production — Agentic AI implementation production, OpenPaw, community, Agentic AI implementation, ide skills, OpenRouter integration, production readiness check, BROWNFIELD.md update, codebase scanning, feature directory management

v1.0.0

About this Skill

Perfect for AI Agents needing streamlined production readiness checks and strategy alignment verification. Production is a skill that focuses on implementation status and strategy alignment for production deployment, ensuring seamless integration of custom tools and dashboards

Features

Scans codebase to identify implemented features via routes and pages
Updates BROWNFIELD.md to reflect feature directories and user-facing components
Compares implemented features against last production deployment
Assesses documentation impact for production readiness
Utilizes Agentic AI and OpenRouter for custom tool integration

# Core Topics

WynterJones WynterJones
[2]
[0]
Updated: 3/4/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
8/11
Quality Score
45
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing streamlined production readiness checks and strategy alignment verification. Production is a skill that focuses on implementation status and strategy alignment for production deployment, ensuring seamless integration of custom tools and dashboards

Core Value

Empowers agents to orchestrate custom tools and dashboards powered by Agentic AI and OpenRouter, ensuring feature completion verification and documentation impact assessment through production readiness checks and strategy alignment.

Ideal Agent Persona

Perfect for AI Agents needing streamlined production readiness checks and strategy alignment verification.

Capabilities Granted for production

Automating production deployment checks
Verifying feature completion and strategy alignment
Assessing documentation impact before production deployment

! Prerequisites & Limits

  • Requires Agentic AI and OpenRouter integration
  • Needs access to codebase for scanning and updating
  • Limited to production environment checks

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

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.

Curated Collection Review

Reviewed In Curated Collections

This section shows how Killer-Skills has already collected, reviewed, and maintained this skill inside first-party curated paths. For operators and crawlers alike, this is a stronger signal than treating the upstream README as the primary story.

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.

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 production?

Perfect for AI Agents needing streamlined production readiness checks and strategy alignment verification. Production is a skill that focuses on implementation status and strategy alignment for production deployment, ensuring seamless integration of custom tools and dashboards

How do I install production?

Run the command: npx killer-skills add WynterJones/OpenPaw/production. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for production?

Key use cases include: Automating production deployment checks, Verifying feature completion and strategy alignment, Assessing documentation impact before production deployment.

Which IDEs are compatible with production?

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 production?

Requires Agentic AI and OpenRouter integration. Needs access to codebase for scanning and updating. Limited to production environment checks.

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 WynterJones/OpenPaw/production. 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 production immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

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

production

Get ready for production deployment with our AI agent skill, featuring implementation status checks and strategy alignment for seamless custom tool...

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

Production Skill

Production readiness check focusing on implementation status and strategy alignment.

When to Use

  • Before production deployment
  • Feature completion verification
  • Strategy alignment check
  • Documentation impact assessment

Workflow

Step 1: Update BROWNFIELD.md

Scan codebase and update _OFFICE/BROWNFIELD.md:

  1. Identify implemented features:

    • Check routes and pages
    • Find feature directories
    • Look for user-facing components
  2. Compare against last production snapshot

  3. Document changes:

    • Added: New features since last production
    • Removed: Features that were removed
    • Modified: Significant changes
  4. Update Production History table

Step 2: Check Documentation Impacts

Scan changes against documentation:

USER_GUIDE.md:

  • List features needing documentation updates
  • Identify new features without docs

ONBOARDING.md:

  • Check if onboarding elements need updates
  • Identify new flows without guidance

Step 3: Check GREENFIELD Alignment

Compare vision against implementation:

  1. Read _OFFICE/GREENFIELD.md (vision)
  2. Read _OFFICE/BROWNFIELD.md (reality)
  3. Assess alignment: High / Medium / Low
  4. Ask user about any perceived misalignment
  5. Document strategy changes if needed

Step 4: Generate Readiness Report

## Production Readiness: Implementation Check

### BROWNFIELD Status
- Last Updated: YYYY-MM-DD
- New Features: X added
- Removed Features: X removed
- Modified Features: X changed

### Documentation Impact
- USER_GUIDE.md needs updates: [list or "None"]
- ONBOARDING.md needs updates: [list or "None"]

### Strategy Alignment
- GREENFIELD vision: [summary]
- BROWNFIELD reality: [summary]
- Alignment: High/Medium/Low

### Recommendation
[Ready for production / Needs attention: ...]

Step 5: Confirm with User

Ask: "Production check complete. Ready to proceed with deployment?" Wait for explicit confirmation.

Important

This skill checks implementation status. Use /push for code quality gates and pushing to remote.

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