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符合当前检索条件的共有 950
Tool 7 浏览 · 7 下载

postavel

by ClawHub · v1.0.0

Connect to Postavel social media management platform via MCP (Model Context Protocol). Create, schedule, and manage social media posts across Facebook, Instagram, and LinkedIn. Use when the user wants to manage social media content, create posts, schedule content, view their content calendar, or interact with their Postavel account through natural language. Activate when user mentions "Postavel", "social media", "schedule post", "create post", "content calendar", or wants to post to Facebook, Instagram, or LinkedIn via their Postavel account.

Tool 7 浏览 · 7 下载

claude-usage-checker

by ClawHub · v1.0.0

Check Claude Code / Claude Max usage limits. Run when user asks about usage, limits, quota, or how much Claude capacity is left.

Tool 8 浏览 · 7 下载

asia-llm-router-skills

by ClawHub · v1.0.0

Unified LLM Gateway - One API for 70+ AI models. Route to GPT, Claude, Gemini, Qwen, Deepseek, Grok and more with a single API key.

Tool 7 浏览 · 7 下载

baselight-mcp

by ClawHub · v1.0.0

Connects to the Baselight MCP (Model Context Protocol)

Tool 8 浏览 · 7 下载

speakturbo-tts

by ClawHub · v1.0.0

Give your agent the ability to speak to you real-time. Talk to your Claude! Ultra-fast TTS, text-to-speech, voice synthesis, audio output with ~90ms latency. 8 built-in voices for instant voice responses. For voice cloning, use the speak skill.

Tool 9 浏览 · 7 下载

modelready

by ClawHub · v1.0.0

Start using a local or Hugging Face model instantly, directly from chat.

Tool 8 浏览 · 7 下载

git-changelog-gen

by ClawHub · v1.0.0

Generate changelogs from git commits. Supports markdown, plain text, and JSON output with date ranges and tag-based filtering.

Tool 8 浏览 · 7 下载

remote-skill-engine

by ClawHub · v1.0.0

Cache and use skills from ClawHub and GitHub as if locally installed. Stores remote skills in local cache folder for offline use.

Tool 8 浏览 · 7 下载

searching-group-leader

by ClawHub · v1.0.0

You are the leader of searching group . Break down the task into independent and complementary sub-tasks. Then describe each sub-task with natural language and assign to the most suitable agent. Always use General_Search_Agent. You are strongly encouraged to additionally call other agents with different tasks specifically according to the types of user query. DO NOT call Academic_Search when th...