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Topic: golang

205 skills in this topic.

react-flow React Flow (@xyflow/react) for workflow visualization with custom nodes and edges. Use when building graph visualizations, creating custom workflow nodes, implementing edge labels, or controlling viewport. Triggers on ReactFlow, @xyflow/react, Handle, NodeProps, EdgeProps, useReactFlow, fitView.
existential-birds/beagle 44
swift-testing-code-review Reviews Swift Testing code for proper use of
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pytest-code-review Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.
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rust-code-review Reviews Rust code for ownership, borrowing, lifetime, error handling, trait design, unsafe usage, and common mistakes. Use when reviewing .rs files, checking borrow checker issues, error handling patterns, or trait implementations. Covers Rust 2021 edition patterns and modern idioms.
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swift-code-review Reviews Swift code for concurrency safety, error handling, memory management, and common mistakes. Use when reviewing .swift files for async/await patterns, actor isolation, Sendable conformance, or general Swift best practices.
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review-verification-protocol Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
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deepagents-implementation Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
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langgraph-architecture Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
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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 management, graph structure, and async patterns.
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pydantic-ai-testing Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.
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pydantic-ai-tool-system Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.
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humanize Rewrite AI-generated developer text to sound human — fix inflated language, filler, tautological docs, and robotic tone. Use after review-ai-writing identifies issues.
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brainstorm Turn ideas into comprehensive project specs through collaborative dialogue. Use BEFORE any planning or implementation — for new projects, features, or significant changes. Produces a system-agnostic spec document that can feed into any agentic workflow.
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llm-judge Compare code implementations across 2+ repos using LLM-as-judge methodology with weighted scoring
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write-adr Generate ADRs from decisions made in the current session. Extracts decisions, confirms with user, writes MADR-formatted documents.
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shadcn-code-review Reviews shadcn/ui components for CVA patterns, composition with asChild, accessibility states, and data-slot usage. Use when reviewing React components using shadcn/ui, Radix primitives, or Tailwind styling.
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gen-release-notes generate release notes for changes since a given tag
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github-projects GitHub Projects management via gh CLI for creating projects, managing items, fields, and workflows. Use when working with GitHub Projects (v2), adding issues/PRs to projects, creating custom fields, tracking project items, or automating project workflows. Triggers on gh project, project board, kanban, GitHub project, project items.
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llm-artifacts-detection Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.
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review-verification-protocol Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
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review-plan Review implementation plans for parallelization, TDD, types, libraries, and security before execution
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review-skill-improver Analyzes feedback logs to identify patterns and suggest improvements to review skills. Use when you have accumulated feedback data and want to improve review accuracy.
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review-verification-protocol Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.
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explanation-docs Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do
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