Total 56,830 skills, AI & Machine Learning has 9448 skills
Showing 12 of 9448 skills
Adapt an ML paper's writing, structure, positioning, and paragraph-level narrative to a target conference such as NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, or similar venues. Use this skill whenever the user wants to submit, rewrite, polish, restructure, or tailor a paper for a specific conference; asks what good accepted/oral papers at a venue look like; wants reviewer-friendly writing; or wants section-by-section or paragraph-by-paragraph paper guidance. This is a writing and presentation skill, not an experiment-design skill.
Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Execute Claude Code commands in the telegram_agent project directory. Use when the user wants to work on the telegram agent itself, fix bugs, add features, or modify the bot code. This is a COMMAND HANDLER, not a script executor.
Agent Workflow Designer
HNSW vector search with RuVector embeddings for 150x-12500x faster semantic retrieval
End-to-end hotel booking with USDC wallet payment. Use when the user wants the agent to search, book, and pay for a hotel in one autonomous flow — phrases like "book me a hotel in Tokyo and pay with USDC", "find a place in Paris and pay from my wallet", "handle the whole booking for next week". Orchestrates: search → select → authenticate wallet → fund if needed → pay via x402 → confirm. Do NOT use for search-only, payment-only, or non-hotel bookings.
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
Use when a user has finished using one installed skill and wants to preserve actionable feedback about that skill while the session context is still fresh
Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why is it slow", "reduce latency", "set up observability", "CloudWatch dashboard", "how much does my agent cost", "cost optimization", "logs not showing up", "logs missing", "spans not found", "eval failing", "eval error", "dev traces", "local traces", "agentcore dev traces", "traces to CloudWatch". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.
MCP Server Builder
Use when the user wants AI-generated short-form video — knowledge cards (picstory / 小红书 / TikTok / Reels), narrated explainers, presentations, AI clips, or slides — covering picstory, present, slides, explain, and image generation. For PaperSlide / paper-textured article-to-card reels, use voxflow:paper-slide.