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python

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media

4K

yt-assemblyai-monitor

YouTube channel monitor and video transcription using AssemblyAI cloud API. Pure Python + requests only — no ffmpeg, no Whisper, no extra tools needed. Monitors YouTube channels for new videos, extracts audio URLs via innertube API, submits to AssemblyAI for cloud transcription, and returns text + AI summary. Works on Mac, Linux, Windows. Only dependency: requests (usually pre-installed). Use when: user asks to monitor YouTube channels, transcribe YouTube videos, summarize video content, or set up YouTube content monitoring.

openclaw

content-media

media

4K

bililidownloader

Download Bilibili videos. You MUST ask the user for the Bilibili URL first. Then use the provided python script to download. Supports batch/playlist downloading.

openclaw

content-media

media

4K

aimlapi-voice

Transcribe audio files (ogg, mp3, wav, etc.) using AIMLAPI. Use when the user provides audio messages or local audio files. Provides a reliable Python script with retries and polling.

openclaw

content-media

data-analysis

4K

senior-data-scientist

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.

openclaw

data-ai

data-engineering

4K

senior-data-engineer

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.

openclaw

data-ai

llm-ai

4K

ollama

Ollama 本地大模型调用技能。支持通过 API 与 Ollama 实例交互进行文本生成。 Use when: (1) 需要调用本地或远程 Ollama 模型 (2) 需要执行 LLM 推理任务 (3) 需要通过 Python 脚本与特定 Ollama 实例 (如 qwen3.5:9b) 交互。

openclaw

data-ai

llm-ai

4K

biomedical-paper

AI-powered biomedical manuscript generation with docx output. Activates when user provides Chinese draft/outline and requests full English research paper. Includes: Abstract, Introduction, Methods, Results, Discussion, References. Specialized for: GBD epidemiology, cohort studies (CHARLS/NHANES), cross-sectional mediation analyses, pharmacovigilance (FAERS). Also supports: Chinese graduate/doctoral thesis (学位论文) formatting. Features: python-docx generation, Vancouver numbered references, journal-specific formatting. Confidence: High (validated workflow with 30+ successful papers)

openclaw

data-ai

llm-ai

4K

mlx-local-inference

Use when calling local AI on this Mac — text generation, embeddings, speech-to-text, OCR, or image understanding. LLM/VLM via oMLX gateway at localhost:8000/v1. Embedding/ASR/OCR via Python libraries (mlx-lm, mlx-vlm, mlx-audio). Works offline. Use instead of cloud APIs for privacy or low latency.

openclaw

data-ai

llm-ai

4K

klausnomi

Engage in conversations with Nomi AI companions via the bundled Python CLI.

openclaw

data-ai

llm-ai

4K

system-prompts-and-models-of-ai-tools

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, L system prompts and models of ai tools, python, ai, bolt, cluely, copilot, cursor. Use when you need system prompts and models of ai tools capabilities. Triggers on: system prompts and models of ai tools.

openclaw

data-ai

llm-ai

4K

ragaai-catalyst

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like a ragaai catalyst, python, agentic-ai.

openclaw

data-ai

llm-ai

4K

anthropic

Anthropic Claude API integration — chat completions, streaming, vision, tool use, and batch processing via the Anthropic Messages API. Generate text with Claude Opus, Sonnet, and Haiku models, process images, use tool calling, and manage conversations. Built for AI agents — Python stdlib only, zero dependencies. Use for AI text generation, multimodal analysis, tool-augmented AI, batch processing, and Claude model interaction.

openclaw

data-ai

llm-ai

4K

openai

OpenAI API integration — chat completions, embeddings, image generation, audio transcription, file management, fine-tuning, and assistants via the OpenAI REST API. Generate text, create images with DALL-E, transcribe audio with Whisper, manage fine-tuning jobs, and build AI assistants. Built for AI agents — Python stdlib only, zero dependencies. Use for AI text generation, image creation, speech-to-text, embeddings, fine-tuning, and AI assistant building.

openclaw

data-ai

llm-ai

4K

openclaw-architect

Design, configure, debug, and optimize OpenClaw AI agent deployments. Master guide for gateway configuration, openclaw.json settings, model routing and fallback chains, skills development and publishing, cron job scheduling, memory systems (Qdrant, Neo4j, SQLite), Docker infrastructure, and Tailscale VPN networking. Includes config analyzer that audits your openclaw.json and suggests improvements, plus health checker that validates all OpenClaw subsystems. Built for AI agents — Python stdlib only, no dependencies. Use for OpenClaw setup, gateway debugging, skill building, cron management, model optimization, cost reduction, and infrastructure troubleshooting.

openclaw

data-ai

llm-ai

4K

pinecone

Pinecone vector database — manage indexes, upsert vectors, query similarity search, manage namespaces, and track collections via the Pinecone API. Build semantic search, recommendation systems, and RAG pipelines with high-performance vector storage. Built for AI agents — Python stdlib only, zero dependencies. Use for vector search, semantic similarity, RAG applications, recommendation engines, and AI memory systems.

openclaw

data-ai

llm-ai

4K

ghostprint

LLM fingerprint noise injector. Sends behaviorally realistic randomized queries to Anthropic, Z.ai, and any OpenAI-compatible provider on a schedule to depersonalize your usage profile and prevent behavioral fingerprinting. Available as a native OpenClaw plugin (no extra config — reuses your existing provider keys) and a standalone Python script.

openclaw

data-ai

llm-ai

4K

whatsapp-business-suite-ai-leads-channels-campaigns-32-mcp-tools

Automate WhatsApp at scale — mine leads from groups with AI, broadcast to channel followers, bulk message with ban-safe delays, schedule campaigns, auto-reply in your voice, collect reviews, and track delivery. 90+ REST endpoints, 32 MCP tools for Claude & GPT, Python SDK. No Meta Business API required. Free tier available.

openclaw

data-ai

llm-ai

4K

bocha-search-python

博查搜索 (Bocha Search) 的 Python 实现技能，提供增强的网页搜索能力。当用户需要通过博查 AI 搜索 API 进行网页搜索、获取联网信息、查找最新资讯或中文内容时使用此技能。与现有的 JavaScript 版本相比，本技能提供更稳定的连接、更灵活的输出格式（原始 JSON/Brave 兼容格式/Markdown）、更好的错误处理和重试机制。适用于 AI Agent 需要联网搜索、RAG 应用获取网页摘要、中文内容检索等场景。

openclaw

data-ai

architecture-patterns

4K

system-architect

Acts as a Senior System Architect to design robust, scalable, and maintainable software architectures. Enforces industry standards (PEP 8 for Python, ESLint for JS/TS), modular design, and security best practices. Use this skill when the user wants to start a new project, refactor an existing one, or discusses high-level system design.

openclaw

development

backend

4K

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

openclaw

development

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