Skill UI

Guides agentic engineering efforts where AI agents execute implementation while humans focus on risk-aware evaluation, breaking work into verifiable units, routing models by complexity, and tracking costs and regression checks.

Manage and enrich Hugging Face model cards with structured evaluation results by extracting README tables, importing Artificial Analysis benchmarks, and running custom vLLM/lighteval evaluations, all while generating model-index metadata for HF workflows.

Provides six structured AI engineering workflows—from prompt evaluation and context budgeting to RAG architecture, security audits, evaluation harnesses, and product sense coaching—ensuring repeatable, CI/CD-friendly decisions before deployment.

Transforms a refined research proposal or method idea into a concise, claim-backed experiment roadmap, covering ablations, evaluation protocols, compute budgets, and execution order so papers can defend the problem, novelty, and any LLM/VLM/Diffusion/RL contribution.

Guide for using Burp Suite’s scanner, repeater, intruder, and DOM Invader to identify reflected, stored, and DOM XSS flaws during authorized web app assessments and CSP/filter evaluations.

Provides the workflow to run NVIDIA Cosmos Policy evaluations on the LIBERO and RoboCasa benchmarks, covering headless EGL rendering, smoke and full runs, and inference latency profiling for robot manipulation scenarios.

Run Hugging Face Hub model evaluations locally via inspect-ai or lighteval, pick between vllm, Transformers, or accelerate backends, and use smoke tests plus backend fallback guidance before scaling or handing off remote jobs.