A meta-skill that orchestrates specialized agents to audit logging, security, performance, and deployment for guaranteed service stability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install production-readiness
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install production-readiness using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Production Readiness?
The Production Readiness meta-skill acts as a comprehensive orchestration layer designed to ensure services are fully operational before hitting production traffic. Instead of manually checking every configuration, this skill leverages the ecosystem of Openclaw Skills to route technical concerns—such as structured logging, circuit breaking, and secret management—to specialized sub-agents. It synthesizes these granular inputs into a definitive go/no-go assessment, providing developers with a unified report on service health and reliability.
By coordinating domain expertise across logging, error handling, performance, and security, this skill eliminates the need for tribal knowledge during service handoffs. It ensures that every service observes itself, recovers automatically from transient failures, and communicates its health effectively to orchestrators, making it an essential tool for maintaining high-availability environments.
Production Readiness Use Cases
- Initial production deployment for new microservices to ensure baseline stability.
- Pre-release audits for major architectural changes or significant feature shipments.
- Quarterly reliability reviews of existing services to maintain operational standards.
- Post-incident hardening to prevent the recurrence of specific failure modes.
- Verification of service stability after major dependency, framework, or infrastructure upgrades.
How Production Readiness Works
- The skill initiates specialized sub-skills for logging, performance, and security based on the project context.
- It validates the implementation of health check endpoints, including liveness, readiness, and startup probes.
- The agent audits resilience patterns such as circuit breakers, retry policies with jitter, and outbound timeouts.
- It performs a security sweep to ensure secrets are externalized and configuration changes do not require redeployment.
- It verifies operational readiness by checking for the existence of runbooks, SLO definitions, and golden signal dashboards.
- The skill synthesizes all findings into a structured report, assigning a maturity level from L1 (MVP) to L4 (Optimized).
Production Readiness Setup
To add this meta-skill to your environment, use the Openclaw Skills hub CLI:
npx clawhub@latest install production-readiness
Production Readiness Data Schema & Taxonomy
The skill organizes its assessment data into a maturity-based taxonomy that maps specialized skill outputs to operational requirements:
| Data Category | Description |
|---|---|
| Health & Lifecycle | Results of probe checks and graceful shutdown drainage verification |
| Resilience Matrix | Audit of circuit breakers, rate limiting, and backpressure mechanisms |
| Secrets Audit | Verification of vault integration and externalized configuration status |
| Data Safety | Documentation of backup strategies, RPO/RTO, and migration reversibility |
| Operational Docs | Links to runbooks, SLOs, and escalation matrices |
| Maturity Rating | A final L1-L4 classification based on cumulative audit results |
Production Readiness Advanced Features
- Multi-agent orchestration that delegates tasks to specialized Openclaw Skills like logging-observability and security-review.
- Automated maturity progression guidance to help teams move from MVP status to Resilient and Optimized tiers.
- Integrated Incident Response framework featuring postmortem templates and severity-based escalation matrices.
- Support for advanced deployment strategies including blue-green and canary configuration reviews.
- Built-in enforcement of "Never" rules to prevent common production anti-patterns like hardcoded secrets or missing rollbacks.
SKILL.md
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