llama-aiLlama AI integration. Manage Organizations. Use when the user wants to interact with Llama AI data.
Install via ClawdBot CLI:
clawdbot install gora050/llama-aiGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://llama.meta.com/docs/Audited Apr 17, 2026 · audit v1.0
Generated May 19, 2026
Use Llama AI's chat capabilities to build intelligent chatbots that handle customer inquiries, troubleshoot issues, and provide instant responses. This reduces support team workload and improves response times.
Leverage Llama AI's natural language generation to produce blog posts, social media content, and ad copy. Marketers can quickly generate drafts and refine them, speeding up content production.
Analyze large volumes of text data (e.g., customer feedback, surveys) using Llama AI's understanding capabilities to extract sentiment, trends, and key insights. Helps data-driven decision making.
Integrate Llama AI's image generation to create custom visuals for presentations, social media, or product mockups. Enables rapid prototyping of visual ideas without a design team.
Deploy a Llama AI-powered assistant to answer employee questions about company policies, documentation, or project statuses. Improves internal knowledge sharing and reduces repetitive queries.
Offer Llama AI integration as a service with pay-per-request or subscription tiers based on the number of API calls. Customers pay for the compute they consume, making it accessible for both small and large users.
Build a customizable chatbot platform using Llama AI that businesses can brand as their own. Charge a setup fee and monthly subscription for hosting and maintenance.
Provide a content creation service powered by Llama AI, where clients submit briefs and receive polished articles, social posts, or ad copy. Revenue comes per piece or via retainer contracts.
💬 Integration Tip
Use the pre-built actions and proxy requests in Membrane to avoid handling authentication manually. Always discover existing actions before making custom API calls to save time and tokens.
Scored May 19, 2026
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.
使用豆包(火山引擎)语音合成大模型 API 将文本转换为语音音频文件。支持声音复刻音色(S_ 开头的音色ID)和官方预置音色。当用户要求"语音合成"、"文字转语音"、"TTS"、"朗读文本"、"生成语音"、"用我的声音读"、"豆包语音"、"声音复刻合成"等相关请求时,务必使用此 skill。即使用户只是说"帮我把...
Intelligent model routing for sub-agent task delegation. Choose the optimal model based on task complexity, cost, and capability requirements. Reduces costs...
自动生成科技新闻摘要。从多个来源(RSS、Twitter、GitHub、Web Search)抓取科技新闻,整合后生成摘要。
让 AI 代理根据对话内容自动选择最合适的模型。四层识别(系统过滤→关键词→指示词→语义相似度),四池架构(高速/智能/人文/代理),五分支路由,全自动 Fallback 回路。支持 trigger_groups_all 非连续词组命中。