Total 55,003 skills, AI & Machine Learning has 9122 skills
Showing 12 of 9122 skills
Replace generic perspectives with domain-specific expert roles selected dynamically per request. Automatically picks the 3 most relevant experts from a role pool (Security, Performance, UX, Cost, DX, Architecture, etc.) based on the task context.
OPC Architecture Understanding
Use when parameter values appear in multiple documents and consistency must be verified, especially for quantitative values that may differ due to measurement context or require reconciliation
Generate audio replies using TTS. Trigger with "read it to me [URL]" to fetch and read content aloud, or "talk to me [topic]" to generate a spoken response. Also responds to "speak", "say it", "voice reply".
Scans lyrics for pronunciation risks and prevents Suno mispronunciations. Use when writing lyrics with proper nouns, technical terms, homographs, or non-English words.
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
This skill should be used when the user asks to "create a skill", "build a skill", "write a skill", "improve skill structure", "understand skill creation", or mentions SKILL.md files, skill development, progressive disclosure, XML structure, or bundled resources (scripts, references, assets). Comprehensive guide for creating effective Claude Code skills.
Domain-specific keyword mappings for research report generation. Includes ROS2, AI/ML, and general engineering keywords for chapter classification and content mapping.
Generate comic and manga panels, strips, and pages using each::sense AI. Create superhero comics, manga pages, webtoons, action sequences, and convert photos to comic art with consistent characters.
Set up phone calling to OpenClaw using Deepgram Voice Agent API
End-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
Before declaring any task complete, actually verify the outcome. Run the code. Test the fix. Check the output. Claude's training optimizes for plausible-looking output, not verified-correct output. This skill forces the verification step that doesn't come naturally. No victory laps without proof.