Design and build knowledge graphs. Use when modeling complex relationships, building semantic search, or creating knowledge bases. Covers schema design, entity relationships, and graph database selection.
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, fresh Claude) for second opinions when stuck on bugs or making architectural decisions. Use when: debugging attempts have failed, making significant architectural choices, security concerns, or need fresh perspective. Automatically suggests consultation after one failed attempt. Provides synthesis comparing multiple AI perspectives with web research, thinking mode, and repo-aware analysis.
Clear description of what this skill does and when Claude should use it. Be specific about triggers - include the functionality AND when to activate. Example: "Extract text from PDFs and fill forms. Use when working with PDF files, document processing, or form automation."
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
Plan multi-step workflows using capability graph and Codex-powered goal decomposition with HTN-style hierarchical task planning.
Builds Model Context Protocol (MCP) servers for Claude with tools, resources, and prompts. Use when users request "create MCP server", "build Claude tool", "MCP integration", or "custom Claude tools".
Production-ready skill for integrating TheSys C1 Generative UI API into React applications. This skill should be used when building AI-powered interfaces that stream interactive components (forms, charts, tables) instead of plain text responses. Covers complete integration patterns for Vite+React, Next.js, and Cloudflare Workers with OpenAI, Anthropic Claude, and Cloudflare Workers AI. Includes tool calling with Zod schemas, theming, thread management, and production deployment. Prevents 12+ common integration errors and provides working templates for chat interfaces, data visualization, and dynamic forms. Use this skill when implementing conversational UIs, AI assistants, search interfaces, or any application requiring real-time generative user interfaces with streaming LLM responses. Keywords: TheSys C1, TheSys Generative UI, @thesysai/genui-sdk, generative UI, AI UI, streaming UI components, interactive components, AI forms, AI charts, AI tables, conversational UI, AI assistants UI, React generative UI, V
Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Provides root cause classification, prompt fixes, tool improvements, and new test cases. Use for "debugging AI", "fixing prompts", "quality issues", or "output errors".
Develop IntelliJ IDEA plugins with two templates, standard plugins and AI-integrated plugins. Use when creating new IntelliJ IDEA plugins, setting up plugin projects, implementing actions, settings pages, or integrating with IntelliAI Engine. Supports both simple plugins without AI dependencies and advanced plugins with AI provider selection and prompt template management.
Add features by description. User says WHAT, AI figures out HOW. Use when: user wants to add functionality to existing app. Triggers: "add auth", "add payments", "add search", "добавь", "integrate", "connect".
Customize AI proficiency measurement for your specific repository through a guided interview. Use when: setting up measure-ai-proficiency for a new repo, adjusting thresholds for your team's size, hiding irrelevant recommendations, or mapping custom file names to standard patterns.
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-extras, nutpie, and JAX/NumPyro backends. Triggers on tasks involving: Bayesian inference, posterior sampling, hierarchical/multilevel models, GLMs, time series, Gaussian processes, BART, mixture models, prior/posterior predictive checks, MCMC diagnostics, LOO-CV, WAIC, model comparison, or causal inference with do/observe.
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
Build full-stack applications with Supabase (PostgreSQL, Auth, Storage, Real-time, Edge Functions). Use when implementing authentication, database design with RLS, file storage, real-time features, or serverless functions.
Define database models with clear naming, appropriate data types, proper constraints, and relationship definitions. Use this skill when creating or modifying ORM model files, database entity definitions, or data structure schemas. When defining table relationships, foreign keys, and cascade behaviors. When implementing model validation rules, timestamps, or indexes. When working with model files in frameworks like SQLAlchemy, Sequelize, ActiveRecord, SQLx, Prisma, or similar ORMs. When choosing appropriate data types for columns or establishing data integrity constraints (NOT NULL, UNIQUE, foreign keys).
Design REST and GraphQL APIs. Use when creating backend APIs, defining API contracts, or integrating third-party services. Covers endpoint design, authentication, versioning, documentation, and best practices.
Document architectural decisions in standardized ADR format. This skill should be used when making significant technical decisions, choosing between approaches, establishing patterns, or when other skills (create-plan, implement-plan, brainstorm) identify decisions that need documentation. Triggers on "document decision", "create ADR", "architectural decision", or automatically when invoked by other skills during planning and implementation.
Plaited behavioral programming patterns for event-driven coordination and symbolic reasoning. Use when implementing behavioral programs with behavioral()/useBehavioral, designing rule composition with bThread/bSync, orchestrating test runners or workflows, or building neuro-symbolic reasoning layers.
Default Web API patterns for bElement architecture, including modern HTML features, performance optimizations, and Shadow DOM compatible patterns.
