Enables MCP clients to create and list Huawei Cloud project-management projects through stdio tools, using AK/SK HMAC signing and returning structured errors.

Local code intelligence MCP server and CLI for AI coding agents

Use Gemini from Claude Code to review code or delegate tasks.

One command. Full stack. Zero compromise. — All-in-one Claude Code skill with 33 modes, 6-layer security, 23 hooks, and 75% token savings. Works on Codex, Cursor, Manus, Windsurf.

Local AI Coding Hub: Run Claude Models Offline in 2026

CLI and MCP server for driving the Unreal Engine 5 editor with AI — create and edit materials, blueprints, Niagara, PCG, StateTrees, data tables, widgets, and Enhanced Input. Single Go binary, no Python, no dependencies.

Spool-dispatch orchestration engine with unified state machine, skills, and automated git enforcement

No description yet.

Cross-platform toolkit to enhance Claude Code with multi-LLM consensus, 8 specialist agents, semantic knowledge search, and one-command install.

Claude Code Lint - A comprehensive linting tool for Claude Code projects

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent t

Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golan

🚀 One sentence → your one-person company of AI experts → complete deliverable in minutes. 276 CN + 184 EN + 5 more languages (ko/ru/pt-BR/id/ar) · zero-code YAML · auto-verified acceptance · Web Studio / Desktop / Docker · 15 LLM providers (11 key-free). 一句话组建你的「一人公司」AI 专家团队，几分钟交付完整方案；验收自动核验，网页 / 桌面 / Docker 全渠道。

Enables MCP-capable assistants to build, preview, and publish full-stack web apps by directing a hosted coding agent, with tools for projects, wallet balance, domains, previews, downloads, and GitHub export.

Open DeepSeek Harness workspace directories in VS Code directly from the web GUI.

DeepSeek Harness Codex Desktop — 无需预装环境、开箱即用的跨平台桌面客户端 · A ready-to-use cross-platform DeepSeek Harness desktop client with no environment setup

Enables agents to reach pump.fun's full API surface — official developer routes, bonding-curve reads, Solana RPC, and unsigned trade building — by writing JavaScript against one merged OpenAPI document, using just two tools (search and execute). Model-authored code runs in a network-less sandbox, so multi-step questions resolve in a single round trip while credentials stay on the host Worker.

Exposes the Jupyter notebooks open in VS Code to MCP-compatible AI agents, letting them edit cells in the open editor and execute them in the live kernel without file conflicts. Agents can make partial edits, track stale cells, inspect variables, and manage kernels while preserving the user's interpreter choices and unsaved work.

Enables Antigravity to delegate concrete local coding tasks to Codex CLI with durable sessions, background execution, native chat links, and event-driven receipts.

Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.

Enables AI clients to coordinate coding agents on the user’s own computers and servers over MCP, connecting to Herdr, Codex app-server, and experimental ZCode/Amp connectors through a self-hosted relay without inbound ports.

Enables MCP clients to classify free-text purchase descriptions into United States federal procurement codes and submit authorized, idempotent reviews through typed tool contracts.

Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.