summarize-robotics-text
Summarize robotics-related text, research papers, or lecture notes into concise, clear, and structured summaries. Use when user asks to condense or simplify robotics content.
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Summarize robotics-related text, research papers, or lecture notes into concise, clear, and structured summaries. Use when user asks to condense or simplify robotics content.
Generate clear, measurable, and curriculum-aligned learning objectives for any topic. Use when user asks to define goals, outcomes, or objectives for a lesson or course.
Create new Agent Skills with proper structure, templates, and best practices. Use when building custom skills for Claude Code, GitHub Copilot, or other Agent Skills-compatible tools.
Generate project documentation including CONTENTS.md navigation files and AGENTS.md instructions. Use when creating documentation structure, project indexes, or AI agent configuration files.
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.
Comprehensive text analysis coordinator. Execute Python script for multi-aspect text analysis. Use when you need grammar, sentiment, readability, and SEO analysis combined.
This skill should be used when commands need to generate specifications or implementation plans, when the user asks about "how to write specs", "how to create plans", "spec structure", "plan hierarchy", or when...
This skill should be used when the user asks about "conductor methodology", "context-driven development", "conductor directory structure", "conductor files", "tracks.md", "plan.md", "spec.md", or when commands...
Implement ML pipelines, model serving, and feature engineering. Handles TensorFlow/PyTorch deployment, A/B testing, and monitoring. Use PROACTIVELY for ML model integration or production deployment.
Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experime...
Specialized skill for organizing, searching, and maintaining the extensive notes system (17,000+ markdown files). Use when creating, organizing, searching, or maintaining documentation across business, personal...
Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns and techniques.
Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations. Use when working with LLM features, chatbots, AI-powered applications, or agent...
Specialized knowledge for working with Kleva business operations, including product development, sales sequences, LinkedIn campaigns, financial models, and business documentation. Use when working on any Kleva-...
Handle support tickets, FAQ responses, and customer emails. Creates help docs, troubleshooting guides, and canned responses. Use PROACTIVELY for customer inquiries or support documentation.
Manages context across multiple agents and long-running tasks. Use when coordinating complex multi-agent workflows or when context needs to be preserved across sessions. Essential for projects exceeding 10k tok...
Design systematic decision frameworks for selecting appropriate AI tools (Claude Code vs Gemini CLI) based on context requirements, codebase size, reasoning depth needs, and task complexity. Use this skill when...
This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction...
Design learning experiences for AI-native software development, integrating the Three Roles Framework (AI as Teacher/Student/Co-Worker), co-learning partnership pedagogy, and "Specs Are the New Syntax" paradi...
Design reusable prompt templates that encode domain-specific patterns for recurring AI development tasks. Use this skill when you've executed similar prompts 2+ times and need to capture the pattern as reusable...
This skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM. It addresses the convergence toward generic, text-heavy slides by providing structured prom...
Autonomously explore unfamiliar codebases using Miller's code intelligence. Use semantic search, symbol navigation, and call path tracing to understand architecture without reading entire files. Activates when...
Use Miller's semantic search capabilities for conceptual code understanding. Activates when searching for concepts, cross-language patterns, business logic, or exploring unfamiliar code. Combines text and seman...
Build persistent project knowledge using checkpoint/recall. Activates when fixing bugs, making decisions, or investigating past work. Creates automatic knowledge base through systematic checkpointing and semant...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.