2K skills ・ Works with: OpenAI · sorted by popularity
Build document search with Chroma, a database that stores text as numerical representations of meaning. Save and update documents, filter by metadata, and connect retrieval to AI applications using LangChain or LlamaIndex.
Extract information from text into defined fields, then check types and values with Pydantic, a Python data validation library. The skill covers structured LLM responses, automatic retries after validation failures, and streaming results as they are generated.
Configure Hermes to run AI models through Actual Computer on your own hardware. Set up either the hosted relay or a local connection, select models, verify responses, and troubleshoot request errors or empty output.
Use LLaVA, a model that understands images and text, to answer questions about pictures, write image descriptions, and build image chat applications. Includes guidance for setup, ongoing conversations, and model memory options.
Build search and retrieval systems with Pinecone, a managed database for numerical representations of content. Covers data uploads, filtered similarity searches, combined semantic and keyword search, and connections to LangChain and LlamaIndex.
Control local language model output with patterns and grammar rules to generate structured JSON, formatted dates, and fixed classification labels. The skill also covers reusable Python functions and workflows that combine multiple generation steps.
Classify images using written labels without additional training data, or find images that match a text query. This skill provides CLIP workflows for image-text similarity, batch processing, and storing searchable image representations in vector databases.
Have an agent join Google Meet, collect live captions, and use the transcript for summaries and follow-up tasks. An optional voice mode lets it speak during calls after additional audio setup.
Delegate code changes and multi-step development tasks to OpenHands CLI using a model supported by LiteLLM, a connection layer for model providers. Run tasks without an interactive interface, inspect progress events, and resume previous conversations.
Delegate feature development, code refactoring, and pull request reviews to OpenAI Codex CLI. The skill also covers monitoring long tasks and fixing multiple issues in parallel using separate Git working directories.
Set up and operate Hermes Agent across terminal, desktop, and messaging interfaces. This guide covers model configuration, themes, extensions, and coordination of independent agent instances, with references for task-specific settings and troubleshooting.
Guides implementation and maintenance of Claude applications using language-specific references and official SDKs, the libraries used to call the API. Covers tool integration, streaming responses, model migration, cost reviews, prompt audits, and evaluation workflows.
Develop ChatGPT apps with interactive React widgets using mcp-use and OpenAI Apps SDK. Guidance covers app scope, server tools, shared state, and display settings. This skill is deprecated and points users to mcp-app-builder.
Review a UI/UX plan before implementation, score its design dimensions, and identify missing decisions. Through discussion, the skill adds concrete improvements directly to the plan so the review produces an updated plan.
Use OpenAI Codex CLI to review code changes, challenge an implementation by looking for ways it could fail, or discuss technical questions. Three modes provide an independent opinion, with follow-up questions supported in ongoing consultations.
Find guidance on Codex settings, pricing, and OpenAI products and APIs using current official documentation. Get cited answers for setup, troubleshooting, model comparisons, migration planning, and prompt changes, with uncertainty stated when sources are inconclusive.
Create photos, illustrations, product mockups, and other bitmap images, or edit existing images by replacing backgrounds, removing objects, and making transparent cutouts. Use reference images to guide style, composition, or visual variants.
Connect an application's LLM calls through the Caveman Cloud gateway to measure usage and cost without changing request content. The skill updates connection settings and verifies the integration with one small, real provider request.
Turn written text into spoken audio using OpenAI's API and built-in voices. Use it to create narrated explanations, audio versions of lectures, or quick voiceover tracks from prepared scripts.
Generate, remix, and manage short video clips through OpenAI's Sora API. Use it to create cinematic shots, produce b-roll—supplementary footage for an edit—or try different versions of a video concept.
Generate and edit project images with OpenAI's Image API, including UI mockups, icons, illustrations, social cards, and visual references. This catalog entry helps agents discover the skill; the complete workflow requires installing the upstream bundle.
Create landing pages, websites, and app interfaces with restrained composition and a clear visual presence. The skill draws on OpenAI's frontend production playbook to guide the appearance and arrangement of interface elements.
Read, create, and edit .docx documents while paying attention to formatting and layout fidelity. Use it for Word document tasks where both the written content and its presentation need attention.
Build document search with AgentDB that finds related content by meaning. Store documents as numerical representations, combine similarity search with metadata filters, and retrieve relevant passages for systems that generate answers using source material.