AI & LLM

deepagents-implementation @existential-birds

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining...

docling @existential-birds

Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting...

docs-style @existential-birds

Core technical documentation writing principles for voice, tone, structure, and LLM-friendly patterns. Use when...

explanation-docs @existential-birds

Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things...

fastapi-code-review @existential-birds

Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing...

github-projects @existential-birds

GitHub Projects management via gh CLI for creating projects, managing items, fields, and workflows. Use when working...

go-code-review @existential-birds

Reviews Go code for idiomatic patterns, error handling, concurrency safety, and common mistakes. Use when reviewing...

go-testing-code-review @existential-birds

Reviews Go test code for proper table-driven tests, assertions, and coverage patterns. Use when reviewing *_test.go files.

healthkit-code-review @existential-birds

Reviews HealthKit code for authorization patterns, query usage, background delivery, and data type handling. Use...

howto-docs @existential-birds

How-To guide patterns for documentation - task-oriented guides for users with specific goals

langgraph-architecture @existential-birds

Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives,...

langgraph-code-review @existential-birds

Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph,...

langgraph-implementation @existential-birds

Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state...

llm-artifacts-detection @existential-birds

Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction,...

llm-judge @existential-birds

LLM-as-judge methodology for comparing code implementations across repositories. Scores implementations on...

postgres-code-review @existential-birds

Reviews PostgreSQL code for indexing strategies, JSONB operations, connection pooling, and transaction safety. Use...

prometheus-go-code-review @existential-birds

Reviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code...

pydantic-ai-agent-creation @existential-birds

Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when...

pydantic-ai-common-pitfalls @existential-birds

Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or...

pydantic-ai-dependency-injection @existential-birds

Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database...

pydantic-ai-model-integration @existential-birds

Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when...

pydantic-ai-testing @existential-birds

Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit...

pydantic-ai-tool-system @existential-birds

Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when...

pytest-code-review @existential-birds

Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files,...