Loading...
Loading...
Found 2,622 Skills
Check all READMEs for accuracy and consistency across the meta-repo
Apply George Mack's High Agency approach to founder and leadership execution. Use when facing ambiguity, blockers, stalled execution, "impossible" constraints, cross-functional deadlock, or high-uncertainty decisions that require ownership and rapid action.
This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.
Platform-specific optimization for TikTok, Instagram Reels, and YouTube sponsored content. Includes 2025 algorithm updates, optimal lengths, and platform-native best practices. Auto-activates when discussing TikTok scripts, Reels content, YouTube sponsorships, platform optimization, or cross-platform repurposing. Use when writing platform-specific content or adapting scripts across platforms.
Guidance for data resharding tasks that involve reorganizing files across directory structures with constraints on file sizes and directory contents. This skill applies when redistributing datasets, splitting large files, or reorganizing data into shards while maintaining constraints like maximum files per directory or maximum file sizes. Use when tasks involve resharding, data partitioning, or directory-constrained file reorganization.
Guidance for implementing tensor parallelism in PyTorch, including ColumnParallelLinear and RowParallelLinear layers. This skill should be used when implementing distributed tensor parallel operations, sharding linear layers across multiple GPUs, or simulating collective operations like all-gather and all-reduce for parallel computation.
Use when multiple reviews or paper notes need integration, cross-cutting themes must be identified, or project-specific implications must be drawn from disparate sources
Smart LLM router — save 78% on inference costs. Routes every request to the cheapest capable model across 30+ models from OpenAI, Anthropic, Google, DeepSeek, and xAI.
This is intended for use when OpenSpec workflows require dependency-aware parallel subagents that are compatible with OPSX commands, legacy OpenSpec commands, and Codex CLI prompt aliases.
Track international packages across 20+ carriers including China Post, DHL, FedEx, UPS, Yanwen, and Cainiao. Detect carrier from tracking number format. Explain logistics statuses like customs clearance, transit, and delivery exceptions. Use when the user asks about package tracking, shipment status, delivery time, or logistics queries.
Ensures leading icons in lists are properly aligned to the first line of text when text wraps, preventing icons from vertically centering across multiple lines. Use when implementing list items with leading icons, SVG icons in flex containers, or when fixing icon alignment issues in wrapped text.
Provides comprehensive SAP Commerce Cloud (formerly Hybris) development guidance including type system modeling, service layer architecture, data management with ImpEx and FlexibleSearch, OCC API customization, B2C/B2B accelerator patterns, CronJobs, business processes, Solr search, promotions, caching, and Backoffice configuration. Use when the user asks to "create SAP Commerce extensions", "define item types in items.xml", "write ImpEx scripts", "implement service layer components (facades/services/DAOs)", "customize OCC REST APIs", "work with FlexibleSearch queries", "customize B2C or B2B accelerators", "configure Spring beans", "create CronJobs or scheduled tasks", "define business processes or order flows", "configure Solr search or indexing", "set up promotions or coupons", "configure caching", "customize Backoffice", mentions "Hybris development" or "SAP Commerce Cloud platform", or asks about troubleshooting SAP Commerce issues.