NLP

This skill should be used when educators, trainers, curriculum designers, or instructional designers need to create comprehensive lesson plans from a topic. The skill generates structured educational content with learning objectives aligned to Bloom's taxonomy, content outlines, interactive exercises, assessment quizzes, and instructor notes. It can read existing .docx and .pptx files for context and exports final lesson plans as .docx files. Triggers include requests to create lesson plans, generate curriculum, build training materials, or develop educational content.

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods

Generate a complete software specification document for the current project/repo, including architecture, data model, key processes, pseudocode, and Mermaid diagrams (context, container/deployment, module relations, sequence, ER, class, flowchart, state).

Supabase PostgreSQL schema management, 86+ migrations, RLS policies, and type generation.Handles table creation, schema changes, migrations, foreign key constraints, and migration workflows.Use when working with database schema, migrations, data modeling, or type definitions,or when user mentions database changes, table modifications, schema updates, migration failures,"relation does not exist" errors, foreign key issues, Supabase schema operations, users table, accounts table, or holdings table.

Documenting and categorizing project prompts and decisions for StickerNest. Use when the user asks to document a session, record what was built, update project history, add to the prompt archive, or when starting a new session and needing context. Covers prompt categorization, decision history, and architectural evolution.

Django, Flask, FastAPI integration patterns for Celery. Use when integrating Celery with Django, Flask, or FastAPI, setting up framework-specific configurations, handling application contexts, managing database transactions with tasks, configuring async workers, or when user mentions Django Celery, Flask Celery, FastAPI background tasks, framework integration, or web framework task queues.

Use this skill when analyzing stocks, performing technical analysis, or evaluating market conditions. Provides comprehensive stock analysis using TradingAgents framework including technical indicators, fundamental data, news sentiment, and social media analysis.

Maintain Conductor-compatible project context, tracks, specs, and plans.

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks.

Runway AI API for video generation via curl. Use this skill to generate videos from images, text, or other videos.

Use this skill to diagnose and repair broken tests with a methodical, surgical approach.AUTO-ACTIVATE when user mentions (FR/EN): - test cassé, broken test, failing test, test fail, test échoue - erreur test, test error, assertion failed, timeout test - réparer test, fix test, corriger test, debug test - npm test fail, jest error, test suite failedAGENTS: Specialized agents (backend-specialist, frontend-specialist, database-specialist) MUST invoke this skill when asked to fix tests. Use: Skill("test-doctor")CRITICAL: NO mass corrections. ONE test at a time with validation. ALWAYS diagnose before fixing. ALWAYS consult DONT_DO.md first.Context: 1211 test files, 5561/6101 passing (540 failing). Stack: Jest, React Testing Library, Prisma, Next.js 15, TypeScript 5.

Scaffold, structure, and deploy the Physical AI textbook in Docusaurus with book-aware content and RAG-ready exports. Use when creating or updating the Docusaurus site, adding chapters, configuring sidebar, or deploying to GitHub Pages/Vercel.

Multi-agent architectures with LangGraph. Use when building systems with multiple collaborating agents, implementing supervisor or swarm patterns, creating hierarchical agent workflows, or designing agent handoff mechanisms. Covers langgraph-supervisor, langgraph-swarm, agent-as-tool patterns, and context engineering for multi-agent systems.

Analyze emotional tone, sentiment polarity, and psychological impact of text. Execute Python script for detailed sentiment analysis. Use when analyzing mood, attitude, or emotional content.

Enterprise Go for systems and network programming Go 1.25.4, Fiber v3, gRPC, context patterns, goroutine orchestration, standard library mastery; activates for REST APIs, microservices, concurrent systems, backend infrastructure, and performance-critical code.

Guide for Vercel AI SDK v5 implementation patterns including generateText, streamText, useChat hook, tool calling, embeddings, and MCP integration. Use when implementing AI chat interfaces, streaming responses, tool/function calling, text embeddings, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, or tool calling tasks.

Computes semantic embeddings for text and measures distance between sentences. Use for semantic similarity analysis and comparing text.

Advanced persistent context management system for web development work that never loses context between Claude Desktop sessions. Automatically tracks, saves, and restores all work context, session history, decisions, and progress across multiple sessions and projects.

Build headless automation and agentic workflows with Google's Gemini CLI. Covers approval modes (default, auto_edit, yolo), file permission model, Edit vs WriteFile tool selection, smartEdit configuration, GEMINI.md context files, settings.json hierarchy, and MCP server integration. Use when building CI/CD pipelines with Gemini, debugging "0 occurrences found" edit failures, configuring --approval-mode for automation, creating long-running agents with --resume, or integrating external services via Model Context Protocol.