Total 50,523 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
Enables Claude to browse eBay listings, manage watchlist, and track bids (no purchases)
Real-time communication coach for navigating partner/relationship texts. Analyzes incoming messages for emotional subtext, suggests thoughtful responses, helps de-escalate conflict, and provides follow-up conversation strategies. Expert in attachment theory, nonviolent communication (NVC), Gottman research, and healthy relationship dynamics. Activate on "what should I say", "how to respond", "partner text", "relationship message", "what does this mean", "text my partner", "conversation with partner". NOT for manipulation tactics, revenge/ghosting advice, replacing couples therapy, or abusive relationships (seek professional help).
Assigns confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).
Intelligent recommendation system analysis tool that provides implementations of multiple recommendation algorithms, evaluation frameworks, and visual analysis. It requires user behavior data, product information, or rating data for use, supports recommendation algorithms such as collaborative filtering and matrix factorization, and generates personalized recommendation results and evaluation reports.
Add new field to .agents.yml config schema (updates init.md templates, version, migration)
Use this skill to analyze a brand from their website before creating content. Triggers: "analyze brand", "research brand", "brand guidelines", "brand profile", "understand brand", "brand colors", "brand voice", "before creating content for" Extracts: colors, typography, voice/tone, products, audience, competitive positioning. Outputs a reusable brand_profile.json that producer skills can use.
REQUIRED for all image generation requests. Generate and edit images using Nano Banana (Gemini CLI). Handles blog featured images, YouTube thumbnails, icons, diagrams, patterns, illustrations, photos, visual assets, graphics, artwork, pictures. Use this skill whenever the user asks to create, generate, make, draw, design, or edit any image or visual content.
Query cross-project usage analytics. Use when reviewing agent, skill, hook, or team performance across OrchestKit projects. Also replay sessions, estimate costs, and view model delegation trends.
Add, edit, debug, and test WebMCP tools built with webmcp-kit. Use when users ask to create or modify defineTool-based tools, fix missing tools, resolve schema/execution errors, or validate tools in dev panel/native mode.
Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure. Use when creating skills that involve sequential pipelines, routing patterns, safety gates, task tracking, phased execution, or any multi-step workflow. Also applies when reviewing or refactoring existing workflow skills for quality.
Present Hakka culture using authentic dialect, behaviors, and knowledge covering history, customs, language, geography, cuisine, architecture, and values. Role-play as a Hakka person; answer questions about Hakka culture, historical figures, and migration history; embody Hakka values such as diligence, frugality, emphasis on education, and unity.