发现 content media llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Transform AI-sounding writing into natural, human prose. Use when creating or editing any written content—articles, essays, reports, emails, social posts, scripts, or marketing copy—to avoid patterns that signa...
Create, run, and manage Domino Jobs - batch executions for scripts, training, and data processing. Covers job configuration, hardware tiers, scheduled jobs (cron), monitoring status, viewing logs, and API-drive...
Trace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@add_tracing decorator, DominoRun context) with MLflow 3.2.0. Captures...
Access external LLM providers through Domino AI Gateway - a secure proxy with centralized API key management, usage monitoring, and compliance. Supports OpenAI, AWS Bedrock, Azure OpenAI, Anthropic, and more. U...
Enable AI-assisted development (vibe modeling) within Domino using MCP (Model Context Protocol) servers. AI coding assistants like Cursor and GitHub Copilot can execute commands as Domino jobs, maintaining secu...
Deploy and monitor model API endpoints in Domino. Covers creating prediction endpoints, version management, Grafana dashboards for latency/errors/resources, alerting, and GPU inference with NVIDIA Triton. Use w...
Create Domino Launchers - parameterized web forms for self-service job execution. Enable business users to run analyses, generate reports, and trigger batch predictions without coding. Covers parameter types, e...
Orchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelin...
Monitor deployed models in Domino including drift detection, model quality tracking, and alerting. Covers data drift analysis, prediction capture, baseline comparison, alert configuration, and remediation workf...
Track traditional ML experiments in Domino using the MLflow-based Experiment Manager. Covers experiment setup, auto-logging for sklearn/TensorFlow/PyTorch, manual logging, artifact storage, run comparison, and...
Cross-agent communication system with semantic search and GitHub sync. Check messages, find similar content, deduplicate, and sync with GitHub Issues for AI workflows across sessions.
Aggregate and analyze AI news from 7 authoritative sources including expert newsletters (Andrew Ng's The Batch), research papers (HuggingFace), industry news (TechCrunch, AI News), and community discussions (Re...
Collaborative blog writing assistant that helps draft articles in Aaron's voice and style
Connect to the Pieces MCP server (SSE) and reliably query or write to Pieces Long‑Term Memory (LTM) using query/write tool patterns (e.g., ask_pieces_ltm + create_pieces_memory), with practical troubleshooting...
Finetune LLMs to speak Slipstream natively - complete guide with GLM-4-9B
Create structured visualizations of stakeholder perspectives (says, thinks, does, feels) to build deep understanding. Use when conducting user research or validating assumptions.
Transform raw research into actionable insights that inform design decisions. Use during Define phase after completing research.
Token-efficient proxy for Naki's 47 MCP tools. Routes user intent to optimal MCP tool via agent isolation, saving 40-70% tokens. Use for any Naki game control, bot status, or UI operation.
Use buzzllm CLI to perform web searches, execute Python code in Docker, search/analyze local codebases, or generate code change blocks. Trigger when user asks for web search, Python execution, code analysis, or...
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Guide for using pagent - a PRD-to-code orchestration tool. Use when users ask how to use pagent, run agents, create PRDs, or transform requirements into code.
Analyzes completed projects to identify generalizable patterns, common workflows, and reusable knowledge worth extracting into skills. Use after completing a project to review LOG.md, skill updates, and project...
Transforms user project requirements into a structured CLAUDE.md context file. Use when starting a new project and need to document project goals, architecture, technical stack, constraints, and conventions. Th...
Manages project progress tracking and maintains a chronological log of completed tasks, decisions, and updates. Use when completing milestones, making architectural decisions, or documenting project evolution....
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。