Bazzite vs Nobara vs CachyOS: The Best Linux Gaming Distro in 2026

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2. IMMEDIATELY:

As an Amazon Associate we earn from qualifying purchases. Prices and availability are accurate as of the date/time indicated and are subject to change.

3. ≥1250 words.
4.

/

(include the distro names). Cover each distro: base (Fedora Atomic / Fedora / Arch), out-of-the-box gaming readiness (drivers, Steam, Proton), handheld/Steam Deck support, ease for beginners vs power users, update model (immutable vs traditional), performance tuning (CachyOS kernel), who each suits. Accurate as of 2026.
5. Exactly ONE comparison

, 5 rows (header + 3 distros + a verdict row) OR columns: Distro | Base | Best for | Ease | Rating — list Bazzite, Nobara, CachyOS with the #1 recommendation first/labeled.
6.

Frequently Asked Questions

with 4

Q

+

A

(which Linux distro is best for beginners; which is best for Steam Deck/handhelds; is Linux gaming as good as Windows in 2026; which has the best performance).
7. Exactly 4 anchor internal links.
8. NO Amazon links/shortcodes/img. Prose + one table.
Output the HTML body as final message.
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## Subagent: general-purpose
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– Plan: none
– Reports: /Users/PRINCESS/White/plans/reports
– Paths: /Users/PRINCESS/White/plans/ | /Users/PRINCESS/White/docs/

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– Reports → /Users/PRINCESS/White/plans/reports
– YAGNI / KISS / DRY
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– Never use global pip install

## Naming
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– agent-browser: AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
– ai-artist: Generate images via Nano Banana with 129 curated prompts. Mandatory validation interview refines style/mood/colors (use –skip to bypass). 3 modes: search, creative, wild. Styles: Ukiyo-e, Bento grid, cyberpunk, cinematic, vintage patent.
– ai-multimodal: Analyze images/audio/video with Gemini API (better vision than Claude). Generate images (Imagen 4, Nano Banana 2, MiniMax), videos (Veo 3, Hailuo), speech (MiniMax TTS), music (MiniMax). Use for vision analysis, transcription, OCR, design extraction, multimodal AI.
– ask: Answer technical and architectural questions with expert analysis. Use for design decisions, best practices evaluation, solution comparison.
– backend-development: Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
– better-auth: Add authentication with Better Auth (TypeScript). Use for email/password, OAuth providers (Google, GitHub), 2FA/MFA, passkeys/WebAuthn, sessions, RBAC, rate limiting.
– bootstrap: Bootstrap new projects with research, tech stack, design, planning, and implementation. Modes: full (interactive), auto (default), fast (skip research), parallel (multi-agent).
– brainstorm: Brainstorm solutions with trade-off analysis and brutal honesty. Use for ideation, architecture decisions, technical debates, feature exploration, feasibility assessment, design discussions.
– chrome-devtools: Automate browsers with Puppeteer CLI scripts and persistent sessions. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, JavaScript debugging.
– ck-autoresearch: Run autonomous optimization loops (deprecated alias for ck-loop). Use for metric-driven iteration, coverage improvement, performance tuning.
– ck-debug: Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, multi-layer validation, log analysis, CI/CD failures, database diagnostics, system investigation.
– ck-loop: Autonomous iterative optimization loop — run N iterations against a mechanical metric, learn from git history, auto-keep/discard changes. Use for improving measurable metrics (coverage, performance, bundle size, etc.) through repeated experimentation.
– ck-plan: Plan implementations, design architectures, create technical roadmaps with detailed phases. Use for feature planning, system design, solution architecture, implementation strategy, phase documentation.
– ck-predict: 5 expert personas debate proposed changes before implementation. Catches architectural, security, performance, and UX issues early. Use before major features or risky changes.
– ck-scenario: Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.
– ck-security: STRIDE + OWASP-based security audit with optional auto-fix. Scans code for vulnerabilities, categorizes by severity, and can iteratively fix findings using ck:autoresearch pattern.
– code-review: Review code quality with adversarial rigor. Supports input modes: pending changes, PR number, commit hash, codebase scan. Always-on red-team analysis finds security holes, false assumptions, and failure modes.
– coding-level: Set coding experience level for tailored output. Use for adjusting explanation depth, code complexity, and response format to user expertise.
– context-engineering: Check context usage limits, monitor time remaining, optimize token consumption, debug context failures. Use when asking about context percentage, rate limits, usage warnings, context optimization, agent architectures, memory systems.
– cook: Implement features, plans, and fixes with structured workflow. Use for feature development, plan execution, code implementation pipelines.
– copywriting: Conversion copywriting formulas, headline templates, email copy patterns, landing page structures, CTA optimization, and writing style extraction. Activate for writing high-converting copy, crafting headlines, email campaigns, landing pages, or applying custom writing styles from assets/writing-styles/ directory.
– databases: Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.
– deploy: Deploy projects to any platform with auto-detection. Use when user says “deploy”, “publish”, “ship”, “go live”, “push to production”, “host this app”, or mentions any hosting platform (Vercel, Netlify, Cloudflare, Railway, Fly.io, Render, Heroku, TOSE, Github Pages, AWS, GCP, Digital Ocean, Vultr, Coolify, Dokploy). Auto-detects deployment target from config files and docs/deployment.md.
– design: Design brand identity, logos, banners, and visual assets. Use for brand systems, design tokens, corporate identity programs. Not for UI code patterns.
– devops: Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
– docs: Analyze codebase and manage project documentation. Use for doc initialization, updates, summaries, codebase analysis.
– docs-seeker: Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
– excalidraw: Create Excalidraw diagrams — architecture, data flow, workflows, system design. Use when user wants to visualize, diagram, draw architecture, show data flow, create flowcharts, map components, or export .excalidraw files to PNG/SVG. Supports two modes: live MCP canvas (real-time) or file-based JSON + Playwright rendering. Also supports zero-config codebase auto-diagramming — just say “diagram this repo” or “visualize the architecture”.
– find-skills: Helps users discover and install agent skills when they ask questions like “how do I do X”, “find a skill for X”, “is there a skill that can…”, or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
– fix: Fix bugs, errors, test failures, and CI/CD issues with intelligent routing. Use for type errors, lint issues, log errors, UI bugs, code problems.
– frontend-design: Create polished frontend interfaces from designs/screenshots/videos. Use for web components, 3D experiences, replicating UI designs, quick prototypes, immersive interfaces, avoiding AI slop.
– frontend-development: Build React/TypeScript frontends with modern patterns. Use for components, Suspense, lazy loading, useSuspenseQuery, MUI v7 styling, TanStack Router, performance optimization.
– git: Git operations with conventional commits. Use for staging, committing, pushing, PRs, merges. Auto-splits commits by type/scope. Security scans for secrets.
– gkg: Semantic code analysis with GitLab Knowledge Graph. Use for go-to-definition, find-usages, impact analysis, architecture visualization. Supports Ruby, Java, Kotlin, Python, TypeScript/JavaScript.
– google-adk-python: Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.
– graphify: Build queryable knowledge graphs from code, docs, papers, and images. Use for codebase understanding, architecture analysis, cross-file relationship discovery, token-efficient navigation.
– journal: Write technical journal entries analyzing recent changes. Use for session reflections, change analysis, decision documentation.
– kanban: Orchestrate AI agent tasks on a visual board. Use for multi-agent coordination, task tracking, team workflows. Not for plan files (use plans-kanban).
– llms: Generate llms.txt files from docs or codebase scanning. Follows llmstxt.org spec. Use for LLM-friendly site indexes, documentation summaries, AI context optimization.
– markdown-novel-viewer: View markdown files with calm, book-like reading experience via HTTP server. Use for long-form content, documentation preview, novel reading, report viewing, distraction-free reading.
– mcp-builder: Build MCP servers for LLM-external service integration. Use for FastMCP (Python), MCP SDK (Node/TypeScript), tool design, API integration, resource providers.
– mcp-management: Manage MCP servers – discover, analyze, execute tools/prompts/resources. Use for MCP integrations, intelligent tool selection, multi-server management, context-efficient capability discovery.
– media-processing: Process media with FFmpeg (video/audio), ImageMagick (images), RMBG (AI background removal). Use for encoding, format conversion, filters, thumbnails, batch processing, HLS/DASH streaming.
– mermaidjs-v11: Create diagrams with Mermaid.js v11 syntax. Use for flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, state diagrams, architecture diagrams, timelines, user journeys.
– mintlify: Build and deploy documentation sites with Mintlify. Use when creating API docs, developer portals, or knowledge bases. Covers docs.json configuration, MDX components (Cards, Steps, Tabs, Accordions, CodeGroup, Callouts, Mermaid, View, Tiles, Tree, Badge, Banner, Color, Tooltips, Panel), page frontmatter, navigation structure (tabs, anchors, dropdowns, products, versions, languages), theming (7 themes), OpenAPI/AsyncAPI integration, AI features (llms.txt, MCP, skill.md), deployment (GitHub, GitLab, Vercel, Cloudflare, AWS), and CLI commands for local development and validation.
– mobile-development: Build mobile apps with React Native, Flutter, Swift/SwiftUI, Kotlin/Jetpack Compose. Use for iOS/Android, mobile UX, performance optimization, offline-first, app store deployment.
– payment-integration: Integrate payments with SePay (VietQR), Polar, Stripe, Paddle (MoR subscriptions), Creem.io (licensing). Checkout, webhooks, subscriptions, QR codes, multi-provider orders.
– plans-kanban: View plans dashboard with progress tracking and timeline visualization. Use for kanban boards, plan status overview, phase progress, milestone tracking, project visibility.
– preview: View files or generate visual explanations, slides, and diagrams. Use for code walkthroughs, architecture visualization, HTML/Markdown presentations.
– problem-solving: Apply systematic problem-solving techniques when stuck. Use for complexity spirals, innovation blocks, recurring patterns, assumption constraints, simplification cascades, scale uncertainty.
– project-management: Track progress, update plan statuses, manage Claude Tasks, generate reports, coordinate docs updates. Use for project oversight, status checks, plan completion, task hydration, cross-session continuity.
– project-organization: Organize files, directories, and content structure in any project. Use when creating files, determining output paths, organizing existing assets, or standardizing project layout.
– react-best-practices
– remotion
– repomix
– research
– retro
– scout
– security-scan: Scan codebase for security vulnerabilities, hardcoded secrets, dependency issues, and OWASP patterns. Use when asked to ‘security scan’, ‘check for secrets’, ‘audit security’, or before major releases.
– sequential-thinking
– shader
– ship
– shopify
– show-off
– skill-creator
– stitch
– tanstack
– team
– template-skill
– test
– threejs
– ui-styling
– ui-ux-pro-max: UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.
– use-mcp
– watzup
– web-design-guidelines: Review UI code for Web Interface Guidelines compliance. Use when asked to “review my UI”, “check accessibility”, “audit design”, “review UX”, or “check my site against best practices”.
– web-frameworks
– web-testing
– worktree
– xia
– deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. – When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., “what car to buy” without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.
– pdf-viewer:annotate
– pdf-viewer:fill-form
– pdf-viewer:open
– pdf-viewer:sign
– common-room:generate-account-plan
– common-room:weekly-brief
– brand-voice:discover-brand
– brand-voice:enforce-voice
– brand-voice:generate-guidelines
– product-management:brainstorm
– slack-by-salesforce:channel-digest
– slack-by-salesforce:draft-announcement
– slack-by-salesforce:find-discussions
– slack-by-salesforce:standup
– slack-by-salesforce:summarize-channel
– pdf-viewer:view-pdf
– legal:brief
– legal:compliance-check
– legal:legal-response
– legal:legal-risk-assessment
– legal:meeting-briefing
– legal:review-contract
– legal:signature-request
– legal:triage-nda
– legal:vendor-check
– productivity:memory-management
– productivity:start
– productivity:task-management
– productivity:update
– customer-support:customer-escalation
– customer-support:customer-research
– customer-support:draft-response
– customer-support:kb-article
– customer-support:ticket-triage
– twilio-developer-kit:twilio-account-setup
– twilio-developer-kit:twilio-agent-augmentation-architect
– twilio-developer-kit:twilio-agent-connect
– twilio-developer-kit:twilio-ai-agent-architect
– twilio-developer-kit:twilio-call-recordings
– twilio-developer-kit:twilio-cli-reference
– twilio-developer-kit:twilio-compliance-onboarding
– twilio-developer-kit:twilio-compliance-traffic
– twilio-developer-kit:twilio-conference-calls
– twilio-developer-kit:twilio-content-template-builder
– twilio-developer-kit:twilio-conversation-intelligence
– twilio-developer-kit:twilio-conversation-memory
– twilio-developer-kit:twilio-conversation-orchestrator
– twilio-developer-kit:twilio-conversations-classic-api
– twilio-developer-kit:twilio-customer-support-architect
– twilio-developer-kit:twilio-debugging-observability
– twilio-developer-kit:twilio-email-deliverability-advisor
– twilio-developer-kit:twilio-email-send
– twilio-developer-kit:twilio-enterprise-knowledge
– twilio-developer-kit:twilio-iam-auth-setup
– twilio-developer-kit:twilio-identity-verification-advisor
– twilio-developer-kit:twilio-lookup-phone-intelligence
– twilio-developer-kit:twilio-marketing-promotions-advisor
– twilio-developer-kit:twilio-messaging-channel-advisor
– twilio-developer-kit:twilio-messaging-overview
– twilio-developer-kit:twilio-messaging-services
– twilio-developer-kit:twilio-messaging-webhooks
– twilio-developer-kit:twilio-notifications-alerts-advisor
– twilio-developer-kit:twilio-numbers-senders
– twilio-developer-kit:twilio-organizations-setup
– twilio-developer-kit:twilio-rcs-messaging
– twilio-developer-kit:twilio-regulatory-compliance-bundles
– twilio-developer-kit:twilio-reliability-patterns
– twilio-developer-kit:twilio-security-api-auth
– twilio-developer-kit:twilio-security-compliance-hipaa
– twilio-developer-kit:twilio-security-hardening
– twilio-developer-kit:twilio-send-message
– twilio-developer-kit:twilio-sms-isv-setup
– twilio-developer-kit:twilio-sms-send-message
– twilio-developer-kit:twilio-studio-flows
– twilio-developer-kit:twilio-taskrouter-routing
– twilio-developer-kit:twilio-verify-send-otp
– twilio-developer-kit:twilio-voice-conversation-relay
– twilio-developer-kit:twilio-voice-outbound-calls
– twilio-developer-kit:twilio-voice-twiml
– twilio-developer-kit:twilio-webhook-architecture
– twilio-developer-kit:twilio-whatsapp-manage-senders
– twilio-developer-kit:twilio-whatsapp-send-message
– twilio-developer-kit:twilio-sendgrid-account-setup
– twilio-developer-kit:twilio-sendgrid-deliverability-advisor
– twilio-developer-kit:twilio-sendgrid-email-send
– twilio-developer-kit:twilio-sendgrid-email-settings
– twilio-developer-kit:twilio-sendgrid-engagement-quality
– twilio-developer-kit:twilio-sendgrid-inbound-parse
– twilio-developer-kit:twilio-sendgrid-suppressions
– twilio-developer-kit:twilio-sendgrid-webhooks
– common-room:account-research
– common-room:call-prep
– common-room:compose-outreach
– common-room:contact-research
– common-room:prospect
– common-room:weekly-prep-brief
– brand-voice:brand-voice-enforcement
– brand-voice:discover-brand
– brand-voice:guideline-generation
– operations:capacity-plan
– operations:change-request
– operations:compliance-tracking
– operations:process-doc
– operations:process-optimization
– operations:risk-assessment
– operations:runbook
– operations:status-report
– operations:vendor-review
– product-management:competitive-brief
– product-management:metrics-review
– product-management:product-brainstorming
– product-management:roadmap-update
– product-management:sprint-planning
– product-management:stakeholder-update
– product-management:synthesize-research
– product-management:write-spec
– human-resources:comp-analysis
– human-resources:draft-offer
– human-resources:interview-prep
– human-resources:onboarding
– human-resources:org-planning
– human-resources:people-report
– human-resources:performance-review
– human-resources:policy-lookup
– human-resources:recruiting-pipeline
– slack-by-salesforce:slack-messaging
– slack-by-salesforce:slack-search
– bio-research:instrument-data-to-allotrope
– bio-research:nextflow-development
– bio-research:scientific-problem-selection
– bio-research:scvi-tools
– bio-research:single-cell-rna-qc
– bio-research:start
– marketing:brand-review
– marketing:campaign-plan
– marketing:competitive-brief
– marketing:content-creation
– marketing:draft-content
– marketing:email-sequence
– marketing:performance-report
– marketing:seo-audit
– engineering:architecture
– engineering:code-review
– engineering:debug
– engineering:deploy-checklist
– engineering:documentation
– engineering:incident-response
– engineering:standup
– engineering:system-design
– engineering:tech-debt
– engineering:testing-strategy
– cockroachdb:benchmarking-transaction-patterns
– cockroachdb:designing-application-transactions
– cockroachdb:designing-multi-region-applications
– cockroachdb:analyzing-range-distribution
– cockroachdb:analyzing-schema-change-storage-risk
– cockroachdb:auditing-table-statistics
– cockroachdb:monitoring-background-jobs
– cockroachdb:profiling-statement-fingerprints
– cockroachdb:profiling-transaction-fingerprints
– cockroachdb:triaging-live-sql-activity
– cockroachdb:molt-fetch
– cockroachdb:molt-replicator
– cockroachdb:molt-verify
– cockroachdb:setting-up-local-cluster
– cockroachdb:managing-certificates-and-encryption
– cockroachdb:managing-cluster-capacity
– cockroachdb:managing-cluster-settings
– cockroachdb:performing-cluster-maintenance
– cockroachdb:provisioning-cluster-for-production
– cockroachdb:reviewing-cluster-health
– cockroachdb:upgrading-cluster-version
– cockroachdb:cockroachdb-sql
– cockroachdb:auditing-cloud-cluster-security
– cockroachdb:configuring-audit-logging
– cockroachdb:configuring-ip-allowlists
– cockroachdb:configuring-log-export
– cockroachdb:configuring-private-connectivity
– cockroachdb:configuring-sso-and-scim
– cockroachdb:enabling-cmek-encryption
– cockroachdb:enforcing-password-policies
– cockroachdb:hardening-user-privileges
– cockroachdb:managing-tls-certificates
– cockroachdb:preparing-compliance-documentation
– finance:audit-support
– finance:close-management
– finance:financial-statements
– finance:journal-entry
– finance:journal-entry-prep
– finance:reconciliation
– finance:sox-testing
– finance:variance-analysis
– apollo:enrich-lead
– apollo:prospect
– apollo:sequence-load
– zoom-plugin:build-zoom-bot
– zoom-plugin:build-zoom-meeting-app
– zoom-plugin:choose-zoom-approach
– zoom-plugin:cobrowse-sdk
– zoom-plugin:contact-center
– zoom-plugin:debug-zoom
– zoom-plugin:debug-zoom-integration
– zoom-plugin:design-mcp-workflow
– zoom-plugin:general
– zoom-plugin:meeting-sdk
– zoom-plugin:oauth
– zoom-plugin:phone
– zoom-plugin:plan-zoom-integration
– zoom-plugin:plan-zoom-product
– zoom-plugin:probe-sdk
– zoom-plugin:rest-api
– zoom-plugin:rivet-sdk
– zoom-plugin:rtms
– zoom-plugin:scribe
– zoom-plugin:setup-zoom-mcp
– zoom-plugin:setup-zoom-oauth
– zoom-plugin:start
– zoom-plugin:team-chat
– zoom-plugin:ui-toolkit
– zoom-plugin:video-sdk
– zoom-plugin:virtual-agent
– zoom-plugin:webhooks
– zoom-plugin:websockets
– zoom-plugin:zoom-apps-sdk
– zoom-plugin:zoom-mcp
– sales:account-research
– sales:call-prep
– sales:call-summary
– sales:competitive-intelligence
– sales:create-an-asset
– sales:daily-briefing
– sales:draft-outreach
– sales:forecast
– sales:pipeline-review
– data:analyze
– data:build-dashboard
– data:create-viz
– data:data-context-extractor
– data:data-visualization
– data:explore-data
– data:sql-queries
– data:statistical-analysis
– data:validate-data
– data:write-query
– enterprise-search:digest
– enterprise-search:knowledge-synthesis
– enterprise-search:search
– enterprise-search:search-strategy
– enterprise-search:source-management
– design:accessibility-review
– design:design-critique
– design:design-handoff
– design:design-system
– design:research-synthesis
– design:user-research
– design:ux-copy
– anthropic-skills:consolidate-memory
– anthropic-skills:docx: Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of ‘Word doc’, ‘word document’, ‘.docx’, ‘.dotx’, or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a ‘report’, ‘memo’, ‘letter’, ‘template’, or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
– anthropic-skills:pdf: Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
– anthropic-skills:pptx
– anthropic-skills:schedule
– anthropic-skills:setup-cowork
– anthropic-skills:skill-creator
– anthropic-skills:xlsx: Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like “the xlsx in my downloads”) — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
– dataviz: Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file’s values for your brand’s. Triggers on: “chart”, “graph”, “plot”, “data viz”, “visualization”, “dashboard”, “analytics”, “visualize data”, “categorical colors”, “sequential / diverging palette”, “stat tile”, “sparkline”, “heatmap”, “legend”, “axis”, “tooltip”, “chart colors”, “color by series”.
– artifact-design: Design guidance and fundamentals for Artifacts.
– update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (“from now on when X”, “each time X”, “whenever X”, “before/after X”) require hooks configured in settings.json – the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (“allow X”, “add permission”, “move permission to”), env vars (“set X=Y”), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: “allow npm commands”, “add bq permission to global settings”, “move permission to user settings”, “set DEBUG=true”, “when claude stops show X”. For simple settings like theme/model, suggest the /config command.
– keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: “rebind ctrl+s”, “add a chord shortcut”, “change the submit key”, “customize keybindings”.
– verify: Verify that a code change actually does what it’s supposed to by exercising it end-to-end and observing behavior — drive the affected flow, not just tests or typecheck. Run before committing nontrivial changes; bootstraps this repo’s project verify skill if none exists yet. Don’t invoke it on a diff that only touches tests, docs, or other code with no runtime surface to drive (a change to product source always has one) — there’s nothing to observe.
– simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.
– fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.
– loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. – When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. “check the deploy every 5 minutes”, “keep running /babysit-prs”). Do NOT invoke for one-off tasks.
– schedule: Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. – When the user wants to schedule a recurring cloud agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (“run this once at 3pm”, “remind me to check X tomorrow”).
– claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
TRIGGER — read BEFORE opening the target file; don’t skip because it “looks like a one-liner” — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).
SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE ‘openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama’` over the project hits (run this grep FIRST if no provider named — don’t Read the file).
– run: Launch and drive this project’s app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).
– init
– review
– security-review
agent-browser
ai-artist
ai-multimodal
ask
backend-development
better-auth
bootstrap
brainstorm
chrome-devtools
ck-autoresearch
ck-debug
ck-loop
ck-plan
ck-predict
ck-scenario
ck-security
code-review
coding-level
context-engineering
cook
copywriting
databases
deploy
design
devops
docs
docs-seeker
excalidraw
find-skills
fix
frontend-design
frontend-development
git
gkg
google-adk-python
graphify
journal
kanban
llms
markdown-novel-viewer
mcp-builder
mcp-management
media-processing
mermaidjs-v11
mintlify
mobile-development
payment-integration
plans-kanban
preview
problem-solving
project-management
project-organization
react-best-practices
remotion
repomix
research
retro
scout
security-scan
sequential-thinking
shader
ship
shopify
show-off
skill-creator
stitch
tanstack
team
template-skill
test
threejs
ui-styling
ui-ux-pro-max
use-mcp
watzup
web-design-guidelines
web-frameworks
web-testing
worktree
xia
deep-research
pdf-viewer:annotate
pdf-viewer:fill-form
pdf-viewer:open
pdf-viewer:sign
common-room:generate-account-plan
common-room:weekly-brief
brand-voice:discover-brand
brand-voice:enforce-voice
brand-voice:generate-guidelines
product-management:brainstorm
slack-by-salesforce:channel-digest
slack-by-salesforce:draft-announcement
slack-by-salesforce:find-discussions
slack-by-salesforce:standup
slack-by-salesforce:summarize-channel
pdf-viewer:view-pdf
legal:brief
legal:compliance-check
legal:legal-response
legal:legal-risk-assessment
legal:meeting-briefing
legal:review-contract
legal:signature-request
legal:triage-nda
legal:vendor-check
productivity:memory-management
productivity:start
productivity:task-management
productivity:update
customer-support:customer-escalation
customer-support:customer-research
customer-support:draft-response
customer-support:kb-article
customer-support:ticket-triage
twilio-developer-kit:twilio-account-setup
twilio-developer-kit:twilio-agent-augmentation-architect
twilio-developer-kit:twilio-agent-connect
twilio-developer-kit:twilio-ai-agent-architect
twilio-developer-kit:twilio-call-recordings
twilio-developer-kit:twilio-cli-reference
twilio-developer-kit:twilio-compliance-onboarding
twilio-developer-kit:twilio-compliance-traffic
twilio-developer-kit:twilio-conference-calls
twilio-developer-kit:twilio-content-template-builder
twilio-developer-kit:twilio-conversation-intelligence
twilio-developer-kit:twilio-conversation-memory
twilio-developer-kit:twilio-conversation-orchestrator
twilio-developer-kit:twilio-conversations-classic-api
twilio-developer-kit:twilio-customer-support-architect
twilio-developer-kit:twilio-debugging-observability
twilio-developer-kit:twilio-email-deliverability-advisor
twilio-developer-kit:twilio-email-send
twilio-developer-kit:twilio-enterprise-knowledge
twilio-developer-kit:twilio-iam-auth-setup
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If you have been building a Linux gaming rig in 2026, you already know the desktop-Linux landscape has never looked healthier. Proton has matured to the point where the vast majority of your Steam library “just works,” anti-cheat coverage keeps expanding, and a new generation of gaming-focused distributions has removed almost all of the old friction around drivers and configuration. Three names dominate every conversation right now: Bazzite, Nobara, and CachyOS. Each takes a distinctly different philosophy toward the same goal—getting you into a game as fast as possible with the best frame rates your hardware can deliver. This guide breaks down how they differ in base architecture, out-of-the-box readiness, handheld support, update model, and raw performance, so you can pick the one that fits how you actually use your machine.

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Why These Three Distros Own Linux Gaming in 2026

General-purpose distributions like Ubuntu and vanilla Fedora can absolutely game, but they leave a lot of manual work on your plate: adding graphics driver repositories, installing codecs, tuning kernel parameters, and configuring controllers. Bazzite, Nobara, and CachyOS each ship with that work already done. Where they diverge is in the trade-offs they make around stability, bleeding-edge performance, and how much they expect you to tinker. Understanding the base each one is built on is the fastest way to predict how it will behave on your desktop or handheld. If you are still deciding whether to leave Windows at all, our guide to dual-booting Linux and Windows for gaming is a good companion read before you commit a full drive.

Bazzite: Fedora Atomic Made for Couch and Handheld Gaming

Bazzite is built on Fedora Atomic (the immutable “Silverblue/Kinoite” family) and is arguably the most polished console-like experience you can get on Linux today. Because the core operating system is immutable, the system files are read-only and updates are applied as complete, atomic images rather than piecemeal package upgrades. If an update ever misbehaves, you simply reboot into the previous image—there is effectively no way to leave your system in a broken half-updated state.

Out-of-the-Box Gaming Readiness

Bazzite ships with the correct GPU drivers pre-installed for AMD, Intel, and NVIDIA (you download a dedicated NVIDIA image), Steam and Proton ready to go, plus Lutris, Heroic, and a stack of tools like MangoHud, Gamescope, and vkBasalt baked in. There is essentially nothing to configure before your first game. Codecs, controller support, and Flatpak are all wired up on first boot.

Handheld and Steam Deck Support

This is where Bazzite genuinely shines. It offers dedicated images for the Steam Deck, ROG Ally, Legion Go, and other x86 handhelds, complete with a SteamOS-style “Game Mode” that boots straight into the Steam Big Picture interface. For many owners of these devices, Bazzite is a straight upgrade over the stock OS because it adds features and hardware fixes the manufacturers are slow to ship. If you game primarily on a couch or a handheld, this is the distro to beat. Pair it with a solid controller—see our best controllers for PC and handheld gaming roundup for current picks.

Who Bazzite Suits

Bazzite is ideal for beginners, for anyone who wants a set-it-and-forget-it system, and for handheld owners. The immutable model means you trade some deep customizability for rock-solid reliability. Power users who love to hand-edit system files may find the atomic approach restrictive, though “layering” packages via rpm-ostree and using Distrobox containers covers most needs.

Nobara: Fedora, Tuned and Unlocked for Tinkerers

Nobara is a modified version of standard (traditional, non-immutable) Fedora, maintained by Thomas Crider, better known in the community as GloriousEggroll—the same developer behind the popular GE-Proton builds. Nobara keeps the familiar, fully mutable Fedora experience but strips out the friction: it pre-installs media codecs, patches the kernel and drivers for gaming, bundles NVIDIA drivers, and includes its own package-updater GUI so newcomers do not have to touch the terminal.

Out-of-the-Box Gaming Readiness

Like Bazzite, Nobara arrives ready to play, with Steam, Lutris, Heroic, OBS, and gaming tweaks all preconfigured. The key difference is philosophy: Nobara gives you a normal, writable filesystem. You can install anything from any repository, edit configuration files directly, and tinker to your heart’s content. It bundles GE-Proton and gamescope out of the box, and its custom Nobara Package Manager smooths over the parts of Fedora that historically tripped up new users.

Handheld Support and Desktop Focus

Nobara has a Steam Deck edition and works on handhelds, but its handheld/console-mode polish is a step behind Bazzite. Nobara’s heart is the desktop: it targets people who sit at a keyboard and mouse, want a traditional desktop workflow (GNOME or KDE), and appreciate having every gaming optimization done for them while retaining full control. If your rig lives on a desk and you like the option to get under the hood, browse our recommended gaming PC builds for every budget to match hardware to this kind of setup.

Who Nobara Suits

Nobara is the sweet spot for intermediate users and desktop gamers who want a traditional, mutable system without doing the driver-and-codec legwork themselves. It is also a natural fit for anyone who already knows and likes Fedora but wants it pre-optimized for play. Absolute beginners will be fine too, though the mutable model means it is technically easier to break than an immutable system.

CachyOS: Arch-Based Performance for Power Users

CachyOS is built on Arch Linux and is engineered around one obsession: performance. Its headline feature is a custom, heavily optimized kernel that uses the BORE (Burst-Oriented Response Enhancer) scheduler and is compiled with advanced optimizations, including x86-64 architecture-level tuning (v3/v4) that squeezes extra efficiency out of modern CPUs. The distro also ships optimized system packages and a friendly graphical installer that makes Arch far more approachable than it has ever been.

Performance Tuning and the CachyOS Kernel

The CachyOS kernel is the reason enthusiasts flock here. In many CPU-bound titles it delivers measurably better frame times and lower latency than stock kernels, thanks to the scheduler tuning and compile-time optimizations. Combined with Arch’s rolling-release model, you get the newest Mesa graphics drivers, the latest kernel, and the freshest Proton almost as soon as they land upstream. For competitive players chasing every last frame, this bleeding-edge stack is the appeal.

Gaming Readiness and Handheld Support

CachyOS provides a gaming meta-package that installs Steam, Lutris, Heroic, Wine dependencies, and the usual tools in one shot, and its installer lets you select GPU drivers up front. It also offers a handheld edition with a Steam Deck-style game mode, so it is a viable handheld option—but, like Nobara, its console-mode maturity trails Bazzite’s. The rolling model means you should update regularly and be comfortable occasionally reading release notes.

Who CachyOS Suits

CachyOS is aimed at power users, enthusiasts, and anyone who wants maximum performance and the latest software the moment it ships. Arch’s rolling nature demands slightly more attention than a point-release distro, but CachyOS’s tooling removes almost all of the traditional Arch pain. If you love tinkering and chasing benchmarks, this is your distro.

Immutable vs Traditional vs Rolling: The Update Model Explained

The single biggest practical difference between these three comes down to how they update. Bazzite is immutable and atomic—updates are all-or-nothing images you can roll back with a reboot, which is the safest model for people who never want to think about maintenance. Nobara is a traditional point-release built on Fedora’s cadence, giving you a stable, writable system with predictable major upgrades. CachyOS is rolling-release, meaning a continuous stream of the newest packages with no big version jumps, at the cost of needing more regular, attentive updating. Your comfort with maintenance should weigh heavily in your choice.

Bazzite vs Nobara vs CachyOS: Comparison Table

Distro	Base	Best For	Ease	Rating
Bazzite (#1 Pick)	Fedora Atomic (immutable)	Beginners, Steam Deck & handhelds, set-and-forget	Easiest	4.8 / 5
Nobara	Fedora (traditional, mutable)	Desktop gamers & tinkerers who want control	Moderate	4.6 / 5
CachyOS	Arch (rolling)	Power users chasing maximum performance	Advanced	4.5 / 5
Verdict: Bazzite wins for most people in 2026 thanks to its bulletproof immutable design and unmatched handheld support. Choose Nobara if you want a flexible desktop system you can fully control, and CachyOS if squeezing out every frame with the latest kernel is your priority.

Frequently Asked Questions

Which Linux distro is best for beginners?

Bazzite is the friendliest choice for newcomers. Its immutable, atomic design means the core system cannot easily be broken, updates roll back with a single reboot, and everything needed to game—drivers, Steam, Proton, codecs, and controller support—is preconfigured on first boot. You can be playing within minutes of installation without ever opening a terminal.

Which is best for the Steam Deck and handhelds?

Bazzite is the clear leader for handhelds. It ships dedicated images for the Steam Deck, ROG Ally, Legion Go, and similar devices, complete with a SteamOS-style Game Mode that boots straight into Steam’s Big Picture interface. It frequently adds hardware fixes and features faster than the stock manufacturer OS, making it a genuine upgrade for many handheld owners.

Is Linux gaming as good as Windows in 2026?

For most single-player and many multiplayer titles, yes. Proton compatibility has matured to the point where the large majority of Steam games run well, and in CPU-bound scenarios an optimized distro like CachyOS can even match or beat Windows frame rates. The main remaining gap is a handful of competitive multiplayer games whose anti-cheat vendors have not enabled Linux support—always check ProtonDB and anti-cheat status for the specific titles you play.

Which distro has the best performance?

CachyOS generally takes the performance crown thanks to its custom BORE-scheduler kernel and architecture-optimized packages, which can deliver lower latency and better frame times in CPU-bound games. That said, the real-world difference over Bazzite or Nobara is often modest, so most players are better served by the reliability and handheld polish of Bazzite unless they are specifically chasing benchmark numbers.