Query on-chain data and prepare swaps, transfers, and gasless transaction flows.
Project overview
Bitget Wallet Skill gives agents tools for token discovery, market and address analysis, balance queries, swaps, transfers, and order tracking across supported EVM chains and Solana. Fund-moving workflows generate transaction data and require user confirmation and signing by default. Using it depends on Bitget Wallet's API, network access, and appropriate wallet credentials.
Automate Reddit browsing, interaction, and publishing through your browser
Project overview
reddit-skills connects an AI agent to your own Chrome browser and Reddit account through an extension bridge. Its separate skills cover account setup, community exploration, content operations, interaction, and publishing, including monitoring posts, commenting, collecting page data, and triggering workflows. It assumes Windows 10 or 11, Chrome, an active internet connection, and account permission, and recommends conservative activity rates, log checks, and stopping the browser task when needed.
Run a self-hosted personal AI assistant across models and channels.
Project overview
ZeroClaw is a single-binary agent runtime that connects cloud or local model providers to channels such as Telegram, Discord, email, webhooks, and CLI. It supports tools, memory, scheduled or event-driven procedures, and a web dashboard. Supervised autonomy, workspace boundaries, and OS-level sandboxes gate riskier actions by default.
Run, switch, and automate coding agents across local and remote backends.
Project overview
OpenHands Agent Canvas is a self-hosted control center for running OpenHands, Claude Code, Codex, Gemini, and other ACP-compatible coding agents from one interface. It can switch among local, Docker, virtual-machine, and cloud backends and trigger engineering workflows on schedules or webhooks. A direct host installation grants full filesystem access. The code is currently moving to the software-agent-sdk and agent-canvas repositories.
Prepare daily Amazon seller digests from public feeds in Chinese or English.
Project overview
This skill separates Amazon seller intelligence into a deterministic feed stage and an editorial stage. A script collects eight configured public sources into raw JSON, then the agent writes Chinese, English, or bilingual digests with item-specific summaries; authenticated signals stay in stdout, and social publishing is never automatic.
Manage AI coding projects, worktrees, and sessions from one desktop app.
Project overview
Jean gives developers one desktop workspace for multiple projects, Git worktrees, terminals, and chat sessions across Claude CLI, Codex CLI, Cursor CLI, and OpenCode. It runs locally with the tools you already have and can connect to GitHub and Linear. macOS is tested, while Windows and Linux support is less established.
Automate workflows and AI agents with a visual canvas and custom code.
Project overview
n8n combines a visual workflow builder with JavaScript, Python, and npm packages for automations that connect models, data, and business systems. It can run in n8n Cloud or be self-hosted with Node.js or Docker, with a large library of integrations and templates. The source is available under a fair-code licensing model rather than a conventional permissive open-source license.
Build, deploy, and monitor continuously running agents with visual blocks.
Project overview
AutoGPT’s current platform uses a low-code block builder to create agents and workflows, manage deployments, and run automations continuously from external triggers. The repository also retains classic tooling such as Forge and an agent benchmark. Self-hosting is a technical Docker-based setup, the hosted service remains a closed beta, and licensing differs between the Polyform Shield platform directory and the MIT-licensed classic components.
Turn complex coding tickets into planned, reviewable agent workflows.
Project overview
LoopTroop turns a complex coding ticket into an interview-led plan, small execution beads, isolated worktree changes, and a final review. Its LLM council compares planning drafts, while failed implementation attempts can reset and retry with fresh context. It is designed for long-running feature work rather than quick edits, and the project recommends running unattended agents inside a disposable VM or sandbox.
Orchestrate multi-agent automation with role-based teams and event-driven flows.
Project overview
CrewAI combines two approaches to agent automation: Crews organize autonomous agents with roles, goals, tools, and tasks, while Flows provide explicit event-driven workflow control. Python developers can use these primitives for both collaborative and tightly managed processes, with optional tracing and centralized management. Example projects typically require API keys for the chosen model and any external tools.
Orchestrate research, coding, and automation agents with a small Python setup.
Project overview
PraisonAI supports both single-agent and multi-agent workflows for research, code generation, content work, data tasks, and cross-channel automation. Developers can start with the Python SDK or CLI, then add a visual flow builder, chat UI, or messaging dashboard as needed. Memory, knowledge retrieval, planning, MCP, agent handoffs, and broad model support are built in, while some web-search and messaging features require additional API keys or platform tokens.
Use Gemini from the terminal to inspect code, make changes, and automate development tasks.
Project overview
Gemini CLI lets developers work with Gemini directly from a terminal to inspect repositories, generate or edit code, debug issues, and run tool-assisted workflows. It includes file, shell, web, and search tools, supports MCP extensions and non-interactive scripting, and offers Google sign-in, API key, or Vertex AI authentication. A personal Google account can use the documented free tier.
Run and monitor multiple coding agents in parallel worktrees from a native macOS app.
Project overview
Supacode gives each coding task its own Git worktree and real terminal, allowing Claude, Codex, Copilot, and other agents to run side by side from one native macOS window. Sessions persist in the background, and live status badges show when an agent is busy, idle, or waiting for input. Remote repositories can also be managed over a shared SSH connection, although that mode is still in beta and has reduced local-only features.
Manage multiple coding agents in parallel from one terminal dashboard.
Project overview
Claude Squad runs coding agents such as Claude Code, Codex, Gemini, and Aider in separate Git worktrees, so several tasks can progress without colliding. Its tmux-based terminal interface keeps sessions alive, shows diffs for review, and lets you check out or push approved changes. tmux and GitHub CLI are required.
Run coding agents in hardware-isolated microVMs and review every change.
Project overview
Brood Box launches Claude Code, Codex, and other agents inside ephemeral microVMs backed by KVM or macOS Hypervisor.framework. A copy-on-write workspace snapshot keeps real files untouched until you inspect and accept the resulting diffs, while egress profiles and selective secret forwarding reduce exposure. The project is explicitly experimental.
Orchestrate multiple coding agents for unattended implementation, testing, and review.
Project overview
Kodo assigns a goal to coding backends such as Claude Code, Cursor, Codex, Gemini, or Kimi and coordinates repeated work cycles with independent verification. It can implement features, run improvement reviews, test software through realistic user workflows, and fix findings from earlier runs, with effort levels controlling how aggressively agents iterate. At least one supported coding-agent backend must be installed.
Convert audio into subtitles, refine them, and create social copy.
Project overview
This Agent Skills collection covers a video subtitle workflow from audio transcription to publishing support. It converts common audio formats into SRT files, can refine wording and proper nouns against an `origin.md` transcript without changing timestamps, adds card annotations, and generates platform-specific summaries for Facebook, Threads, and YouTube. Each stage can be invoked separately or combined into the provided workflow. Users need to prepare the expected files in the same working directory and install the dependencies required by the individual skills.
Connects cloud Claude chats to local Claude Code tasks.
Project overview
cowork-to-code-bridge connects Claude Cowork or a browser chat to Claude Code on a macOS, Linux, or WSL2 machine. It forwards approved tasks or scripts without opening network ports or using sudo, streams results back, and caches idempotent retries so work is not run twice.