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openai/skills

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9,043 stars·508 forks·Python·30 views

Skills

This project is a framework for packaging and installing standardized capabilities, scripts, and instructions that LLM agents execute to perform complex tasks. It functions as a tool orchestrator and skill framework, bundling instructions and resources into portable formats that agents discover and use for repeatable workflows.

The system distinguishes itself through a manifest-driven discovery process, allowing agents to identify available capabilities and their execution parameters. It supports the deployment of these modular capability sets into isolated runtime environments using remote URLs or local folder paths.

The platform covers a broad range of automation domains, including headless browser orchestration for web tasks, cloud application deployment, and multimedia data extraction for audio transcription and document processing. It also includes tools for design system automation, security analysis for threat modeling, and the management of GitHub development workflows.

Features

  • Agent Skill Frameworks - Provides a comprehensive framework for defining, registering, and installing standardized capabilities and scripts that LLMs execute.
  • Capability Packaging Formats - Provides standardized directory structures and formats for bundling specialized workflows and instructions for AI agents.
  • Skill Installation - Implements a mechanism to install curated or experimental capability packages using folder paths or remote repository URLs.
  • AI Agent Capabilities - Creates and distributes standardized packages of instructions and scripts for AI agent discovery and execution.
  • LLM Orchestrators - Manages the orchestration and execution of specialized agent skills across headless browser and cloud environments.
  • Isolated Runtime Provisioning - Deploys specific capability sets into isolated runtime environments using remote URLs or local folder paths.
  • Skill Manifests - Uses standardized metadata files to allow agents to discover available capabilities and their execution parameters.
  • Capability Packaging - Bundles instructions and scripts into portable packages that agents discover and install to expand their toolset.
  • Headless Browser Orchestration - Controls external browser instances via automation scripts to perform interactive web tasks and UI testing.
  • AI Workflow Automation - Provides AI-driven orchestration to automate software development, security analysis, and design tasks through natural language instructions.
  • Instruction-to-Resource Mapping - Maps high-level agent instructions to the specific local scripts or remote assets required to complete a task.
  • Document Data Extraction - Processes audio and images to transcribe speech and extract structured data from documents and screenshots.
  • Browser Automation - Runs interactive tests and web automation scripts using a headless browser automation tool.
  • Multimedia Processing - Transcribes audio, converts speech to text, and extracts data from documents or screenshots.
  • External Tool Integrations - Connects agent workflows to third-party project management and version control systems through API synchronization.
  • Browser Automation - Runs interactive web tests and automation scripts through a headless browser for repetitive online tasks.
  • Agent Skills - Official repository for OpenAI model tool extensions.

Star history

Star history chart for openai/skillsStar history chart for openai/skills

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does openai/skills do?

This project is a framework for packaging and installing standardized capabilities, scripts, and instructions that LLM agents execute to perform complex tasks. It functions as a tool orchestrator and skill framework, bundling instructions and resources into portable formats that agents discover and use for repeatable workflows.

What are the main features of openai/skills?

The main features of openai/skills are: Agent Skill Frameworks, Capability Packaging Formats, Skill Installation, AI Agent Capabilities, LLM Orchestrators, Isolated Runtime Provisioning, Skill Manifests, Capability Packaging.

Which projects share features with openai/skills?

Projects with overlapping indexed features include: kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development… mastra-ai/mastra — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and… github/awesome-copilot — Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to… agentskills/agentskills — Agent Skills is a framework for bundling executable scripts and metadata to extend the capabilities and tool-use of… cloudflare/cloudflare-docs — This repository is a technical documentation site and a collection of guides and references for implementing… vercel/vercel — Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure…

Projects sharing features with Skills

These projects share indexed features with Skills. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • kilo-org/kilocodeKilo-Org avatar

    Kilo-Org/kilocode

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    Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which

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  • mastra-ai/mastramastra-ai avatar

    mastra-ai/mastra

    21,221View on GitHub↗

    Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

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  • github/awesome-copilotgithub avatar

    github/awesome-copilot

    35,119View on GitHub↗

    Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to orchestrate multi-agent teams and automate complex coding workflows. It functions as a centralized platform for managing AI-driven development, enabling developers to deploy specialized agents that interact with local files, terminal commands, and external APIs to execute end-to-end software delivery tasks. The project distinguishes itself through its focus on governance and extensibility, offering a suite of security controls, policy-based execution guardrails, and audit trails t

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    View on GitHub↗35,119
  • agentskills/agentskillsagentskills avatar

    agentskills/agentskills

    10,303View on GitHub↗

    Agent Skills is a framework for bundling executable scripts and metadata to extend the capabilities and tool-use of language model agents. It provides a standardized directory structure for packaging specialized workflows, technical instructions, and portable agent capabilities for distribution across different AI platforms. The project features a tool optimization suite used to refine skill triggers and evaluate the reliability of agent-activated capabilities. It includes a context-aware knowledge manager that organizes technical references into a hierarchy, loading them on demand to reduce

    Pythonagent-skills
    View on GitHub↗10,303
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