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Found 46 Skills
Guide for adding new environment variables to the codebase. Ensures env.ts schemas include descriptions and .env.example is kept in sync. Triggers on: add env variable, new environment variable, env.ts change, add config variable, INKEEP_, adding to .env.
Adopt multiple expert personas sequentially for complex problem analysis from diverse perspectives. Single-agent only — do NOT spawn sub-agents.
Connect an AI agent to Handlebar governance platform
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.
A minimal teaching framework for understanding AI Agent architecture with core loop, fake LLM interface, and skill discovery system
Self-evolving autonomous agent framework with skill tree growth, browser/desktop/mobile control, and hierarchical memory system
Deep expertise in Hermes Agent architecture, implementation patterns, and extension development
A curated collection of research papers and resources on agentic reasoning for Large Language Models, organized by planning, tool use, search, self-evolution, and multi-agent systems.
Conducts investigative-grade research with primary source analysis, cross-verification, and trial-level depth. Use when an album needs factual research, source material, or verification of claims.
Azure cloud operations orchestration and Microsoft Agent Framework integration hub.