Shape agent capabilities into your workflow.

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

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

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

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

This collection packages established approaches to product strategy, UX, conversion, sales, innovation, growth, code quality, and systems architecture as Agent Skills. Users can install themed bundles or individual skills across compatible assistants. The material draws from named books, frameworks, and platform guidance, whose copyrights remain with their original authors and publishers.

Project overview

obsidian-second-brain turns an Obsidian vault into a shared working memory for Claude Code, Codex, Gemini CLI, OpenCode, Hermes, and Pi. Its commands can save conversations, ingest URLs or files, update related notes, synthesize themes, reconcile contradictions, and search the vault. Installation is platform-specific and requires pointing the agent to the vault; some research, calendar, and background workflows also depend on external services or capabilities that are not available in every supported runtime.

Project overview

Cangjie Skill turns books, courses, long videos, podcasts, interviews, and other transcripts with reusable methods into modular agent skill packages rather than ordinary summaries. Its workflow maps the source, extracts frameworks, principles, examples, counterexamples, and terminology in parallel, filters weak candidates, and stress-tests the remaining skills. Deliverables can include an overview, skill index, reader digest, glossary, individual SKILL.md modules, and test prompts, making it best suited to structured reuse instead of simple content compression.

Project overview

Serenity.skill guides an agent through supply-chain research for themes such as AI, semiconductors, and robotics. It maps demand and industry layers, looks for bottlenecks with limited suppliers, difficult capacity expansion, or long qualification cycles, then checks filings, financial reports, customers, capacity, and risks. The output is a prioritized list of companies or fund directions with an evidence trail and follow-up checks. It is strictly a research aid: it does not execute trades, promise returns, or replace the user's final investment decision.

Project overview

MLflow records and manages the development and operation of LLM applications, AI agents, and machine-learning models. Teams can start a server, enable automatic tracing, inspect calls and metrics in the UI, and use evaluation, prompt optimization, experiment tracking, model registry, and deployment workflows to improve their systems. It can run locally, on private infrastructure, or in cloud environments, making it useful when generative AI and traditional model lifecycles need a shared operational layer.

Project overview

Equip AI coding agents with Supabase guidance for databases, Auth, Edge Functions, Realtime, Storage, client libraries, and server-rendered integrations. Install the full collection or individual skills, then use them for session and RLS troubleshooting, schema reviews, migrations, query tuning, and index decisions across many compatible agents.

Project overview

PentAGI lets autonomous agents plan and execute authorized penetration-testing work inside an isolated Docker environment. It includes more than twenty security tools such as nmap, Metasploit, and sqlmap, and can retain useful findings for later tasks. Cloud and local models are supported; smaller open models benefit from execution monitoring and task planning at the cost of higher token usage.

Project overview

Equip compatible agents such as Claude Code, Codex, and OpenCode to work with Obsidian-specific Markdown, Bases views and formulas, JSON Canvas files, and the Obsidian CLI. A Defuddle skill can also extract cleaner Markdown from web pages before saving it into a vault. Installation is available through the Claude marketplace, npx skills, or manual placement in the relevant skills directory.