reflexion
Record feedback on pattern effectiveness. Stores episodes that train the recommendation system and enable pattern discovery via learner.
Discover tools machine learning skills, compare source repositories and read the instructions for each workflow.
Record feedback on pattern effectiveness. Stores episodes that train the recommendation system and enable pattern discovery via learner.
Extracts vector embeddings for fairness analysis using MobileNetV3 with FairDisCo disentanglement
Applies decision thresholds for high-confidence inputs or enforces conservative safety margins for low-confidence cases
Classifies skin conditions including Melanoma and Basal Cell Carcinoma using TF.js MobileNetV3
Expert in streamlining and enhancing the development of AI Agent Applications, including AI app / agent / workflow code generation, AI model comparison and recommendation, tracing setup, and evaluation planning...
Integrating AI and LLM capabilities into applications for enhanced functionalities. Use when implementing AI features, processing data with ML models, building generative workflows, or integrating AI APIs.
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt engineering, model evaluation, cost opti...
Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost,...
Create or update the feature specification from a natural language feature description.
Cloudflare Workers AI の完全ガイド。利用可能モデル(LLM、画像、音声、埋め込み)、Vectorize、AI Gateway の使い方と設定を提供。Use when user asks about Workers AI, AI models, Vectorize, AI Gateway, LLM, image gen...
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-perfo...
Statistical analysis and data exploration workflows for effective data-driven insights. Use when analyzing datasets, performing exploratory data analysis (EDA), statistical hypothesis testing, data visualizatio...
Continuous learning and improvement system for paracle_meta. Use when you need to record feedback, track quality metrics, or improve generation templates over time.
Create new frontier projects that solve unsolved problems in ML/AI tooling. Use when you want to add a genuinely novel project to a playbook or monorepo—not "best practices" collections but real tools for probl...
Track and evaluate AI predictions over time to assess accuracy. Use when reviewing past predictions to determine if they came true, failed, or remain uncertain.
Expert guidance for building LLM applications with LangChain framework - chains, prompts, memory, retrievers, and integrations.
Onboard AI creativity benchmarks into HELM-compliant Scenario implementations. Use when asked to onboard a benchmark, create a HELM scenario, process a paper into evaluation code, convert a dataset to HELM form...
Reinforcement learning training for CTF-AI. Use when training DQN agents, adjusting hyperparameters, debugging training issues, analyzing rewards, or improving AI performance.
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
Track, evaluate, and analyze multi-agent AI workflows using Azure AI Foundry cloud evaluations. Use when logging agent trajectories, computing evaluation metrics, measuring plan adherence, or generating workflo...
AEGISモデルのARC-Challenge評価改善とGSM8K健全性チェックのためのPlanモード。タイムアウト率・抽出失敗率分析、頑健な回答抽出、データ汚染検査、複数seed評価を実行。
AEGISモデルのARC-Challenge改善、GSM8K健全性検証、GRPO報酬多目的化のための包括的Planモード。頑健な回答抽出、タイムアウト最適化、データ汚染チェック、複数seed評価、汎化性能向上を実装。
Create and execute advanced execution plans for complex AI model development incorporating 2024-2026 cutting-edge techniques (DeepSeek GRPO, manifold-constrained architectures, geometric scaling). Use when plan...
Execute GGUF quantization with imatrix protection, perform statistical benchmark evaluation with error bars, generate academic-style methodology documentation, and create comprehensive scorecards. Use when eval...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.