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existential-birds AI Skills

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Browse published AI skills maintained by existential-birds. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

67

Repository stars across indexed skills

1,600

Repository forks

272

Average repository stars per indexed skill

24

Repository stars may repeat across skills from the same repository.

67 skills

Browse skills

GitHub

deepagents-code-review

existential-birds

Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configurat...

GitHub

receive-feedback

existential-birds

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.

GitHub

sqlite-vec

existential-birds

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, vec_distance, partiti...

GitHub

react-flow

existential-birds

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. Trig...

GitHub

agent-architecture-analysis

existential-birds

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.

GitHub

urlsession-code-review

existential-birds

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

GitHub

pydantic-ai-tool-system

existential-birds

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.

GitHub

langgraph-architecture

existential-birds

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...

GitHub

12-factor-apps

existential-birds

Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodo...

GitHub

llm-artifacts-detection

existential-birds

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...

GitHub

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.

GitHub

react-flow-implementation

existential-birds

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, custom component...

GitHub

review-verification-protocol

existential-birds

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

GitHub

react-flow-advanced

existential-birds

Advanced React Flow patterns for complex use cases. Use when implementing sub-flows, custom connection lines, programmatic layouts, drag-and-drop, undo/redo, or complex state synchronization.

GitHub

healthkit-code-review

existential-birds

Reviews HealthKit code for authorization patterns, query usage, background delivery, and data type handling. Use when reviewing code with import HealthKit, HKHealthStore, HKSampleQuery, HKObserverQuery, or HKQu...

GitHub

pydantic-ai-model-integration

existential-birds

Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.

GitHub

tailwind-v4

existential-birds

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, @tailwindcss/vite, ok...

GitHub

swift-code-review

existential-birds

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 Swi...

GitHub

review-feedback-schema

existential-birds

Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.

GitHub

review-skill-improver

existential-birds

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.

GitHub

pydantic-ai-agent-creation

existential-birds

Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.

GitHub

prometheus-go-code-review

existential-birds

Reviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code with prometheus/client_golang metrics.

GitHub

react-router-v7

existential-birds

React Router v7 best practices for data-driven routing. Use when implementing routes, loaders, actions, Form components, fetchers, navigation guards, protected routes, or URL search params. Triggers on createBr...

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.