model-serving-inference
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
กลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไร
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
Checklist สำหรับตรวจสอบและกำจัด bloat ใน context, prompt, และ response เพื่อลด token cost และเพิ่ม signal-to-noise ratio
Comprehensive guide to evaluating Retrieval-Augmented Generation systems including retrieval metrics, generation quality, faithfulness, and end-to-end evaluation frameworks
Comprehensive guide to sandboxing AI agents including code execution isolation, resource limits, security boundaries, and safe tool execution
Interactive skill for adapting BMAD path references and enhancing skill content. Reviews skills for {project-root} references and prompts for handling choices.
Bootstrap and install BMAD-METHOD skills for Claude Code, Cursor, Antigravity, and other tools.
Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, Gemini, and Opencode backends with file references (@syntax) and structured output.
Searches Canva's Glean knowledge base for internal documentation, policies, how-tos, Slack threads, and company information. Use when asked about Canva processes, internal docs, Slack conversations, or company...
Apply Reflective Thought Composition (RTC) for deep analysis of complex problems. Use when facing complex tasks requiring structured reasoning.
Discover and analyze Claude Code session logs from ~/.claude/projects, including finding the current session and extracting tool calls, user messages, and conversation history
Use when you need to generate game art - sprites, textures, 3D model concepts. Uses FREE HuggingFace AI models.
Generate production-ready Workscript workflow JSON files for the Workscript Agentic Workflow Engine with built-in defensive guards and complexity detection. Use when asked to create workflows, automations, data...
Analyze user feedback and edit existing skills to perfection by applying targeted enhancements. Use when users want to improve, refine, iterate on, or perfect an existing skill based on specific feedback. Trigg...
Generate comprehensive {node_name}.example.json files that showcase real-world usage of Workscript workflow nodes. Use when asked to document a node, create node documentation, generate node examples, or produc...
Use when generating email replies for Michael, drafting emails, or tuning email response style. Provides Michael's email communication patterns and style guide.
Use when generating WhatsApp replies for Michael, auto-replying to messages, or tuning message response style. Provides Michael's communication patterns and style guide.
Use when working with clawdbot, configuring messaging bindings, WhatsApp/iMessage/Telegram channels, or managing agent identities. Auto-load when user mentions clawdbot, messaging bots, or channel configuration...
Use when generating multiple presentation slide images, creating slide decks with AI-generated visuals, or iterating on slide designs with image generation.
"Transform service catalog into high-ticket portfolio assets with progressive complexity: basic workflow or advanced Claude Code 2.1.0 features with agent coordination"
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.