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Found 8 Skills
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
Guide for creating agent skills that follow the Agent Skills specification. Use when user wants to create, write, draft, or improve a skill. Covers structure, description optimization, progressive disclosure, scripts, and evaluation.
Use this skill when you are not sure about a fact, have outdated knowledge, or the question is contested. Explicitly communicate the level of confidence instead of asserting uncertain things as fact.
Check what the business already knows before deciding anything. Run when the user says "what do we know about...", "have we tried this before", "check the vault", "what did we learn about X", and AUTOMATICALLY before any gauntlet, plan, offer, or big decision, per the charter's recall-first ritual. Answering a business question from model memory when the vault holds the founder's real history is the failure this skill exists to prevent.
Google Gemini integration. Manage Users, Conversations. Use when the user wants to interact with Google Gemini data.
Refine prompts for GPT models (GPT-5, GPT-5.1, Codex) using OpenAI's best practices. Use when preparing complex tasks for GPT.
Design, audit, and refactor production-safe agentic harnesses with provider-neutral best practices for tools, permissions, planning, context, and observability.
Apply James's AI trust principle to both outputs and autonomous actions. Use when generating or executing consequential changes, delegating tasks or assessing reliability; require independent verification, bounded permissions/time/data/money and recoverability proportionate to impact.