Loading...
Loading...
Found 1,926 Skills
Use when formulating clinical research questions (PICOT framework), evaluating health evidence quality (study design hierarchy, bias assessment, GRADE), prioritizing patient-important outcomes, conducting systematic reviews or meta-analyses, creating evidence summaries for guidelines, assessing regulatory evidence, or when user mentions clinical trials, evidence-based medicine, health research methodology, systematic reviews, research protocols, or study quality assessment.
Expert at analyzing documentation quality, coverage, and completeness. Auto-invokes when evaluating documentation health, checking documentation coverage, auditing existing docs, assessing documentation quality metrics, or analyzing how well code is documented. Provides frameworks for measuring documentation effectiveness.
Warden skill: evaluates first-pass findings and proposes deterministic lint rules that could permanently catch the same patterns. Requires Warden's multi-pass pipeline (phase 2).
Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.
Conduct Kepner-Tregoe (KT) Problem Solving and Decision Making (PSDM) analysis using the four rational processes - Situation Appraisal, Problem Analysis, Decision Analysis, and Potential Problem Analysis. Use when performing structured root cause analysis, making complex decisions, evaluating alternatives with weighted criteria, conducting IS/IS NOT specification analysis, anticipating implementation risks, troubleshooting complex issues, or when user mentions "Kepner-Tregoe", "KT method", "IS/IS NOT", "situation appraisal", "decision analysis", "MUSTS and WANTS", "potential problem analysis", or needs systematic problem-solving methodology. Includes specification matrices, decision scoring, quality rubrics, and professional report generation.
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
Integrasi Tailwind CSS v4 dengan Mantine v8 untuk Next.js. Gunakan skill ini ketika: (1) Membuat komponen UI yang menggabungkan utility classes Tailwind dengan komponen Mantine, (2) Mengkonfigurasi project Next.js dengan Tailwind v4 dan Mantine v8, (3) Mengimplementasikan dark mode yang konsisten antara Tailwind dan Mantine, (4) Membuat custom theme atau styling untuk komponen Mantine menggunakan Tailwind classes, (5) Setup project dengan App Router atau Pages Router.
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
Guides technical evaluation of code review feedback before implementation. Use when receiving PR comments, review suggestions, GitHub feedback, or when asked to address reviewer feedback. Emphasizes verification and reasoned pushback over blind agreement.
Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.
This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures rigorous, evidence-based analysis by: (1) Understanding code flow first via implementation-analysis protocol, (2) Systematically evaluating each dimension with specific criteria, (3) Providing actionable findings with file:line references. Triggers when users request: code analysis, design review, refactoring opportunities, code quality assessment, architecture evaluation.
Identifies which user segment to focus on first using pain severity, willingness to pay, reachability, and strategic alignment. Use when choosing your initial target audience or re-evaluating segment focus.