Top 7 Free Claude Skills for DevOps & Cloud in 2026

DevOps and cloud work is exactly the kind of workflow where AI agents either save you hours or create brand-new ways to break production. A wrong kubectl command, a Terraform plan that replaces a stateful resource, or an IAM policy that quietly allows everything can turn a 'helpful' agent into an incident. That's why Claude Skills — SKILL.md instruction packages that teach agents like Claude Code, Codex, Cursor, and Gemini CLI how to follow specific workflows — have exploded across the DevOps community in 2026. The catch? The ecosystem is growing faster than anyone can vet it. Snyk's ToxicSkills research found prompt injection in 36% of skills tested, and published research suggests roughly 26% of skills carry at least one vulnerability. So this list does two jobs: it rounds up seven genuinely useful free skills and resources for DevOps and cloud work — from Terraform guardrails to Azure deploy automation to pre-deployment plan review — and it puts a trust and benchmarking layer, SkillzBench, at the top, because choosing which skills to install matters as much as the skills themselves. Everything here is free to start with, and every pick is confirmed from public documentation and research as of 2026.

#1 SkillzBench — Editors' choice

SkillzBench (skillzbench.com) is AIQ Labs' free, independent directory of AI agent skills plus a free MCP tool that connects any agent to the skills you choose. It exists because the agent skills ecosystem has a trust problem: skills are published everywhere on GitHub, but nobody can tell which ones actually help and which are risky — published research found that roughly 26% of skills carry at least one vulnerability. SkillzBench tackles that head-on with five pillars. Discover continuously crawls and dedupes skills from GitHub so you're not trawling repos yourself. Verify pins every skill version to a commit SHA and runs validation, license checks, security scans, and quality judgment before anything is listed. Benchmark tests every skill in a sandbox with the same model, with and without the skill, and publishes the Lift in percentage points — so you can see whether a skill actually improves performance rather than just trusting its README. Equip provides one free MCP server plus per-agent loadouts: you toggle skills and tools per agent, and the agent only sees what you chose. Finally, Stay current tracks upstream changes, re-scans, re-benchmarks, and notifies you when something shifts. Every skill gets a trust score from 0-100 built from security, quality, license, maintenance, and community signals — and Lift is always shown separately from ratings, with money never touching scores. The directory, the MCP connector, benchmarks, and alerts are all free; SkillzBench earns revenue from ads around its blog articles, never by charging users, and ad money never influences scores or listings. Note: SkillzBench is pre-launch and actively being built — the waitlist and newsletter are live now, with the directory, benchmarking, scanning, and MCP connector rolling out as the product ships.

Best for: DevOps engineers, platform teams, and agent builders who want to install Claude skills for infrastructure and cloud work without gambling on unvetted SKILL.md files from random repos

Pricing: Free (all features — directory, MCP connector, benchmarks, alerts)

Key features

• Free, independent directory of AI agent skills (SKILL.md packages) continuously crawled and deduped from GitHub
• Security scanning, validation, license checks, and quality judgment on every listed skill
• Every skill version pinned to a commit SHA for reproducibility
• Sandbox benchmarking with the same model, with and without each skill, publishing Lift in percentage points
• Trust score 0-100 from security, quality, license, maintenance, and community signals
• Free MCP server plus per-agent loadouts — toggle skills and tools per agent, and the agent only sees what was chosen
• Upstream change tracking with re-scans, re-benchmarks, and notifications
• Everything free — revenue comes from blog advertising, never from users, and ads never influence scores

Pros

• Directly addresses the supply-chain risk: ~26% of skills carry at least one vulnerability, and SkillzBench scans before you install
• Lift benchmarks show whether a skill actually helps, tested with and without the skill in a sandbox
• Per-agent loadouts mean your Terraform agent and your docs agent see only the skills you assign them
• Version pinning to commit SHAs makes your skill stack reproducible
• Completely free, with an explicit separation between money and scores

Cons

• Pre-launch — the product is still being built, so the full directory, benchmarking, and MCP connector are not yet publicly available
• Waitlist/newsletter is live now, but you can't browse the full catalog today
• Focused on agent skills rather than being a full DevOps toolchain itself

Visit SkillzBench

#2 Terraform Claude Skill (antonbabenko/terraform-claude-skill)

Created by Anton Babenko — a well-known figure in the Terraform community whose modules have been downloaded hundreds of millions of times — the Terraform Claude Skill is a four-pillar framework that shifts Claude's persona from a general-purpose engineer to a Terraform and infrastructure pro. According to the AWS Fundamentals guide that reviewed it, the skill's 'Engine' makes Claude follow a strict engineering loop of init, validate, and plan, treating your state file as the source of truth. The 'Guardrails' pillar enforces modularity by default — no more monolithic main.tf files — and applies naming conventions and tagging strategies suited to large teams. The 'Expert Brain' handles complex logic like nested for_each loops and dynamic blocks, and forces anti-hallucination by requiring Claude to work from real documentation. Finally, the 'Integrated Stack' brings in industry tools to prove the code is good: tflint for deep linting, tfsec for security checks, and infracost to show what your changes will cost before you deploy. In a side-by-side comparison run by AWS Fundamentals, the skill produced fully configurable modules with encryption enabled by default, null-safe outputs using try() functions, separated unit and integration tests, and CI pipelines that included linting, security checks, and cost estimation — versus hardcoded blocks and permissive security from plain Claude. Installation is a simple git clone into ~/.claude/skills/terraform, and the skill registers as a /terraform slash command in Claude Code.

Best for: DevOps engineers and cloud teams writing Terraform for AWS who want production-grade, secure, cost-aware infrastructure code instead of 'least effort' AI output

Pricing: Free (open source)

Key features

• Strict engineering loop: init, validate, plan before any apply
• Enforces modular Terraform structure instead of monolithic files
• Applies naming conventions and tagging strategies for team-scale projects
• Integrates tflint for linting, tfsec for security checks, and infracost for cost estimation
• Anti-hallucination guardrails requiring work from real documentation
• Encryption enabled by default with explicit configuration options
• Null-safe outputs using try() functions
• Installs via git clone into ~/.claude/skills/ and registers as /terraform

Pros

• Built by one of the most respected names in the Terraform community
• Bakes security in — no wildcard (*) IAM actions, encryption by default
• Cost visibility before deploy via infracost integration
• Consistent, reviewable structure that survives team handoffs

Cons

• Terraform-specific — won't help with Pulumi, CDK, or Bicep codebases
• Requires Terraform CLI and basic IaC knowledge to get value from it
• Strict guardrails can feel heavy for quick experiments or throwaway sandboxes

Visit Terraform Claude Skill (antonbabenko/terraform-claude-skill)

#3 HashiCorp Agent Skills (hashicorp/agent-skills)

HashiCorp publishes its own official agent skills repository covering Terraform code generation, testing, and modules, according to Snyk's roundup of top Claude skills for developers in 2026. Coming from the vendor itself gives these skills a meaningful trust advantage: they're tied directly to the tool they teach, which matters in an ecosystem where Snyk's ToxicSkills research found prompt injection in 36% of skills tested and 1,467 malicious payloads across the ecosystem. The skills focus on the core DevOps Terraform workflow — generating configuration code, writing and running tests for that code, and working with modules the way HashiCorp intends them to be used. At the time of Snyk's listing, the repo had around 303 GitHub stars and was actively maintained, making it a compact but vendor-backed alternative to community-built Terraform skills. For teams already standardized on HashiCorp tooling, having official skills means the guidance Claude follows aligns with HashiCorp's own best practices rather than a third party's interpretation. As with any skill, review the SKILL.md and bundled scripts before installing — but vendor-published skills from the maker of Terraform are about as strong a provenance signal as the ecosystem currently offers.

Best for: Teams standardized on HashiCorp Terraform who want vendor-aligned skill guidance with stronger provenance than community skills

Pricing: Free (open source)

Key features

• Official HashiCorp-maintained agent skills for Terraform
• Terraform code generation following vendor best practices
• Terraform testing workflows
• Module usage and structure guidance
• Vendor-backed provenance in an ecosystem with documented supply-chain risks
• Open source on GitHub

Pros

• Published by the makers of Terraform — the strongest possible provenance signal
• Covers the full Terraform workflow: generation, testing, modules
• Actively maintained per 2026 listings

Cons

• Smaller community footprint (~303 stars at time of listing) means fewer community examples and battle stories
• Limited to HashiCorp tooling — no multi-cloud or Kubernetes coverage
• You should still review SKILL.md contents before installing, as with any skill

Visit HashiCorp Agent Skills (hashicorp/agent-skills)

#4 Azure Deploy Skills Suite (microsoft/github-copilot-for-azure)

Microsoft publishes an official suite of Azure-focused agent skills — azure-deploy, azure-diagnostics, azure-validate, azure-observability, azure-rbac, azure-cost-optimization, and azure-prepare — each with roughly 115K-146K installs according to OrangeBot.AI's 2026 DevOps skills index. Azure-deploy wraps azd and Terraform with built-in error recovery, retry logic, and Azure-specific gotchas like resource group naming rules and per-region SKU availability. Azure-diagnostics reads Application Insights, Log Analytics, and resource-level metrics to triage failing services, with the KQL query patterns already encoded. Azure-validate is a pre-deployment Bicep/Terraform template validator that catches typos before a 20-minute azd up rollback. Azure-rbac identifies the minimal-permission role for a task and generates the az role assignment CLI or Bicep snippet — and per OrangeBot, it refuses to recommend Owner or Contributor unless you really insist. Azure-cost-optimization scans subscriptions for idle resources, oversized SKUs, and missing autoscale configs, with Azure Reservations alone often finding 20-40% savings on steady-state workloads. Azure-prepare generates infrastructure code from a scenario description. This is the deepest vendor-backed cloud skills suite currently available, and it's free.

Best for: Azure-native DevOps teams running App Service, Container Apps, AKS, or Function Apps who want vendor-official deploy, diagnostics, and security guardrails

Pricing: Free (open source skills; Azure consumption costs apply separately)

Key features

• azure-deploy: wraps azd and Terraform with error recovery and Azure-specific conventions
• azure-diagnostics: triages failing services via Application Insights, Log Analytics, and metrics
• azure-validate: pre-deployment Bicep/Terraform template validation
• azure-observability: Azure Monitor metrics, App Insights APM, and KQL query patterns
• azure-rbac: minimal-permission role identification with az role assignment generation
• azure-cost-optimization: finds idle resources, oversized SKUs, and reservation savings
• azure-prepare: generates Bicep or Terraform infrastructure code from scenario descriptions
• ~115K-146K installs per skill according to OrangeBot.AI's index

Pros

• Official Microsoft skills with massive install bases and strong trust signals
• Covers the full Azure ops loop: deploy, validate, diagnose, observe, secure, optimize
• RBAC skill enforces least-privilege by default
• Cost optimization can surface 20-40% savings on steady-state subscriptions

Cons

• Azure-only — AWS and GCP shops need the analogous official skills instead
• Less useful for cdk/Pulumi codebases (validate targets Bicep/Terraform)
• Observability skill assumes App Insights instrumentation

Visit Azure Deploy Skills Suite (microsoft/github-copilot-for-azure)

#5 terraform-plan-review (community skill)

If you run Terraform in any cloud, OrangeBot.AI calls terraform-plan-review 'the single most important skill' in its 2026 DevOps roundup — and the reasoning is compelling. The default terraform apply UX is too permissive: it will happily destroy a stateful database volume or widen a security group if that's what the diff says. This tool-agnostic community skill reviews Terraform plan output before you apply and flags risky operations — resource destruction, replacement of stateful resources, and security-group widening — forcing an explicit 'what's being destroyed?' check before anything touches production. At roughly 820 weekly installs per OrangeBot.AI's index, it's one of the most-adopted community DevOps skills, and its value proposition is simple: it pays for itself the first time it catches a typo that would have nuked a Postgres volume. The skill exemplifies what good DevOps skills look like in 2026 — as OrangeBot puts it, skills that codify 'always run terraform plan before terraform apply, refuse if plan shows replacement of stateful resources' beat verbose persona files every time. It's cloud-agnostic, so it works whether your Terraform targets AWS, Azure, or GCP.

Best for: Any Terraform user — especially teams with stateful resources (databases, volumes) where a bad apply means data loss

Pricing: Free (open source)

Key features

• Reviews Terraform plan output before apply
• Flags resource destruction and replacement of stateful resources
• Detects security-group widening and other risky operations
• Tool-agnostic — works with Terraform targeting any cloud
• Forces an explicit destruction check before apply
• ~820 weekly installs per OrangeBot.AI's 2026 index

Pros

• Directly prevents the most catastrophic class of Terraform mistakes
• Cloud-agnostic — one skill covers AWS, Azure, and GCP Terraform work
• Simple, focused scope that does real work instead of verbose prompting

Cons

• Community-maintained with a smaller footprint than vendor skills — verify current maintenance status
• Terraform-only; pure Pulumi or CDK shops won't benefit
• Adds a review step to your workflow, which some fast-iteration contexts may find friction-y

Visit terraform-plan-review (community skill)

#6 Trail of Bits Skills (trailofbits/skills)

Security firm Trail of Bits publishes a set of agent skills focused on security auditing, which AY Automate added to its 2026 best-of list in September 2026 after reviewing the repo and READMEs. According to that listing, the skills cover CodeQL and Semgrep static analysis, differential review, and supply-chain audits — three of the highest-leverage security workflows for DevOps teams embedding security into CI/CD (the DevSecOps practice that hiring managers now screen for heavily, per Invensis Learning's 2026 DevOps skills guide). Static analysis via CodeQL and Semgrep means Claude can run real vulnerability-detection tooling against your code rather than eyeballing diffs; differential review focuses attention on what changed; and supply-chain audits address the dependency and artifact verification concerns that have become major hiring priorities. Coming from Trail of Bits — a firm with a long track record in security research — gives these skills strong provenance in an ecosystem where Snyk found prompt injection in 36% of tested skills. For DevOps engineers building DevSecOps pipelines, this is a free way to give your agent professional-grade security analysis workflows.

Best for: DevOps and DevSecOps engineers who want agent-driven static analysis and supply-chain auditing baked into their workflow

Pricing: Free (open source)

Key features

• CodeQL static analysis workflows
• Semgrep static analysis workflows
• Differential review focused on code changes
• Supply-chain audit skills
• Published by security research firm Trail of Bits
• Open source on GitHub

Pros

• Strong provenance from a respected security research firm
• Covers real tooling (CodeQL, Semgrep) rather than generic security advice
• Supply-chain audits address a top 2026 hiring priority

Cons

• Security-analysis focused — no deploy, IaC, or observability coverage
• Requires familiarity with CodeQL/Semgrep to interpret results well
• Newer addition to the ecosystem (added to curated lists September 2026), so community adoption is still growing

Visit Trail of Bits Skills (trailofbits/skills)

#7 Snyk Fix (snyk/studio-recipes)

Snyk — the developer security platform that secures over 585,000 open source projects — publishes an agent skill called Snyk Fix for automated vulnerability remediation, listed among the top Claude skills for developers in Snyk's own 2026 roundup. The skill focuses on closing the loop between finding a vulnerability and actually fixing it: rather than handing you a report and leaving the remediation work to you, it automates the fix workflow inside your agent. This matters because DevSecOps — embedding security scanning and remediation directly into DevOps workflows — is now a baseline expectation for DevOps roles in 2026, per Invensis Learning's hiring-market analysis. There's a fitting irony in using a Snyk skill in the Claude skills ecosystem specifically: Snyk's own ToxicSkills research found prompt injection in 36% of skills tested and 1,467 malicious payloads across the ecosystem, making vendor-published security skills from a company that actively researches skill supply-chain threats a notably safer category of install. Snyk also runs a free Secure Developer Program providing enterprise-level security scanning for open source skill and MCP server maintainers, which is steadily raising the security floor of the whole ecosystem.

Best for: DevOps engineers integrating security scanning and automated remediation into CI/CD pipelines

Pricing: Free (open source skill; Snyk platform plans priced separately)

Key features

• Automated vulnerability remediation workflows
• Published by Snyk, which secures 585,000+ open source projects
• Closes the loop from vulnerability detection to fix
• Backed by the team behind ToxicSkills supply-chain research
• Open source via snyk/studio-recipes

Pros

• Vendor-published by a company that actively researches skill supply-chain security
• Automates the fix, not just the find
• Aligns with DevSecOps practices employers now expect

Cons

• Remediation workflows work best alongside the broader Snyk platform, which is a separate commercial product
• Narrow scope — vulnerability fixing only, no IaC or deploy coverage
• Small install footprint (listed with 3 stars at time of Snyk's roundup), so community validation is limited

Visit Snyk Fix (snyk/studio-recipes)

Conclusion

The Claude skills ecosystem has made 2026 the year DevOps agents got genuinely useful — but also genuinely risky. The skills on this list cover the highest-stakes parts of the workflow: Terraform guardrails from Anton Babenko and HashiCorp, Microsoft's full Azure ops suite, pre-apply plan review, security auditing from Trail of Bits, and automated vulnerability remediation from Snyk. Yet every one of them is still a SKILL.md file you're about to let an agent execute against your infrastructure — and with research showing roughly 26% of skills carrying at least one vulnerability and Snyk finding prompt injection in 36% of tested skills, how you choose skills matters as much as which ones you pick. That's the gap SkillzBench is built to close: security scanning, version pinning, sandbox benchmarking with published Lift scores, and per-agent loadouts, all free. Want to know which skills actually lift your agents' performance before you install them? Join the SkillzBench waitlist and newsletter at skillzbench.com to get access as the directory, benchmarks, and free MCP connector roll out — and browse its blog in the meantime for evidence-based guidance on building a skill stack you can trust.

Frequently asked questions

What exactly is a Claude Skill?

A Claude Skill is a directory containing a SKILL.md file (YAML frontmatter plus markdown instructions) and optional supporting files like scripts, templates, and reference docs. Introduced by Anthropic in October 2025 and released as an open standard in December 2025, skills teach agents like Claude Code, Codex, Cursor, and Gemini CLI how to handle specific workflows. They load progressively — the agent sees only the name and description at startup (~100 tokens), and loads the full instructions only when the task matches. Skills with an argument-hint field can be invoked as slash commands; others activate contextually. They are not MCP servers or tools — MCP handles connections, tools handle actions, and skills define the workflow behavior.

Are Claude skills safe to install for DevOps work?

Not automatically — and this matters more for DevOps than most use cases because skills can include executable scripts and your agent often has access to infrastructure. Snyk's ToxicSkills research found prompt injection in 36% of skills tested and 1,467 malicious payloads across the ecosystem, and published research indicates roughly 26% of skills carry at least one vulnerability. Best practices: read the SKILL.md and any bundled scripts before installing, prefer vendor-published skills (HashiCorp, Microsoft, Trail of Bits, Snyk), and use a vetting layer like SkillzBench, which security-scans every skill, pins versions to commit SHAs, and publishes trust scores and benchmark results.

How much do these DevOps Claude skills cost?

All seven picks on this list are free. The community and vendor skills (Terraform Claude Skill, HashiCorp Agent Skills, Azure skills, terraform-plan-review, Trail of Bits Skills, Snyk Fix) are open source on GitHub. SkillzBench's entire platform — directory, MCP connector, benchmarks, and alerts — is free as well; it earns revenue from advertising around its blog content, and that revenue never influences scores or listings. Note that cloud consumption costs (Azure resources, AWS infrastructure) apply separately from any skill.

What makes SkillzBench different from just browsing GitHub for skills?

GitHub gives you no vetting: no security scan, no quality judgment, no way to know if a skill actually improves your agent's performance. SkillzBench continuously crawls and dedupes skills from GitHub, then verifies each one — pinning every version to a commit SHA, validating it, checking its license, security-scanning it, and quality-judging it. It then benchmarks every skill in a sandbox with the same model, with and without the skill, and publishes the Lift in percentage points so you can see real impact. Each skill gets a trust score from 0-100 based on security, quality, license, maintenance, and community signals, and the free MCP server lets you assign per-agent loadouts so each agent only sees the skills you chose. SkillzBench is pre-launch — join the waitlist at skillzbench.com for access as it ships.

Which skill should I install first for Terraform work?

If you're on AWS, the Terraform Claude Skill by Anton Babenko is the strongest starting point — it enforces an init/validate/plan loop, modular structure, encryption by default, and integrates tflint, tfsec, and infracost. If you want vendor-aligned guidance, HashiCorp's official agent-skills repo covers Terraform generation, testing, and modules. Regardless of which you pick, pair it with terraform-plan-review, which flags resource destruction and replacement of stateful resources before you apply — the single most valuable guardrail for any Terraform user, per OrangeBot.AI's 2026 analysis.

Do these skills work with tools other than Claude Code?

Yes, largely. The Agent Skills specification has been adopted as an open standard supported by Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI, Antigravity, and Windsurf. Because skills are just SKILL.md directories, the same skill packages generally work across these agents. SkillzBench is building its free MCP connector and per-agent loadouts to work with any agent, letting you toggle which skills and tools each individual agent sees.

How do I install a Claude skill?

Installation takes about 30 seconds. For project-level skills (shared with your team via version control), place the skill folder under your-project/.claude/skills/skill-name/ with the SKILL.md inside. For user-level skills (personal, available across all projects), use ~/.claude/skills/skill-name/. You can also install collections via plugins using /plugin marketplace add owner/repo. Some skills, like the Terraform Claude Skill, register as slash commands (e.g., /terraform) once installed — verify by typing the command in Claude Code. When names conflict, enterprise skills take precedence over personal skills, which take precedence over project skills.