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Open Source
Skills for self-hosted AI using Ollama, LM Studio, and open-source models like DeepSeek, Qwen, and Llama. Full privacy, zero API costs, unlimited usage.
1165 skills available
Run powerful AI models locally with complete control over your data. Open-source tools like Ollama and LM Studio make it easy to deploy models rivaling proprietary services — no cloud dependency, no API costs, no data leaving your machine. The open-source ecosystem in 2026 has reached parity with commercial offerings for many tasks.
Popular Models to Run Locally:
- DeepSeek V3.2 — 671B total / 37B active parameters, comparable to GPT-5, MIT license
- Qwen3 — 700M+ downloads, models from 0.6B to 235B, Apache 2.0 license
- Llama 4 Scout/Maverick — Multimodal, up to 10M token context
- Mistral / Codestral — Strong for coding tasks
- Gemma, Phi, NVIDIA Nemotron — Smaller models for consumer hardware
Local Deployment Tools:
- Ollama — CLI-first, 20% faster inference, lower memory usage, ideal for developers and production
- LM Studio — GUI-focused with built-in chat, model discovery, and easy downloads
- LocalAI — OpenAI-compatible API for drop-in replacement
- vLLM — High-throughput serving for production deployments
Key Strengths:
- Complete privacy with local execution — no data leaves your machine
- Zero ongoing costs after hardware setup
- Works fully offline without internet
- Mix and match models for different tasks
- Unlimited usage with no rate limits or subscriptions
- Fine-tune and customize models for your domain
Best For: Privacy-critical workflows, air-gapped environments, unlimited AI experimentation, custom model fine-tuning, and developers who want full ownership of their AI stack.
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Browse All Skills
Build powerful Tableau dashboards and visualizations with calculated fields, parameters, and advanced analytics.
Create comprehensive technical documentation including API docs, user guides, setup instructions, and developer reference materials.
Write clear, engaging technical content from documentation to tutorials. Explain complex concepts simply and professionally.
Analyze temporal data patterns, detect seasonality, and build forecasting models for time-dependent data.
Professional translation and localization across languages with cultural adaptation, tone matching, and context-aware accuracy.
Write clear, helpful UI copy including buttons, error messages, onboarding flows, and microcopy that guides users.
Master viral content creation using Jonah Berger's STEPPS framework. Create contagious content that spreads organically.
Analyze website traffic, user behavior, and conversion data from Google Analytics and other platforms.
Transform webinar recordings into blog posts, social media content, email sequences, and downloadable resources.
Transform complex ideas into clear, concise writing. Master plain language, eliminate jargon, and improve readability.
Craft viral X (Twitter) posts, threads, and engagement-driving content with proven formulas and strategies.
Master authentication with JWT, OAuth2, sessions, and RBAC. Build secure, scalable access control systems.
Build production-grade backends with Node.js, Python, Go. REST/GraphQL APIs, authentication, databases, and microservices.
Execute database migrations across ORMs with zero-downtime strategies, data transformation, and rollback procedures.
Deploy across Cloudflare, Docker, and Google Cloud. CI/CD pipelines, infrastructure automation, and edge-first architectures.
Master Docker containerization. Dockerfiles, Compose, multi-stage builds, networking, volumes, and production deployment.
Master end-to-end testing with Playwright and Cypress. Build reliable test suites that catch bugs and enable fast deployment.
Master Git rebasing, cherry-picking, bisect, worktrees, and reflog. Maintain clean history and recover from any mistake.
Expert guidance on resolving Git merge conflicts. Analyze conflict types, apply resolution strategies, and validate solutions.
Comprehensive testing with Jest, Vitest, and Testing Library. Unit tests, integration tests, mocking, and TDD for JS/TS projects.
Build production React apps with Next.js App Router, server components, data fetching, routing, and performance optimization.
Browser automation with Playwright. Web scraping, testing, screenshots, PDF generation, and multi-browser automation scripts.
Create distributable Python packages with pyproject.toml, proper structure, and PyPI publishing workflows.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development for robust Python applications.
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