Claude Skills Online Marketplace

Preview, draft, refine, or audit durable agent Goals with acceptance evidence, drift controls, proportional verification, and bounded waiting. Use for multi-stage work, not...

Use when substantive project work, structural code questions, research, planning, debugging, architecture, decisions, document ingest, incident recovery, or verified context and...

Use when the app or coding agent needs model capabilities (chat, speech, image, video, embeddings), app-user auth, Postgres, object storage, or other agent capabilities that can...

制作新 Skill，或改进已有 Skill。先按改动规模给出方案并等待确认，再生成或修改文件，并用真实任务对比改动前后的表现。用户要求做 Skill、把反复出现的问题沉淀成 Skill、修改或修复 Skill、根据失败案例改进 Skill、检查或测试 Skill 时使用；只有用户明确要求分享或发布时，才准备 GitHub 仓库并验证 。

Bulk AI image generation in Claude Code and Claude with Flux Pro Ultra through Wireflow. Turns a CSV, spreadsheet or list of prompts (or one prompt template plus a column of...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.

Guide to selecting and optimizing embedding models for vector search applications.

Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI....

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running...

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot

Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific...

Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels.

Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI....

Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.

Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well...

Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

Design tenant-scoped memory, retrieval and retention for agents. Use when planning RAG, conversation history, vector stores or remembering across sessions.