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Found 1,942 Skills
Analyzes events through journalistic lens using 5 Ws and H, investigative methods, source evaluation, fact-checking, newsworthiness criteria, and ethical journalism principles. Provides insights on story angles, information gaps, credibility, public interest, and media framing. Use when: Breaking news, information verification, source analysis, story development, media criticism. Evaluates: Factual accuracy, source credibility, completeness, newsworthiness, bias, public interest.
This skill is designed for any requests related to running/executing/evaluating code (such as run this code, execute script, plot with Python, run code/plot/execute script). Create a code_latest sandbox via AgentBay SDK, call run_code to execute and return results. Supports Python, JavaScript, R, Java.
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making
Deep multi-framework reasoning using Gemini. Use for complex problem analysis, challenging ideas, and evaluating multiple options with structured thinking.
Design, evaluate, and document software architecture patterns
A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.
Create or evaluate an architecture decision record (ADR). Use when choosing between technologies (e.g., Kafka vs SQS), documenting a design decision with trade-offs and consequences, reviewing a system design proposal, or designing a new component from requirements and constraints.
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.
Produces a concrete eval suite plan grounded in Microsoft's Eval Scenario Library and MS Learn agent evaluation guidance — scenario types, evaluation methods, quality signals, thresholds, and priority order — before any test cases are generated or evals are run.
Produces a CPA-ready year-end COGS schedule for Amazon sellers from Inventory Valuation Report, Settlement reports, and supplier POs. Catches the ending inventory math errors that overstate taxable income by 8-15%. Use when a user asks about year-end taxes, COGS, inventory valuation, or "tax pack for my accountant". Trigger phrases: "year-end taxes", "COGS schedule", "inventory valuation", "FIFO LIFO Amazon", "tax pack for CPA". Works with zero tools.
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
Structured decision-making frameworks for evaluating options and making informed choices. Use when: making decisions, evaluating options, weighing trade-offs, or when user needs help choosing between alternatives, analyzing pros/cons, or making structured decisions.