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existential-birds / beagle-adr-decision-extraction exact

Extract architectural decisions from conversations. Identifies problem-solution pairs, trade-off discussions, and explicit choices. Use when analyzing session transcripts for ADR generation.

existential-birds / beagle-llm-judge exact

LLM-as-judge methodology for comparing code implementations across repositories. Scores implementations on functionality, security, test quality, overengineering, and dead code using weighted...

existential-birds / beagle-explanation-docs exact

Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do

existential-birds / beagle-pydantic-ai-dependency-injection exact

Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.

existential-birds / beagle-urlsession-code-review exact

Reviews URLSession networking code for iOS/macOS. Covers async/await patterns, request building, error handling, caching, and background sessions.

existential-birds / beagle-react-flow-code-review exact

Reviews React Flow code for anti-patterns, performance issues, and best practices. Use when reviewing code that uses @xyflow/react, checking for common mistakes, or optimizing node-based UI...

existential-birds / beagle-tailwind-v4 exact

Tailwind CSS v4 with CSS-first configuration and design tokens. Use when setting up Tailwind v4, defining theme variables, using OKLCH colors, or configuring dark mode. Triggers on @theme,...

existential-birds / beagle-review-verification-protocol exact

Mandatory verification steps for all code reviews to reduce false positives. Load this skill before reporting ANY code review findings.

existential-birds / beagle-github-projects exact

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...

existential-birds / beagle-pydantic-ai-testing exact

Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.

existential-birds / beagle-docling exact

Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting text, converting to Markdown/HTML/JSON, chunking for RAG pipelines, or batch...

existential-birds / beagle-receive-feedback exact

Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before implementing, tracks disposition.

existential-birds / beagle-pydantic-ai-tool-system exact

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...

existential-birds / beagle-react-flow-implementation exact

Implements React Flow node-based UIs correctly using @xyflow/react. Use when building flow charts, diagrams, visual editors, or node-based applications with React. Covers nodes, edges, handles,...

existential-birds / beagle-watchos-code-review exact

Reviews watchOS code for app lifecycle, complications (ClockKit/WidgetKit), WatchConnectivity, and performance constraints. Use when reviewing code with import WatchKit, WKExtension,...

existential-birds / beagle-sqlite-vec exact

sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH,...

existential-birds / beagle-howto-docs exact

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

existential-birds / beagle-agent-architecture-analysis exact

Perform 12-Factor Agents compliance analysis on any codebase. Use when evaluating agent architecture, reviewing LLM-powered systems, or auditing agentic applications against the 12-Factor methodology.

existential-birds / beagle-deepagents-implementation exact

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.

existential-birds / beagle-pydantic-ai-common-pitfalls exact

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