spec — cloud native platform cloud-native-ref, community, cloud native platform, ide skills, kubernetes spec, crossplane composition, infrastructure as code, security changes, platform reference, spec command, Claude Code

v1.0.0

About this Skill

Perfect for Cloud Native Agents needing upfront design specifications for Kubernetes and DevOps workflows. spec is a cloud native platform reference skill for creating lightweight specifications

Features

Generates specifications using /spec command
Supports composition, infrastructure, security, and platform types
Creates specifications for Crossplane compositions and major infrastructure changes
Enables security changes such as network policies and RBAC
Infer types from description or ask for clarification

# Core Topics

Smana Smana
[90]
[15]
Updated: 3/6/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 10/11

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
10/11
Quality Score
56
Canonical Locale
en
Detected Body Locale
en

Perfect for Cloud Native Agents needing upfront design specifications for Kubernetes and DevOps workflows. spec is a cloud native platform reference skill for creating lightweight specifications

Core Value

Empowers agents to create lightweight specifications for changes in cloud native platforms, benefiting from upfront design using composition, infrastructure, security, and platform types, and leveraging Kubernetes and Crossplane compositions.

Ideal Agent Persona

Perfect for Cloud Native Agents needing upfront design specifications for Kubernetes and DevOps workflows.

Capabilities Granted for spec

Automating new Crossplane composition designs
Generating infrastructure change specifications for VPC, EKS, and IAM
Debugging security changes using network policies, RBAC, and PKI

! Prerequisites & Limits

  • Requires description or type inference for specification creation
  • Limited to cloud native platforms and Kubernetes workflows

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

Browser Sandbox Environment

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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 spec?

Perfect for Cloud Native Agents needing upfront design specifications for Kubernetes and DevOps workflows. spec is a cloud native platform reference skill for creating lightweight specifications

How do I install spec?

Run the command: npx killer-skills add Smana/cloud-native-ref/spec. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for spec?

Key use cases include: Automating new Crossplane composition designs, Generating infrastructure change specifications for VPC, EKS, and IAM, Debugging security changes using network policies, RBAC, and PKI.

Which IDEs are compatible with spec?

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 spec?

Requires description or type inference for specification creation. Limited to cloud native platforms and Kubernetes workflows.

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 Smana/cloud-native-ref/spec. 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 spec immediately in the current project.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

spec

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

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Spec Skill

Create lightweight specifications for changes that benefit from upfront design.

Usage

/spec "description"
/spec composition "Add Valkey caching"
/spec infrastructure "Add GPU node pool"

Types (optional): composition | infrastructure | security | platform

If type is omitted, infer from description or ask.

When to Use

  • New Crossplane compositions
  • Major infrastructure changes (VPC, EKS, IAM)
  • Security changes (network policies, RBAC, PKI)
  • Multi-component platform features

When NOT to Use

  • Version bumps, documentation-only, single-file bug fixes, minor config tweaks

Workflow

1. Generate Identifiers

bash
1# Next spec number (3 digits) 2MAX_NUM=$(find docs/specs -name "spec.md" -path "*/[0-9]*" 2>/dev/null | \ 3 sed 's|.*/\([0-9]*\)-.*|\1|' | sort -rn | head -1) 4SPEC_NUM=$(printf "%03d" $((10#${MAX_NUM:-0} + 1))) 5 6# Slug from description (3-4 meaningful words, kebab-case) 7# Filter stop words, take meaningful words, join with hyphens

2. Create GitHub Issue

bash
1ISSUE_URL=$(gh issue create \ 2 --title "[SPEC] ${TITLE}" \ 3 --label "spec,spec:draft" \ 4 --body "## Summary 5${DESCRIPTION} 6 7## Spec Directory 8\`docs/specs/${SPEC_NUM}-${SLUG}/\` 9 10--- 11_Lightweight spec. See spec file for details._") 12 13ISSUE_NUM=$(echo "$ISSUE_URL" | grep -oP 'issues/\K\d+$')

Labels used:

  • spec - All specification issues
  • spec:draft - Initial state (add manually: spec:implementing when work starts, spec:done when archived)

3. Create Spec Directory and File

bash
1SPEC_DIR="docs/specs/${SPEC_NUM}-${SLUG}" 2mkdir -p "$SPEC_DIR"

Copy template from docs/specs/templates/spec.md and fill:

  • SPEC-XXXSPEC-${SPEC_NUM}
  • #XXX#${ISSUE_NUM}
  • YYYY-MM-DD → current date
  • [Title] → from description
bash
1gh issue comment ${ISSUE_NUM} --body "Spec created: [\`${SPEC_DIR}/spec.md\`](${SPEC_DIR}/spec.md)"

5. Output

Spec created:

  Issue: https://github.com/Smana/cloud-native-ref/issues/XXX (label: spec:draft)
  Spec:  docs/specs/XXX-slug/spec.md

Next:
  1. Fill in the spec (use /clarify for [NEEDS CLARIFICATION] sections)
  2. Run /spec-status to see pipeline overview
  3. When starting work: gh issue edit XXX --remove-label "spec:draft" --add-label "spec:implementing"
  4. Implement the changes
  5. Reference in PR: "Implements #XXX"
  6. After merge: spec is auto-archived by GitHub Action

Template Location

docs/specs/templates/spec.md (~80 lines)

Clarifications

Use /clarify to resolve [NEEDS CLARIFICATION: ...] markers with structured options, or discuss conversationally with Claude.

Integration

  • /spec creates spec + issue with spec:draft label (this skill)
  • /spec-status shows pipeline overview (Draft/Implementing/Done counts)
  • /clarify resolves [NEEDS CLARIFICATION] markers with structured options
  • /create-pr auto-detects specs and references issue
  • /commit for commits
  • GitHub Action auto-archives specs on PR merge

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