Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast…
Use when user asks to improve, refine, or rewrite a prompt for an AI system, or when framing a request that feels vague, overloaded, or logically unsound. Triggers: "improve my prompt", "rewrite this prompt", "make this prompt better", "help me ask this question properly", "this prompt feels off".
Run a TabPFN classification baseline, generate the first submission, rapidly probe features, then optimize with GBT ensembles, threshold tuning, and calibration. Use after tabpfn-explore has prepared the data and CV folds.
Manage ML/LLM experiment workflows with ztxexp. Use when the agent needs to build parameter configurations, run experiments, validate run artifacts, analyze results, or troubleshoot failed runs.
Turn legal documents, policies, contracts, compliance rules, and regulatory text into a queryable knowledge graph. Extracts clauses, obligations, prohibitions, permissions, cross-references, and detects conflicts. Answers questions like 'What does policy X say about Y?', 'Find all obligations for role Z', 'Are these…
AI-Based Mangrove Forest Monitoring & Conservation — Professional-grade harness for evidence-backed mangrove forest analysis with remote sensing, deforestation detection, health assessment, blue carbon estimation, and restoration planning. Use this skill when users mention mangrove forests, coastal ecosystems…
Drive the 启智 platform (qz.sii.edu.cn) from the command line — log in via CAS, browse projects/workspaces, enumerate legal compute-group/spec/image options, validate and submit training jobs, and list/inspect/stop jobs. Use whenever a task involves submitting or managing jobs on qz.sii.edu.cn, or reading its compute…
Author interactive reactive Python notebooks with marimo. Covers interactive cell execution, reactive UI, SQL, state management, deployment, and export. For interactive notebooks, NOT Cell.run() API.
Expert prompt engineering pour Seedance 2.5 (ByteDance / Dreamina / Jimeng / Doubao), modèle vidéo 30 s en une passe, audio natif, 50 références max. Utiliser dès que l'utilisateur veut écrire, optimiser ou déboguer un prompt Seedance (2.5 ou 2.0), générer une vidéo avec Seedance/Dreamina/Jimeng, faire du…
ColPali-style Vision RAG: embed rendered PDF pages, retrieve via ColBERT MaxSim, feed top-k pages to Qwen2-VL, no OCR. Use for PDF/document QA over figures and tables, multimodal retrieval, or Recall@k/MRR eval.
A guide for running Kaggle competitions, an online platform where people build models against shared datasets, and organizing research in a searchable NotebookLM knowledge base.
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Production-ready token optimization: reduce costs 40–75% through retrieval pruning, smart caching, and model routing. Use whenever optimizing API costs, latency, or managing long context—especially for RAG pipelines, high-volume systems, multi-turn conversations, or when context exceeds 2K tokens.
Automatically refines every user prompt into a structured, actionable version, then immediately executes the optimized prompt. When triggered explicitly with "/optimize {prompt}", "optimize:", or "optimize prompt:", outputs the refined prompt as text instead.
Use only when the user explicitly mentions "rapids-first" or "RAPIDS first", to prefer the RAPIDS GPU stack (cudf, cuml, cupy, cupyx) and its zero-code accelerators over pandas, scikit-learn, numpy and scipy when writing Python data-science, ML, ETL or numerical code.
Plan and build a production customer-support agent — a RAG product-Q&A bot that drafts replies, posts them for human review, and graduates to controlled autonomy. Use when someone wants to build an in-house support agent, a Slack-native or support-platform AI bot, a ticket-answering / customer-Q&A agent, or wants to…
Expert Midjourney prompt engineering skill. Use this skill when users need help crafting effective Midjourney prompts, converting natural language descriptions into optimized prompts, or want guidance on Midjourney parameters and techniques. Specializes in V7 best practices, the 7-Element Framework, and photography…
Complete one-shot Voyager SDK launcher for Axelera AI Metis pipelines and demos. Use when the user asks to build, create, launch, run, verify, package, open a browser result viewer, or show results for a complete AI vision pipeline from a natural-language request (including when they want to debug or evaluate a…
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originalMIT
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