mem-search
Search rad-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Search rad-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Generate ROS 2 custom message (.msg) and service (.srv) interface definitions for educational content. This skill should be used when creating lessons that teach interface design, writing exercises involving custom data types, or generating worked examples for robotics communication protocols.
Get current Claude Code session UUID and registry info. TRIGGERS - current session, session uuid, session id, what session, which session.
Routes to appropriate PyTorch specialist skill based on symptoms and problem type
Official Anthropic SDK for Claude AI with chat, streaming, function calling, and vision capabilities
AI session compression techniques for managing multi-turn conversations efficiently through summarization, embedding-based retrieval, and intelligent context management.
Build comprehensive randomization lists for creative entropy. Use when you need to create or expand lists of story elements (professions, locations, objects, names, etc.) for use with entropy tools. Leverages research sources like Kiwix/Wikipedia to build lists with good variety and size.
Configure Ralph loop guidance via AUQ flows - forbidden/encouraged items from constraint scan. TRIGGERS - session guidance, loop configuration, /ralph:start Step 1.6.
Integrate OpenAI ChatKit framework with custom backend and AI agents. Handles ChatKit server implementation, React component integration, context injection, and conversation persistence.
Build new agent skills. Use when creating diagnostic frameworks, CLI tools, or data-driven generators that follow the established skill patterns.
Use when conducting web research with Perplexity API - covers authentication, search strategies, structured output generation, and integration patterns for Claude-interpretable results
Generate ROS 2 service server and client code examples for educational content. This skill should be used when creating lessons that teach request/response communication, writing exercises involving services, or generating worked examples for synchronous robot commands.
Use when building networks that grow, prune, or adapt topology during training. Routes to continual learning, gradient isolation, modular composition, and lifecycle orchestration skills.
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods, and comprehensive outlier detection strategies
Expert guidance for mathematical optimization in Python - systematic problem classification, library selection (scipy, pyomo, cvxpy, GEKKO), solver configuration, and implementation patterns for LP, QP, NLP, MIP, convex, and global optimization problems
Multi-signal framework detection with confidence scoring for 6 major frameworks
The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints
Adaptive epoch selection for Walk-Forward Optimization using efficient frontier analysis. Per-fold epoch sweeps with WFE-based selection and carry-forward priors. TRIGGERS - epoch selection, WFO epoch, walk-forward epoch, training epochs WFO, efficient frontier epochs, overfitting epochs, epoch sweep, BiLSTM epochs, WFE optimization, adaptive hyperparameter, Pardo WFE, epoch carry-forward.
Expert guidance for multiobjective optimization in Python - Pareto optimality, evolutionary algorithms (NSGA-II, NSGA-III, MOEA/D), scalarization methods, Pareto front analysis, and implementation with pymoo, platypus, and DEAP
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Transform validated pain points into articulated user value statements for PRD v0.1 Spark. Triggers on completing problem framing, defining user outcomes, articulating value propositions, or requests like "what value do users get", "define outcomes", "articulate the benefit", "finish v0.1", "pain to value", "what do they gain". Outputs CFD- entries tagged as value hypotheses with evidence tiers. Follows Problem Framing skill in workflow.
Run expert review on a plan with parallel reviewer agents. Presents findings as Socratic questions. Use when asked to "review the plan", "get feedback on the design", "check this approach", or before implementation to validate architectural decisions. Optional argument: reviewer name (e.g., `/arc:review daniel-product-engineer` to use a specific reviewer)
Create Mermaid diagrams and convert them to images. Use when needing to visualize flows, architecture, or data structures.
Create and execute PRPs (Product Requirements Prompts) for feature implementation using Context Engineering principles. Use when planning new features, initializing PRP setup, executing existing PRPs, or when the user mentions "PRP", "feature planning", "implementation blueprint", or "context engineering". Helps achieve one-pass implementation success.