Agent skill

Devops Maturity Model

by FerroxLabs in FerroxLabs/wayland

DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap.

Apache-2.0Auto-check passedDevOps & Cloud

Install Devops Maturity Model

skills CLI
$ npx skills add FerroxLabs/wayland --skill devops-maturity-model -a claude-code

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

GitHub CLI
$ gh skill install FerroxLabs/wayland devops-maturity-model --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/FerroxLabs/wayland.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/process/resources/skills-library/bodies/skills/devops-cloud/devops-maturity-model .claude/skills/devops-maturity-model && 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
devops-maturity-model
GitHub stars
608
Token cost
~3.7k tokens
SKILL.md length
1,503 words
Files
1
Skills in repo
1,194
Repo updated
First seen
Licence
Apache-2.0

At a glance

DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap.

  • Works in 5 steps: How many production deployments happen… → What is the lead time from code commit… → What percentage of deployments cause… → …
  • The user asks about devops maturity model
  • SKILL.md covers When to Use, Questions to Ask First, Assessment Framework and Scoring Template, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Devops Maturity Model is an agent skill from FerroxLabs/wayland. DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap. Use when the user asks about devops maturity model, related techniques, best practices, or needs guidance in this domain. Do NOT use when the request is outside the scope of devops maturity model or requires a different specialized skill.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering CI/CD and Incident response. The repository describes itself as: Wayland - The AI Agent That Perceives. Reasons. Acts. Evolves. The licence is Apache-2.0.

When your agent uses it

  • The user asks about devops maturity model
  • Related techniques
  • Needs guidance in this domain
  • The request is outside the scope of devops maturity model

Example prompts

  • “Use the devops-maturity-model skill to devop practices maturity assessment evaluating CI/CD, monitoring, incident response, automation…”
  • “/devops-maturity-model”

Workflow steps

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

  1. How many production deployments happen per week/month?
  2. What is the lead time from code commit to production?
  3. What percentage of deployments cause incidents or require rollback?
  4. How many environments exist (dev, staging, production)?
  5. What is the current deployment process (manual, semi-automated, fully automated)?

What it can do on your machine

Read from SKILL.md and the folder at commit 4c030c7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and template).

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

  • Network

    No URLs in SKILL.md.

    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.

Context cost

Devops Maturity Model loads about 3.7k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 1,503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from FerroxLabs/wayland at commit 4c030c7, republished under its Apache-2.0 licence (© FerroxLabs). 1,503 words, ~3,665 tokens.

Download SKILL.mdSave it as .claude/skills/devops-maturity-model/SKILL.md (or your agent's skills folder).
name
devops-maturity-model
description
DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap. Use when the user asks about devops maturity model, related techniques, best practices, or needs guidance in this domain. Do NOT use when the request is outside the scope of devops maturity model or requires a different specialized skill.
license
Apache-2.0
metadata.author
foundry-skills
metadata.version
1.0.0
metadata.tags
assessment devops template testing automation analysis planning
metadata.category
devops-cloud
metadata.subcategory
cloud-infrastructure
metadata.disclaimer
none
metadata.difficulty
intermediate

DevOps Maturity Model

You are a senior DevOps consultant specializing in organizational maturity assessments. Your role is to evaluate an organization's DevOps practices across continuous integration, continuous delivery, monitoring, incident management, automation, and culture to produce a structured maturity scorecard. You measure the reality of daily operations, not the aspirations in slide decks.

When to Use

Use this skill when:

  • User asks about devops maturity model techniques or best practices
  • User needs guidance on devops maturity model concepts
  • User wants to implement or improve their approach to devops maturity model

Do NOT use when:

  • The request falls outside the scope of devops maturity model
  • User needs a different specialized skill for their specific situation
  • The topic requires professional consultation beyond general guidance

Questions to Ask First

Delivery Context
  1. How many production deployments happen per week/month?
  2. What is the lead time from code commit to production?
  3. What percentage of deployments cause incidents or require rollback?
  4. How many environments exist (dev, staging, production)?
  5. What is the current deployment process (manual, semi-automated, fully automated)?
Team Context
  1. How many developers and operations engineers are on the team?
  2. Are development and operations separate teams or integrated?
  3. Who has access to deploy to production?
  4. Is there an on-call rotation? How is it structured?
  5. What is the average tenure of team members?
Tooling Context
  1. What source control system is used?
  2. What CI/CD tools are in place?
  3. What monitoring and alerting tools are used?
  4. What incident management tools are used?
  5. What infrastructure management tools are used?

Assessment Framework

Maturity Levels

Level 1: Initial - Processes are ad hoc and chaotic. Success depends on individual effort. Deployments are events. Operations is firefighting.

Level 2: Managed - Basic processes are established. Some automation exists. Deployments are planned. Monitoring covers basics. Siloed teams.

Level 3: Defined - Processes are documented and standardized. CI/CD is the norm. Monitoring is comprehensive. Teams collaborate regularly.

Level 4: Measured - Processes are measured and controlled. Data drives decisions. Proactive operations. Teams share ownership.

Level 5: Optimized - Continuous improvement culture. Innovation is rapid and safe. Operations is effortless. Engineering excellence is the norm.

Dimension 1: Continuous Integration (Weight: 15%)
ScoreCriteria
1No CI. Developers integrate manually. Build-breaking commits are common. No automated tests. Integration is painful.
2CI server exists. Builds trigger on commit. Some automated tests. Broken builds persist for hours.
3CI runs on every PR. Comprehensive test suite. Builds must pass before merge. Build times <15 minutes.
4Fast CI (<10 minutes). Parallel test execution. Code quality gates. Security scanning. Dependency checking.
5CI is invisible and instant (<5 minutes). Trunk-based development. Pre-merge validation. Automated code review assistance.
What to Evaluate
  • CI pipeline existence and trigger configuration
  • Build success rate over last 30 days
  • Average build time
  • Test coverage enforced in CI
  • Code quality checks (linting, SAST, dependency scanning)
  • Branch strategy and integration frequency
Dimension 2: Continuous Delivery and Deployment (Weight: 20%)
ScoreCriteria
1Manual deployments. Deployment runbooks with 50+ steps. Deployments take hours. Downtime required. Deployments are stressful events.
2Scripted deployments. Some automation. Deployment windows scheduled. 30-60 minutes per deployment. Some downtime.
3Automated deployment pipeline. One-click or scheduled deployments. Zero-downtime for most services. Feature flags for risky changes.
4Continuous delivery to staging. Push-button production deployment. Canary or blue-green deployments. Automated rollback on failure.
5Continuous deployment to production. Multiple deployments per day. Progressive rollouts. Automated verification. Deployment is a non-event.
What to Evaluate
  • Deployment frequency (per day, week, month)
  • Deployment automation level
  • Deployment duration
  • Downtime during deployment
  • Rollback capability and speed
  • Feature flag usage
  • Deployment strategy (rolling, blue-green, canary)
Dimension 3: Monitoring and Observability (Weight: 15%)
ScoreCriteria
1No monitoring. Problems discovered by users. No logs. No metrics. Flying blind.
2Basic uptime monitoring. Server metrics (CPU, memory). Some application logs. Noisy alerts.
3Application-level monitoring. Centralized logging. Meaningful alerts with runbooks. APM for key services.
4Full observability (metrics, logs, traces). SLO-based alerting. Dashboards for all services. Anomaly detection.
5Unified observability platform. Automated root cause analysis. Predictive alerting. Business metrics correlated with system metrics.
What to Evaluate
  • Infrastructure monitoring coverage
  • Application Performance Monitoring (APM) coverage
  • Log aggregation and search capability
  • Distributed tracing implementation
  • Alert quality (signal-to-noise ratio)
  • Dashboard coverage and utility
  • SLO/SLI definitions and tracking
Dimension 4: Incident Management (Weight: 15%)
ScoreCriteria
1No incident process. Chaos during incidents. No on-call. No postmortems. Same incidents repeat.
2Basic on-call exists. Ad hoc incident response. Some postmortems. No severity classification.
3Defined incident process. Severity levels. On-call rotation with escalation. Postmortems for major incidents.
4Structured incident command. Automated alerting and paging. Comprehensive postmortems. Action items tracked. MTTR <30 minutes.
5Exemplary incident management. Automated remediation for known issues. Blameless culture. Chaos engineering. Learning from every incident.
Key Metrics to Evaluate
  • Mean Time to Detect (MTTD)
  • Mean Time to Acknowledge (MTTA)
  • Mean Time to Resolve (MTTR)
  • Incident frequency by severity
  • Postmortem completion rate
  • Action item completion rate
  • Repeat incident rate
Dimension 5: Infrastructure Automation (Weight: 15%)
ScoreCriteria
1All infrastructure manual. Console clicks. Snowflake servers. No documentation.
2Some scripts. Partial automation. Mix of manual and automated. Configuration drift.
3Infrastructure as Code for most resources. Version controlled. Automated provisioning.
4All infrastructure as code. Automated testing. Policy as code. Self-service provisioning. Drift detection.
5Dynamic infrastructure. Auto-scaling. Self-healing. Zero-touch operations. Cost-optimized.
Show full SKILL.md (613 more words)Show less
Dimension 6: Collaboration and Culture (Weight: 10%)
ScoreCriteria
1Dev and Ops are adversaries. Blame culture. Knowledge silos. No shared goals. "Throw it over the wall."
2Some collaboration on major projects. Shared Slack channels. Occasional joint meetings. Still "us vs them."
3Cross-functional teams. Shared on-call. Joint planning. Blameless postmortems. Common tooling.
4Full shared ownership. "You build it, you run it." Empathy across roles. Continuous learning. Psychological safety.
5Engineering excellence culture. Everyone contributes to platform. Internal tech talks. Innovation time. Community of practice.
Dimension 7: Security Integration (DevSecOps) (Weight: 10%)
ScoreCriteria
1Security is a gate at the end. No automated scanning. Security team reviews sporadically.
2Basic security scanning exists. Annual penetration tests. Security requirements are vague.
3SAST/DAST in CI/CD pipeline. Dependency scanning. Security requirements in user stories.
4Security champions in dev teams. Automated compliance checks. Threat modeling for new features. Container scanning.
5Security is everyone's job. Continuous security validation. Automated policy enforcement. Bug bounty. Red team exercises.

Scoring Template

Dimension                          Score (1-5)  Weight   Weighted
───────────────────────────────────────────────────────────────────
Continuous Integration             [   ]        x 0.15 = [      ]
Continuous Delivery/Deployment     [   ]        x 0.20 = [      ]
Monitoring and Observability       [   ]        x 0.15 = [      ]
Incident Management                [   ]        x 0.15 = [      ]
Infrastructure Automation          [   ]        x 0.15 = [      ]
Collaboration and Culture          [   ]        x 0.10 = [      ]
Security Integration (DevSecOps)   [   ]        x 0.10 = [      ]
───────────────────────────────────────────────────────────────────
TOTAL DEVOPS MATURITY SCORE                              [      ] / 5.0
DORA Metrics Benchmark

Compare against industry benchmarks:

MetricEliteHighMediumLow
Deployment FrequencyOn-demand (multiple/day)Weekly-monthlyMonthly-quarterlyQuarterly-yearly
Lead Time for Changes<1 hour1 day-1 week1 week-1 month1-6 months
Change Failure Rate<5%5-10%10-15%>15%
MTTR<1 hour<1 day<1 week>1 week

Results Interpretation

Score RangeMaturity LevelInterpretation
4.5 - 5.0Level 5: OptimizedEngineering excellence. DevOps is a competitive advantage.
3.5 - 4.4Level 4: MeasuredStrong practices. Data-driven improvement. Minor gaps remain.
2.5 - 3.4Level 3: DefinedSolid foundation. Practices are standardized. Ready to measure and improve.
1.5 - 2.4Level 2: ManagedBasic processes in place. Significant automation and cultural gaps.
1.0 - 1.4Level 1: InitialAd hoc operations. High risk. Urgent investment needed.

Improvement Roadmap by Level

Level 1 to 2 (3-6 months)
  • Set up CI for all repositories
  • Automate the deployment process (even if not yet continuous)
  • Implement basic monitoring and alerting
  • Establish an on-call rotation
  • Start doing postmortems for all outages
Level 2 to 3 (6-12 months)
  • Achieve automated deployments for all services
  • Implement comprehensive monitoring and centralized logging
  • Define and enforce code quality gates in CI
  • Standardize incident response process
  • Move infrastructure to code
Level 3 to 4 (6-12 months)
  • Implement canary or blue-green deployments
  • Define SLOs and implement SLO-based alerting
  • Track and improve DORA metrics
  • Integrate security into CI/CD pipeline
  • Build self-service infrastructure provisioning
Level 4 to 5 (12+ months)
  • Achieve continuous deployment
  • Implement chaos engineering
  • Build automated remediation for common incidents
  • Establish engineering excellence culture
  • Optimize for developer experience and productivity

Report Template

markdown
# DevOps Maturity Assessment - [Team/Organization]
**Assessment Date**: [Date]
**Assessed By**: [Name/Role]
**Team Size**: [Number]
**Service Count**: [Number]

## Executive Summary
[2-3 sentences on overall maturity, key findings, and primary recommendation]

## Overall Maturity: Level [X] (Score: [X.X] / 5.0)

## DORA Metrics
| Metric | Current | Target | Industry Benchmark |
|--------|---------|--------|--------------------|
| Deployment Frequency | | | |
| Lead Time | | | |
| Change Failure Rate | | | |
| MTTR | | | |

## Dimension Scores
[Completed scoring table]

## Strengths
- [Top strengths]

## Improvement Areas
- [Top improvement areas]

## 90-Day Improvement Plan
1. [Initiative] - Owner: [person] - Expected outcome: [result]
2. [Initiative] - Owner: [person] - Expected outcome: [result]

## Next Assessment Date: [Date - recommend quarterly]

Process

  1. Gather information. Ask the user clarifying questions to understand their specific situation, goals, and constraints
  2. Analyze context. Review the information provided and identify key factors relevant to devops maturity model
  3. Develop recommendations. Apply domain expertise to create actionable guidance tailored to the user's needs
  4. Present structured output. Deliver findings in the output format below with clear next steps
  5. Address follow-ups. Answer additional questions and refine recommendations based on feedback

Output Format

template
## Devops Maturity Model Analysis

### Assessment
[Key findings and observations]

### Recommendations
1. [Primary recommendation]
2. [Secondary recommendation]
3. [Additional suggestions]

### Action Items
- [ ] [First action step]
- [ ] [Second action step]
- [ ] [Follow-up task]

Edge Cases

  • Incomplete information: Ask clarifying questions before proceeding with recommendations
  • Conflicting requirements: Prioritize the most critical constraint and note trade-offs
  • Out of scope requests: Redirect to appropriate specialized skill or professional resource
  • Beginner vs advanced: Adjust depth and terminology based on user's experience level

Example

Input: "Help me with devops maturity model for my current situation"

Output:

Based on your situation, here is a structured approach to devops maturity model:

  1. Assessment: Evaluate your current state and identify key areas for improvement
  2. Strategy: Develop a targeted plan based on best practices
  3. Implementation: Execute the plan with specific, measurable steps
  4. Review: Monitor progress and adjust as needed

© FerroxLabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in src/process/resources/skills-library/bodies/skills/devops-cloud/devops-maturity-model of FerroxLabs/wayland.

Open the folder on GitHubat commit 4c030c7

Compare with similar skills

Devops Maturity Model 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.

Devops Maturity Model compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Devops Maturity Model this skillFerroxLabs/wayland608—~3.7kAutomated safety check: PassApache-2.0
Devops EngineerYikai-Liao/symusic1891 repos~1.5kAutomated safety check: PassMIT
TMDb Integration Failure Fixeradamayoung/TMDb178—~2.7kAutomated safety check: PassApache-2.0
Release Itwondelai/skills2.4k—~4kAutomated safety check: PassMIT
Delivery Managerborghei/Claude-Skills874—~2.2kAutomated safety check: PassMIT
Cicd Playbookmohitagw15856/pm-claude-skills1.4k—~2.9kAutomated safety check: NotesMIT

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Categories

Questions about Devops Maturity Model

What does Devops Maturity Model do?

DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap. Devops Maturity Model is an agent skill from FerroxLabs/wayland. DevOps practices maturity assessment evaluating CI/CD, monitoring, incident response, automation, collaboration, and culture to produce a maturity scorecard with an improvement roadmap.

When should I use Devops Maturity Model?

Devops Maturity Model fits situations like: the user asks about devops maturity model; related techniques; needs guidance in this domain; the request is outside the scope of devops maturity model.

How do I install Devops Maturity Model in Claude Code?

Run `npx skills add FerroxLabs/wayland --skill devops-maturity-model -a claude-code`. Or copy the skill folder (src/process/resources/skills-library/bodies/skills/devops-cloud/devops-maturity-model in FerroxLabs/wayland) into .claude/skills/devops-maturity-model in your project. Claude Code loads it when a task matches its description.

How do I install Devops Maturity Model in Codex?

Run `npx skills add FerroxLabs/wayland --skill devops-maturity-model -a codex`. Or copy the skill folder (src/process/resources/skills-library/bodies/skills/devops-cloud/devops-maturity-model in FerroxLabs/wayland) into .agents/skills/devops-maturity-model in your project. Codex loads it when a task matches its description.

Can I use Devops Maturity Model 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 FerroxLabs/wayland --skill devops-maturity-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/devops-maturity-model, .gemini/skills/devops-maturity-model, .github/skills/devops-maturity-model and .opencode/skills/devops-maturity-model in your project.

What does Devops Maturity Model need to run?

SKILL.md names no scripts, command-line tools or credentials: Devops Maturity Model is instructions for the agent only.

Does Devops Maturity Model access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Devops Maturity Model 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. Review the folder before installing.

What licence does Devops Maturity Model use?

Devops Maturity Model is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Devops Maturity Model use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Devops Maturity Model?

Skills that share tags, products or a category with Devops Maturity Model: Devops Engineer (Yikai-Liao/symusic, 189 stars), TMDb Integration Failure Fixer (adamayoung/TMDb, 178 stars), Release It (wondelai/skills, 2.4k stars) and Delivery Manager (borghei/Claude-Skills, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Devops Maturity Model?

FerroxLabs (a GitHub user) maintains it in FerroxLabs/wayland, which has 608 GitHub stars. The repository holds 1,194 skills in this directory. The repository was last updated on October 6, 2026.

Source: FerroxLabs/wayland on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.