • Evolving existing pipelines with advanced patterns.
  • Validating pipeline compliance (SHA pinning, timeouts, concurrency).
  • NOT for running pipelines -- that is the CI system's job.

Process

Step 0: Load Stack Contexts

Follow .ai-engineering/contexts/stack-context.md. Apply loaded standards to all subsequent work.

Routing

Sub-commandHandlerPurpose
generate (default)handlers/generate.mdCreate new pipeline from project analysis
evolvehandlers/evolve.mdAdd advanced patterns to existing pipeline
validatehandlers/validate.mdCheck pipeline compliance

Default (no sub-command): generate.

Quick Reference

/ai-pipeline generate                    # new pipeline from project analysis
/ai-pipeline generate --provider azure   # Azure Pipelines specifically
/ai-pipeline evolve                      # add advanced patterns
/ai-pipeline validate                    # check compliance

Shared Rules

  • SHA pinning: all third-party actions use SHA pins. First-party (actions/*) may use major tags.
  • No * versions: explicit version constraints always.
  • OIDC auth: prefer OIDC over long-lived secrets.
  • Timeouts: every job must have timeout-minutes.
  • Concurrency: group by branch to prevent parallel runs.

Integration

  • Stack detection: reads providers.stacks from .ai-engineering/manifest.yml.
  • Validation: actionlint for GitHub Actions.
  • Policy: scripts/check_workflow_policy.py for SHA pinning and timeout compliance.
  • Boundary: /ai-governance validates governance process; /ai-pipeline generates and validates the workflow files themselves

References

  • .ai-engineering/manifest.yml -- CI/CD standards.
  • .ai-engineering/contexts/ -- per-stack check definitions. $ARGUMENTS

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