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Project overview

This collection gives coding agents 66 game-development skills plus a router that detects the project engine and the task being requested. Users describe a feature in plain language, and the router loads the relevant engine, discipline, genre, and shipping guidance in sequence. It covers Godot, Unity, Unreal, several web engines, Bevy, pygame, LÖVE, and Roblox, using portable SKILL.md folders written from primary documentation and pinned to stated engine versions.

Project overview

This repository collects independent agent skills for practical workflows such as image generation, book illustration, development harnesses, social monitoring, video download and transcription, 3D generation, and content research. Each skill lives in its own directory, so users can adopt only the capabilities relevant to their work.

Project overview

Higgsfield AI Prompt Skill helps an agent turn a natural-language brief into a structured prompt covering model choice, camera, subject, look, and action. It adds platform-aware camera controls, genre recipes, character-consistency guidance, model selection, and troubleshooting for image and video work. The library is useful for ads, narrative scenes, and other cinematic production workflows. It only constructs and refines prompts; generation itself must be run through Higgsfield's CLI, MCP connector, bundled skills, or web platform.

Project overview

Atom is a self-hosted platform for running business workflows from text or voice requests. Specialized agents plan and execute work across connected services, while visual workflows, memory, and governance levels help operators control how tasks progress. Workflow data, agent state, and memory remain on infrastructure controlled by the operator. Prompts still go to a configured cloud model when bring-your-own API keys are used, unless local models such as Ollama or Llama.cpp are selected. Deployment requires operating the backend, frontend, database, and model configuration.

Project overview

This repository offers a set of agent skills for improving visual parts of a product, including animation, typography, layout, and color. It can be installed with `npx skills add jakubkrehel/skills` and then used from an agent host that supports skills. The available project description does not enumerate the individual skills, workflows, or framework requirements, so it is best treated as a collection to inspect and invoke selectively for interface-polish work.

Project overview

Inbox Zero uses natural-language rules to organize an inbox and pre-draft replies in the user’s tone. It can track messages that need a response or are awaiting one, bulk-unsubscribe and archive unwanted mail, block cold email, prepare meeting briefs from email and calendar context, and file attachments to cloud storage. Users can also manage the inbox through Slack or Telegram. A hosted service is available; self-hosting uses the project’s setup CLI and requires Docker and Node.js 24 or newer.

Project overview

Onyx is a self-hosted AI workspace for teams that want to use different LLMs through one interface and ground answers in organizational knowledge. It can index application data through more than 50 connectors or connect agents to external systems through MCP, with additional support for research workflows and code execution. Lite mode keeps a smaller chat-and-agents stack, while the standard deployment adds vector and keyword indexes plus background synchronization workers for a fuller knowledge workflow.

Project overview

OpenMontage lets an AI coding assistant orchestrate complete video productions through readable pipeline manifests, stage skills, and Python tools. It handles research, proposals, scripts, scene planning, generated or retrieved assets, narration, music, captions, editing, composition, and post-render checks across explainers, documentaries, demos, podcast clips, localization, and other formats. It can analyze a reference video, use free local or open-footage paths, or connect cloud providers. Human approval, budget controls, and quality gates remain part of the workflow.

Project overview

Archify converts a plain-language system or process description into a self-contained HTML diagram. It supports architecture, workflow, sequence, data-flow, and lifecycle views, with dark and light themes plus PNG, JPEG, WebP, SVG, and clipboard export. A typed intermediate format, bundled validators, and post-render checks help keep targeted edits stable without requiring extra runtime dependencies.

Project overview

Skills Manager collects skills from Git repositories, local folders, archives, and the skills.sh marketplace into one desktop library. Presets can distribute selected skills to global or project workspaces for Claude Code, Codex, Cursor, Copilot, and more than a dozen other tools, with backup and multi-device sync included. Applying a preset copies skills rather than creating a live link, and CLI changes may require the desktop app to refresh or restart.

Project overview

Cognee turns ingested data into a self-hosted knowledge graph that agents can remember and query across sessions. Developers use its Python API or CLI to remember, recall, forget, and improve information, combining semantic retrieval with graph relationships. It can run locally, in Docker, through Cognee Cloud, or on a consolidated PostgreSQL memory layer; an LLM provider key is normally required for local setup.

Project overview

CC Switch replaces manual JSON, TOML, and environment-file edits with a desktop interface for managing providers across Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, Hermes, and related tools. It also synchronizes MCP servers, prompt files, and skills across supported apps and can browse session history. Most tools still need a terminal or CLI restart after a provider switch.

Project overview

LBRY Desktop bundles the protocol daemon with a graphical browser and wallet for the LBRY decentralized content marketplace. Installers are provided for Windows, macOS, and Debian-based Linux, and the installed application connects to the LBRY network for browsing content and using the accompanying wallet.

Project overview

Orca is an agent development environment for coordinating multiple terminal-based coding agents across separate worktrees. It brings repositories, terminals, previews, agent state, account switching, and usage tracking into one workspace. A mobile companion can notify you when work finishes, show progress, and send follow-up instructions while the desktop sessions continue running.

Project overview

World Monitor combines hundreds of curated feeds with military, economic, disaster, escalation, and market signals in a map-based situational dashboard. Users can access it through the web, desktop app, CLI, REST API, or MCP server; the base app starts without environment variables, while some data sources need credentials, and local AI is available through Ollama.

Project overview

Readest opens EPUB, MOBI, AZW3, FB2, CBZ, TXT, and PDF files across macOS, Windows, Linux, Android, iOS, and the web. Readers can switch between scrolling and paginated layouts, search within books, add bookmarks, highlights, and notes, look up terms, or place two documents side by side. It is designed for people who want a consistent reading workflow across several device types.

Project overview

DBX provides a roughly 20 MB desktop client for connecting to and managing dozens of SQL and NoSQL databases, with Docker and web deployments available as well. It includes an AI assistant and an MCP server so coding agents can query databases through connections already configured in DBX, with safety checks before generated SQL runs. The desktop app works offline and does not collect telemetry; AI features need a reachable model endpoint or local Ollama.

Project overview

video-editing-skill gives OpenClaw and Codex a local workflow for talking-head, interview, and vlog footage. It can transcribe speech, split sentences, choose and merge clips, burn subtitles, and prepare plans for short-form batches, hook variants, jump-cut fades, picture-in-picture overlays, and vertical reframing. Optional YOLO analysis can identify scenes or subjects, while a lighter mode produces sampled frames for review. It suits creators who want a script-driven process with JSON and Markdown artifacts, not a fully graphical one-click editor.