Total 32,223 skills
Showing 12 of 32223 skills
This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.
Execute extract and use project memories from previous sessions for context-aware assistance. Use when recalling past decisions, checking project conventions, or understanding user preferences. Trigger with phrases like "remember when", "like before", or "what was our decision about".
Batch Request Handler - Auto-activating skill for API Integration. Triggers on: batch request handler, batch request handler Part of the API Integration skill category.
This skill should be used when the user asks to review, proofread, check, or evaluate content. It provides comprehensive text review (grammar, logic, compliance) and version evaluation (A/B testing, comparison analysis). Text review automatically adds AI disclaimer at the end.
Production readiness checklist covering domains, SEO, security, and deployment. Use when asked to "ship it", "deploy to production", "go live", "launch", or when preparing a project for production deployment.
Generate short videos with Seedance and save validated output files.
Expert guidance for building MCP (Model Context Protocol) servers using the TypeScript SDK. Use when developing MCP servers, implementing tools/resources/prompts, or working with the @modelcontextprotocol/sdk package. Covers server initialization, request handlers, Zod schemas, error handling, and JSON-RPC patterns.
Use Google Gemini API for text generation, multimodal analysis, image generation (Nano Banana), function calling, and search grounding. Invoke when user wants to use Gemini, ask Gemini, generate images with Gemini, or analyze content with Gemini.
Modern React with hooks and functional components. Trigger: When creating components, implementing hooks, managing state, or optimizing.
Review code for performance: complexity, database/query efficiency, I/O and network cost, memory and allocation behavior, concurrency contention, caching, and latency/throughput regressions. Cognitive-only atomic skill; output is a findings list.
Creates Robot Framework test cases for comparing actual vs expected CSV output files. Use when the user wants to compare CSV files, validate pipeline output against expected results, or needs to exclude dynamic columns from comparison.
Database specialist covering PostgreSQL, MongoDB, Redis, and advanced data patterns for modern applications