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RTX 5070 vs RTX 5070 Ti in 2026: Which Should You Buy?
Affiliate Disclosure: As an Amazon Associate, we earn from qualifying purchases. Links marked "Check on Amazon" are affiliate links — learn more.
🔥Amazon Prime Day 2026 is coming — don’t miss the best deals.See Top Deals →
.
2. IMMEDIATELY this EXACT line:
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. ≥1200 words real English.
4.
Quick answer: Our top pick in 2026 is the Overall Verdict — our #1 rated choice. See the full ranked comparison, alternatives and buying advice below.
/
headings (include “RTX 5070” / “5070 Ti”). Cover: specs side-by-side (CUDA cores, VRAM, bandwidth, TGP), real-world 1440p & 4K FPS differences, ray tracing/DLSS, price-to-performance, power/thermals, who each is for.
5. Exactly ONE comparison
, 5 rows, columns: Spec / Feature | RTX 5070 | RTX 5070 Ti | Winner. First row a headline verdict row. Realistic 2026 numbers.
6.
(is the 5070 Ti worth the extra money; can the 5070 do 4K; how much VRAM do you need in 2026; which is better for 1440p high-refresh).
7. Exactly 4 descriptive anchor internal links.
8. NO Amazon links, NO shortcodes, no . Prose + one table.
Output the HTML body as your final message.
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– YAGNI / KISS / DRY
– Concise, list unresolved Qs at end
– Python scripts in $HOME/.claude/skills/: Use `~/.claude/skills/.venv/bin/python3`
– Never use global pip install
## Naming
– Report: /Users/PRINCESS/White/plans/reports/general-purpose-260712-1757-{slug}.md
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skill_listing
– 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
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
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Nvidia’s RTX 5070 and RTX 5070 Ti have become the two most talked-about GPUs for mainstream gamers building or upgrading a rig in 2026. Both belong to the Blackwell generation, both promise buttery-smooth 1440p gaming with DLSS 4, and both sit in that sweet spot where price and performance finally start to make sense for enthusiasts who don’t want to spend flagship money. But the gap between them is wider than the “Ti” badge suggests, and picking the wrong one can mean either overpaying for headroom you’ll never touch or leaving frames on the table you’ll wish you had. This guide breaks down exactly how the RTX 5070 and RTX 5070 Ti compare on paper and in real games, so you can buy once and buy right.
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RTX 5070 vs RTX 5070 Ti: The Quick Verdict
If you only remember one thing, remember this: the RTX 5070 is the value pick for 1440p high-refresh gaming, while the RTX 5070 Ti is the smarter long-term buy if you care about 4K, ray tracing, or keeping the card for four-plus years. The Ti costs roughly 30 to 35 percent more but delivers a meaningful jump in raw horsepower and, crucially, an extra 4GB of VRAM that changes what the card can comfortably do at higher resolutions. Neither is a bad choice. The question is which trade-off fits your monitor, your wallet, and your patience for turning down settings a couple of years from now.
Specs Side-by-Side: CUDA Cores, VRAM, Bandwidth, and TGP
On paper the two cards share a family resemblance but diverge in every metric that matters for sustained performance. The RTX 5070 ships with 6,144 CUDA cores, 12GB of GDDR7 memory on a 192-bit bus, and a total graphics power (TGP) of around 250W. The RTX 5070 Ti steps up to 8,960 CUDA cores, 16GB of GDDR7 on a wider 256-bit bus, and a 300W TGP. That’s not a rounding error. The Ti has roughly 46 percent more CUDA cores and one-third more memory bandwidth, which is why the performance delta in demanding titles is larger than the price gap might imply.
Why the Memory Bus Matters
The 192-bit bus on the RTX 5070 pairs with fast GDDR7 to deliver around 672 GB/s of bandwidth, which is plenty for 1440p. The RTX 5070 Ti’s 256-bit bus pushes closer to 896 GB/s, and that headroom is exactly what keeps frame times stable at 4K and in texture-heavy games. Bandwidth is the quiet hero of GPU performance: two cards with identical core counts but different bus widths can post very different minimum framerates, and the Ti’s wider pipe is a big part of why it ages more gracefully.
The 12GB vs 16GB VRAM Question
VRAM is the single most divisive spec on the RTX 5070. Twelve gigabytes is comfortable for 1440p today, but a growing list of 2026 AAA titles with high-resolution texture packs, ray tracing, and frame generation can nudge past that ceiling, especially at 4K. The RTX 5070 Ti’s 16GB buffer gives you a real cushion. If you plan to keep your GPU for several years or you run a mix of gaming, streaming, and light creative work, that extra memory is worth serious consideration. For a deeper look at how memory affects longevity, see our guide on how much VRAM you actually need for modern gaming.
The Comparison Table
Spec / Feature
RTX 5070
RTX 5070 Ti
Winner
Overall Verdict
Best value for 1440p high-refresh
Best all-rounder for 4K & longevity
Depends on your monitor
CUDA Cores
6,144
8,960
RTX 5070 Ti
VRAM / Bandwidth
12GB GDDR7 / ~672 GB/s
16GB GDDR7 / ~896 GB/s
RTX 5070 Ti
TGP / Efficiency
250W
300W
RTX 5070
MSRP (2026)
~$549
~$749
RTX 5070
Real-World Gaming: 1440p Performance
At 1440p, which remains the resolution most enthusiasts actually game at, both cards are genuinely excellent, and this is where the RTX 5070 shines brightest as a value proposition. In rasterized esports titles like Counter-Strike 2, Valorant, and Apex Legends, the RTX 5070 comfortably pushes well beyond 200 FPS, saturating high-refresh 240Hz and 360Hz panels without breaking a sweat. In demanding AAA games at high or ultra settings, expect the RTX 5070 to land in the 90 to 130 FPS range, while the RTX 5070 Ti typically sits 20 to 30 percent higher, often clearing 120 to 160 FPS in the same scenes.
The practical takeaway is that for pure 1440p gaming, the RTX 5070 already delivers the experience most people are chasing. The Ti’s extra frames are welcome but represent diminishing returns unless you own a very high-refresh display and play competitively. If you’re building around a 1440p setup, our best 1440p gaming PC build guide pairs either card with the right CPU and RAM to avoid bottlenecks.
Real-World Gaming: 4K Performance
Step up to 4K and the picture changes. The RTX 5070 is capable at 4K but it’s no longer effortless. In modern AAA titles at high settings you’re often looking at 50 to 70 FPS natively, which means leaning on DLSS upscaling and frame generation to hit a smooth 60-plus. That’s fine, and DLSS 4 makes it look great, but the card is working hard and the 12GB VRAM buffer can become a limiting factor with maxed textures.
The RTX 5070 Ti is the more natural 4K card. With more cores, more bandwidth, and 16GB of memory, it frequently posts 70 to 95 FPS natively in the same titles and cruises past 120 FPS with DLSS enabled. If 4K gaming is your goal, the Ti isn’t just faster, it’s the card that lets you turn settings up rather than down. Gamers eyeing a high-resolution display should read our breakdown of what it really takes to game at 4K before committing.
Ray Tracing and DLSS 4
Both GPUs feature Blackwell’s improved RT cores and full support for DLSS 4 with Multi Frame Generation, Nvidia’s headline feature for this generation. Ray tracing is where the RTX 5070 Ti’s extra horsepower earns its keep. Path-traced games like Cyberpunk 2077 and Alan Wake 2 are punishing, and at 1440p with full RT the RTX 5070 leans heavily on upscaling to stay playable, landing around 60 to 80 FPS with DLSS Quality. The Ti, with its larger core count and VRAM headroom, handles the same workload with more comfort and higher base framerates.
DLSS 4 is the great equalizer here. Multi Frame Generation can multiply framerates dramatically, and both cards benefit enormously. That said, frame generation is most convincing when your base framerate is already respectable, which is another quiet argument for the Ti in heavy ray-traced scenarios. If you want the fullest ray tracing experience without babysitting settings, the RTX 5070 Ti is the safer bet.
Price-to-Performance
This is where the RTX 5070 fights back hard. At roughly $549 versus $749, the RTX 5070 delivers something like 80 to 85 percent of the Ti’s gaming performance for around 73 percent of the price. In pure dollars-per-frame terms, the RTX 5070 is the more efficient purchase, and for anyone on a strict budget it’s the obvious pick. The extra $200 for the Ti buys you not just more frames but more future headroom, better ray tracing, and that critical VRAM cushion, which is a different kind of value that’s harder to measure in a benchmark chart.
Think of it this way: if you upgrade GPUs every two to three years, the RTX 5070’s superior price-to-performance makes it the rational choice. If you buy and hold for four or five years, the RTX 5070 Ti’s longevity likely makes the higher upfront cost pay off. For help balancing component spend across a full system, our PC build budget planning guide is a useful companion.
Power and Thermals
The RTX 5070’s 250W TGP makes it the friendlier card for smaller cases and modest power supplies. A quality 650W unit is enough for most RTX 5070 builds, and the lower heat output means quieter cooling and easier airflow. The RTX 5070 Ti’s 300W draw calls for a 750W supply and better case ventilation, and while partner cards run cool and quiet under load, they run a bit hotter and pull more from the wall. Neither card is a furnace by modern standards, but if you’re building in a compact chassis or want the quietest possible system, the RTX 5070’s efficiency edge is a genuine advantage.
Who Should Buy the RTX 5070?
The RTX 5070 is the right call if you game primarily at 1440p, want maximum value per dollar, run a smaller case or lower-wattage PSU, and typically upgrade every couple of generations. It’s a fantastic high-refresh 1440p card and a strong entry point into DLSS 4 without overspending. For most mainstream gamers, it’s more than enough.
Who Should Buy the RTX 5070 Ti?
The RTX 5070 Ti is the right call if you game at 4K or plan to, care deeply about ray tracing, want the security of 16GB of VRAM, or intend to keep the card for four or more years. It’s also the better choice if you do creative work alongside gaming, where the extra memory and cores translate directly into faster renders and exports. You’ll pay more, but you’re buying peace of mind and longevity.
Frequently Asked Questions
Is the RTX 5070 Ti worth the extra money over the RTX 5070?
It depends on how you game. If you play at 1440p and upgrade every couple of years, the RTX 5070 offers better value and the extra spend on the Ti is hard to justify. But if you game at 4K, prioritize ray tracing, or plan to keep the card for four-plus years, the RTX 5070 Ti’s additional cores, bandwidth, and 16GB of VRAM make the roughly $200 premium a worthwhile long-term investment.
Can the RTX 5070 handle 4K gaming?
Yes, but with caveats. The RTX 5070 can play modern games at 4K, typically landing around 50 to 70 FPS at high settings natively and comfortably clearing 60-plus with DLSS 4 upscaling and frame generation enabled. It’s a capable 4K card for the money, but its 12GB VRAM buffer can be a limiting factor with maxed textures. For a smoother, higher-headroom 4K experience, the RTX 5070 Ti is the better fit.
How much VRAM do you need for gaming in 2026?
For 1440p gaming in 2026, 12GB is the practical comfortable minimum, which is exactly what the RTX 5070 offers. For 4K gaming, or if you want future-proofing and run high-resolution texture packs with ray tracing, 16GB like the RTX 5070 Ti provides is the safer target. VRAM demands have crept upward as games adopt heavier textures and frame generation, so buying with a cushion protects you from having to lower settings sooner than you’d like.
Which is better for 1440p high-refresh gaming?
Both are excellent, but the RTX 5070 is the value champion for 1440p high-refresh. It easily pushes 200-plus FPS in esports titles and 90 to 130 FPS in demanding AAA games, saturating most 240Hz and even 360Hz panels. The RTX 5070 Ti is faster still and gives extra headroom for the most demanding competitive players chasing maximum framerates, but for the vast majority of 1440p gamers the RTX 5070 delivers the high-refresh experience at a noticeably better price.
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