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Found 1,909 Skills
Provides brand typography selection and hierarchy development frameworks including the Brand-First Typography Selection Process, Modular Scale System, Font Classification Matrix, Serif vs. Sans-Serif Decision Framework, Typeface Evaluation Criteria, Font Pairing Principles, WCAG accessibility requirements, and typography design tokens. Auto-activates during brand typography development, font selection, type hierarchy creation, and typography system work. Use when discussing brand typography, font selection, font pairing, type hierarchy, modular scale, typography accessibility, WCAG typography, or typography guidelines.
Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.
Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers
Documents the reasoning behind design decisions including alternatives considered, trade-offs evaluated, and principles applied. Use when making significant UX decisions, aligning with stakeholders on design direction, or preserving design context for future reference.
This skill leverages SellerSprite's market list selection capability to filter Amazon niche markets based on category dimensions, supporting numerous conditions such as market size, competition intensity, head concentration, seller structure, new product proportion, price/rating/gross margin ranges, etc. It is used to discover accessible markets and evaluate product selection directions. This skill is triggered when users mention Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection, SellerSprite market research, or category market research. Even if users do not explicitly mention 'SellerSprite', this skill should be triggered as long as their demand is to filter and evaluate Amazon markets by category dimensions.
Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Use when training, evaluating, exporting, or running inference for a TAO Optical Inspection model on AOI / quality-control data. Trigger phrases include "train optical inspection", "AOI defect detection", "Siamese defect classifier", "PCB / manufacturing inspection".
Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use, hallucination). Also use when provisioning online monitors for quality evaluation, or analyzing live metrics traffic footprints. NOTE: This skill currently only works for the Agent Runtime. Don't use for configuring general GCP alert policies or non-agent GCP alerting policies.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Analyzes events through sociological lens using social structures, institutions, stratification, culture, norms, collective behavior, and multiple theoretical perspectives (functionalist, conflict, symbolic interactionist). Provides insights on social patterns, group dynamics, inequality, socialization, social change, and collective action. Use when: Social movements, inequality, cultural trends, group behavior, institutions, identity, social change. Evaluates: Social structures, power relations, inequality, norms, group dynamics, cultural patterns, social change.
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across eight technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery) and five maturity levels. Use when users request `/readiness-report` or want to assess agent readiness, codebase maturity, or identify gaps preventing effective AI-assisted development.
Framework for assessing IT service providers, technology vendors, and third-party partners. Creates structured risk assessments across financial, operational, compliance, security, and reputational dimensions with regulatory checklists (GDPR, DORA, NIS2, SOX). Use when: (1) Evaluating new vendors or technology providers, (2) Conducting third-party risk assessments for procurement, (3) Performing critical vendor due diligence for regulatory compliance, (4) Creating vendor onboarding documentation, (5) Establishing ongoing vendor monitoring processes, (6) Assessing vendor concentration risk, or (7) Generating executive-level vendor risk reports.