langgraph-code-review
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state managem...
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Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state managem...
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with Lang...
Reviews Combine framework code for memory leaks, operator misuse, and error handling. Use when reviewing code with import Combine, AnyPublisher, @Published, PassthroughSubject, or CurrentValueSubject.
Reviews SQLAlchemy code for session management, relationships, N+1 queries, and migration patterns. Use when reviewing SQLAlchemy 2.0 code, checking session lifecycle, relationship() usage, or Alembic migration...
Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing FastAPI apps, checking APIRouter setup, Depends() usage, or response models.
Vercel AI Elements for workflow UI components. Use when building chat interfaces, displaying tool execution, showing reasoning/thinking, or creating job queues. Triggers on ai-elements, Queue, Confirmation, Too...
Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatS...
Reviews PostgreSQL code for indexing strategies, JSONB operations, connection pooling, and transaction safety. Use when reviewing SQL queries, database schemas, JSONB usage, or connection management.
Reviews BubbleTea TUI code for proper Elm architecture, model/update/view patterns, and Lipgloss styling. Use when reviewing terminal UI code using charmbracelet/bubbletea.
Generate a Keep a Changelog entry from git commits
Merge PR, tag release, and create GitHub release with changelog notes
Commit changes, bump version, update changelog, and open a PR
Execute Google Tag Manager API operations - create, update, delete, and manage tags, triggers, variables, and containers. Use when working with GTM programmatically, generating API calls, validating GTM configu...
Calendar canvas for displaying events and picking meeting times. Use when showing calendar views or when users need to select available time slots.
**The primary skill for terminal TUI components.** Covers spawning, controlling, and interacting with terminal canvases. Use when displaying calendars, documents, or flight bookings.
Document canvas for displaying and editing markdown content. Use when showing documents, emails, or when users need to select text for editing.
Flight canvas for comparing flights and selecting seats. Use when users need to browse flight options and book seats.
Use when adding a new framework/stack to create-faster CLI tool - addresses copy-first mentality, incomplete implementations, and missing dependencies
Use when fixing template issues in create-faster - indentation, spacing, typos, or formatting problems in .hbs files
Use when documenting stacks, databases, or ORMs in create-faster MDX docs - focuses on technical changes and what we add beyond official setup
Manage Trello boards, lists, and cards. Use this skill when the user wants to view, create, or update their Trello tasks, boards, or project status.
This skill should be used when writing or improving system prompts for AI agents, providing expert guidance based on Anthropic's context engineering principles.
This skill should be used when reading any tabular data file (Excel, CSV, Parquet, ODS). It automatically detects and fixes common data issues including multi-level headers, encoding problems, empty rows/column...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.