Control a Reachy Mini robot (by Pollen Robotics / Hugging Face) via its REST API and SSH. Use for any request involving the Reachy Mini robot — moving the head, body, or antennas; playing emotions or dances; capturing camera snapshots; adjusting volume; managing apps; checking robot status; or any physical robot interaction. The robot has a 6-DoF head, 360° body rotation, two animated antennas, a wide-angle camera (with non-disruptive WebRTC snapshot), 4-mic array, and speaker.
Generate satirical "math slop" ragebait formulas that connect famous constants (φ, π, e, i) in trivially true but profound-looking equations. Outputs LaTeX. Use for math memes or when someone asks for "math slop."
Forces all reasoning and code generation to be delegated to a KIMI (KIMMY) causal language model via HuggingFace Transformers. Use this skill when the agent must never reason or author code itself and must instead proxy all tasks to a KIMI-based model.
Real-time AI API usage tracking and cost monitoring for OpenClaw. Track spending across OpenAI, Claude, Gemini, Kimi, DeepSeek, and Grok with live dashboard....
Provides a decision-grade equity valuation playbook and report standard (multiples, DCF, quality assessment, scenarios, margin of safety); used when users re...
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Multi-model peer review layer using local LLMs via Ollama to catch errors in cloud model output.
Fan-out critiques to 2-3 local models, aggregate flags, synthesize consensus.
Use when: validating trade analyses, reviewing agent output quality, testing local model accuracy,
checking any high-stakes Claude output before publishing or acting on it.
Don't use when: simple fact-checking (just search the web), tasks that don't benefit from
multi-model consensus, time-critical decisions where 60s latency is unacceptable,
reviewing trivial or low-stakes content.
Negative examples:
- "Check if this date is correct" → No. Just web search it.
- "Review my grocery list" → No. Not worth multi-model inference.
- "I need this answer in 5 seconds" → No. Peer review adds 30-60s latency.
Edge cases:
- Short text (<50 words) → Models may not find meaningful issues. Consider skipping.
- Highly technical domain → Local models may lack domain knowledge. Weight flags lower.
- Creative writing → Factual review doesn't apply well. Use only for logical consistency.
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.
Deep reasoning. Accurate data. Beautiful design. The three things every great document needs — and most AI gets wrong. #1 on DeepResearch Bench (Feb 2026), powered by SOTA search models, and state-of-the-art PDF generation. Create resumes, contracts, reports, proposals, invoices, certificates, and any professional document.
Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...
Complete Open WebUI API integration for managing LLM models, chat completions, Ollama proxy operations, file uploads, knowledge bases (RAG), image generation, audio processing, and pipelines. Use this skill when interacting with Open WebUI instances via REST API - listing models, chatting with LLMs, uploading files for RAG, managing knowledge collections, or executing Ollama commands through the Open WebUI proxy. Requires OPENWEBUI_URL and OPENWEBUI_TOKEN environment variables or explicit parameters.
Leverage external AI models (ChatGPT, Claude, Hugging Face, etc.) as tools via browser automation (Chrome Relay) and optional Hugging Face API. Use when you...
Local-first, event-driven RAG for commercial real estate audit & investigation case folders. Index a case directory named like "项目问题编号__标题" (with stage subfolders such as 01_policy_basis/02_process/04_settlement_payment) and query it with citations (file:// links + PDF
Configure AIsa as a first-class model provider for OpenClaw, enabling production access to major Chinese AI models (Qwen, DeepSeek, Kimi K2.5, Doubao) throug...
Scan untrusted external text (web pages, tweets, search results, API responses) for prompt injection attacks. Returns severity levels and alerts on dangerous content. Use BEFORE processing any text from untrusted sources.
Enable Azure OpenAI integration with OpenClaw via a lightweight local proxy. Use when configuring Azure OpenAI as a model provider, when encountering 404 errors with Azure OpenAI in OpenClaw, or when needing to use Azure credits (e.g. Visual Studio subscription) with OpenClaw subagents. Solves the api-version query parameter issue that prevents direct Azure OpenAI integration.