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Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE. Auto-commits improvements (+2% net, no regression >5%) and reverts failures. Works with all 4 SDK implementations. Auto-activates on "improve agent", "self-improving loop", "agent eval loop", "benchmark agents", "run improvement cycle".
Capture webcam frames and video clips using the aeyes daemon. Use when asked to take a photo, snap a picture, grab a frame, record video, view live webcam stream, or inspect webcam feed. Supports multiple cameras and live streaming via web UI.
Capture architectural decisions and changes made during a GSDL project into a structured markdown document. Analyzes git history and diffs, extracts key decisions, and optionally pushes the doc to Slite or Notion as a child page. Called by the gsdl orchestrator after all implementation tasks are complete.
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.
Guides the agent through installing, configuring, and using Capacitor plugins from four sources — official Capacitor plugins, Capawesome plugins, Capacitor Firebase plugins, and Capacitor MLKit plugins. Covers installation, platform-specific configuration (Android and iOS), and basic usage examples. Do not use for migrating Capacitor apps or plugins to a newer version, setting up Capacitor Live Updates, or non-Capacitor mobile frameworks.