GeoMaster
K-Dense-AIComprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, and 7 programming languages (Python, R, Julia, JavaScript, C++, Java, Go) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
hugging-face-model-trainer
huggingfaceThis skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
language-learning
openclawAI language tutor for learning ANY language through conversation, vocab drills, grammar lessons, flashcards, and immersive practice. Use when the user wants to: learn a new language, practice vocabulary, study grammar, do flashcard drills, translate phrases, practice conversation, prepare for travel, learn slang/idioms, or improve pronunciation. Supports ALL languages including Spanish, French, German, Japanese, Chinese (Mandarin/Cantonese), Korean, Arabic, Hindi, Bengali/Bangla, Portuguese, Russian, Italian, Turkish, Vietnamese, Thai, Swahili, Hebrew, Polish, Dutch, Greek, and 100+ more.
speak-upgrade-migration
Analyze, plan, and execute Speak SDK upgrades with breaking change detection. Use when upgrading Speak SDK versions, detecting deprecations, or migrating to new API versions for language learning features. Trigger with phrases like "upgrade speak", "speak migration", "speak breaking changes", "update speak SDK", "analyze speak version".
speak-sdk-patterns
Apply production-ready Speak SDK patterns for TypeScript and Python. Use when implementing Speak integrations, refactoring SDK usage, or establishing team coding standards for language learning features. Trigger with phrases like "speak SDK patterns", "speak best practices", "speak code patterns", "idiomatic speak".
speak-incident-runbook
Execute Speak incident response procedures with triage, mitigation, and postmortem. Use when responding to Speak-related outages, investigating errors, or running post-incident reviews for language learning feature failures. Trigger with phrases like "speak incident", "speak outage", "speak down", "speak on-call", "speak emergency", "speak broken".
speak-migration-deep-dive
Execute Speak major re-architecture and migration strategies for language learning platforms. Use when migrating to or from Speak, performing major version upgrades, or re-platforming existing language learning integrations. Trigger with phrases like "migrate speak", "speak migration", "switch to speak", "speak replatform", "speak upgrade major".
speak-performance-tuning
jeremylongshoreOptimize Speak API performance with caching, audio preprocessing, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for language learning applications. Trigger with phrases like "speak performance", "optimize speak", "speak latency", "speak caching", "speak slow", "speak audio optimization".
speak-webhooks-events
Implement Speak webhook signature validation and event handling for language learning. Use when setting up webhook endpoints, implementing signature verification, or handling Speak event notifications for lessons and progress. Trigger with phrases like "speak webhook", "speak events", "speak webhook signature", "handle speak events", "speak notifications".
speak-common-errors
Diagnose and fix Speak common errors and exceptions. Use when encountering Speak errors, debugging failed sessions, or troubleshooting language learning integration issues. Trigger with phrases like "speak error", "fix speak", "speak not working", "debug speak", "speak lesson failed".
speak-deploy-integration
Deploy Speak language learning integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Speak-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy speak", "speak Vercel", "speak production deploy", "speak Cloud Run", "speak Fly.io".
speak-local-dev-loop
jeremylongshoreConfigure Speak local development with hot reload, testing, and mock tutors. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Speak language learning. Trigger with phrases like "speak dev setup", "speak local development", "speak dev environment", "develop with speak".
speak-reference-architecture
jeremylongshoreImplement Speak reference architecture with best-practice project layout for language learning apps. Use when designing new Speak integrations, reviewing project structure, or establishing architecture standards for language learning applications. Trigger with phrases like "speak architecture", "speak best practices", "speak project structure", "how to organize speak", "speak layout".
speak-hello-world
Create a minimal working Speak language learning example. Use when starting a new Speak integration, testing your setup, or learning basic Speak API patterns for language tutoring. Trigger with phrases like "speak hello world", "speak example", "speak quick start", "simple speak lesson".
speak-ci-integration
Configure Speak CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing, configuring CI pipelines, or integrating Speak language learning tests into your build process. Trigger with phrases like "speak CI", "speak GitHub Actions", "speak automated tests", "CI speak".
speak-core-workflow-a
Execute Speak primary workflow: AI Conversation Practice with real-time feedback. Use when implementing conversation practice features, building AI tutor interactions, or core language learning dialogue systems. Trigger with phrases like "speak conversation practice", "speak AI tutor", "speak dialogue", "primary speak workflow".
speak-observability
Set up comprehensive observability for Speak integrations with metrics, traces, and alerts. Use when implementing monitoring for Speak operations, setting up dashboards, or configuring alerting for language learning feature health. Trigger with phrases like "speak monitoring", "speak metrics", "speak observability", "monitor speak", "speak alerts", "speak tracing".
speak-cost-tuning
Optimize Speak costs through tier selection, usage monitoring, and efficient lesson design. Use when analyzing Speak billing, reducing API costs, or implementing usage monitoring and budget alerts for language learning apps. Trigger with phrases like "speak cost", "speak billing", "reduce speak costs", "speak pricing", "speak expensive", "speak budget".
speak-rate-limits
jeremylongshoreImplement Speak rate limiting, backoff, and idempotency patterns for language learning APIs. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Speak integrations. Trigger with phrases like "speak rate limit", "speak throttling", "speak 429", "speak retry", "speak backoff".
speak-install-auth
jeremylongshoreInstall and configure Speak Language Learning SDK/API authentication. Use when setting up a new Speak integration, configuring API keys, or initializing Speak services in your language learning application. Trigger with phrases like "install speak", "setup speak", "speak auth", "configure speak API key", "speak language learning setup".
speak-prod-checklist
jeremylongshoreExecute Speak production deployment checklist and rollback procedures. Use when deploying Speak integrations to production, preparing for launch, or implementing go-live procedures for language learning features. Trigger with phrases like "speak production", "deploy speak", "speak go-live", "speak launch checklist".
speak-data-handling
Implement Speak PII handling, audio data retention, and GDPR/CCPA compliance patterns. Use when handling user learning data, implementing audio retention policies, or ensuring privacy compliance for language learning applications. Trigger with phrases like "speak data", "speak PII", "speak GDPR", "speak data retention", "speak privacy", "speak audio privacy".
speak-enterprise-rbac
Configure Speak enterprise SSO, role-based access control, and organization management for language schools. Use when implementing SSO integration, configuring role-based permissions, or setting up organization-level controls for enterprise language learning. Trigger with phrases like "speak SSO", "speak RBAC", "speak enterprise", "speak roles", "speak permissions", "speak SAML".
claude-code-learning
popup-studio-aiClaude Code learning and education skill. Teaches users how to configure and optimize Claude Code settings. Works across any project and any language. Start learning/setup with "learn" or "setup". Use proactively when user is new to Claude Code, asks about configuration, or wants to improve their Claude Code setup. Triggers: learn claude code, claude code setup, CLAUDE.md, hooks, commands, skills, how to configure, 클로드 코드 배우기, 설정 방법, Claude Code 학습, クロードコード学習, 设置方法, how do I use claude code, aprender claude code, configuración, cómo configurar, apprendre claude code, configuration, comment configurer, Claude Code lernen, Konfiguration, wie konfigurieren, imparare claude code, configurazione, come configurare Do NOT use for: actual coding tasks, debugging, or feature implementation.
search
SpacehunterzNatural language search through Claude Code session history. Search for previous prompts, conversations, topics, file modifications, and context from past sessions. Useful for finding earlier work and understanding project continuity.
tinker
sundial-orgFine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
sap-hana-cloud-data-intelligence
secondskyDevelops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.
langchain_patterns
vuralserhat86Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
model_finetuning
vuralserhat86Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
prompt-engineer
404kidwizExpert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".
lrl-nlp-techniques
ilyasibrahimLow-resource NLP techniques specific to Somali language processing. Covers data scarcity strategies, cross-lingual transfer, morphological analysis, data augmentation for Somali, semi-supervised learning, and evaluation considerations for low-resource contexts. Auto-invokes when working on Somali NLP, low-resource language challenges, dialect classification, or language-specific modeling decisions.
secure-coding
melodic-softwareProvides guidance on secure coding practices including OWASP Top 10 2025, CWE Top 25, input validation, output encoding, and language-specific security patterns. Use when reviewing code for security vulnerabilities, implementing security controls, or learning secure development practices.
model-trainer
aisa-groupThis skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
model-trainer
aisa-groupThis skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
rlhf
itsmostafaUnderstanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like DPO.
Language Learning Kit
HmbownGenerate vocabulary flashcards and pronunciation guides with native audio and cultural context images.
docs-creating-by-example-tutorials
wahidyankfComprehensive guide for creating by-example tutorials - code-first learning path with 75-85 heavily annotated examples achieving 95% language coverage. Covers five-part example structure, annotation density standards (1.0-2.25 comments per code line PER EXAMPLE), self-containment rules, and multiple code blocks for comparisons. Essential for creating by-example tutorials for programming languages on educational platforms
prompt-recorder
tmdgusyaRecords user English prompts for vocabulary learning. When user's English is unclear, uses AskUserQuestion to clarify before proceeding.
polyglot-learning-strategies-expert
sandraschiLanguage learning expert with proven methods for acquiring multiple languages efficiently and effectively
spanish-language-tutor
sandraschiComprehensive Spanish language expert covering grammar, conversation, regional dialects, and language learning strategies
generating-tts
WarrenZhu050413Generate and play multilingual text-to-speech audio using mlx-audio with Kokoro model. Use when user asks to hear pronunciation, speak text aloud, or wants audio for language learning. Supports 9 languages (English, Spanish, French, Italian, Portuguese, Hindi, Japanese, Chinese) and 11 voices with speed control.
language-learning
jackjin1997AI language tutor for learning ANY language through conversation, vocab drills, grammar lessons, flashcards, and immersive practice. Use when the user wants to: learn a new language, practice vocabulary, study grammar, do flashcard drills, translate phrases, practice conversation, prepare for travel, learn slang/idioms, or improve pronunciation. Supports ALL languages including Spanish, French, German, Japanese, Chinese (Mandarin/Cantonese), Korean, Arabic, Hindi, Bengali/Bangla, Portuguese, Russian, Italian, Turkish, Vietnamese, Thai, Swahili, Hebrew, Polish, Dutch, Greek, and 100+ more.
R Data Science
akm-rsR-first data science and statistical analysis with SQL as a secondary language. Use when the user asks to analyze data in R, write R scripts, create tidyverse pipelines, build statistical models, work with time series (fable/tsibble), run machine learning workflows (tidymodels), query databases from R (DuckDB, dbplyr), build reproducible pipelines (targets), or parallelize computations (crew/mirai). Triggers on requests involving R, tidyverse, dplyr, ggplot2, targets, tidymodels, DuckDB, time series forecasting, or statistical modeling.
Speak Core Workflow A
nivkazdanExecute Speak primary workflow: AI Conversation Practice with real-time feedback. Use when implementing conversation practice features, building AI tutor interactions, or core language learning dialogue systems. Trigger with phrases like "speak conversation practice", "speak AI tutor", "speak dialogue", "primary speak workflow".
speak-webhooks-events
nivkazdanImplement Speak webhook signature validation and event handling for language learning. Use when setting up webhook endpoints, implementing signature verification, or handling Speak event notifications for lessons and progress. Trigger with phrases like "speak webhook", "speak events", "speak webhook signature", "handle speak events", "speak notifications".
speak-local-dev-loop
nivkazdanConfigure Speak local development with hot reload, testing, and mock tutors. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Speak language learning. Trigger with phrases like speak dev setup, speak local development, speak dev environment, develop with speak.
speak-reference-architecture
nivkazdanImplement Speak reference architecture with best-practice project layout for language learning apps. Use when designing new Speak integrations, reviewing project structure, or establishing architecture standards for language learning applications. Trigger with phrases like "speak architecture", "speak best practices", "speak project structure", "how to organize speak", "speak layout".
Speak Performance Tuning
nivkazdanOptimize Speak API performance with caching, audio preprocessing, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for language learning applications. Trigger with phrases like "speak performance", "optimize speak", "speak latency", "speak caching", "speak slow", "speak audio optimization".