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Found 3,197 Skills
Functional programming patterns for Node.js/Deno backend development using fp-ts, ReaderTaskEither, and functional dependency injection
Add an external skill from a GitHub repository to the current workspace. Use when users want to import, install, or add a skill from a GitHub URL (e.g., `/add-skill https://github.com/OpenHands/skills/tree/main/skills/codereview` or "add the codereview skill from https://github.com/OpenHands/skills/"). Handles fetching the skill files and placing them in .agents/skills/.
Automate your Flutter app releases to beta or production with this handy shell script that handles version bumping, formatting, cleaning, rebuilding, and deployment via Fastlane.
Learn how to structure a Flutter project to reuse models and business logic across iOS, Android, Web, desktop platforms, and a REST API deployable to Google Cloud Run, enabling a single codebase for both client and server.
Learn how to build a simple WebRTC video call application using PocketBase as a signaling server, enabling peer-to-peer communication with SQLite on the server and realtime updates via Server Sent Events.
Learn how to create a dynamic HTML table from JSON data using a Lit web component, with examples for fetching data from a URL or using inline JSON, and the ability to make the table editable.
Fine-tune models on your data to maximize quality and cut costs. Use when prompt optimization hit a ceiling, you need domain specialization, you want cheaper models to match expensive ones, you heard "fine-tuning will make us AI-native", you have 500+ training examples, or you need to train on proprietary data. Covers DSPy BootstrapFinetune, BetterTogether, model distillation, and when to fine-tune vs optimize prompts.
Make your AI follow rules and policies. Use when your AI breaks format rules, violates content policies, ignores business constraints, outputs invalid JSON, exceeds length limits, includes forbidden content, or doesn't comply with your specifications. Covers DSPy Assert/Suggest for hard and soft rules, content policies, format enforcement, retry mechanics, and composing multiple constraints.
Score, grade, or evaluate things using AI against a rubric. Use when grading essays, scoring code reviews, rating candidate responses, auditing support quality, evaluating compliance, building a quality rubric, running QA checks against criteria, assessing performance, rating content quality, or any task where you need numeric scores with justifications — not just categories.
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions. Use when the user needs to chain multiple AI models or automate multi-step content creation.
Generate songs, instrumentals, lyrics, and podcasts using EachLabs Mureka AI models. Also supports song extension, stem separation, and song recognition. Use when the user wants to create music, lyrics, or audio content.
Install Flutter SDK via git clone and configure for all platforms