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Found 316 Skills
Retrieves implementation knowledge, code examples, and documentation references. Use to inform technical decision-making when the user requires specific library usage, framework patterns, or syntax details. Trigger on requests to 'search docs', 'find code examples', or 'check implementation details'.
Comprehensive skill for building, deploying, and managing multi-agent AI systems with Agno framework
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Use this skill when building NLP pipelines, implementing text classification, semantic search, embeddings, or summarization. Triggers on text preprocessing, tokenization, embeddings, vector search, named entity recognition, sentiment analysis, text classification, summarization, and any task requiring natural language processing.
Alibaba Cloud Bailian Knowledge Base Retrieval Tool. Use Alibaba Cloud Bailian SDK to query and retrieve knowledge base content. Use when: User needs to query knowledge base, retrieve document content, or answer questions based on knowledge base. Prerequisites: (1) Install npm packages (2) Configure Alibaba Cloud credentials (via Alibaba Cloud CLI or environment variables). (3) Need to activate Bailian service.
Enforce allowed and forbidden conversation topics using semantic embedding similarity with session-aware drift detection
Build semantic search with Cloudflare Vectorize V2 (Sept 2024 GA). Covers V2 breaking changes: async mutations, 5M vectors/index (was 200K), 31ms latency (was 549ms), returnMetadata enum, and V1 deprecation (Dec 2024). Use when: migrating V1→V2, handling async mutations with mutationId, creating metadata indexes before insert, or troubleshooting "returnMetadata must be 'all'", V2 timing issues, metadata index errors, dimension mismatches.
Mistral AI efficient open models. Use for efficient AI.
최신 AI 키워드/도구/방법론을 빠르게 탐색하는 모드. 깊은 검증보다 개념 지도와 연결성 제공에 최적화.
module1~6 학습 내용을 복습하고 개념 연결성, 적용 판단력, 실행 계획까지 종합 점검하는 마무리 스킬.
AI trustworthiness testing using OWASP AI Testing Guide v1. Execute 44 test cases across 4 layers (Application, Model, Infrastructure, Data) with practical payloads and remediation.
Design or audit AI-first help centers/knowledge bases/FAQs, including taxonomy, article templates, analytics, and AI support (RAG, chatbot, escalation), using 2025-2026 best practices