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AI-Agentic-Skills-by-Dr.-Mia
AI-Agentic-Skills-by-Dr.-Mia enthält 8 gesammelte Skills von mdbabumiamssm, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Checks for potential drug-drug interactions (DDIs) between a list of medications.
Evaluate and observe agent systems with traced runs, curated datasets, rollout gates, and regression loops. Use when an agent workflow is moving beyond prototype and needs measurable reliability before broader autonomy or production rollout.
Reference older Anthropic model-specific reasoning patterns and migrate them to the current Anthropic operations skill. Use when maintaining a legacy Claude 3.7-specific example or translating it to current Claude model selection guidance.
Reference older DeepSeek R1-specific reasoning examples and migrate them to current DeepSeek API operations guidance. Use when preserving an open-model reasoning example without treating raw chain-of-thought exposure as a stable product contract.
Reference older Gemini Flash multimodal examples and migrate them to current Gemini operations guidance. Use when a pinned Gemini 2.0 example needs to be translated into the active Google GenAI SDK and model-selection path.
Design a supervisor-worker or debate-style multi-agent coordinator with explicit delegation and synthesis boundaries. Use when a task genuinely benefits from controlled specialization rather than a single-agent loop.
Study OpenAI Swarm as a lightweight historical handoff pattern and migration reference. Use when maintaining an existing Swarm prototype or when you need to translate a small handoff demo into the modern OpenAI Agents SDK.
Operate OpenClaw as a local AI assistant and agent OS with explicit security boundaries. Use when local system automation, browser work, and provider-pluggable execution need to stay on the operator's machine rather than moving to a hosted browser agent surface.