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Showing 40 open source projects for "include"
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Claude Skills
Public repository for Agent Skills
...Rather than relying on handcrafted prompts every time, Skills teach an AI agent procedural knowledge and task-specific workflows so it can apply that expertise reliably, whether the task involves document creation, data analysis, design generation, or technical automation. Each Skill lives in its own directory with a SKILL.md file containing metadata and instructions, and can include supplemental scripts or assets that the agent uses to perform complex operations when relevant. -
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UI-TARS Desktop
A GUI Agent app based on UI-TARS to control your computer using AI
UI-TARS Desktop is a graphical user interface (GUI) agent application that leverages the UI-TARS vision-language model to enable natural language control of computers. This cross-platform tool supports both Windows and macOS, allowing users to perform tasks through intuitive commands. Key features include screenshot-based visual recognition, precise mouse and keyboard control, and real-time feedback on actions. Provides immediate responses and visual feedback on actions performed. The application facilitates seamless interaction with the computer, enhancing user experience by simplifying complex operations into straightforward language instructions. ... -
3
LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, etc
...The project features a sleek, intuitive interface reminiscent of popular chat UIs but with powerful options such as multimodal interaction, conversation branching, and custom presets that let you tailor how the model responds. Developers and power users can extend its capabilities via plugins and agentic tools, enabling workflows that go beyond simple Q&A to include tasks like code execution or automated assistant behavior. -
4
Graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)
...It is particularly useful in domains such as network analysis, knowledge graphs, and system architecture visualization. The architecture emphasizes flexibility, enabling users to customize how data is mapped and displayed. It may also include analytical features to explore patterns, clusters, or anomalies within the graph. Overall, Graphify serves as a bridge between raw data and visual insight. -
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5
Agent Skills
Skills for AI coding agents
...In this repository, each skill adheres to the Agent Skills specification, meaning they’re defined as folders with a SKILL.md file (containing task descriptions and step-by-step guidance) and can include helper scripts and reference material that the agent can execute or consult when invoked. The goal of the project is to make it easy for AI assistants like Claude Code, OpenCode, Cursor, Codex, and others that support this open ecosystem to automatically apply best practices or perform concrete actions when a relevant user intent is detected. ... -
6
img2threejs
Rebuild the object in a reference image as a code-only, procedural
...It generates a TypeScript THREE.Group factory from primitives, procedural shaders, and generated geometry rather than extracting or downloading a mesh. The resulting hierarchy can include pivots, sockets, colliders, and destruction groups so the model is ready for interaction and animation. A staged pipeline evaluates suitability, defines a detailed specification, builds successive passes, renders browser previews, and compares them with the source image. Quality gates require structural detail, material realism, correct attachments, and passing visual-review scores. ... -
7
Codex plugin for Claude Code
Use Codex from Claude Code to review code or delegate tasks
...It likely provides abstractions for handling code generation, editing, and analysis while maintaining consistency across workflows. The system emphasizes interoperability, allowing developers to plug Codex capabilities into broader agent ecosystems without rewriting core logic. It may also include mechanisms for managing execution context, permissions, and tool access, ensuring that generated code can be safely applied. This makes it particularly useful for complex development pipelines where multiple agents or tools need to collaborate. -
8
AI Marketing Skills
Open-source AI marketing skills for Claude Code
AI Marketing Skills is a comprehensive open-source framework designed to transform AI agents into fully operational marketing and sales systems by equipping them with structured, reusable “skills” that automate real business workflows. Instead of simple prompts, the project provides complete operational modules that include scripts, scoring systems, and decision-making logic, allowing AI tools like Claude Code to execute complex marketing tasks end-to-end. The system is organized into multiple domains such as growth experimentation, sales pipeline generation, content production, outbound marketing, SEO optimization, and financial analysis, effectively covering the entire revenue lifecycle of a business. ... -
9
PicoClaw
Ultra-Efficient AI Assistant in Go
...PicoClaw can run on hardware costing as little as $10 and on resource-constrained environments like RISC-V or ARM boards, with cross-architecture portability achieved through a single self-contained binary. The project’s goals include broad platform support (including Linux, macOS, and multiple CPU architectures), rapid startup times that make the assistant feel responsive, and integration with popular messaging platforms via gateways or bots. -
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10
ChatMCP
ChatMCP is an AI chat client implementing the Model Context Protocol
...You can install MCP Server from MCP Server Market, MCP Server Market is a collection of MCP Server, you can use it to chat with different data. Tested on major distributions: Ubuntu, Fedora, Arch Linux, openSUSE. Improved Experience: Latest versions include better dark theme support, unified data storage following XDG Base Directory Specification, and an optimized UI layout for Linux desktop environments is planned. -
11
PenEcho
Think with AI beyond the chat box
...Users can draw with pressure-sensitive ink, erase, pan, zoom, type formatted text, and arrange ideas across a large virtual workspace. The application sends focused visual regions to an API, Codex CLI, or Claude CLI and converts model responses into editable canvas commands. AI output can include text, formulas, plots, mixed drawings, erasures, and declarative animations. Sparse tile rendering keeps the 20,000-by-20,000 logical canvas efficient without allocating one enormous bitmap. Local snapshots, undo and redo, lasso selection, PNG export, and manual or automatic AI modes support iterative work. PenEcho is available as a desktop application or Node.js package and supports configurable models, reasoning levels, request retention, and plugins. -
12
Cangjie Skill
Distill high-value content like books, long videos, podcasts, and more
...Each accepted skill records supporting material, a reconstructed explanation, examples, trigger situations, executable steps, and limitations. Strict verification rejects generic or weak ideas that lack independent evidence, predictive value, or meaningful uniqueness. The generated package can include an overview, glossary, reference graph, long-form digest, individual skill files, and test prompts. Completed skills can be installed for compatible coding agents such as Claude Code and Cursor. -
13
Agent Skills
Specification and documentation for Agent Skills
...The central goal is portability: you can write a skill once and reuse it across different agent runtimes and developer tools that implement the format. This repo serves as the canonical reference for how skills should be structured, what metadata they should include, and how an SDK can load and apply them consistently. It also includes supporting materials like guides and examples so builders can create skills that are predictable, testable, and shareable with teams. -
14
Claude SEO
Universal SEO skill for Claude Code
...It combines 25 sub-skills and 18 specialist agents across technical SEO, content quality, Schema.org markup, GEO and AEO, local SEO, e-commerce, international SEO, backlinks, semantic clustering, and Google API workflows. The system is designed to produce prioritized action plans instead of generic audit notes. Recommendations include first-principle observations, dependency relationships, falsifiability checks, and leading indicators. It can run full site audits, single-page reviews, schema validation, AI search readiness checks, sitemap workflows, local SEO analysis, and SEO reporting. Claude SEO is useful for agencies, in-house teams, and consultants who want repeatable SEO audits inside Claude Code. -
15
Three.js Object Sculptor
Codex plugin that turns attached object images into code-only
...It first evaluates whether the image is suitable and produces an ObjectSculptSpec describing geometry, materials, lighting, hierarchy, pivots, and quality targets. Codex then follows staged passes from blockout and structural work through surface detail, interaction design, and optimization. Generated models include meaningful sockets and anchors for animation, transformation, physics, and destruction. Reference and rendered screenshots can be combined for AI vision review and scored self-correction. The workflow targets browser-friendly props and stylized reconstructions rather than photogrammetry or exact mesh extraction. -
16
OpenClaw Control Center
Turn OpenClaw from a black box into a local control center
...The system is likely built with usability in mind, offering dashboards or visualization tools that make complex agent behaviors easier to understand and manage. It may also include logging, debugging, and orchestration features that support large-scale deployments of autonomous systems. The project emphasizes coordination and observability, ensuring that users maintain control over distributed agent processes. Overall, it functions as the operational backbone for managing advanced AI agent infrastructures. -
17
tickflow-stock-panel
Self-hosted, zero-operation A-share quantitative workbench
...It is aimed at individual retail investors and quant hobbyists who want a local research dashboard rather than a closed commercial terminal. The project uses TickFlow as a data source but is not an official TickFlow product. Its modules include a stock screener, indicator pipeline, backtesting engine, monitoring center, single-stock analysis, concept analysis, industry analysis, and post-market review. It also uses LLM capabilities for strategy generation, stock analysis, financial interpretation, and market recap workflows. The project is for learning and quantitative research only, and its backtests or AI outputs should not be treated as investment advice. -
18
notebooklm-py
Unofficial Python API and agentic skill for Google NotebookLM
...The project covers notebook management, source ingestion, conversational querying, research workflows, and sharing controls, while also enabling the generation of a wide range of study and media artifacts. These outputs include audio overviews, videos, slide decks, infographics, quizzes, flashcards, reports, data tables, and mind maps, with configurable formats and export options. -
19
Excalibur
Excalibur is a highly opinionated agent harness
...The system likely provides tools for managing tasks, orchestrating processes, or enhancing decision-making capabilities in automated systems. Its design suggests an emphasis on control and precision, allowing users to define how tasks are executed and monitored. It may include abstractions for handling inputs, outputs, and intermediate steps, enabling more predictable behavior in complex workflows. The architecture is likely modular, supporting customization and extension for different use cases. This makes it suitable for experimentation as well as integration into larger systems. Overall, excalibur represents a flexible tool for managing structured processes in AI-driven or automated environments. -
20
The Fable Method
How Claude Fable 5 worked, distilled into skills
...Four included skills cover planning, execution, judging completed work, and generating domain-specific adapters. The repository preserves evaluation cases, raw judge outputs, failures, and results from hundreds of agent runs. Its rules include bounded retries, authorization gates, evidence requirements, and honest caveat reporting. It can be installed as a Claude Code plugin or as standalone skills. -
21
eve
The Framework for Building Agents
...It uses a filesystem-first model where an agent is defined as a directory of files, making the project structure itself the agent contract. The framework is designed to include production concerns from the start instead of leaving developers to assemble durability, sandboxing, approvals, and deployment separately. Eve supports durable execution, sandboxed compute, human-in-the-loop approvals, subagents, long-running work, and Vercel-native deployment. It also fits into agent templates and app workflows, such as Slack agents or persisted chat experiences. ... -
22
Mike
OSS AI Legal Platform
...The project emphasizes simplicity and clarity, providing focused functionality without unnecessary overhead. Its design likely supports extensibility, allowing users to adapt it to specific use cases or integrate it into larger pipelines. The repository may include scripts, utilities, or abstractions that reduce repetitive tasks and improve productivity. Overall, mike represents a pragmatic approach to solving targeted technical problems through concise tooling. -
23
Rewriting Project Claw Code
Ensure consistency and alignment between different codebases
...The project provides mechanisms to compare, validate, and synchronize code or behavior, helping teams avoid discrepancies that can lead to bugs or inconsistencies. It may include automation tools that detect differences and enforce standards across repositories. The tool is useful in scenarios such as maintaining parity between frontend and backend logic, ensuring API consistency, or synchronizing multiple deployments. Its design promotes reliability and reduces the risk of divergence in complex systems. ... -
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clawchief
Turn your OpenClaw into a Chief of Staff
...It is particularly useful in scenarios where multiple agents must collaborate on interdependent tasks, such as coding, research, or automation pipelines. The system may also include monitoring tools to track agent performance and identify failures or inefficiencies. -
25
Clawith
OpenClaw for Teams
...The system likely emphasizes integration with external tools and services, allowing agents to extend their capabilities beyond internal reasoning. Its architecture suggests support for multi-agent collaboration, enabling distributed problem-solving and task delegation. It may also include monitoring and control features to ensure that agent behavior remains aligned with user goals. The project reflects a broader trend toward building AI systems that act as autonomous operators rather than passive assistants. Overall, Clawith serves as a foundation for building advanced, action-oriented AI workflows.
