Stats
Actions
Tags
From badi
Provides structured procedures for building chatbots, RAG systems, automation workflows, AI assistants, and LLM fine-tuning. Useful for automating repetitive tasks and integrating LLMs into pipelines.
How this skill is triggered — by the user, by Claude, or both
Slash command
/badi:ai-automationThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
> 59 structured procedures
59 structured procedures
The skill of designing and building NLP-based chatbots fitting user needs. Builds end-to-end chatbot architecture including conversation flows, intent recognition, and context management.
The skill of designing, testing, and optimizing effective prompts for the best LLM results. Covers system prompts, few-shot examples, and chain-of-thought techniques.
The skill of designing and building Retrieval-Augmented Generation (RAG) systems. Delivers a complete RAG pipeline including document indexing, vector-database integration, and query optimization.
The skill of fine-tuning large language models for specific use cases. Covers data preparation, training-process management, and model evaluation.
The skill of designing and building workflows that automate repetitive processes. Builds efficient automation systems with triggers, conditions, and action chains.
The skill of building customized AI assistants. Builds end-to-end assistant applications with UI, backend services, and AI-model integration.
The skill of designing and managing the data-labeling process for ML models. Covers labeling guidelines, quality control, and inter-annotator agreement measurement.
The skill of systematically evaluating AI model performance. Runs comprehensive model analysis with accuracy, precision, recall, and domain-specific metrics.
The skill of building ethical principles and an accountability framework for AI applications. Covers bias detection, transparency, and accountability mechanisms.
The skill of designing and building speech-to-text systems. Builds ASR models, audio preprocessing, and real-time transcription pipelines.
The skill of building and deploying image-classification models. Builds high-accuracy classifiers with transfer learning, data augmentation, and model optimization.
The skill of automatically detecting sentiment and emotion in text data. Runs fine-grained sentiment analysis beyond positive, negative, and neutral classification.
The skill of designing systems that give users personalized recommendations. Covers collaborative filtering, content-based filtering, and hybrid approaches.
The skill of extracting information from unstructured documents and processing it automatically. Covers OCR, table extraction, and document classification.
The skill of integrating commercial and open-source AI APIs into existing systems. Uses OpenAI, Anthropic, Google AI, and other providers' APIs securely and efficiently.
The skill of summarizing long texts automatically. Builds document, meeting, and content summaries with extractive and generative techniques.
The skill of designing and managing AI-assisted content pipelines. Produces blogs, social media, marketing materials, and other content types at scale.
The skill of building and managing automatic translation pipelines. Covers machine translation, translation-memory integration, and quality assurance.
The skill of automatically detecting abnormal patterns and deviations in data streams. Builds detection systems with statistical and ML-based methods.
The skill of building statistical and ML models to predict future events and values. Covers regression, classification, and time-series forecasting.
The skill of designing automated test processes for AI models and systems. Delivers AI quality assurance with unit, integration, and regression tests.
The skill of designing and building text-to-speech (TTS) systems. Covers natural voice generation, voice cloning, and emotional speech synthesis.
The skill of building face detection and recognition systems. Covers face detection, feature extraction, and identity-verification pipelines.
The skill of automatically categorizing text documents. Builds models for tasks like topic classification, spam detection, and content moderation.
The skill of extracting structured information from unstructured text. Covers named-entity recognition (NER), relation extraction, and event extraction.
The skill of designing end-to-end AI data and model pipelines. Orchestrates data collection, processing, training, evaluation, and deployment.
The skill of designing effective embedding strategies for text, images, and other data types. Covers model selection, dimension optimization, and similarity-search configuration.
The vector-database selection, configuration, and management skill. Covers setup and optimization of Pinecone, Weaviate, Qdrant, and other vector DB solutions.
The skill of running and managing multiple AI agents in coordination. Covers task distribution, inter-agent communication, and result merging.
The skill of designing LLMs' external function- and tool-calling capabilities. Delivers safe tool use with function definitions, parameter validation, and error handling.
The skill of securing AI systems. Covers strategies preventing prompt injection, data poisoning, model theft, and other AI-specific threats.
The skill of continuously monitoring production AI models. Builds drift detection, performance metrics, and automatic alerting.
The skill of analyzing and optimizing AI operation costs. Balances cost and performance across API usage, compute resources, and model selection.
The skill of building reusable, parameterized prompt templates. Delivers scalable prompt management with variable interpolation, conditional logic, and template versioning.
The skill of prototyping AI ideas fast. Turns AI concepts into testable prototypes with an MVP approach.
The skill of processing multiple data types (text, image, audio, video) together. Builds multimodal model integrations and multi-modality pipelines.
The skill of generating reports automatically from data sources. Builds the AI pipeline for data analysis, visualization, and natural-language reporting.
The AI-assisted data cleaning and quality improvement skill. Automates missing-value detection, duplicate merging, and format standardization.
The skill of designing interactive dashboards visualizing AI model and system metrics. Covers real-time monitoring, performance charts, and alert panels.
The skill of predicting future values by analyzing temporal patterns. Covers ARIMA, Prophet, LSTM, and transformer-based time-series models.
The AI customer-segmentation skill. Automatically determines customer groups with clustering algorithms and behavioral analysis.
The skill of building an AI content-moderation system. Builds inappropriate-content detection, classification, and automatic-action mechanisms.
The skill of building an AI-assisted automatic code-review system. Automates checks for code quality, vulnerabilities, and best-practice compliance.
The skill of generating test code with AI. Builds AI-assisted test scenarios for unit tests, integration tests, and edge cases.
The AI-assisted automatic documentation skill. Produces code documentation, API references, and user guides with AI.
The AI-assisted presentation skill. Builds professional decks with content generation, slide design, and speaker notes.
The skill of extracting automatic summaries and action items from meeting recordings. Automates transcription, summarization, and task assignment.
The AI-assisted email drafting skill. Writes professional emails fitting the context, recipient, and goal, with tone adjustment.
The AI social content production and management skill. Builds platform-specific content, hashtag suggestions, and publishing calendars.
The AI-assisted SEO content-optimization skill. Automates keyword analysis, content optimization, and technical-SEO suggestions with AI.
The AI dynamic-pricing and price-optimization skill. Finds optimal price points with demand forecasting, competitor analysis, and price-elasticity modeling.
The skill of forecasting inventory levels and optimizing stock with AI. Cuts inventory costs with demand forecasting and supply-process optimization.
The AI risk-analysis and assessment skill. Delivers comprehensive risk management with probability modeling, impact analysis, and mitigation strategies.
The AI-assisted legal-document analysis and review skill. Speeds up contract analysis, compliance checks, and legal-risk detection.
The AI competitor-analysis and intelligence-gathering skill. Delivers automated data collection, trend analysis, and strategic insight generation.
The skill of analyzing customer feedback with AI. Understands the voice of the customer with sentiment analysis, topic modeling, and content analysis.
The skill of analyzing market and industry trends with AI. Identifies future trends with data mining, signal detection, and predictive analysis.
The skill of building AI workflows with a visual drag-and-drop interface. Enables designing AI pipelines and automation flows without writing code.
The skill of enriching existing data with AI. Automates filling missing fields, adding extra information, and raising data quality.
Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub fatihkan/badi --plugin badi